V0318 13:10:16.158000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "4579bb67b88ae9c42021183f88f2c382"}
	{
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	"args": {
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	"ph": "B",
	"cat": "dynamo_timed",
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V0318 13:10:16.263000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/torch/_dynamo/convert_frame.py", 0]}
V0318 13:10:16.264000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/__run_lpar_main__.py", 1]}
V0318 13:10:16.264000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/__par__/meta_only/bootstrap.py", 2]}
V0318 13:10:16.265000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/__par__/bootstrap.py", 3]}
V0318 13:10:16.265000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py", 4]}
V0318 13:10:16.265000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/torch/nn/modules/module.py", 5]}
V0318 13:10:16.266000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_logging/structured.py:27] {"str": ["/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/torch/_dynamo/eval_frame.py", 6]}
V0318 13:10:16.266000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/convert_frame.py:1031] {"dynamo_start": {"stack": [{"line": 38, "name": "<module>", "filename": 1, "loc": "__invoke_main()"}, {"line": 35, "name": "__invoke_main", "filename": 1, "loc": "run_as_main(module, main_function)"}, {"line": 98, "name": "run_as_main", "filename": 2, "loc": "oss_run_as_main("}, {"line": 94, "name": "run_as_main", "filename": 3, "loc": "main()"}, {"line": 57, "name": "main", "filename": 4, "loc": "torch.compile(model)(*example_inputs)"}, {"line": 1751, "name": "_wrapped_call_impl", "filename": 5, "loc": "return self._call_impl(*args, **kwargs)"}, {"line": 1762, "name": "_call_impl", "filename": 5, "loc": "return forward_call(*args, **kwargs)"}, {"line": 655, "name": "_fn", "filename": 6, "loc": "return fn(*args, **kwargs)"}, {"line": 1751, "name": "_wrapped_call_impl", "filename": 5, "loc": "return self._call_impl(*args, **kwargs)"}, {"line": 28, "name": "forward", "filename": 4}]}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.267000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "323b8e0213f0cab83306a93f5f377105"}
	{
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V0318 13:10:16.289000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:248] {"describe_storage": {"id": 0, "describer_id": 0, "size": 640}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.291000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:462] {"describe_tensor": {"id": 0, "ndim": 2, "dtype": "torch.float32", "device": "device(type='cuda', index=0)", "size": [16, 10], "is_leaf": true, "requires_grad": true, "is_parameter": true, "stride": [10, 1], "storage": 0, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Parameter object at 0x7efb59cfc630>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.291000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1869] {"describe_source": {"describer_id": 0, "id": 0, "source": "L['self']._modules['fc1']._parameters['weight']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.295000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:248] {"describe_storage": {"id": 1, "describer_id": 0, "size": 64}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.295000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:462] {"describe_tensor": {"id": 1, "ndim": 1, "dtype": "torch.float32", "device": "device(type='cuda', index=0)", "size": [16], "is_leaf": true, "requires_grad": true, "is_parameter": true, "stride": [1], "storage": 1, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Parameter object at 0x7efb59c77c90>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.296000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1869] {"describe_source": {"describer_id": 0, "id": 1, "source": "L['self']._modules['fc1']._parameters['bias']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.312000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:248] {"describe_storage": {"id": 2, "describer_id": 0, "size": 320}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.313000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:462] {"describe_tensor": {"id": 2, "ndim": 2, "dtype": "torch.float32", "device": "device(type='cuda', index=0)", "size": [8, 10], "is_leaf": true, "stride": [10, 1], "storage": 2, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Tensor object at 0x7efb595f0e50>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.313000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1869] {"describe_source": {"describer_id": 0, "id": 2, "source": "L['x']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.343000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:248] {"describe_storage": {"id": 3, "describer_id": 0, "size": 800}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.344000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:462] {"describe_tensor": {"id": 10, "ndim": 2, "dtype": "torch.float32", "device": "device(type='cuda', index=0)", "size": [10, 20], "is_leaf": true, "stride": [20, 1], "storage": 3, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Tensor object at 0x7efb59d4ede0>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.344000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1869] {"describe_source": {"describer_id": 0, "id": 10, "source": "L['a']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.349000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:248] {"describe_storage": {"id": 4, "describer_id": 0, "size": 2400}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.350000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:462] {"describe_tensor": {"id": 12, "ndim": 2, "dtype": "torch.float32", "device": "device(type='cuda', index=0)", "size": [20, 30], "is_leaf": true, "stride": [30, 1], "storage": 4, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Tensor object at 0x7efb596349f0>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.350000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1869] {"describe_source": {"describer_id": 0, "id": 12, "source": "L['b']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.352000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:248] {"describe_storage": {"id": 5, "describer_id": 0, "size": 1200}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.353000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:462] {"describe_tensor": {"id": 13, "ndim": 2, "dtype": "torch.float32", "device": "device(type='cuda', index=0)", "size": [10, 30], "is_leaf": true, "stride": [30, 1], "storage": 5, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Tensor object at 0x7efbb0625440>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.354000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_subclasses/meta_utils.py:1869] {"describe_source": {"describer_id": 0, "id": 13, "source": "L['c']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0318 13:10:16.373000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/output_graph.py:1414] {"dynamo_output_graph": {"sizes": {"l_self_modules_fc1_parameters_weight_": [16, 10], "l_self_modules_fc1_parameters_bias_": [16], "l_x_": [8, 10], "l_a_": [10, 20], "l_b_": [20, 30], "l_c_": [10, 30], "x": [8, 16], "x_1": [8, 16], "x_2": [8, 16], "d": [10, 20], "y": [10, 30], "z": [10, 30]}}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "22129e27a3aa41235767596d91e55534"}
	class GraphModule(torch.nn.Module):
	    def forward(self, L_self_modules_fc1_parameters_weight_: "f32[16, 10][10, 1]cuda:0", L_self_modules_fc1_parameters_bias_: "f32[16][1]cuda:0", L_x_: "f32[8, 10][10, 1]cuda:0", L_a_: "f32[10, 20][20, 1]cuda:0", L_b_: "f32[20, 30][30, 1]cuda:0", L_c_: "f32[10, 30][30, 1]cuda:0"):
	        l_self_modules_fc1_parameters_weight_ = L_self_modules_fc1_parameters_weight_
	        l_self_modules_fc1_parameters_bias_ = L_self_modules_fc1_parameters_bias_
	        l_x_ = L_x_
	        l_a_ = L_a_
	        l_b_ = L_b_
	        l_c_ = L_c_
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        x: "f32[8, 16][16, 1]cuda:0" = torch._C._nn.linear(l_x_, l_self_modules_fc1_parameters_weight_, l_self_modules_fc1_parameters_bias_);  l_x_ = l_self_modules_fc1_parameters_weight_ = l_self_modules_fc1_parameters_bias_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        x_1: "f32[8, 16][16, 1]cuda:0" = torch.nn.functional.relu(x, inplace = False);  x = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        x_2: "f32[8, 16][16, 1]cuda:0" = torch.sigmoid(x_1);  x_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        d: "f32[10, 20][20, 1]cuda:0" = l_a_ * 3.14;  l_a_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        y: "f32[10, 30][30, 1]cuda:0" = torch.addmm(l_c_, d, l_b_);  l_c_ = d = l_b_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        z: "f32[10, 30][30, 1]cuda:0" = torch._C._nn.gelu(y);  y = None
	        return (x_2, z)
	        
V0318 13:10:16.376000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "66841a5b5d8577a79116a9ae8063515b"}
	{
	"name": "backend_compile",
	"ts": 1742328616375813.5,
	"args": {
	"fn_name": "OutputGraph.call_user_compiler",
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:16.379000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:1843] {"inductor_pre_grad_graph": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "cb97386e954aa8d1e17bf2b2066be2b2"}
	class GraphModule(torch.nn.Module):
	    def forward(self, L_self_modules_fc1_parameters_weight_: "f32[16, 10][10, 1]cuda:0", L_self_modules_fc1_parameters_bias_: "f32[16][1]cuda:0", L_x_: "f32[8, 10][10, 1]cuda:0", L_a_: "f32[10, 20][20, 1]cuda:0", L_b_: "f32[20, 30][30, 1]cuda:0", L_c_: "f32[10, 30][30, 1]cuda:0"):
	        l_self_modules_fc1_parameters_weight_ = L_self_modules_fc1_parameters_weight_
	        l_self_modules_fc1_parameters_bias_ = L_self_modules_fc1_parameters_bias_
	        l_x_ = L_x_
	        l_a_ = L_a_
	        l_b_ = L_b_
	        l_c_ = L_c_
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        x: "f32[8, 16][16, 1]cuda:0" = torch._C._nn.linear(l_x_, l_self_modules_fc1_parameters_weight_, l_self_modules_fc1_parameters_bias_);  l_x_ = l_self_modules_fc1_parameters_weight_ = l_self_modules_fc1_parameters_bias_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        x_1: "f32[8, 16][16, 1]cuda:0" = torch.nn.functional.relu(x, inplace = False);  x = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        x_2: "f32[8, 16][16, 1]cuda:0" = torch.sigmoid(x_1);  x_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        d: "f32[10, 20][20, 1]cuda:0" = l_a_ * 3.14;  l_a_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        y: "f32[10, 30][30, 1]cuda:0" = torch.addmm(l_c_, d, l_b_);  l_c_ = d = l_b_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        z: "f32[10, 30][30, 1]cuda:0" = torch._C._nn.gelu(y);  y = None
	        return (x_2, z)
	        
	
	 # graph id: 139615857587536
V0318 13:10:16.382000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "5e26eed9420c538c547d1561e965da39"}
	{
	"name": "_recursive_pre_grad_passes",
	"ts": 1742328616382028.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:16.406000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/fx_passes/pre_grad.py:261] {"artifact": {"name": "before_recompile_pre_grad", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "22129e27a3aa41235767596d91e55534"}
	class GraphModule(torch.nn.Module):
	    def forward(self, L_self_modules_fc1_parameters_weight_: "f32[16, 10][10, 1]cuda:0", L_self_modules_fc1_parameters_bias_: "f32[16][1]cuda:0", L_x_: "f32[8, 10][10, 1]cuda:0", L_a_: "f32[10, 20][20, 1]cuda:0", L_b_: "f32[20, 30][30, 1]cuda:0", L_c_: "f32[10, 30][30, 1]cuda:0"):
	        l_self_modules_fc1_parameters_weight_ = L_self_modules_fc1_parameters_weight_
	        l_self_modules_fc1_parameters_bias_ = L_self_modules_fc1_parameters_bias_
	        l_x_ = L_x_
	        l_a_ = L_a_
	        l_b_ = L_b_
	        l_c_ = L_c_
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        x: "f32[8, 16][16, 1]cuda:0" = torch._C._nn.linear(l_x_, l_self_modules_fc1_parameters_weight_, l_self_modules_fc1_parameters_bias_);  l_x_ = l_self_modules_fc1_parameters_weight_ = l_self_modules_fc1_parameters_bias_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        x_1: "f32[8, 16][16, 1]cuda:0" = torch.nn.functional.relu(x, inplace = False);  x = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        x_2: "f32[8, 16][16, 1]cuda:0" = torch.sigmoid(x_1);  x_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        d: "f32[10, 20][20, 1]cuda:0" = l_a_ * 3.14;  l_a_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        y: "f32[10, 30][30, 1]cuda:0" = torch.addmm(l_c_, d, l_b_);  l_c_ = d = l_b_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        z: "f32[10, 30][30, 1]cuda:0" = torch._C._nn.gelu(y);  y = None
	        return (x_2, z)
	        
V0318 13:10:16.411000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/fx_passes/pre_grad.py:313] {"artifact": {"name": "after_recompile_pre_grad", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "22129e27a3aa41235767596d91e55534"}
	class GraphModule(torch.nn.Module):
	    def forward(self, L_self_modules_fc1_parameters_weight_: "f32[16, 10][10, 1]cuda:0", L_self_modules_fc1_parameters_bias_: "f32[16][1]cuda:0", L_x_: "f32[8, 10][10, 1]cuda:0", L_a_: "f32[10, 20][20, 1]cuda:0", L_b_: "f32[20, 30][30, 1]cuda:0", L_c_: "f32[10, 30][30, 1]cuda:0"):
	        l_self_modules_fc1_parameters_weight_ = L_self_modules_fc1_parameters_weight_
	        l_self_modules_fc1_parameters_bias_ = L_self_modules_fc1_parameters_bias_
	        l_x_ = L_x_
	        l_a_ = L_a_
	        l_b_ = L_b_
	        l_c_ = L_c_
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        x: "f32[8, 16][16, 1]cuda:0" = torch._C._nn.linear(l_x_, l_self_modules_fc1_parameters_weight_, l_self_modules_fc1_parameters_bias_);  l_x_ = l_self_modules_fc1_parameters_weight_ = l_self_modules_fc1_parameters_bias_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        x_1: "f32[8, 16][16, 1]cuda:0" = torch.nn.functional.relu(x, inplace = False);  x = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        x_2: "f32[8, 16][16, 1]cuda:0" = torch.sigmoid(x_1);  x_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        d: "f32[10, 20][20, 1]cuda:0" = l_a_ * 3.14;  l_a_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        y: "f32[10, 30][30, 1]cuda:0" = torch.addmm(l_c_, d, l_b_);  l_c_ = d = l_b_ = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        z: "f32[10, 30][30, 1]cuda:0" = torch._C._nn.gelu(y);  y = None
	        return (x_2, z)
	        
V0318 13:10:16.413000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "37974cc5a0959d278cfca0a07eeb8ded"}
	{
	"name": "_recursive_pre_grad_passes",
	"ts": 1742328616413145.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:16.433000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "b11712fdcf8331f3f025f6831f881f71"}
	{
	"name": "inductor_codecache_torch_key",
	"ts": 1742328616433055.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:16.435000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "29db32113e58c292b52b13617623ca62"}
	{
	"name": "inductor_codecache_torch_key",
	"ts": 1742328616435236.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:17.391000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "3665b8880d55a28ce0e2a31de47c5188"}
	{
	"name": "create_aot_dispatcher_function",
	"ts": 1742328617391601.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:17.465000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_functorch/_aot_autograd/dispatch_and_compile_graph.py:214] {"artifact": {"name": "aot_forward_graph_fw_metadata", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "26e8065363f92e0c82ef4c06a48c2eee"}
	ViewAndMutationMeta(input_info=[InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=True,
	                                              keep_input_mutations=True),
	                               InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=True,
	                                              keep_input_mutations=True),
	                               InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=False,
	                                              keep_input_mutations=True),
	                               InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=False,
	                                              keep_input_mutations=True),
	                               InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=False,
	                                              keep_input_mutations=True),
	                               InputAliasInfo(is_leaf=True,
	                                              mutates_data=False,
	                                              mutates_metadata=False,
	                                              mutations_hidden_from_autograd=True,
	                                              mutations_under_no_grad_or_inference_mode=False,
	                                              mutation_inductor_storage_resize=False,
	                                              mutates_storage_metadata=False,
	                                              requires_grad=False,
	                                              keep_input_mutations=True)],
	                    output_info=[OutputAliasInfo(output_type=<OutputType.non_alias: 1>,
	                                                raw_type=<class 'torch._subclasses.functional_tensor.FunctionalTensor'>,
	                                                base_idx=None,
	                                                dynamic_dims=set(),
	                                                requires_grad=False,
	                                                functional_tensor=None),
	                                OutputAliasInfo(output_type=<OutputType.non_alias: 1>,
	                                                raw_type=<class 'torch._subclasses.functional_tensor.FunctionalTensor'>,
	                                                base_idx=None,
	                                                dynamic_dims=set(),
	                                                requires_grad=False,
	                                                functional_tensor=None)],
	                    num_intermediate_bases=0,
	                    keep_input_mutations=True,
	                    traced_tangents=[],
	                    subclass_inp_meta=[PlainTensorMeta(unwrapped_idx=0,
	                                                      memory_format=None),
	                                      PlainTensorMeta(unwrapped_idx=1,
	                                                      memory_format=None),
	                                      PlainTensorMeta(unwrapped_idx=2,
	                                                      memory_format=None),
	                                      PlainTensorMeta(unwrapped_idx=3,
	                                                      memory_format=None),
	                                      PlainTensorMeta(unwrapped_idx=4,
	                                                      memory_format=None),
	                                      PlainTensorMeta(unwrapped_idx=5,
	                                                      memory_format=None)],
	                    subclass_fw_graph_out_meta=[PlainTensorMeta(unwrapped_idx=0,
	                                                               memory_format=None),
	                                               PlainTensorMeta(unwrapped_idx=1,
	                                                               memory_format=None)],
	                    subclass_tangent_meta=[],
	                    is_train=False,
	                    traced_tangent_metas=None,
	                    num_symints_saved_for_bw=None,
	                    grad_enabled_mutation=None,
	                    deterministic=None,
	                    static_input_indices=[0, 1],
	                    tokens={},
	                    indices_of_inputs_that_requires_grad_with_mutations_in_bw=[],
	                    bw_donated_idxs=None,
	                    num_backward_tokens=0,
	                    num_graphsafe_rng_states=0,
	                    graphsafe_rng_state_index=None)
V0318 13:10:17.468000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_functorch/_aot_autograd/dispatch_and_compile_graph.py:232] {"aot_inference_graph": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "c3f5082aeb2ea326ac9f2e16dd103727"}
	class <lambda>(torch.nn.Module):
	    def forward(self, arg0_1: "f32[16, 10][10, 1]cuda:0", arg1_1: "f32[16][1]cuda:0", arg2_1: "f32[8, 10][10, 1]cuda:0", arg3_1: "f32[10, 20][20, 1]cuda:0", arg4_1: "f32[20, 30][30, 1]cuda:0", arg5_1: "f32[10, 30][30, 1]cuda:0"):
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        permute: "f32[10, 16][1, 10]cuda:0" = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None
	        addmm: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        relu: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.relu.default(addmm);  addmm = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        sigmoid: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.sigmoid.default(relu);  relu = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        mul: "f32[10, 20][20, 1]cuda:0" = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        addmm_1: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        mul_1: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(addmm_1, 0.5)
	        mul_2: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None
	        erf: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.erf.default(mul_2);  mul_2 = None
	        add: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.add.Tensor(erf, 1);  erf = None
	        mul_3: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None
	        return (sigmoid, mul_3)
	        
V0318 13:10:17.470000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_functorch/_aot_autograd/jit_compile_runtime_wrappers.py:188] {"artifact": {"name": "torch._functorch.config", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "8ce3863ada904704c6dba11186dc19dd"}
	{
	"TYPE_CHECKING": false,
	"functionalize_rng_ops": false,
	"fake_tensor_allow_meta": true,
	"debug_assert": false,
	"debug_partitioner": true,
	"decompose_custom_triton_ops": true,
	"static_weight_shapes": true,
	"cse": true,
	"enable_autograd_cache": true,
	"enable_remote_autograd_cache": null,
	"view_replay_for_aliased_outputs": false,
	"max_dist_from_bw": 1000,
	"ban_recompute_used_far_apart": true,
	"ban_recompute_long_fusible_chains": true,
	"ban_recompute_materialized_backward": true,
	"ban_recompute_not_in_allowlist": true,
	"ban_recompute_reductions": true,
	"recompute_views": false,
	"activation_memory_budget": 1.0,
	"activation_memory_budget_runtime_estimator": "flops",
	"activation_memory_budget_solver": "dp",
	"visualize_memory_budget_pareto": false,
	"memory_budget_pareto_dir": null,
	"aggressive_recomputation": false,
	"fake_tensor_allow_unsafe_data_ptr_access": true,
	"unlift_effect_tokens": true,
	"fake_tensor_crossref": false,
	"fake_tensor_propagate_real_tensors": false,
	"donated_buffer": false,
	"torch_compile_graph_format": "svg",
	"generate_fake_kernels_from_real_mismatches": false,
	"graphsafe_rng_functionalization": true,
	"strict_autograd_cache": false,
	"unsafe_allow_optimization_of_collectives": false,
	"disable_guess_zero_tangent_for_mutated_input_subclass": false
	}
V0318 13:10:17.472000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "16e43b81159231f9d3ccb41d8e950040"}
	{
	"name": "compile_fx.<locals>.fw_compiler_base",
	"ts": 1742328617472151.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:17.474000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "66d15ee471e372e620ee3163c9344998"}
	{
	"name": "_recursive_joint_graph_passes",
	"ts": 1742328617474039.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:17.714000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "4f65bede60dd3bd0d9fd0eb0fbc3b535"}
	{
	"name": "pad_mm_benchmark",
	"ts": 1742328617714504.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:17.716000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "6bb57f31dcd028b5fc5b92750523c3f4"}
	{
	"name": "pad_mm_benchmark_get_do_bench",
	"ts": 1742328617716639.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:17.718000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "1f2f45eb61bdd796f68fc8f0bafa7c73"}
	{
	"name": "pad_mm_benchmark_get_do_bench",
	"ts": 1742328617718378.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.122000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "d7da203974d23490ce8126a7e5e259d6"}
	{
	"name": "pad_mm_benchmark",
	"ts": 1742328619122325.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.128000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "d63e2b83f3a76960ec461fbfcbbae1ec"}
	{
	"name": "pad_mm_benchmark",
	"ts": 1742328619128614.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.130000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e098be440ba6b77f9773186221d489e7"}
	{
	"name": "pad_mm_benchmark_get_do_bench",
	"ts": 1742328619130128.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.131000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "8c4bd977e93e66d89a14392a8a93ecfa"}
	{
	"name": "pad_mm_benchmark_get_do_bench",
	"ts": 1742328619131747.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.133000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "6a10816e3ab57a1684780af638fb9dc3"}
	{
	"name": "pad_mm_benchmark",
	"ts": 1742328619133561.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.136000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "d54d5fa9bcaaf806cd783ebfd2b5fa37"}
	{
	"name": "_recursive_joint_graph_passes",
	"ts": 1742328619136640.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.138000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "7cdcd57b1adbf1e04e604a8879062efc"}
	{
	"name": "inductor_compile",
	"ts": 1742328619138506.0,
	"args": {
	"fn_name": "compile_fx_inner",
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.159000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e41be8a0954b6d02eaa9ef76d63a2416"}
	{
	"name": "remote_fx_graph_cache_get",
	"ts": 1742328619159656.5,
	"args": {
	"fn_name": "FbRemoteFxGraphCache.get",
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.218000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "495b0d2f3547afb5aa959e1956eb1d4b"}
	{
	"name": "remote_fx_graph_cache_get",
	"ts": 1742328619218144.0,
	"args": {
	"fn_name": "FbRemoteFxGraphCache.get",
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.231000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:964] {"artifact": {"name": "fx_graph_runnable", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "dcfa854ebff6a9bc689d1da0e355f909"}
	
	import os
	os.environ['TORCH_TRACE'] = '/home/shangdiy/my_trace_log_dir'
	os.environ['TORCH_COMPILE_DEBUG'] = '1'
	os.environ['TORCH_LOGS'] = '+inductor'
	os.environ['PYTORCH_DDP_USE_SIDE_STREAM'] = '0'
	os.environ['TORCHINDUCTOR_CACHE_DIR'] = '/tmp/torchinductor_shangdiy'
	os.environ['TRITON_CACHE_MANAGER'] = 'triton.runtime.cache:RemoteCacheManager'
	os.environ['TRITON_REMOTE_CACHE_BACKEND'] = 'triton.fb.fb_memcache:FbMemcacheRemoteKernelCache'
	
	import torch
	from torch import tensor, device
	import torch.fx as fx
	from torch._dynamo.testing import rand_strided
	from math import inf
	import torch._inductor.inductor_prims
	
	import torch._dynamo.config
	import torch._inductor.config
	import torch._functorch.config
	import torch.fx.experimental._config
	
	
	torch._functorch.config.functionalize_rng_ops = False
	torch._functorch.config.debug_partitioner = True
	torch._functorch.config.fake_tensor_allow_unsafe_data_ptr_access = True
	torch._functorch.config.unlift_effect_tokens = True
	
	
	
	isolate_fails_code_str = None
	
	torch.ops.load_library("//caffe2/torch/fb/sparsenn:sparsenn_operators_gpu")
	torch.ops.load_library("//caffe2/torch/fb/sparsenn:sparsenn_operators")
	torch.ops.load_library("//deeplearning/fbgemm/fbgemm_gpu:sparse_ops_cpu")
	torch.ops.load_library("//deeplearning/fbgemm/fbgemm_gpu:sparse_ops")
	
	"""
	To run this script in fbcode:
	- Create a directory (//scripts/{your_unixname}/repro)
	- Put this file in scripts/{your_unixname}/repro/fx_graph_runnable.py
	- Add a TARGETS file that looks like the following
	- `buck2 run //scripts/{your_unixname}/repro:repro`
	
	NOTE: you may need additional deps to actually be able to run the script.
	```
	# Contents of TARGETS file
	load("@fbcode_macros//build_defs:python_binary.bzl", "python_binary")
	
	python_binary(
	    name = "repro",
	    main_src = "fx_graph_runnable.py",
	    deps = [
	        "//caffe2:torch",
	        "//caffe2/torch/fb/sparsenn:sparsenn_operators_gpu",
	        "//caffe2/torch/fb/sparsenn:sparsenn_operators",
	        "//deeplearning/fbgemm/fbgemm_gpu:sparse_ops_cpu",
	        "//deeplearning/fbgemm/fbgemm_gpu:sparse_ops",
	    ],
	)
	```
	"""
	
	# torch version: 2.8.0a0+fb
	# torch cuda version: 12.4.0
	# CUDA Info: 
	# nvcc not found
	# GPU Hardware Info: 
	# NVIDIA PG509-210 : 1 
	
	
	from torch.nn import *
	class Repro(torch.nn.Module):
	    def __init__(self) -> None:
	        super().__init__()
	
	    
	    
	    def forward(self, arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1):
	        permute = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None
	        addmm = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None
	        relu = torch.ops.aten.relu.default(addmm);  addmm = None
	        sigmoid = torch.ops.aten.sigmoid.default(relu);  relu = None
	        mul = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None
	        addmm_1 = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None
	        mul_1 = torch.ops.aten.mul.Tensor(addmm_1, 0.5)
	        mul_2 = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None
	        erf = torch.ops.aten.erf.default(mul_2);  mul_2 = None
	        add = torch.ops.aten.add.Tensor(erf, 1);  erf = None
	        mul_3 = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None
	        return (sigmoid, mul_3)
	        
	def load_args(reader):
	    buf0 = reader.storage(None, 640, device=device(type='cuda', index=0))
	    reader.tensor(buf0, (16, 10), is_leaf=True)  # arg0_1
	    buf1 = reader.storage(None, 64, device=device(type='cuda', index=0))
	    reader.tensor(buf1, (16,), is_leaf=True)  # arg1_1
	    buf2 = reader.storage(None, 320, device=device(type='cuda', index=0))
	    reader.tensor(buf2, (8, 10), is_leaf=True)  # arg2_1
	    buf3 = reader.storage(None, 800, device=device(type='cuda', index=0))
	    reader.tensor(buf3, (10, 20), is_leaf=True)  # arg3_1
	    buf4 = reader.storage(None, 2400, device=device(type='cuda', index=0))
	    reader.tensor(buf4, (20, 30), is_leaf=True)  # arg4_1
	    buf5 = reader.storage(None, 1200, device=device(type='cuda', index=0))
	    reader.tensor(buf5, (10, 30), is_leaf=True)  # arg5_1
	load_args._version = 0
	mod = Repro()
	if __name__ == '__main__':
	    from torch._dynamo.repro.after_aot import run_repro
	    with torch.no_grad():
	        run_repro(mod, load_args, accuracy=False, command='run', save_dir=None, tracing_mode='real', check_str=None)
	        # To run it separately, do 
	        # mod, args = run_repro(mod, load_args, accuracy=False, command='get_args', save_dir=None, tracing_mode='real', check_str=None)
	        # mod(*args)
V0318 13:10:19.252000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "c80fea4e2e028d4f692485da9e142076"}
	{
	"name": "_recursive_post_grad_passes",
	"ts": 1742328619252577.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.287000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/fx_passes/post_grad.py:118] {"artifact": {"name": "before_recompile_post_grad", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "c3f5082aeb2ea326ac9f2e16dd103727"}
	class <lambda>(torch.nn.Module):
	    def forward(self, arg0_1: "f32[16, 10][10, 1]cuda:0", arg1_1: "f32[16][1]cuda:0", arg2_1: "f32[8, 10][10, 1]cuda:0", arg3_1: "f32[10, 20][20, 1]cuda:0", arg4_1: "f32[20, 30][30, 1]cuda:0", arg5_1: "f32[10, 30][30, 1]cuda:0"):
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        permute: "f32[10, 16][1, 10]cuda:0" = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None
	        addmm: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        relu: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.relu.default(addmm);  addmm = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        sigmoid: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.sigmoid.default(relu);  relu = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        mul: "f32[10, 20][20, 1]cuda:0" = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:33 in forward, code: y = torch.addmm(c, d, b)
	        addmm_1: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        mul_1: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(addmm_1, 0.5)
	        mul_2: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None
	        erf: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.erf.default(mul_2);  mul_2 = None
	        add: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.add.Tensor(erf, 1);  erf = None
	        mul_3: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None
	        return (sigmoid, mul_3)
	        
V0318 13:10:19.315000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/fx_passes/post_grad.py:205] {"artifact": {"name": "after_recompile_post_grad", "encoding": "string"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e0258759b27eaa314a5bb003ca4d7c05"}
	class <lambda>(torch.nn.Module):
	    def forward(self, arg0_1: "f32[16, 10][10, 1]cuda:0", arg1_1: "f32[16][1]cuda:0", arg2_1: "f32[8, 10][10, 1]cuda:0", arg3_1: "f32[10, 20][20, 1]cuda:0", arg4_1: "f32[20, 30][30, 1]cuda:0", arg5_1: "f32[10, 30][30, 1]cuda:0"):
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        permute: "f32[10, 16][1, 10]cuda:0" = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None
	        
	        # No stacktrace found for following nodes
	        mm_default_1: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.mm.default(arg2_1, permute);  arg2_1 = permute = None
	        add_tensor_1: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.add.Tensor(mm_default_1, arg1_1);  mm_default_1 = arg1_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        relu: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.relu.default(add_tensor_1);  add_tensor_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        sigmoid: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.sigmoid.default(relu);  relu = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        mul: "f32[10, 20][20, 1]cuda:0" = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None
	        
	        # No stacktrace found for following nodes
	        mm_default: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mm.default(mul, arg4_1);  mul = arg4_1 = None
	        add_tensor: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.add.Tensor(mm_default, arg5_1);  mm_default = arg5_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        mul_1: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(add_tensor, 0.5)
	        mul_2: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(add_tensor, 0.7071067811865476);  add_tensor = None
	        erf: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.erf.default(mul_2);  mul_2 = None
	        add: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.add.Tensor(erf, 1);  erf = None
	        mul_3: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None
	        return (sigmoid, mul_3)
	        
V0318 13:10:19.317000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "a2321d5e241703040306378e251b2771"}
	{
	"name": "_recursive_post_grad_passes",
	"ts": 1742328619317133.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:19.324000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:1027] {"inductor_post_grad_graph": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e0258759b27eaa314a5bb003ca4d7c05"}
	class <lambda>(torch.nn.Module):
	    def forward(self, arg0_1: "f32[16, 10][10, 1]cuda:0", arg1_1: "f32[16][1]cuda:0", arg2_1: "f32[8, 10][10, 1]cuda:0", arg3_1: "f32[10, 20][20, 1]cuda:0", arg4_1: "f32[20, 30][30, 1]cuda:0", arg5_1: "f32[10, 30][30, 1]cuda:0"):
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:29 in forward, code: x = self.fc1(x)
	        permute: "f32[10, 16][1, 10]cuda:0" = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None
	        
	        # No stacktrace found for following nodes
	        mm_default_1: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.mm.default(arg2_1, permute);  arg2_1 = permute = None
	        add_tensor_1: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.add.Tensor(mm_default_1, arg1_1);  mm_default_1 = arg1_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:30 in forward, code: x = self.relu(x)
	        relu: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.relu.default(add_tensor_1);  add_tensor_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:31 in forward, code: x = self.sigmoid(x)
	        sigmoid: "f32[8, 16][16, 1]cuda:0" = torch.ops.aten.sigmoid.default(relu);  relu = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:32 in forward, code: d = a * 3.14
	        mul: "f32[10, 20][20, 1]cuda:0" = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None
	        
	        # No stacktrace found for following nodes
	        mm_default: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mm.default(mul, arg4_1);  mul = arg4_1 = None
	        add_tensor: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.add.Tensor(mm_default, arg5_1);  mm_default = arg5_1 = None
	        
	         # File: /data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py:34 in forward, code: z = torch.nn.functional.gelu(y)
	        mul_1: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(add_tensor, 0.5)
	        mul_2: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(add_tensor, 0.7071067811865476);  add_tensor = None
	        erf: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.erf.default(mul_2);  mul_2 = None
	        add: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.add.Tensor(erf, 1);  erf = None
	        mul_3: "f32[10, 30][30, 1]cuda:0" = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None
	        return (sigmoid, mul_3)
	        
V0318 13:10:19.325000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:1037] {"artifact": {"name": "inductor_post_to_pre_grad_nodes", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "2b0367df819d8c92c2000df35bd69301"}
	{"permute": [{"name": "x", "target": "<built-in function linear>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "mm_default_1": [{"name": "", "target": "", "graph_id": -1, "pass_name": "pass_pattern_2", "action": "create", "from_node": []}, {"name": "", "target": "", "graph_id": -1, "pass_name": "pattern_matcher", "action": "create", "from_node": []}, {"name": "mm", "target": "aten.mm.default", "graph_id": 139613349393648, "pass_name": "Interpreter_Replacer", "action": "replace", "from_node": [{"name": "addmm", "target": "aten.addmm.default", "graph_id": 139615752752048, "pass_name": "replace_by_example", "action": "replace", "from_node": [{"name": "x", "target": "<built-in function linear>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}]}], "add_tensor_1": [{"name": "add", "target": "aten.add.Tensor", "graph_id": 139613349393648, "pass_name": "Interpreter_Replacer", "action": "replace", "from_node": [{"name": "addmm", "target": "aten.addmm.default", "graph_id": 139615752752048, "pass_name": "replace_by_example", "action": "replace", "from_node": [{"name": "x", "target": "<built-in function linear>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}]}, {"name": "addmm", "target": "aten.addmm.default", "graph_id": 139615752752048, "pass_name": "pass_pattern_2", "action": "replace+create", "from_node": [{"name": "x", "target": "<built-in function linear>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}, {"name": "addmm", "target": "aten.addmm.default", "graph_id": 139615752752048, "pass_name": "pattern_matcher", "action": "replace+create", "from_node": [{"name": "x", "target": "<built-in function linear>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}], "relu": [{"name": "x_1", "target": "<function relu at 0x7efb5d517490>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "sigmoid": [{"name": "x_2", "target": "<built-in method sigmoid of type object at 0x55c744464e10>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "mul": [{"name": "d", "target": "<built-in function mul>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "mm_default": [{"name": "", "target": "", "graph_id": -1, "pass_name": "pass_pattern_2", "action": "create", "from_node": []}, {"name": "", "target": "", "graph_id": -1, "pass_name": "pattern_matcher", "action": "create", "from_node": []}, {"name": "mm", "target": "aten.mm.default", "graph_id": 139613349309808, "pass_name": "Interpreter_Replacer", "action": "replace", "from_node": [{"name": "addmm_1", "target": "aten.addmm.default", "graph_id": 139615752752048, "pass_name": "replace_by_example", "action": "replace", "from_node": [{"name": "y", "target": "<built-in method addmm of type object at 0x55c744464e10>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}]}], "add_tensor": [{"name": "add", "target": "aten.add.Tensor", "graph_id": 139613349309808, "pass_name": "Interpreter_Replacer", "action": "replace", "from_node": [{"name": "addmm_1", "target": "aten.addmm.default", "graph_id": 139615752752048, "pass_name": "replace_by_example", "action": "replace", "from_node": [{"name": "y", "target": "<built-in method addmm of type object at 0x55c744464e10>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}]}, {"name": "addmm_1", "target": "aten.addmm.default", "graph_id": 139615752752048, "pass_name": "pass_pattern_2", "action": "replace+create", "from_node": [{"name": "y", "target": "<built-in method addmm of type object at 0x55c744464e10>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}, {"name": "addmm_1", "target": "aten.addmm.default", "graph_id": 139615752752048, "pass_name": "pattern_matcher", "action": "replace+create", "from_node": [{"name": "y", "target": "<built-in method addmm of type object at 0x55c744464e10>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}, {"name": "addmm_1", "target": "aten.addmm.default", "graph_id": 139615752752048, "pass_name": "pass_pattern_2", "action": "replace+create", "from_node": [{"name": "y", "target": "<built-in method addmm of type object at 0x55c744464e10>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}, {"name": "addmm_1", "target": "aten.addmm.default", "graph_id": 139615752752048, "pass_name": "pattern_matcher", "action": "replace+create", "from_node": [{"name": "y", "target": "<built-in method addmm of type object at 0x55c744464e10>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}], "mul_1": [{"name": "z", "target": "<built-in function gelu>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "mul_2": [{"name": "z", "target": "<built-in function gelu>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "erf": [{"name": "z", "target": "<built-in function gelu>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "add": [{"name": "z", "target": "<built-in function gelu>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}], "mul_3": [{"name": "z", "target": "<built-in function gelu>", "graph_id": 139615857587536, "pass_name": "Interpreter_PropagateUnbackedSymInts", "action": "create", "from_node": []}]}
V0318 13:10:19.343000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e62e766ba126455dea56dc98d5e3c6f0"}
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V0318 13:10:19.453000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "be3292665f7ba4ce7726173892042d36"}
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V0318 13:10:19.455000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "4a71fc00a606a4a7c84cdb3d70553a6c"}
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V0318 13:10:19.456000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "4be6f585a5622ce4ab8289f9f434d348"}
	{
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V0318 13:10:19.457000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "9c7b1bfbd86ccdb412506de1c919b286"}
	{
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	"ph": "B",
	"cat": "dynamo_timed",
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V0318 13:10:19.462000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "62631fa3572af1de165ecc768b610cd6"}
	{
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V0318 13:10:19.522000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "5e4cba6e0dfc53b2ac293ccb788e6af2"}
	{
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	"cat": "dynamo_timed",
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V0318 13:10:19.525000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "bc36f85b7a14da850ef400ef2a3007b3"}
	{
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V0318 13:10:19.547000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "f9503aed6f744bf02e7217257883a329"}
	{
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V0318 13:10:19.549000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "3a8fad47e4df706c4c15762c762a7d5a"}
	{
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	},
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	"cat": "dynamo_timed",
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V0318 13:10:19.658000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "c19f07d8ca0265c0f1ed07aed5111ed7"}
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V0318 13:10:19.662000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/graph.py:2020] {"artifact": {"name": "inductor_triton_kernel_to_post_grad_nodes", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "d47e8442f6ad821d88442a186d79be4e"}
	{"triton_poi_fused_addmm_relu_sigmoid_0": ["sigmoid", "relu", "add_tensor_1"], "triton_poi_fused_mul_1": ["mul"], "triton_poi_fused_addmm_gelu_2": ["mul_3", "mul_1", "add_tensor", "add", "erf", "mul_2"]}
V0318 13:10:19.663000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/graph.py:2028] {"artifact": {"name": "inductor_provenance_tracking_node_mappings", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "d410f2aecab715ff114c0db36ae81fdc"}
	{"preToPost": {"x": ["permute", "mm_default_1", "add_tensor_1"], "x_1": ["relu"], "x_2": ["sigmoid"], "d": ["mul"], "y": ["mm_default", "add_tensor"], "z": ["mul_1", "mul_2", "erf", "add", "mul_3"]}, "postToPre": {"permute": ["x"], "mm_default_1": ["x"], "add_tensor_1": ["x"], "relu": ["x_1"], "sigmoid": ["x_2"], "mul": ["d"], "mm_default": ["y"], "add_tensor": ["y"], "mul_1": ["z"], "mul_2": ["z"], "erf": ["z"], "add": ["z"], "mul_3": ["z"]}, "cppCodeToPost": {"triton_poi_fused_addmm_relu_sigmoid_0": ["sigmoid", "relu", "add_tensor_1"], "triton_poi_fused_mul_1": ["mul"], "triton_poi_fused_addmm_gelu_2": ["mul_3", "mul_1", "add_tensor", "add", "erf", "mul_2"]}, "postToCppCode": {"sigmoid": ["triton_poi_fused_addmm_relu_sigmoid_0"], "relu": ["triton_poi_fused_addmm_relu_sigmoid_0"], "add_tensor_1": ["triton_poi_fused_addmm_relu_sigmoid_0"], "mul": ["triton_poi_fused_mul_1"], "mul_3": ["triton_poi_fused_addmm_gelu_2"], "mul_1": ["triton_poi_fused_addmm_gelu_2"], "add_tensor": ["triton_poi_fused_addmm_gelu_2"], "add": ["triton_poi_fused_addmm_gelu_2"], "erf": ["triton_poi_fused_addmm_gelu_2"], "mul_2": ["triton_poi_fused_addmm_gelu_2"]}}
V0318 13:10:19.664000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "70a93c55e11934fdb9a4b11e14fa6782"}
	{
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V0318 13:10:19.667000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "108731e5ff94c5508a9d6c92d3428dde"}
	{
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V0318 13:10:19.669000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "95f60e6df33e3fad4822744f91054b93"}
	{
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V0318 13:10:19.671000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/graph.py:2126] {"inductor_output_code": {"filename": "/tmp/torchinductor_shangdiy/w5/cw5frmrlwql2ciof4melbkw5xk45b4a7um3bagkadi3ezw6stgw5.py"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "0e1adbdd3373e91b02a1485a2533fb56"}
	# AOT ID: ['0_inference']
	from ctypes import c_void_p, c_long, c_int
	import torch
	import math
	import random
	import os
	import tempfile
	from math import inf, nan
	from cmath import nanj
	from torch._inductor.hooks import run_intermediate_hooks
	from torch._inductor.utils import maybe_profile
	from torch._inductor.codegen.memory_planning import _align as align
	from torch import device, empty_strided
	from torch._inductor.async_compile import AsyncCompile
	from torch._inductor.select_algorithm import extern_kernels
	from torch._inductor.codegen.multi_kernel import MultiKernelCall
	import triton
	import triton.language as tl
	from torch._inductor.runtime.triton_heuristics import start_graph, end_graph
	from torch._C import _cuda_getCurrentRawStream as get_raw_stream
	from torch._C import _cuda_getCurrentRawStream as get_raw_stream
	
	aten = torch.ops.aten
	inductor_ops = torch.ops.inductor
	_quantized = torch.ops._quantized
	assert_size_stride = torch._C._dynamo.guards.assert_size_stride
	empty_strided_cpu = torch._C._dynamo.guards._empty_strided_cpu
	empty_strided_cuda = torch._C._dynamo.guards._empty_strided_cuda
	empty_strided_xpu = torch._C._dynamo.guards._empty_strided_xpu
	reinterpret_tensor = torch._C._dynamo.guards._reinterpret_tensor
	alloc_from_pool = torch.ops.inductor._alloc_from_pool
	async_compile = AsyncCompile()
	empty_strided_p2p = torch._C._distributed_c10d._SymmetricMemory.empty_strided_p2p
	
	
	# kernel path: /tmp/torchinductor_shangdiy/3r/c3rtmrz7stp4v7oekjqgtl2wpxdrmoszpwduog2bfuqcnml7nwt7.py
	# Topologically Sorted Source Nodes: [add, x_1, x_2], Original ATen: [aten.addmm, aten.relu, aten.sigmoid]
	# Source node to ATen node mapping:
	#   add => add_tensor_1
	#   x_1 => relu
	#   x_2 => sigmoid
	# Graph fragment:
	#   %add_tensor_1 : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%mm_default_1, %arg1_1), kwargs = {})
	#   %relu : [num_users=1] = call_function[target=torch.ops.aten.relu.default](args = (%add_tensor_1,), kwargs = {})
	#   %sigmoid : [num_users=1] = call_function[target=torch.ops.aten.sigmoid.default](args = (%relu,), kwargs = {})
	triton_poi_fused_addmm_relu_sigmoid_0 = async_compile.triton('triton_poi_fused_addmm_relu_sigmoid_0', '''
	import triton
	import triton.language as tl
	from triton.compiler.compiler import AttrsDescriptor
	
	from torch._inductor.runtime import triton_helpers, triton_heuristics
	from torch._inductor.runtime.triton_helpers import libdevice, math as tl_math
	from torch._inductor.runtime.hints import AutotuneHint, ReductionHint, TileHint, DeviceProperties
	triton_helpers.set_driver_to_gpu()
	
	@triton_heuristics.pointwise(
	    size_hints={'x': 128}, 
	    filename=__file__,
	    triton_meta={'signature': {'in_out_ptr0': '*fp32', 'in_ptr0': '*fp32', 'xnumel': 'i32'}, 'device': DeviceProperties(type='cuda', index=0, multi_processor_count=108, cc=80, major=8, regs_per_multiprocessor=65536, max_threads_per_multi_processor=2048, warp_size=32), 'constants': {}, 'configs': [AttrsDescriptor.from_dict({'arg_properties': {'tt.divisibility': (0, 1, 2), 'tt.equal_to': ()}, 'cls': 'AttrsDescriptor'})]},
	    inductor_meta={'grid_type': 'Grid1D', 'autotune_hints': set(), 'kernel_name': 'triton_poi_fused_addmm_relu_sigmoid_0', 'mutated_arg_names': ['in_out_ptr0'], 'optimize_mem': True, 'no_x_dim': False, 'num_load': 2, 'num_reduction': 0, 'backend_hash': '0C5F8A5CCD47169406A178EB3183BA226C4037D56F887534F770B759606011CE', 'are_deterministic_algorithms_enabled': False, 'assert_indirect_indexing': True, 'autotune_local_cache': True, 'autotune_pointwise': True, 'autotune_remote_cache': None, 'force_disable_caches': False, 'dynamic_scale_rblock': True, 'max_autotune': False, 'max_autotune_pointwise': False, 'min_split_scan_rblock': 256, 'spill_threshold': 16, 'store_cubin': False, 'is_fbcode': True},
	    min_elem_per_thread=0
	)
	@triton.jit
	def triton_poi_fused_addmm_relu_sigmoid_0(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
	    xnumel = 128
	    xoffset = tl.program_id(0) * XBLOCK
	    xindex = xoffset + tl.arange(0, XBLOCK)[:]
	    xmask = xindex < xnumel
	    x2 = xindex
	    x0 = (xindex % 16)
	    tmp0 = tl.load(in_out_ptr0 + (x2), xmask)
	    tmp1 = tl.load(in_ptr0 + (x0), xmask, eviction_policy='evict_last')
	    tmp2 = tmp0 + tmp1
	    tmp3 = tl.full([1], 0, tl.int32)
	    tmp4 = triton_helpers.maximum(tmp3, tmp2)
	    tmp5 = tl.sigmoid(tmp4)
	    tl.store(in_out_ptr0 + (x2), tmp5, xmask)
	''', device_str='cuda')
	
	
	# kernel path: /tmp/torchinductor_shangdiy/b3/cb3jkckb6rowzu3hu3m5shee7y7nhxjyaocbptq6hcxri263wr7z.py
	# Topologically Sorted Source Nodes: [d], Original ATen: [aten.mul]
	# Source node to ATen node mapping:
	#   d => mul
	# Graph fragment:
	#   %mul : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%arg3_1, 3.14), kwargs = {})
	triton_poi_fused_mul_1 = async_compile.triton('triton_poi_fused_mul_1', '''
	import triton
	import triton.language as tl
	from triton.compiler.compiler import AttrsDescriptor
	
	from torch._inductor.runtime import triton_helpers, triton_heuristics
	from torch._inductor.runtime.triton_helpers import libdevice, math as tl_math
	from torch._inductor.runtime.hints import AutotuneHint, ReductionHint, TileHint, DeviceProperties
	triton_helpers.set_driver_to_gpu()
	
	@triton_heuristics.pointwise(
	    size_hints={'x': 256}, 
	    filename=__file__,
	    triton_meta={'signature': {'in_ptr0': '*fp32', 'out_ptr0': '*fp32', 'xnumel': 'i32'}, 'device': DeviceProperties(type='cuda', index=0, multi_processor_count=108, cc=80, major=8, regs_per_multiprocessor=65536, max_threads_per_multi_processor=2048, warp_size=32), 'constants': {}, 'configs': [AttrsDescriptor.from_dict({'arg_properties': {'tt.divisibility': (0, 1), 'tt.equal_to': ()}, 'cls': 'AttrsDescriptor'})]},
	    inductor_meta={'grid_type': 'Grid1D', 'autotune_hints': set(), 'kernel_name': 'triton_poi_fused_mul_1', 'mutated_arg_names': [], 'optimize_mem': True, 'no_x_dim': False, 'num_load': 1, 'num_reduction': 0, 'backend_hash': '0C5F8A5CCD47169406A178EB3183BA226C4037D56F887534F770B759606011CE', 'are_deterministic_algorithms_enabled': False, 'assert_indirect_indexing': True, 'autotune_local_cache': True, 'autotune_pointwise': True, 'autotune_remote_cache': None, 'force_disable_caches': False, 'dynamic_scale_rblock': True, 'max_autotune': False, 'max_autotune_pointwise': False, 'min_split_scan_rblock': 256, 'spill_threshold': 16, 'store_cubin': False, 'is_fbcode': True},
	    min_elem_per_thread=0
	)
	@triton.jit
	def triton_poi_fused_mul_1(in_ptr0, out_ptr0, xnumel, XBLOCK : tl.constexpr):
	    xnumel = 200
	    xoffset = tl.program_id(0) * XBLOCK
	    xindex = xoffset + tl.arange(0, XBLOCK)[:]
	    xmask = xindex < xnumel
	    x0 = xindex
	    tmp0 = tl.load(in_ptr0 + (x0), xmask)
	    tmp1 = 3.14
	    tmp2 = tmp0 * tmp1
	    tl.store(out_ptr0 + (x0), tmp2, xmask)
	''', device_str='cuda')
	
	
	# kernel path: /tmp/torchinductor_shangdiy/4q/c4qviqa7huazfnj66bg4w2dl3mo5ra55jmtjvxt5cl4mdonq756r.py
	# Topologically Sorted Source Nodes: [add, z], Original ATen: [aten.addmm, aten.gelu]
	# Source node to ATen node mapping:
	#   add => add_tensor
	#   z => add, erf, mul_1, mul_2, mul_3
	# Graph fragment:
	#   %add_tensor : [num_users=2] = call_function[target=torch.ops.aten.add.Tensor](args = (%mm_default, %arg5_1), kwargs = {})
	#   %mul_1 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_tensor, 0.5), kwargs = {})
	#   %mul_2 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%add_tensor, 0.7071067811865476), kwargs = {})
	#   %erf : [num_users=1] = call_function[target=torch.ops.aten.erf.default](args = (%mul_2,), kwargs = {})
	#   %add : [num_users=1] = call_function[target=torch.ops.aten.add.Tensor](args = (%erf, 1), kwargs = {})
	#   %mul_3 : [num_users=1] = call_function[target=torch.ops.aten.mul.Tensor](args = (%mul_1, %add), kwargs = {})
	triton_poi_fused_addmm_gelu_2 = async_compile.triton('triton_poi_fused_addmm_gelu_2', '''
	import triton
	import triton.language as tl
	from triton.compiler.compiler import AttrsDescriptor
	
	from torch._inductor.runtime import triton_helpers, triton_heuristics
	from torch._inductor.runtime.triton_helpers import libdevice, math as tl_math
	from torch._inductor.runtime.hints import AutotuneHint, ReductionHint, TileHint, DeviceProperties
	triton_helpers.set_driver_to_gpu()
	
	@triton_heuristics.pointwise(
	    size_hints={'x': 512}, 
	    filename=__file__,
	    triton_meta={'signature': {'in_out_ptr0': '*fp32', 'in_ptr0': '*fp32', 'xnumel': 'i32'}, 'device': DeviceProperties(type='cuda', index=0, multi_processor_count=108, cc=80, major=8, regs_per_multiprocessor=65536, max_threads_per_multi_processor=2048, warp_size=32), 'constants': {}, 'configs': [AttrsDescriptor.from_dict({'arg_properties': {'tt.divisibility': (0, 1), 'tt.equal_to': ()}, 'cls': 'AttrsDescriptor'})]},
	    inductor_meta={'grid_type': 'Grid1D', 'autotune_hints': set(), 'kernel_name': 'triton_poi_fused_addmm_gelu_2', 'mutated_arg_names': ['in_out_ptr0'], 'optimize_mem': True, 'no_x_dim': False, 'num_load': 2, 'num_reduction': 0, 'backend_hash': '0C5F8A5CCD47169406A178EB3183BA226C4037D56F887534F770B759606011CE', 'are_deterministic_algorithms_enabled': False, 'assert_indirect_indexing': True, 'autotune_local_cache': True, 'autotune_pointwise': True, 'autotune_remote_cache': None, 'force_disable_caches': False, 'dynamic_scale_rblock': True, 'max_autotune': False, 'max_autotune_pointwise': False, 'min_split_scan_rblock': 256, 'spill_threshold': 16, 'store_cubin': False, 'is_fbcode': True},
	    min_elem_per_thread=0
	)
	@triton.jit
	def triton_poi_fused_addmm_gelu_2(in_out_ptr0, in_ptr0, xnumel, XBLOCK : tl.constexpr):
	    xnumel = 300
	    xoffset = tl.program_id(0) * XBLOCK
	    xindex = xoffset + tl.arange(0, XBLOCK)[:]
	    xmask = xindex < xnumel
	    x0 = xindex
	    tmp0 = tl.load(in_out_ptr0 + (x0), xmask)
	    tmp1 = tl.load(in_ptr0 + (x0), xmask)
	    tmp2 = tmp0 + tmp1
	    tmp3 = 0.5
	    tmp4 = tmp2 * tmp3
	    tmp5 = 0.7071067811865476
	    tmp6 = tmp2 * tmp5
	    tmp7 = libdevice.erf(tmp6)
	    tmp8 = 1.0
	    tmp9 = tmp7 + tmp8
	    tmp10 = tmp4 * tmp9
	    tl.store(in_out_ptr0 + (x0), tmp10, xmask)
	''', device_str='cuda')
	
	
	async_compile.wait(globals())
	del async_compile
	
	def call(args):
	    arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1 = args
	    args.clear()
	    assert_size_stride(arg0_1, (16, 10), (10, 1))
	    assert_size_stride(arg1_1, (16, ), (1, ))
	    assert_size_stride(arg2_1, (8, 10), (10, 1))
	    assert_size_stride(arg3_1, (10, 20), (20, 1))
	    assert_size_stride(arg4_1, (20, 30), (30, 1))
	    assert_size_stride(arg5_1, (10, 30), (30, 1))
	    with torch.cuda._DeviceGuard(0):
	        torch.cuda.set_device(0)
	        buf0 = empty_strided_cuda((8, 16), (16, 1), torch.float32)
	        # Topologically Sorted Source Nodes: [], Original ATen: [aten.addmm]
	        extern_kernels.mm(arg2_1, reinterpret_tensor(arg0_1, (10, 16), (1, 10), 0), out=buf0)
	        del arg0_1
	        del arg2_1
	        buf1 = buf0; del buf0  # reuse
	        # Topologically Sorted Source Nodes: [add, x_1, x_2], Original ATen: [aten.addmm, aten.relu, aten.sigmoid]
	        stream0 = get_raw_stream(0)
	        triton_poi_fused_addmm_relu_sigmoid_0.run(buf1, arg1_1, 128, stream=stream0)
	        del arg1_1
	        buf2 = empty_strided_cuda((10, 20), (20, 1), torch.float32)
	        # Topologically Sorted Source Nodes: [d], Original ATen: [aten.mul]
	        stream0 = get_raw_stream(0)
	        triton_poi_fused_mul_1.run(arg3_1, buf2, 200, stream=stream0)
	        del arg3_1
	        buf3 = empty_strided_cuda((10, 30), (30, 1), torch.float32)
	        # Topologically Sorted Source Nodes: [d, ], Original ATen: [aten.mul, aten.addmm]
	        extern_kernels.mm(buf2, arg4_1, out=buf3)
	        del arg4_1
	        del buf2
	        buf4 = buf3; del buf3  # reuse
	        # Topologically Sorted Source Nodes: [add, z], Original ATen: [aten.addmm, aten.gelu]
	        stream0 = get_raw_stream(0)
	        triton_poi_fused_addmm_gelu_2.run(buf4, arg5_1, 300, stream=stream0)
	        del arg5_1
	    return (buf1, buf4, )
	
	
	def benchmark_compiled_module(times=10, repeat=10):
	    from torch._dynamo.testing import rand_strided
	    from torch._inductor.utils import print_performance
	    arg0_1 = rand_strided((16, 10), (10, 1), device='cuda:0', dtype=torch.float32)
	    arg1_1 = rand_strided((16, ), (1, ), device='cuda:0', dtype=torch.float32)
	    arg2_1 = rand_strided((8, 10), (10, 1), device='cuda:0', dtype=torch.float32)
	    arg3_1 = rand_strided((10, 20), (20, 1), device='cuda:0', dtype=torch.float32)
	    arg4_1 = rand_strided((20, 30), (30, 1), device='cuda:0', dtype=torch.float32)
	    arg5_1 = rand_strided((10, 30), (30, 1), device='cuda:0', dtype=torch.float32)
	    fn = lambda: call([arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1])
	    return print_performance(fn, times=times, repeat=repeat)
	
	
	if __name__ == "__main__":
	    from torch._inductor.wrapper_benchmark import compiled_module_main
	    compiled_module_main('None', benchmark_compiled_module)
	
V0318 13:10:19.672000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "3abe8e479b7bd9702c1d6c2b5a57689b"}
	{
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	"ts": 1742328619672813.8,
	"args": {
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	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
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V0318 13:10:19.683000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "16d6578f3d56550ef7aaa28144ced70a"}
	{
	"name": "async_compile.precompile",
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	"args": {
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	"ph": "B",
	"cat": "dynamo_timed",
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V0318 13:10:19.722000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "2c16cfb8a4f1aaace4ad69c145ab3983"}
	{
	"name": "async_compile.precompile",
	"ts": 1742328619722433.2,
	"args": {
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	},
	"ph": "E",
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V0318 13:10:19.725000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e217a0984b499edf1ea928cfdb9f681d"}
	{
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V0318 13:10:19.762000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "47a4b192d3f0295171e308d3924fbe68"}
	{
	"name": "async_compile.precompile",
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	"ph": "E",
	"cat": "dynamo_timed",
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V0318 13:10:19.765000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "0a2480264938c010bfce004a98973702"}
	{
	"name": "async_compile.precompile",
	"ts": 1742328619765247.2,
	"args": {
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V0318 13:10:19.812000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "7436dd9afcaaef8e7e59b9e4d971a11e"}
	{
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V0318 13:10:19.814000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "29669e7776af66d592a560fbb82bbb4f"}
	{
	"name": "async_compile.wait",
	"ts": 1742328619814497.5,
	"args": {
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	},
	"ph": "B",
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V0318 13:10:19.816000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "8619780b59363acf7713e91fdf4aba13"}
	{
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V0318 13:10:19.818000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "b764bab516a9fd14e9b100432a4be89f"}
	{
	"name": "PyCodeCache.load_by_key_path",
	"ts": 1742328619818184.8,
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V0318 13:10:19.822000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "140f7ae225d3d074002bc966f3541bca"}
	{
	"name": "code_gen",
	"ts": 1742328619822580.0,
	"args": {
	"fn_name": "GraphLowering.compile_to_module",
	"compile_id": "0/0"
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V0318 13:10:19.824000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "988c992d1c32883f387693dcdd42963a"}
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V0318 13:10:19.827000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "8449e77961906b4c95d7f74743b5857b"}
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V0318 13:10:19.830000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "2f68cdc06a1843daa0f0b473b662df02"}
	{
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	"cat": "dynamo_timed",
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V0318 13:10:19.835000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "66b3f262ef19966c48fb9a83e4d8cee3"}
	{
	"name": "remote_fx_graph_cache_put",
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	"args": {
	"fn_name": "FbRemoteFxGraphCache.put",
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	"ph": "B",
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V0318 13:10:21.916000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "a2e3494345e9dc43d7daf6f9ad8a5de9"}
	{
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	"args": {
	"fn_name": "FbRemoteFxGraphCache.put",
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V0318 13:10:21.919000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1846] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "789abb7448de474bdd9d155d2c979b38"}
	{
	"name": "fx_graph_cache_miss",
	"ts": 1742328619141530.8,
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	"key": "ff7e22ju4pitb2q6iltemg2i722b5ovoz3r57bqtldmgcfrfubn5",
	"components": [
	"[q6emymqiih222avm4hnlisho3xczxr4xrphl2hdtmsk3rsdkc4c] gm: <lambda>()\n\n\n\ndef forward(self, arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1):\n    permute = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None\n    addmm = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None\n    relu = torch.ops.aten.relu.default(addmm);  addmm = None\n    sigmoid = torch.ops.aten.sigmoid.default(relu);  relu = None\n    mul = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None\n    addmm_1 = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None\n    mul_1 = torch.ops.aten.mul.Tensor(addmm_1, 0.5)\n    mul_2 = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None\n    erf = torch.ops.aten.erf.default(mul_2);  mul_2 = None\n    add = torch.ops.aten.add.Tensor(erf, 1);  erf = None\n    mul_3 = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None\n    return (sigmoid, mul_3)\n    \n# To see more debug info, please use `graph_module.print_readable()`",
	"[hfmxfm6st3xlbvce5ue3cy3bhejpeiuytvk7ibwy6dc4k6oelf3] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=640, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[mddyexj2qoxouaugfa7ewxlmax7lrnjibw5wstpsaxqwedquenp] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16]), stride=(1,), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=64, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[yvy6aq6vwnl2wjel5wtqrtzjvckgfhc3nxfk7dqxuzualmaacy2] example_inputs[2]: TensorMetadata(dtype=torch.float32, shape=torch.Size([8, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[hzvhfucpnupnxxil53uxdh7haq4lwvaik52c5wwd3wczqt5l6ca] example_inputs[3]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 20]), stride=(20, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[3e6tbf7u2wmu5eje4fdivbgqwbnxubaidgcd3bn44n77wab53an] example_inputs[4]: TensorMetadata(dtype=torch.float32, shape=torch.Size([20, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[55zuxhqsrqfcji7osepnqiryibkezi23xs6kdydsclq5zk74ib7] example_inputs[5]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] cache_key_tag: ",
	"[lmglpn4zi7vob56n34r2j2rk7flv5xfgrcvmo7xcpirqsitygqx] fx_kwargs[boxed_forward_device_index]: BoxedDeviceIndex(value=None)",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[cpp_wrapper]: False",
	"[xq2hdkbfkbcuye6rgtypayrkhqf4cntij2dsd24rei3lsknakkf] fx_kwargs[cudagraphs]: BoxedBool(value=False)",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[extern_node_serializer]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[is_backward]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] fx_kwargs[is_inference]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[layout_opt]: None",
	"[nnqi2dye4qdwjdgeujlxh7d67y2n67kat5ehf3472pn5avlyqbk] fx_kwargs[static_input_idxs]: [0, 1]",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inputs_to_check[0]: 2",
	"[kcuxe2zwm3mzv2uk6adm6iskoy35bqfv725twacrdewod2dbl5d] inputs_to_check[1]: 3",
	"[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inputs_to_check[2]: 4",
	"[qs5hilycp4ew4ivtc7m5jaxp7q4pm5slioxw3fi3ur6ei65ybz4] inputs_to_check[3]: 5",
	"[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)",
	"[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)",
	"[vyj2jqvww4jrcwoasotjls4lo7crzctaeqljjtzdjkevahnw6ru] torch_version: <bytes>",
	"[c3z7bmoxyo6gl5hi47v6dc7jwsl55b3asd75nr25uyengi5ah3p] system_info[device]: {'name': 'NVIDIA PG509-210'}",
	"[ztyieqowwpoqct6ve5253nsja2qhhbkqmfyya35aeo722rc4mjb] system_info[version]: {'triton': ('210b4baffea37cd227bfb7f26352cda04be8faf205caa23c5ed0e48a7df9b5d1', []), 'cuda': '12.4.0'}",
	"[tmkbatajbdkf4cer73zvafst5olsv34r2ckzsq2atr2nloepzrj] system_info[hash]: fc87786b2163ad7325b9b04ca24dd290e520b0071a82ba8219ef491aae8f36e3",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[TYPE_CHECKING]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[can_inplace_pad_graph_input]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[enable_auto_functionalized_v2]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_progress]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[verbose_progress]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[fx_graph_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[fx_graph_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundle_triton_into_fx_graph_cache]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_local_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[autotune_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundled_autotune_remote_cache]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_disable_caches]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[sleep_sec_TESTING_ONLY]: None",
	"[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[custom_op_default_layout_constraint]: needs_fixed_stride_order",
	"[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[triton_kernel_default_layout_constraint]: needs_fixed_stride_order",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_wrapper]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp_cache_precompile_headers]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[online_softmax]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[dce]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[static_weight_shapes]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[size_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[nan_asserts]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[scalar_asserts]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pick_loop_orders]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_buffers]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[allow_buffer_reuse]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[memory_planning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_fast_math]: False",
	"[x75won4jmsgeb63pcvwr2y4eteyzzdhmf5rv6xhjppie4hx2yu5] inductor_config[memory_pool]: intermediates",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_harness]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[epilogue_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[prologue_fusion]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[epilogue_fusion_first]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pattern_matcher]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[b2b_gemm_pass]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_pre_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_post_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[pre_grad_custom_pass]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_cat_fx_passes]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[efficient_conv_bn_eval_fx_passes]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_predispatch]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[group_fusion]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[batch_fusion]: True",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[pre_grad_fusion_options]: {}",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[post_grad_fusion_options]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_locality]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[dynamic_scale_rblock]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_fuse_int_mm_with_mul]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_mixed_mm]: True",
	"[zwmmbkdkarexuhbigurz5lfnhx64tht7fznecjkrvznh6rzivbv] inductor_config[fx_passes_numeric_check]: {'pre_grad': False, 'precision': 0.0001, 'num_iterations': 1, 'requires_optimizer': True}",
	"[v2td5s4lnsvyxvaevy4chx6kc5h3mm2axazbgwimqule5zrzao7] inductor_config[mixed_mm_choice]: heuristic",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[reorder_for_compute_comm_overlap]: False",
	"[ssupi7bu3rrhdpg2jyegzncu3kg3nnhklyliqvutaxgs7y7k3dx] inductor_config[reorder_for_compute_comm_overlap_passes]: ['reorder_compute_for_overlap', 'sink_waits', 'raise_comms']",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_peak_memory]: True",
	"[lxxtoqhcoepwfokeiibd575gnxo3uzwiv4hmpomlwkpzqz3qzsh] inductor_config[estimate_op_runtime]: default",
	"[yezuzjtg4h3jjur4jwtwiehbyixa7eonq4tqsqmwqve2lvvmrem] inductor_config[intra_node_bw]: 300",
	"[5fxczt3ciyxitdhizb7sfsgn7fhpczcqsngttnt5ot2wyctk7co] inductor_config[inter_node_bw]: 25",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_experimental_benchmarker]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_pointwise]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_gemm]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[autotune_num_choices_displayed]: 10",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[graph_partition]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[force_same_precision]: True",
	"[2y7luesktjrque3nr7qtxnum2mkbeegzdrsvkm3rvdlhqboajhx] inductor_config[max_autotune_gemm_backends]: ATEN,TRITON,CPP",
	"[uqlsbif4zxd75vt522p52txyuguieipi2lwz5g5awt56lccqk7s] inductor_config[max_autotune_conv_backends]: ATEN,TRITON",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[max_autotune_gemm_search_space]: DEFAULT",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_fallback_to_aten]: True",
	"[wft6ljqsfr3x4m7fa5zuyb7cwknky4irrxz4bjr6uzr2yiopxqj] inductor_config[unbacked_symint_fallback]: 8192",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[search_autotune_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[save_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_in_subproc]: False",
	"[iglov24t7x5ruci344aer2tm6nqshi4veuw4wxlssxtu46cx76m] inductor_config[max_autotune_subproc_result_timeout_seconds]: 60.0",
	"[bh33ranllcgilhgmgr3qvygzxjm6isq5iexnfm3zx6fnr2zwlp2] inductor_config[max_autotune_subproc_graceful_timeout_seconds]: 1.0",
	"[pwoh5aypf4fxbntdvwt67rppxorqos6xr3w7qzeun6kblbfg2ga] inductor_config[max_autotune_subproc_terminate_timeout_seconds]: 2.0",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_multi_device]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_tuning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_check_all_directions]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[coordinate_descent_search_radius]: 1",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[autoheuristic_collect]: ",
	"[jwbrgxes7vjqumngs5hyj6gn5nytv2whnppnzngvaagfmawhkkd] inductor_config[autoheuristic_use]: mixed_mm",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[autoheuristic_log_path]: DEFAULT",
	"[4p2fdjlvxrcw7c7fvzm5huhtqxnro4kvkx56f7p5zyrxqkwooov] inductor_config[layout_opt_default]: 1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[layout_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_layout_optimization]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[keep_output_stride]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[warn_mix_layout]: False",
	"[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inductor_config[realize_reads_threshold]: 4",
	"[rr5m5hsocoyodldz7vcvaizdwvm2rt34evmqdxvng7wz3tufvo6] inductor_config[realize_opcount_threshold]: 30",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[realize_acc_reads_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[fallback_random]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[implicit_fallbacks]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aggressive_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_fusion]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[enabled_metric_tables]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[loop_ordering_after_fusion]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[score_fusion_memory_threshold]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_epilogue_fusion]: True",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[max_epilogue_benchmarked_choices]: 1",
	"[jykiys6ynafs3zdylwa5ggq6j655mxeh42d6mtdi22gffkrmiac] inductor_config[max_fusion_size]: 64",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[max_pointwise_cat_inputs]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_pointwise_cat]: False",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[unroll_reductions_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[comment_origin]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[conv_1x1_as_mm]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_kernel]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[constant_and_index_propagation]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[always_keep_tensor_constants]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[assert_indirect_indexing]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[compute_all_bounds]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernels]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_combo_kernel]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernels_autotune]: 1",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernel_allow_mixed_sizes]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernel_foreach_dynamic_shapes]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[joint_graph_constant_folding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_index_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[emulate_precision_casts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_nightly_or_source]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[developer_warnings]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[optimize_scatter_upon_const_tensor]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[add_pre_grad_passes]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[remove_pre_grad_passes]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[global_cache_dir]: None",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[kernel_name_max_ops]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[shape_padding]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[comprehensive_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_channels_last]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_padding_cpu]: True",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[padding_alignment_bytes]: 128",
	"[dnnw5ks3yxrp7mwvihb2hh4tqx35ye637xt33x64kw4fvz2nyzg] inductor_config[padding_stride_threshold]: 1024",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_outputs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bw_outputs_user_visible]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_shape_pad]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[permute_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profiler_mark_wrapper_call]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[generate_intermediate_hooks]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_ir_traceback]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[profile_bandwidth_regex]: ",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[profile_bandwidth_output]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth_with_do_bench_using_profiling]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[disable_cpp_codegen]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing_discard_parameters]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[decompose_mem_bound_mm]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_aligned_inputs]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_ignore_unsupported_triton_autotune_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[check_stack_no_cycles_TESTING_ONLY]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[enable_linear_binary_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[annotate_training]: False",
	"[sz3im5ogc6asp7g4uqocnovype63tkdexzfrniv6hn2oank3biu] inductor_config[cpp.threads]: -1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.no_redundant_loops]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.dynamic_threads]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.simdlen]: None",
	"[g7rrnbg5yonzux3cfj5ovre5lob3ayda7qcfpxjvtwmiz4uicii] inductor_config[cpp.min_chunk_size]: 4096",
	"[c7zj4qytmety6keurs3hsh5wn7foxp3dqx4kym2ucszzcb2ngrf] inductor_config[cpp.cxx]: (None, 'g++')",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_kernel_profile]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.weight_prepack]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_relu_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_log1p_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.vec_isa_ok]: None",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[cpp.descriptive_names]: original_aten",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[cpp.max_horizontal_fusion_size]: 16",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.fallback_scatter_reduce_sum]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_unsafe_math_opt_flag]: False",
	"[ijs44lspkinjvhcs7uff7n3noc53jvsp4yfljjh22mafhb7khxe] inductor_config[cpp.enable_floating_point_contract_flag]: off",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_tiling_heuristics]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_grouped_gemm_template]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cpp.gemm_max_k_slices]: 1",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_cache_blocking]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_thread_factors]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_loop_tail_vec]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_concat_linear]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_trees]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_skip_dynamic_graphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.slow_path_cudagraph_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_trees_history_recording]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_support_input_mutation]: False",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[triton.cudagraph_unexpected_rerecord_limit]: 128",
	"[tuax46wac7rfv2trf5gcps6vleo3cq44lbnrdxtprvo3ljjaddj] inductor_config[triton.cudagraph_dynamic_shape_warn_limit]: 50",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraph_sync]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraphs_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.fast_path_cudagraph_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_cudagraph_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_graph]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_kernel]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.dense_indexing]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[triton.max_tiles]: 2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.prefer_nd_tiling]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_pointwise]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_cublasLt]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.autotune_at_compile_time]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.tile_reductions]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_pointwise_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_reduction_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.unique_kernel_names]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.unique_user_kernel_names]: False",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[triton.descriptive_names]: original_aten",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.persistent_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cooperative_reductions]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cooperative_reductions]: False",
	"[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inductor_config[triton.multi_kernel]: 0",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.divisible_by_16]: True",
	"[fv6slhtedtydps5s5u2etitscliblzcidyitqf7krsv4e23fzk6] inductor_config[triton.min_split_scan_rblock]: 256",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.store_cubin]: False",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[triton.spill_threshold]: 16",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.use_block_ptr]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.inject_relu_bug_TESTING_ONLY]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.codegen_upcast_to_fp32]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.enable_persistent_tma_matmul]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_l1_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.disallow_failing_autotune_kernels_TESTING_ONLY]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.output_path]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.debug_compile]: False",
	"[6fxyf5ymh244xdypwkhtsbszab4nnfsgmul2kmyqmw422i5h54e] inductor_config[aot_inductor.compile_wrapper_opt_level]: O1",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[aot_inductor.debug_intermediate_value_printer]: 0",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[aot_inductor.filtered_kernel_names]: None",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_in_spec]: ",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_out_spec]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_runtime_constant_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.force_mmap_weights]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package_cpp_only]: False",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.metadata]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.raise_error_on_ignored_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.dump_aoti_minifier]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[aot_inductor.repro_level]: 2",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.presets]: {}",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.allow_stack_allocation]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_minimal_arrayref_interface]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.package_constants_in_so]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.precompile_headers]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.arch]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.version]: None",
	"[tvyftmtdmezlejo2xllu7awzv4pzc4vm4fub4b3gpl5jptjkosi] inductor_config[cuda.compile_opt_level]: -O1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_cuda_lto]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_ptxas_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_debug_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.use_fast_math]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_max_profiling_configs]: None",
	"[xaicuyqjstadzph6cgvxowlzizkts6kzmfupsnbyaorxh37cppz] inductor_config[cuda.cutlass_max_profiling_swizzle_options]: [1, 2, 4]",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cuda_cxx]: None",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cuda.cutlass_backend_min_gemm_size]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_allowlist_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_denylist_regex]: None",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[cuda.cutlass_instantiation_level]: 0",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[rocm.arch]: []",
	"[3w3j4h2iiu3addwyb5alaeecz3so7teb23hp4d5n3b46w5n73ur] inductor_config[rocm.ck_supported_arch]: ['gfx90a', 'gfx942']",
	"[klfqjprnpfhcdurgvuikvc4rpd5ynkpk77toousr5h3u5roty6p] inductor_config[rocm.compile_opt_level]: -O2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.is_debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.save_temps]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.use_fast_math]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.flush_denormals]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.print_kernel_resource_usage]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.rocm_home]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.ck_dir]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.n_max_profiling_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.use_preselected_instances]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.kBatch_sweep]: None",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[rocm.split_k_threshold]: 16",
	"[bsvfcwwoczx2rlkdz2eta6doujsymyihmi46hhwk6clrrvwcb6m] inductor_config[cpu_backend]: cpp",
	"[caw4ly2z672k6kjfahoxwpajp5idhhtrpgf3ma2clylcp7c7aid] inductor_config[cuda_backend]: triton",
	"[ljhgflgihidopsfsdcbqynv27nceykby3nutyd5jlcpq7n6e7l4] inductor_config[halide.cpu_target]: host",
	"[wx7vmsmrdpk5ue2txlywp3lj3faqmdjphs5fgg2ehzsyno7uovg] inductor_config[halide.gpu_target]: host-cuda",
	"[svgytlua5wcyeia7wq7e6zgh5tsueikrnzchmdmouvmkpfsc2zq] inductor_config[halide.scheduler_cuda]: Anderson2021",
	"[k5ogk6345jvklsnu7g2njqstiz2g6pm5wmqpgg3kasrmuqwjvl6] inductor_config[halide.scheduler_cpu]: Adams2019",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.scan_kernels]: False",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[external_matmul]: []",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.force_extern_kernel_in_multi_template]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.max_mm_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.runtime_triton_dtype_assert]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_name_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_desc_regex]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.graphsafe_rng_func_ignores_fallback_random]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_pre_pass: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_post_pass: None"
	],
	"cache_event_time": 1742328619220348199,
	"cache_state": "miss",
	"triton_bundler_meta": "TritonBundlerMetadata(cached_kernel_names=['triton_poi_fused_addmm_relu_sigmoid_0', 'triton_poi_fused_mul_1', 'triton_poi_fused_mul_1', 'triton_poi_fused_addmm_gelu_2', 'triton_poi_fused_addmm_gelu_2'])",
	"time_taken_ns": 685751955,
	"compile_id": "0/0"
	},
	"ph": "i",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0,
	"s": "p"
	}
V0318 13:10:21.920000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_inductor/compile_fx.py:824] {"artifact": {"name": "fx_graph_cache_miss", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "fc698ee8ca89a3226a2a8d531a7e1c28"}
	{"key": "ff7e22ju4pitb2q6iltemg2i722b5ovoz3r57bqtldmgcfrfubn5", "components": ["[q6emymqiih222avm4hnlisho3xczxr4xrphl2hdtmsk3rsdkc4c] gm: <lambda>()\n\n\n\ndef forward(self, arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1):\n    permute = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None\n    addmm = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None\n    relu = torch.ops.aten.relu.default(addmm);  addmm = None\n    sigmoid = torch.ops.aten.sigmoid.default(relu);  relu = None\n    mul = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None\n    addmm_1 = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None\n    mul_1 = torch.ops.aten.mul.Tensor(addmm_1, 0.5)\n    mul_2 = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None\n    erf = torch.ops.aten.erf.default(mul_2);  mul_2 = None\n    add = torch.ops.aten.add.Tensor(erf, 1);  erf = None\n    mul_3 = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None\n    return (sigmoid, mul_3)\n    \n# To see more debug info, please use `graph_module.print_readable()`", "[hfmxfm6st3xlbvce5ue3cy3bhejpeiuytvk7ibwy6dc4k6oelf3] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=640, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[mddyexj2qoxouaugfa7ewxlmax7lrnjibw5wstpsaxqwedquenp] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16]), stride=(1,), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=64, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[yvy6aq6vwnl2wjel5wtqrtzjvckgfhc3nxfk7dqxuzualmaacy2] example_inputs[2]: TensorMetadata(dtype=torch.float32, shape=torch.Size([8, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[hzvhfucpnupnxxil53uxdh7haq4lwvaik52c5wwd3wczqt5l6ca] example_inputs[3]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 20]), stride=(20, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[3e6tbf7u2wmu5eje4fdivbgqwbnxubaidgcd3bn44n77wab53an] example_inputs[4]: TensorMetadata(dtype=torch.float32, shape=torch.Size([20, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[55zuxhqsrqfcji7osepnqiryibkezi23xs6kdydsclq5zk74ib7] example_inputs[5]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] cache_key_tag: ", "[lmglpn4zi7vob56n34r2j2rk7flv5xfgrcvmo7xcpirqsitygqx] fx_kwargs[boxed_forward_device_index]: BoxedDeviceIndex(value=None)", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[cpp_wrapper]: False", "[xq2hdkbfkbcuye6rgtypayrkhqf4cntij2dsd24rei3lsknakkf] fx_kwargs[cudagraphs]: BoxedBool(value=False)", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[extern_node_serializer]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[is_backward]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] fx_kwargs[is_inference]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[layout_opt]: None", "[nnqi2dye4qdwjdgeujlxh7d67y2n67kat5ehf3472pn5avlyqbk] fx_kwargs[static_input_idxs]: [0, 1]", "[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inputs_to_check[0]: 2", "[kcuxe2zwm3mzv2uk6adm6iskoy35bqfv725twacrdewod2dbl5d] inputs_to_check[1]: 3", "[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inputs_to_check[2]: 4", "[qs5hilycp4ew4ivtc7m5jaxp7q4pm5slioxw3fi3ur6ei65ybz4] inputs_to_check[3]: 5", "[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)", "[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)", "[vyj2jqvww4jrcwoasotjls4lo7crzctaeqljjtzdjkevahnw6ru] torch_version: <bytes>", "[c3z7bmoxyo6gl5hi47v6dc7jwsl55b3asd75nr25uyengi5ah3p] system_info[device]: {'name': 'NVIDIA PG509-210'}", "[ztyieqowwpoqct6ve5253nsja2qhhbkqmfyya35aeo722rc4mjb] system_info[version]: {'triton': ('210b4baffea37cd227bfb7f26352cda04be8faf205caa23c5ed0e48a7df9b5d1', []), 'cuda': '12.4.0'}", "[tmkbatajbdkf4cer73zvafst5olsv34r2ckzsq2atr2nloepzrj] system_info[hash]: fc87786b2163ad7325b9b04ca24dd290e520b0071a82ba8219ef491aae8f36e3", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[TYPE_CHECKING]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_padding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[can_inplace_pad_graph_input]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[enable_auto_functionalized_v2]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_progress]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[verbose_progress]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[fx_graph_cache]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[fx_graph_remote_cache]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundle_triton_into_fx_graph_cache]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_local_cache]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[autotune_remote_cache]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundled_autotune_remote_cache]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_disable_caches]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[sleep_sec_TESTING_ONLY]: None", "[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[custom_op_default_layout_constraint]: needs_fixed_stride_order", "[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[triton_kernel_default_layout_constraint]: needs_fixed_stride_order", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_wrapper]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp_cache_precompile_headers]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[online_softmax]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[dce]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[static_weight_shapes]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[size_asserts]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[nan_asserts]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[scalar_asserts]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pick_loop_orders]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_buffers]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[allow_buffer_reuse]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[memory_planning]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_fast_math]: False", "[x75won4jmsgeb63pcvwr2y4eteyzzdhmf5rv6xhjppie4hx2yu5] inductor_config[memory_pool]: intermediates", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_harness]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[epilogue_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[prologue_fusion]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[epilogue_fusion_first]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pattern_matcher]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[b2b_gemm_pass]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_pre_pass]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_post_pass]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[pre_grad_custom_pass]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_cat_fx_passes]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[efficient_conv_bn_eval_fx_passes]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_predispatch]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[group_fusion]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[batch_fusion]: True", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[pre_grad_fusion_options]: {}", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[post_grad_fusion_options]: {}", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_locality]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[dynamic_scale_rblock]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_fuse_int_mm_with_mul]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_mixed_mm]: True", "[zwmmbkdkarexuhbigurz5lfnhx64tht7fznecjkrvznh6rzivbv] inductor_config[fx_passes_numeric_check]: {'pre_grad': False, 'precision': 0.0001, 'num_iterations': 1, 'requires_optimizer': True}", "[v2td5s4lnsvyxvaevy4chx6kc5h3mm2axazbgwimqule5zrzao7] inductor_config[mixed_mm_choice]: heuristic", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[reorder_for_compute_comm_overlap]: False", "[ssupi7bu3rrhdpg2jyegzncu3kg3nnhklyliqvutaxgs7y7k3dx] inductor_config[reorder_for_compute_comm_overlap_passes]: ['reorder_compute_for_overlap', 'sink_waits', 'raise_comms']", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_peak_memory]: True", "[lxxtoqhcoepwfokeiibd575gnxo3uzwiv4hmpomlwkpzqz3qzsh] inductor_config[estimate_op_runtime]: default", "[yezuzjtg4h3jjur4jwtwiehbyixa7eonq4tqsqmwqve2lvvmrem] inductor_config[intra_node_bw]: 300", "[5fxczt3ciyxitdhizb7sfsgn7fhpczcqsngttnt5ot2wyctk7co] inductor_config[inter_node_bw]: 25", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_experimental_benchmarker]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_pointwise]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_gemm]: False", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[autotune_num_choices_displayed]: 10", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[graph_partition]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[force_same_precision]: True", "[2y7luesktjrque3nr7qtxnum2mkbeegzdrsvkm3rvdlhqboajhx] inductor_config[max_autotune_gemm_backends]: ATEN,TRITON,CPP", "[uqlsbif4zxd75vt522p52txyuguieipi2lwz5g5awt56lccqk7s] inductor_config[max_autotune_conv_backends]: ATEN,TRITON", "[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[max_autotune_gemm_search_space]: DEFAULT", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_fallback_to_aten]: True", "[wft6ljqsfr3x4m7fa5zuyb7cwknky4irrxz4bjr6uzr2yiopxqj] inductor_config[unbacked_symint_fallback]: 8192", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[search_autotune_cache]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[save_args]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_in_subproc]: False", "[iglov24t7x5ruci344aer2tm6nqshi4veuw4wxlssxtu46cx76m] inductor_config[max_autotune_subproc_result_timeout_seconds]: 60.0", "[bh33ranllcgilhgmgr3qvygzxjm6isq5iexnfm3zx6fnr2zwlp2] inductor_config[max_autotune_subproc_graceful_timeout_seconds]: 1.0", "[pwoh5aypf4fxbntdvwt67rppxorqos6xr3w7qzeun6kblbfg2ga] inductor_config[max_autotune_subproc_terminate_timeout_seconds]: 2.0", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_multi_device]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_tuning]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_check_all_directions]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[coordinate_descent_search_radius]: 1", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[autoheuristic_collect]: ", "[jwbrgxes7vjqumngs5hyj6gn5nytv2whnppnzngvaagfmawhkkd] inductor_config[autoheuristic_use]: mixed_mm", "[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[autoheuristic_log_path]: DEFAULT", "[4p2fdjlvxrcw7c7fvzm5huhtqxnro4kvkx56f7p5zyrxqkwooov] inductor_config[layout_opt_default]: 1", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[layout_optimization]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_layout_optimization]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[keep_output_stride]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[warn_mix_layout]: False", "[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inductor_config[realize_reads_threshold]: 4", "[rr5m5hsocoyodldz7vcvaizdwvm2rt34evmqdxvng7wz3tufvo6] inductor_config[realize_opcount_threshold]: 30", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[realize_acc_reads_threshold]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[fallback_random]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[implicit_fallbacks]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aggressive_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_fusion]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[enabled_metric_tables]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[loop_ordering_after_fusion]: False", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[score_fusion_memory_threshold]: 10", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_epilogue_fusion]: True", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[max_epilogue_benchmarked_choices]: 1", "[jykiys6ynafs3zdylwa5ggq6j655mxeh42d6mtdi22gffkrmiac] inductor_config[max_fusion_size]: 64", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[max_pointwise_cat_inputs]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_pointwise_cat]: False", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[unroll_reductions_threshold]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[comment_origin]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[conv_1x1_as_mm]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_reductions]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_kernel]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[constant_and_index_propagation]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[always_keep_tensor_constants]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[assert_indirect_indexing]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[compute_all_bounds]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernels]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_combo_kernel]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernels_autotune]: 1", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernel_allow_mixed_sizes]: 1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernel_foreach_dynamic_shapes]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[joint_graph_constant_folding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_index_asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[emulate_precision_casts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_nightly_or_source]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[developer_warnings]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[optimize_scatter_upon_const_tensor]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[add_pre_grad_passes]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[remove_pre_grad_passes]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[global_cache_dir]: None", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[kernel_name_max_ops]: 10", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[shape_padding]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[comprehensive_padding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_channels_last]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_padding_cpu]: True", "[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[padding_alignment_bytes]: 128", "[dnnw5ks3yxrp7mwvihb2hh4tqx35ye637xt33x64kw4fvz2nyzg] inductor_config[padding_stride_threshold]: 1024", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_outputs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bw_outputs_user_visible]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_shape_pad]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[permute_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profiler_mark_wrapper_call]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[generate_intermediate_hooks]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_ir_traceback]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[profile_bandwidth_regex]: ", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[profile_bandwidth_output]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth_with_do_bench_using_profiling]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[disable_cpp_codegen]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing_discard_parameters]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[decompose_mem_bound_mm]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_aligned_inputs]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_ignore_unsupported_triton_autotune_args]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[check_stack_no_cycles_TESTING_ONLY]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[enable_linear_binary_folding]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[annotate_training]: False", "[sz3im5ogc6asp7g4uqocnovype63tkdexzfrniv6hn2oank3biu] inductor_config[cpp.threads]: -1", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.no_redundant_loops]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.dynamic_threads]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.simdlen]: None", "[g7rrnbg5yonzux3cfj5ovre5lob3ayda7qcfpxjvtwmiz4uicii] inductor_config[cpp.min_chunk_size]: 4096", "[c7zj4qytmety6keurs3hsh5wn7foxp3dqx4kym2ucszzcb2ngrf] inductor_config[cpp.cxx]: (None, 'g++')", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_kernel_profile]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.weight_prepack]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_relu_bug_TESTING_ONLY]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_log1p_bug_TESTING_ONLY]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.vec_isa_ok]: None", "[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[cpp.descriptive_names]: original_aten", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[cpp.max_horizontal_fusion_size]: 16", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.fallback_scatter_reduce_sum]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_unsafe_math_opt_flag]: False", "[ijs44lspkinjvhcs7uff7n3noc53jvsp4yfljjh22mafhb7khxe] inductor_config[cpp.enable_floating_point_contract_flag]: off", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_tiling_heuristics]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_grouped_gemm_template]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cpp.gemm_max_k_slices]: 1", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_cache_blocking]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_thread_factors]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_loop_tail_vec]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_concat_linear]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraphs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_trees]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_skip_dynamic_graphs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.slow_path_cudagraph_asserts]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_trees_history_recording]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_support_input_mutation]: False", "[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[triton.cudagraph_unexpected_rerecord_limit]: 128", "[tuax46wac7rfv2trf5gcps6vleo3cq44lbnrdxtprvo3ljjaddj] inductor_config[triton.cudagraph_dynamic_shape_warn_limit]: 50", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraph_sync]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraphs_warmup]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.fast_path_cudagraph_asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_cudagraph_warmup]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_graph]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_kernel]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.dense_indexing]: False", "[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[triton.max_tiles]: 2", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.prefer_nd_tiling]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_pointwise]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_cublasLt]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.autotune_at_compile_time]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.tile_reductions]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_pointwise_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_reduction_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.unique_kernel_names]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.unique_user_kernel_names]: False", "[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[triton.descriptive_names]: original_aten", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.persistent_reductions]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cooperative_reductions]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cooperative_reductions]: False", "[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inductor_config[triton.multi_kernel]: 0", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.divisible_by_16]: True", "[fv6slhtedtydps5s5u2etitscliblzcidyitqf7krsv4e23fzk6] inductor_config[triton.min_split_scan_rblock]: 256", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.store_cubin]: False", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[triton.spill_threshold]: 16", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.use_block_ptr]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.inject_relu_bug_TESTING_ONLY]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.codegen_upcast_to_fp32]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.enable_persistent_tma_matmul]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_l1_cache]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.disallow_failing_autotune_kernels_TESTING_ONLY]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.output_path]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.debug_compile]: False", "[6fxyf5ymh244xdypwkhtsbszab4nnfsgmul2kmyqmw422i5h54e] inductor_config[aot_inductor.compile_wrapper_opt_level]: O1", "[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[aot_inductor.debug_intermediate_value_printer]: 0", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[aot_inductor.filtered_kernel_names]: None", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_in_spec]: ", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_out_spec]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_runtime_constant_folding]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.force_mmap_weights]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package_cpp_only]: False", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.metadata]: {}", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.raise_error_on_ignored_optimization]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.dump_aoti_minifier]: False", "[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[aot_inductor.repro_level]: 2", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.presets]: {}", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.allow_stack_allocation]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_minimal_arrayref_interface]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.package_constants_in_so]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.precompile_headers]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.arch]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.version]: None", "[tvyftmtdmezlejo2xllu7awzv4pzc4vm4fub4b3gpl5jptjkosi] inductor_config[cuda.compile_opt_level]: -O1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_cuda_lto]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_ptxas_info]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_debug_info]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.use_fast_math]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_max_profiling_configs]: None", "[xaicuyqjstadzph6cgvxowlzizkts6kzmfupsnbyaorxh37cppz] inductor_config[cuda.cutlass_max_profiling_swizzle_options]: [1, 2, 4]", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cuda_cxx]: None", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cuda.cutlass_backend_min_gemm_size]: 1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.generate_test_runner]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_allowlist_regex]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_denylist_regex]: None", "[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[cuda.cutlass_instantiation_level]: 0", "[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[rocm.arch]: []", "[3w3j4h2iiu3addwyb5alaeecz3so7teb23hp4d5n3b46w5n73ur] inductor_config[rocm.ck_supported_arch]: ['gfx90a', 'gfx942']", "[klfqjprnpfhcdurgvuikvc4rpd5ynkpk77toousr5h3u5roty6p] inductor_config[rocm.compile_opt_level]: -O2", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.is_debug]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.save_temps]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.use_fast_math]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.flush_denormals]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.print_kernel_resource_usage]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.rocm_home]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.ck_dir]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.generate_test_runner]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.n_max_profiling_configs]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.use_preselected_instances]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.kBatch_sweep]: None", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[rocm.split_k_threshold]: 16", "[bsvfcwwoczx2rlkdz2eta6doujsymyihmi46hhwk6clrrvwcb6m] inductor_config[cpu_backend]: cpp", "[caw4ly2z672k6kjfahoxwpajp5idhhtrpgf3ma2clylcp7c7aid] inductor_config[cuda_backend]: triton", "[ljhgflgihidopsfsdcbqynv27nceykby3nutyd5jlcpq7n6e7l4] inductor_config[halide.cpu_target]: host", "[wx7vmsmrdpk5ue2txlywp3lj3faqmdjphs5fgg2ehzsyno7uovg] inductor_config[halide.gpu_target]: host-cuda", "[svgytlua5wcyeia7wq7e6zgh5tsueikrnzchmdmouvmkpfsc2zq] inductor_config[halide.scheduler_cuda]: Anderson2021", "[k5ogk6345jvklsnu7g2njqstiz2g6pm5wmqpgg3kasrmuqwjvl6] inductor_config[halide.scheduler_cpu]: Adams2019", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.debug]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.scan_kernels]: False", "[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[external_matmul]: []", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.force_extern_kernel_in_multi_template]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.max_mm_configs]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.runtime_triton_dtype_assert]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_name_regex]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_desc_regex]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.graphsafe_rng_func_ignores_fallback_random]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_pre_pass: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_post_pass: None"], "cache_event_time": 1742328619220348199, "cache_state": "miss", "triton_bundler_meta": "TritonBundlerMetadata(cached_kernel_names=['triton_poi_fused_addmm_relu_sigmoid_0', 'triton_poi_fused_mul_1', 'triton_poi_fused_mul_1', 'triton_poi_fused_addmm_gelu_2', 'triton_poi_fused_addmm_gelu_2'])", "time_taken_ns": 685751955, "compile_id": "0/0"}
V0318 13:10:21.926000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "4e859510500c2283e4775617945c6509"}
	{
	"name": "inductor_compile",
	"ts": 1742328621925386.2,
	"args": {
	"fn_name": "compile_fx_inner",
	"compile_id": "0/0",
	"is_backward": false,
	"cache_state": "miss",
	"cache_event_time": 1742328619141530820,
	"key": "ff7e22ju4pitb2q6iltemg2i722b5ovoz3r57bqtldmgcfrfubn5",
	"components": [
	"[q6emymqiih222avm4hnlisho3xczxr4xrphl2hdtmsk3rsdkc4c] gm: <lambda>()\n\n\n\ndef forward(self, arg0_1, arg1_1, arg2_1, arg3_1, arg4_1, arg5_1):\n    permute = torch.ops.aten.permute.default(arg0_1, [1, 0]);  arg0_1 = None\n    addmm = torch.ops.aten.addmm.default(arg1_1, arg2_1, permute);  arg1_1 = arg2_1 = permute = None\n    relu = torch.ops.aten.relu.default(addmm);  addmm = None\n    sigmoid = torch.ops.aten.sigmoid.default(relu);  relu = None\n    mul = torch.ops.aten.mul.Tensor(arg3_1, 3.14);  arg3_1 = None\n    addmm_1 = torch.ops.aten.addmm.default(arg5_1, mul, arg4_1);  arg5_1 = mul = arg4_1 = None\n    mul_1 = torch.ops.aten.mul.Tensor(addmm_1, 0.5)\n    mul_2 = torch.ops.aten.mul.Tensor(addmm_1, 0.7071067811865476);  addmm_1 = None\n    erf = torch.ops.aten.erf.default(mul_2);  mul_2 = None\n    add = torch.ops.aten.add.Tensor(erf, 1);  erf = None\n    mul_3 = torch.ops.aten.mul.Tensor(mul_1, add);  mul_1 = add = None\n    return (sigmoid, mul_3)\n    \n# To see more debug info, please use `graph_module.print_readable()`",
	"[hfmxfm6st3xlbvce5ue3cy3bhejpeiuytvk7ibwy6dc4k6oelf3] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=640, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[mddyexj2qoxouaugfa7ewxlmax7lrnjibw5wstpsaxqwedquenp] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16]), stride=(1,), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=64, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[yvy6aq6vwnl2wjel5wtqrtzjvckgfhc3nxfk7dqxuzualmaacy2] example_inputs[2]: TensorMetadata(dtype=torch.float32, shape=torch.Size([8, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[hzvhfucpnupnxxil53uxdh7haq4lwvaik52c5wwd3wczqt5l6ca] example_inputs[3]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 20]), stride=(20, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[3e6tbf7u2wmu5eje4fdivbgqwbnxubaidgcd3bn44n77wab53an] example_inputs[4]: TensorMetadata(dtype=torch.float32, shape=torch.Size([20, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[55zuxhqsrqfcji7osepnqiryibkezi23xs6kdydsclq5zk74ib7] example_inputs[5]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] cache_key_tag: ",
	"[lmglpn4zi7vob56n34r2j2rk7flv5xfgrcvmo7xcpirqsitygqx] fx_kwargs[boxed_forward_device_index]: BoxedDeviceIndex(value=None)",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[cpp_wrapper]: False",
	"[xq2hdkbfkbcuye6rgtypayrkhqf4cntij2dsd24rei3lsknakkf] fx_kwargs[cudagraphs]: BoxedBool(value=False)",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[extern_node_serializer]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] fx_kwargs[is_backward]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] fx_kwargs[is_inference]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] fx_kwargs[layout_opt]: None",
	"[nnqi2dye4qdwjdgeujlxh7d67y2n67kat5ehf3472pn5avlyqbk] fx_kwargs[static_input_idxs]: [0, 1]",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inputs_to_check[0]: 2",
	"[kcuxe2zwm3mzv2uk6adm6iskoy35bqfv725twacrdewod2dbl5d] inputs_to_check[1]: 3",
	"[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inputs_to_check[2]: 4",
	"[qs5hilycp4ew4ivtc7m5jaxp7q4pm5slioxw3fi3ur6ei65ybz4] inputs_to_check[3]: 5",
	"[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)",
	"[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)",
	"[vyj2jqvww4jrcwoasotjls4lo7crzctaeqljjtzdjkevahnw6ru] torch_version: <bytes>",
	"[c3z7bmoxyo6gl5hi47v6dc7jwsl55b3asd75nr25uyengi5ah3p] system_info[device]: {'name': 'NVIDIA PG509-210'}",
	"[ztyieqowwpoqct6ve5253nsja2qhhbkqmfyya35aeo722rc4mjb] system_info[version]: {'triton': ('210b4baffea37cd227bfb7f26352cda04be8faf205caa23c5ed0e48a7df9b5d1', []), 'cuda': '12.4.0'}",
	"[tmkbatajbdkf4cer73zvafst5olsv34r2ckzsq2atr2nloepzrj] system_info[hash]: fc87786b2163ad7325b9b04ca24dd290e520b0071a82ba8219ef491aae8f36e3",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[TYPE_CHECKING]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[can_inplace_pad_graph_input]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[enable_auto_functionalized_v2]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_progress]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[verbose_progress]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[fx_graph_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[fx_graph_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundle_triton_into_fx_graph_cache]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_local_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[autotune_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundled_autotune_remote_cache]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_disable_caches]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[sleep_sec_TESTING_ONLY]: None",
	"[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[custom_op_default_layout_constraint]: needs_fixed_stride_order",
	"[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[triton_kernel_default_layout_constraint]: needs_fixed_stride_order",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_wrapper]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp_cache_precompile_headers]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[online_softmax]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[dce]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[static_weight_shapes]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[size_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[nan_asserts]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[scalar_asserts]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pick_loop_orders]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_buffers]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[allow_buffer_reuse]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[memory_planning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_fast_math]: False",
	"[x75won4jmsgeb63pcvwr2y4eteyzzdhmf5rv6xhjppie4hx2yu5] inductor_config[memory_pool]: intermediates",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_harness]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[epilogue_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[prologue_fusion]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[epilogue_fusion_first]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pattern_matcher]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[b2b_gemm_pass]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_pre_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_post_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[pre_grad_custom_pass]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_cat_fx_passes]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[efficient_conv_bn_eval_fx_passes]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_predispatch]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[group_fusion]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[batch_fusion]: True",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[pre_grad_fusion_options]: {}",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[post_grad_fusion_options]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_locality]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[dynamic_scale_rblock]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_fuse_int_mm_with_mul]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_mixed_mm]: True",
	"[zwmmbkdkarexuhbigurz5lfnhx64tht7fznecjkrvznh6rzivbv] inductor_config[fx_passes_numeric_check]: {'pre_grad': False, 'precision': 0.0001, 'num_iterations': 1, 'requires_optimizer': True}",
	"[v2td5s4lnsvyxvaevy4chx6kc5h3mm2axazbgwimqule5zrzao7] inductor_config[mixed_mm_choice]: heuristic",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[reorder_for_compute_comm_overlap]: False",
	"[ssupi7bu3rrhdpg2jyegzncu3kg3nnhklyliqvutaxgs7y7k3dx] inductor_config[reorder_for_compute_comm_overlap_passes]: ['reorder_compute_for_overlap', 'sink_waits', 'raise_comms']",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_peak_memory]: True",
	"[lxxtoqhcoepwfokeiibd575gnxo3uzwiv4hmpomlwkpzqz3qzsh] inductor_config[estimate_op_runtime]: default",
	"[yezuzjtg4h3jjur4jwtwiehbyixa7eonq4tqsqmwqve2lvvmrem] inductor_config[intra_node_bw]: 300",
	"[5fxczt3ciyxitdhizb7sfsgn7fhpczcqsngttnt5ot2wyctk7co] inductor_config[inter_node_bw]: 25",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_experimental_benchmarker]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_pointwise]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_gemm]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[autotune_num_choices_displayed]: 10",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[graph_partition]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[force_same_precision]: True",
	"[2y7luesktjrque3nr7qtxnum2mkbeegzdrsvkm3rvdlhqboajhx] inductor_config[max_autotune_gemm_backends]: ATEN,TRITON,CPP",
	"[uqlsbif4zxd75vt522p52txyuguieipi2lwz5g5awt56lccqk7s] inductor_config[max_autotune_conv_backends]: ATEN,TRITON",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[max_autotune_gemm_search_space]: DEFAULT",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_fallback_to_aten]: True",
	"[wft6ljqsfr3x4m7fa5zuyb7cwknky4irrxz4bjr6uzr2yiopxqj] inductor_config[unbacked_symint_fallback]: 8192",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[search_autotune_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[save_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_in_subproc]: False",
	"[iglov24t7x5ruci344aer2tm6nqshi4veuw4wxlssxtu46cx76m] inductor_config[max_autotune_subproc_result_timeout_seconds]: 60.0",
	"[bh33ranllcgilhgmgr3qvygzxjm6isq5iexnfm3zx6fnr2zwlp2] inductor_config[max_autotune_subproc_graceful_timeout_seconds]: 1.0",
	"[pwoh5aypf4fxbntdvwt67rppxorqos6xr3w7qzeun6kblbfg2ga] inductor_config[max_autotune_subproc_terminate_timeout_seconds]: 2.0",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_multi_device]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_tuning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_check_all_directions]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[coordinate_descent_search_radius]: 1",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[autoheuristic_collect]: ",
	"[jwbrgxes7vjqumngs5hyj6gn5nytv2whnppnzngvaagfmawhkkd] inductor_config[autoheuristic_use]: mixed_mm",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[autoheuristic_log_path]: DEFAULT",
	"[4p2fdjlvxrcw7c7fvzm5huhtqxnro4kvkx56f7p5zyrxqkwooov] inductor_config[layout_opt_default]: 1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[layout_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_layout_optimization]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[keep_output_stride]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[warn_mix_layout]: False",
	"[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inductor_config[realize_reads_threshold]: 4",
	"[rr5m5hsocoyodldz7vcvaizdwvm2rt34evmqdxvng7wz3tufvo6] inductor_config[realize_opcount_threshold]: 30",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[realize_acc_reads_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[fallback_random]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[implicit_fallbacks]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aggressive_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_fusion]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[enabled_metric_tables]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[loop_ordering_after_fusion]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[score_fusion_memory_threshold]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_epilogue_fusion]: True",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[max_epilogue_benchmarked_choices]: 1",
	"[jykiys6ynafs3zdylwa5ggq6j655mxeh42d6mtdi22gffkrmiac] inductor_config[max_fusion_size]: 64",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[max_pointwise_cat_inputs]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_pointwise_cat]: False",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[unroll_reductions_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[comment_origin]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[conv_1x1_as_mm]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_kernel]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[constant_and_index_propagation]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[always_keep_tensor_constants]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[assert_indirect_indexing]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[compute_all_bounds]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernels]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_combo_kernel]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernels_autotune]: 1",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernel_allow_mixed_sizes]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernel_foreach_dynamic_shapes]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[joint_graph_constant_folding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_index_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[emulate_precision_casts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_nightly_or_source]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[developer_warnings]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[optimize_scatter_upon_const_tensor]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[add_pre_grad_passes]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[remove_pre_grad_passes]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[global_cache_dir]: None",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[kernel_name_max_ops]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[shape_padding]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[comprehensive_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_channels_last]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_padding_cpu]: True",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[padding_alignment_bytes]: 128",
	"[dnnw5ks3yxrp7mwvihb2hh4tqx35ye637xt33x64kw4fvz2nyzg] inductor_config[padding_stride_threshold]: 1024",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_outputs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bw_outputs_user_visible]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_shape_pad]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[permute_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profiler_mark_wrapper_call]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[generate_intermediate_hooks]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_ir_traceback]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[profile_bandwidth_regex]: ",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[profile_bandwidth_output]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth_with_do_bench_using_profiling]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[disable_cpp_codegen]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing_discard_parameters]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[decompose_mem_bound_mm]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_aligned_inputs]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_ignore_unsupported_triton_autotune_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[check_stack_no_cycles_TESTING_ONLY]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[enable_linear_binary_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[annotate_training]: False",
	"[sz3im5ogc6asp7g4uqocnovype63tkdexzfrniv6hn2oank3biu] inductor_config[cpp.threads]: -1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.no_redundant_loops]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.dynamic_threads]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.simdlen]: None",
	"[g7rrnbg5yonzux3cfj5ovre5lob3ayda7qcfpxjvtwmiz4uicii] inductor_config[cpp.min_chunk_size]: 4096",
	"[c7zj4qytmety6keurs3hsh5wn7foxp3dqx4kym2ucszzcb2ngrf] inductor_config[cpp.cxx]: (None, 'g++')",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_kernel_profile]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.weight_prepack]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_relu_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_log1p_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.vec_isa_ok]: None",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[cpp.descriptive_names]: original_aten",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[cpp.max_horizontal_fusion_size]: 16",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.fallback_scatter_reduce_sum]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_unsafe_math_opt_flag]: False",
	"[ijs44lspkinjvhcs7uff7n3noc53jvsp4yfljjh22mafhb7khxe] inductor_config[cpp.enable_floating_point_contract_flag]: off",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_tiling_heuristics]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_grouped_gemm_template]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cpp.gemm_max_k_slices]: 1",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_cache_blocking]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_thread_factors]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_loop_tail_vec]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_concat_linear]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_trees]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_skip_dynamic_graphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.slow_path_cudagraph_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_trees_history_recording]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_support_input_mutation]: False",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[triton.cudagraph_unexpected_rerecord_limit]: 128",
	"[tuax46wac7rfv2trf5gcps6vleo3cq44lbnrdxtprvo3ljjaddj] inductor_config[triton.cudagraph_dynamic_shape_warn_limit]: 50",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraph_sync]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraphs_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.fast_path_cudagraph_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_cudagraph_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_graph]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_kernel]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.dense_indexing]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[triton.max_tiles]: 2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.prefer_nd_tiling]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_pointwise]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_cublasLt]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.autotune_at_compile_time]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.tile_reductions]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_pointwise_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_reduction_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.unique_kernel_names]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.unique_user_kernel_names]: False",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[triton.descriptive_names]: original_aten",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.persistent_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cooperative_reductions]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cooperative_reductions]: False",
	"[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inductor_config[triton.multi_kernel]: 0",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.divisible_by_16]: True",
	"[fv6slhtedtydps5s5u2etitscliblzcidyitqf7krsv4e23fzk6] inductor_config[triton.min_split_scan_rblock]: 256",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.store_cubin]: False",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[triton.spill_threshold]: 16",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.use_block_ptr]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.inject_relu_bug_TESTING_ONLY]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.codegen_upcast_to_fp32]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.enable_persistent_tma_matmul]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_l1_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.disallow_failing_autotune_kernels_TESTING_ONLY]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.output_path]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.debug_compile]: False",
	"[6fxyf5ymh244xdypwkhtsbszab4nnfsgmul2kmyqmw422i5h54e] inductor_config[aot_inductor.compile_wrapper_opt_level]: O1",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[aot_inductor.debug_intermediate_value_printer]: 0",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[aot_inductor.filtered_kernel_names]: None",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_in_spec]: ",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_out_spec]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_runtime_constant_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.force_mmap_weights]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package_cpp_only]: False",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.metadata]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.raise_error_on_ignored_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.dump_aoti_minifier]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[aot_inductor.repro_level]: 2",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.presets]: {}",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.allow_stack_allocation]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_minimal_arrayref_interface]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.package_constants_in_so]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.precompile_headers]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.arch]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.version]: None",
	"[tvyftmtdmezlejo2xllu7awzv4pzc4vm4fub4b3gpl5jptjkosi] inductor_config[cuda.compile_opt_level]: -O1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_cuda_lto]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_ptxas_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_debug_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.use_fast_math]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_max_profiling_configs]: None",
	"[xaicuyqjstadzph6cgvxowlzizkts6kzmfupsnbyaorxh37cppz] inductor_config[cuda.cutlass_max_profiling_swizzle_options]: [1, 2, 4]",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cuda_cxx]: None",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cuda.cutlass_backend_min_gemm_size]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_allowlist_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_denylist_regex]: None",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[cuda.cutlass_instantiation_level]: 0",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[rocm.arch]: []",
	"[3w3j4h2iiu3addwyb5alaeecz3so7teb23hp4d5n3b46w5n73ur] inductor_config[rocm.ck_supported_arch]: ['gfx90a', 'gfx942']",
	"[klfqjprnpfhcdurgvuikvc4rpd5ynkpk77toousr5h3u5roty6p] inductor_config[rocm.compile_opt_level]: -O2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.is_debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.save_temps]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.use_fast_math]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.flush_denormals]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.print_kernel_resource_usage]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.rocm_home]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.ck_dir]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.n_max_profiling_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.use_preselected_instances]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.kBatch_sweep]: None",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[rocm.split_k_threshold]: 16",
	"[bsvfcwwoczx2rlkdz2eta6doujsymyihmi46hhwk6clrrvwcb6m] inductor_config[cpu_backend]: cpp",
	"[caw4ly2z672k6kjfahoxwpajp5idhhtrpgf3ma2clylcp7c7aid] inductor_config[cuda_backend]: triton",
	"[ljhgflgihidopsfsdcbqynv27nceykby3nutyd5jlcpq7n6e7l4] inductor_config[halide.cpu_target]: host",
	"[wx7vmsmrdpk5ue2txlywp3lj3faqmdjphs5fgg2ehzsyno7uovg] inductor_config[halide.gpu_target]: host-cuda",
	"[svgytlua5wcyeia7wq7e6zgh5tsueikrnzchmdmouvmkpfsc2zq] inductor_config[halide.scheduler_cuda]: Anderson2021",
	"[k5ogk6345jvklsnu7g2njqstiz2g6pm5wmqpgg3kasrmuqwjvl6] inductor_config[halide.scheduler_cpu]: Adams2019",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.scan_kernels]: False",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[external_matmul]: []",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.force_extern_kernel_in_multi_template]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.max_mm_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.runtime_triton_dtype_assert]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_name_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_desc_regex]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.graphsafe_rng_func_ignores_fallback_random]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_pre_pass: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_post_pass: None"
	],
	"cache_bypass_reason": null,
	"remote_cache_enabled": true,
	"local_cache_enabled": true
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:21.929000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "e9f9e74161085681c08c6599192e59ac"}
	{
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	"cat": "dynamo_timed",
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V0318 13:10:23.547000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "3f31065c9caec3114bcc159490ce22dc"}
	{
	"name": "create_aot_dispatcher_function",
	"ts": 1742328623547507.8,
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	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:23.551000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1846] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "094f8e664fa42865b2204ef690a62d6f"}
	{
	"name": "autograd_cache_miss",
	"ts": 1742328617391531.0,
	"args": {
	"key": "a6fcgot5b2f4tmvxehxug7sdmorrzgp3mz3un5xdbwawad235j7x",
	"cache_state": "miss",
	"components": [
	"[kd47kyjl7auuzaciorx6bc3bgfr5vsozfs6tvnsryx7nm4niz4q] aot_config: (0, True, False, False, False, [DictGetItemSource(base=UnspecializedBuiltinNNModuleSource(base=UnspecializedParamBufferSource(base=DictGetItemSource(base=UnspecializedNNModuleSource(base=AttrSource(base=LocalSource(local_name='self', is_input=True, dynamism=None, is_derefed_cell_contents=False), member='_modules')), index='fc1'), member='_parameters')), index='weight'), DictGetItemSource(base=UnspecializedBuiltinNNModuleSource(base=UnspecializedParamBufferSource(base=DictGetItemSource(base=UnspecializedNNModuleSource(base=AttrSource(base=LocalSource(local_name='self', is_input=True, dynamism=None, is_derefed_cell_contents=False), member='_modules')), index='fc1'), member='_parameters')), index='bias'), LocalSource(local_name='x', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='a', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='b', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='c', is_input=True, dynamism=None, is_derefed_cell_contents=False)], True, False)",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] grad_enabled: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] disable_amp: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] deterministic_algorithms: False",
	"[z4em6fcpwbzpeujkses2mzts64owcqrrhlyjiuuvpxp6xgtzgby] autograd_config: <bytes>",
	"[ejfuklv7wpyl4hfvgwe3sgco2lxauiqzjuqnp7nabuqljjgmbh7] gm: GraphModule()\n\n\n\ndef forward(self, L_self_modules_fc1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_fc1_parameters_bias_ : torch.nn.parameter.Parameter, L_x_ : torch.Tensor, L_a_ : torch.Tensor, L_b_ : torch.Tensor, L_c_ : torch.Tensor):\n    l_self_modules_fc1_parameters_weight_ = L_self_modules_fc1_parameters_weight_\n    l_self_modules_fc1_parameters_bias_ = L_self_modules_fc1_parameters_bias_\n    l_x_ = L_x_\n    l_a_ = L_a_\n    l_b_ = L_b_\n    l_c_ = L_c_\n    x = torch._C._nn.linear(l_x_, l_self_modules_fc1_parameters_weight_, l_self_modules_fc1_parameters_bias_);  l_x_ = l_self_modules_fc1_parameters_weight_ = l_self_modules_fc1_parameters_bias_ = None\n    x_1 = torch.nn.functional.relu(x, inplace = False);  x = None\n    x_2 = torch.sigmoid(x_1);  x_1 = None\n    d = l_a_ * 3.14;  l_a_ = None\n    y = torch.addmm(l_c_, d, l_b_);  l_c_ = d = l_b_ = None\n    z = torch._C._nn.gelu(y);  y = None\n    return (x_2, z)\n    \n# To see more debug info, please use `graph_module.print_readable()`",
	"[oqnx5ypa7mxzdb4xo44buiac7v5iqw7qbq545ix6jbnh7snr4bj] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=True, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[sr7dgemtwlfafmynwzhgor4e5mww2xsz2qv23q5t4sfghjmx6xr] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16]), stride=(1,), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=True, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[yvy6aq6vwnl2wjel5wtqrtzjvckgfhc3nxfk7dqxuzualmaacy2] example_inputs[2]: TensorMetadata(dtype=torch.float32, shape=torch.Size([8, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[hzvhfucpnupnxxil53uxdh7haq4lwvaik52c5wwd3wczqt5l6ca] example_inputs[3]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 20]), stride=(20, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[3e6tbf7u2wmu5eje4fdivbgqwbnxubaidgcd3bn44n77wab53an] example_inputs[4]: TensorMetadata(dtype=torch.float32, shape=torch.Size([20, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[55zuxhqsrqfcji7osepnqiryibkezi23xs6kdydsclq5zk74ib7] example_inputs[5]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] cache_key_tag: ",
	"[xq2hdkbfkbcuye6rgtypayrkhqf4cntij2dsd24rei3lsknakkf] fx_kwargs[cudagraphs]: BoxedBool(value=False)",
	"[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)",
	"[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)",
	"[vyj2jqvww4jrcwoasotjls4lo7crzctaeqljjtzdjkevahnw6ru] torch_version: <bytes>",
	"[c3z7bmoxyo6gl5hi47v6dc7jwsl55b3asd75nr25uyengi5ah3p] system_info[device]: {'name': 'NVIDIA PG509-210'}",
	"[ztyieqowwpoqct6ve5253nsja2qhhbkqmfyya35aeo722rc4mjb] system_info[version]: {'triton': ('210b4baffea37cd227bfb7f26352cda04be8faf205caa23c5ed0e48a7df9b5d1', []), 'cuda': '12.4.0'}",
	"[tmkbatajbdkf4cer73zvafst5olsv34r2ckzsq2atr2nloepzrj] system_info[hash]: fc87786b2163ad7325b9b04ca24dd290e520b0071a82ba8219ef491aae8f36e3",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[TYPE_CHECKING]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[can_inplace_pad_graph_input]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[enable_auto_functionalized_v2]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_progress]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[verbose_progress]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[fx_graph_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[fx_graph_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundle_triton_into_fx_graph_cache]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_local_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[autotune_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundled_autotune_remote_cache]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_disable_caches]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[sleep_sec_TESTING_ONLY]: None",
	"[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[custom_op_default_layout_constraint]: needs_fixed_stride_order",
	"[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[triton_kernel_default_layout_constraint]: needs_fixed_stride_order",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_wrapper]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp_cache_precompile_headers]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[online_softmax]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[dce]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[static_weight_shapes]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[size_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[nan_asserts]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[scalar_asserts]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pick_loop_orders]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_buffers]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[allow_buffer_reuse]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[memory_planning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_fast_math]: False",
	"[x75won4jmsgeb63pcvwr2y4eteyzzdhmf5rv6xhjppie4hx2yu5] inductor_config[memory_pool]: intermediates",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_harness]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[epilogue_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[prologue_fusion]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[epilogue_fusion_first]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pattern_matcher]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[b2b_gemm_pass]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_pre_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_post_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[pre_grad_custom_pass]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_cat_fx_passes]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[efficient_conv_bn_eval_fx_passes]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_predispatch]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[group_fusion]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[batch_fusion]: True",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[pre_grad_fusion_options]: {}",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[post_grad_fusion_options]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_locality]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[dynamic_scale_rblock]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_fuse_int_mm_with_mul]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_mixed_mm]: True",
	"[zwmmbkdkarexuhbigurz5lfnhx64tht7fznecjkrvznh6rzivbv] inductor_config[fx_passes_numeric_check]: {'pre_grad': False, 'precision': 0.0001, 'num_iterations': 1, 'requires_optimizer': True}",
	"[v2td5s4lnsvyxvaevy4chx6kc5h3mm2axazbgwimqule5zrzao7] inductor_config[mixed_mm_choice]: heuristic",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[reorder_for_compute_comm_overlap]: False",
	"[ssupi7bu3rrhdpg2jyegzncu3kg3nnhklyliqvutaxgs7y7k3dx] inductor_config[reorder_for_compute_comm_overlap_passes]: ['reorder_compute_for_overlap', 'sink_waits', 'raise_comms']",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_peak_memory]: True",
	"[lxxtoqhcoepwfokeiibd575gnxo3uzwiv4hmpomlwkpzqz3qzsh] inductor_config[estimate_op_runtime]: default",
	"[yezuzjtg4h3jjur4jwtwiehbyixa7eonq4tqsqmwqve2lvvmrem] inductor_config[intra_node_bw]: 300",
	"[5fxczt3ciyxitdhizb7sfsgn7fhpczcqsngttnt5ot2wyctk7co] inductor_config[inter_node_bw]: 25",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_experimental_benchmarker]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_pointwise]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_gemm]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[autotune_num_choices_displayed]: 10",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[graph_partition]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[force_same_precision]: True",
	"[2y7luesktjrque3nr7qtxnum2mkbeegzdrsvkm3rvdlhqboajhx] inductor_config[max_autotune_gemm_backends]: ATEN,TRITON,CPP",
	"[uqlsbif4zxd75vt522p52txyuguieipi2lwz5g5awt56lccqk7s] inductor_config[max_autotune_conv_backends]: ATEN,TRITON",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[max_autotune_gemm_search_space]: DEFAULT",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_fallback_to_aten]: True",
	"[wft6ljqsfr3x4m7fa5zuyb7cwknky4irrxz4bjr6uzr2yiopxqj] inductor_config[unbacked_symint_fallback]: 8192",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[search_autotune_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[save_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_in_subproc]: False",
	"[iglov24t7x5ruci344aer2tm6nqshi4veuw4wxlssxtu46cx76m] inductor_config[max_autotune_subproc_result_timeout_seconds]: 60.0",
	"[bh33ranllcgilhgmgr3qvygzxjm6isq5iexnfm3zx6fnr2zwlp2] inductor_config[max_autotune_subproc_graceful_timeout_seconds]: 1.0",
	"[pwoh5aypf4fxbntdvwt67rppxorqos6xr3w7qzeun6kblbfg2ga] inductor_config[max_autotune_subproc_terminate_timeout_seconds]: 2.0",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_multi_device]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_tuning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_check_all_directions]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[coordinate_descent_search_radius]: 1",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[autoheuristic_collect]: ",
	"[jwbrgxes7vjqumngs5hyj6gn5nytv2whnppnzngvaagfmawhkkd] inductor_config[autoheuristic_use]: mixed_mm",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[autoheuristic_log_path]: DEFAULT",
	"[4p2fdjlvxrcw7c7fvzm5huhtqxnro4kvkx56f7p5zyrxqkwooov] inductor_config[layout_opt_default]: 1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[layout_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_layout_optimization]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[keep_output_stride]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[warn_mix_layout]: False",
	"[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inductor_config[realize_reads_threshold]: 4",
	"[rr5m5hsocoyodldz7vcvaizdwvm2rt34evmqdxvng7wz3tufvo6] inductor_config[realize_opcount_threshold]: 30",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[realize_acc_reads_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[fallback_random]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[implicit_fallbacks]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aggressive_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_fusion]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[enabled_metric_tables]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[loop_ordering_after_fusion]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[score_fusion_memory_threshold]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_epilogue_fusion]: True",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[max_epilogue_benchmarked_choices]: 1",
	"[jykiys6ynafs3zdylwa5ggq6j655mxeh42d6mtdi22gffkrmiac] inductor_config[max_fusion_size]: 64",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[max_pointwise_cat_inputs]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_pointwise_cat]: False",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[unroll_reductions_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[comment_origin]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[conv_1x1_as_mm]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_kernel]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[constant_and_index_propagation]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[always_keep_tensor_constants]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[assert_indirect_indexing]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[compute_all_bounds]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernels]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_combo_kernel]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernels_autotune]: 1",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernel_allow_mixed_sizes]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernel_foreach_dynamic_shapes]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[joint_graph_constant_folding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_index_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[emulate_precision_casts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_nightly_or_source]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[developer_warnings]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[optimize_scatter_upon_const_tensor]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[add_pre_grad_passes]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[remove_pre_grad_passes]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[global_cache_dir]: None",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[kernel_name_max_ops]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[shape_padding]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[comprehensive_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_channels_last]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_padding_cpu]: True",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[padding_alignment_bytes]: 128",
	"[dnnw5ks3yxrp7mwvihb2hh4tqx35ye637xt33x64kw4fvz2nyzg] inductor_config[padding_stride_threshold]: 1024",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_outputs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bw_outputs_user_visible]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_shape_pad]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[permute_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profiler_mark_wrapper_call]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[generate_intermediate_hooks]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_ir_traceback]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[profile_bandwidth_regex]: ",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[profile_bandwidth_output]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth_with_do_bench_using_profiling]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[disable_cpp_codegen]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing_discard_parameters]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[decompose_mem_bound_mm]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_aligned_inputs]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_ignore_unsupported_triton_autotune_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[check_stack_no_cycles_TESTING_ONLY]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[enable_linear_binary_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[annotate_training]: False",
	"[sz3im5ogc6asp7g4uqocnovype63tkdexzfrniv6hn2oank3biu] inductor_config[cpp.threads]: -1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.no_redundant_loops]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.dynamic_threads]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.simdlen]: None",
	"[g7rrnbg5yonzux3cfj5ovre5lob3ayda7qcfpxjvtwmiz4uicii] inductor_config[cpp.min_chunk_size]: 4096",
	"[c7zj4qytmety6keurs3hsh5wn7foxp3dqx4kym2ucszzcb2ngrf] inductor_config[cpp.cxx]: (None, 'g++')",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_kernel_profile]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.weight_prepack]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_relu_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_log1p_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.vec_isa_ok]: None",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[cpp.descriptive_names]: original_aten",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[cpp.max_horizontal_fusion_size]: 16",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.fallback_scatter_reduce_sum]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_unsafe_math_opt_flag]: False",
	"[ijs44lspkinjvhcs7uff7n3noc53jvsp4yfljjh22mafhb7khxe] inductor_config[cpp.enable_floating_point_contract_flag]: off",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_tiling_heuristics]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_grouped_gemm_template]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cpp.gemm_max_k_slices]: 1",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_cache_blocking]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_thread_factors]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_loop_tail_vec]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_concat_linear]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_trees]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_skip_dynamic_graphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.slow_path_cudagraph_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_trees_history_recording]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_support_input_mutation]: False",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[triton.cudagraph_unexpected_rerecord_limit]: 128",
	"[tuax46wac7rfv2trf5gcps6vleo3cq44lbnrdxtprvo3ljjaddj] inductor_config[triton.cudagraph_dynamic_shape_warn_limit]: 50",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraph_sync]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraphs_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.fast_path_cudagraph_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_cudagraph_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_graph]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_kernel]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.dense_indexing]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[triton.max_tiles]: 2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.prefer_nd_tiling]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_pointwise]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_cublasLt]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.autotune_at_compile_time]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.tile_reductions]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_pointwise_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_reduction_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.unique_kernel_names]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.unique_user_kernel_names]: False",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[triton.descriptive_names]: original_aten",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.persistent_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cooperative_reductions]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cooperative_reductions]: False",
	"[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inductor_config[triton.multi_kernel]: 0",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.divisible_by_16]: True",
	"[fv6slhtedtydps5s5u2etitscliblzcidyitqf7krsv4e23fzk6] inductor_config[triton.min_split_scan_rblock]: 256",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.store_cubin]: False",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[triton.spill_threshold]: 16",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.use_block_ptr]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.inject_relu_bug_TESTING_ONLY]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.codegen_upcast_to_fp32]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.enable_persistent_tma_matmul]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_l1_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.disallow_failing_autotune_kernels_TESTING_ONLY]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.output_path]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.debug_compile]: False",
	"[6fxyf5ymh244xdypwkhtsbszab4nnfsgmul2kmyqmw422i5h54e] inductor_config[aot_inductor.compile_wrapper_opt_level]: O1",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[aot_inductor.debug_intermediate_value_printer]: 0",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[aot_inductor.filtered_kernel_names]: None",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_in_spec]: ",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_out_spec]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_runtime_constant_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.force_mmap_weights]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package_cpp_only]: False",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.metadata]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.raise_error_on_ignored_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.dump_aoti_minifier]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[aot_inductor.repro_level]: 2",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.presets]: {}",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.allow_stack_allocation]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_minimal_arrayref_interface]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.package_constants_in_so]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.precompile_headers]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.arch]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.version]: None",
	"[tvyftmtdmezlejo2xllu7awzv4pzc4vm4fub4b3gpl5jptjkosi] inductor_config[cuda.compile_opt_level]: -O1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_cuda_lto]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_ptxas_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_debug_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.use_fast_math]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_max_profiling_configs]: None",
	"[xaicuyqjstadzph6cgvxowlzizkts6kzmfupsnbyaorxh37cppz] inductor_config[cuda.cutlass_max_profiling_swizzle_options]: [1, 2, 4]",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cuda_cxx]: None",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cuda.cutlass_backend_min_gemm_size]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_allowlist_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_denylist_regex]: None",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[cuda.cutlass_instantiation_level]: 0",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[rocm.arch]: []",
	"[3w3j4h2iiu3addwyb5alaeecz3so7teb23hp4d5n3b46w5n73ur] inductor_config[rocm.ck_supported_arch]: ['gfx90a', 'gfx942']",
	"[klfqjprnpfhcdurgvuikvc4rpd5ynkpk77toousr5h3u5roty6p] inductor_config[rocm.compile_opt_level]: -O2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.is_debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.save_temps]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.use_fast_math]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.flush_denormals]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.print_kernel_resource_usage]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.rocm_home]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.ck_dir]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.n_max_profiling_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.use_preselected_instances]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.kBatch_sweep]: None",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[rocm.split_k_threshold]: 16",
	"[bsvfcwwoczx2rlkdz2eta6doujsymyihmi46hhwk6clrrvwcb6m] inductor_config[cpu_backend]: cpp",
	"[caw4ly2z672k6kjfahoxwpajp5idhhtrpgf3ma2clylcp7c7aid] inductor_config[cuda_backend]: triton",
	"[ljhgflgihidopsfsdcbqynv27nceykby3nutyd5jlcpq7n6e7l4] inductor_config[halide.cpu_target]: host",
	"[wx7vmsmrdpk5ue2txlywp3lj3faqmdjphs5fgg2ehzsyno7uovg] inductor_config[halide.gpu_target]: host-cuda",
	"[svgytlua5wcyeia7wq7e6zgh5tsueikrnzchmdmouvmkpfsc2zq] inductor_config[halide.scheduler_cuda]: Anderson2021",
	"[k5ogk6345jvklsnu7g2njqstiz2g6pm5wmqpgg3kasrmuqwjvl6] inductor_config[halide.scheduler_cpu]: Adams2019",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.scan_kernels]: False",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[external_matmul]: []",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.force_extern_kernel_in_multi_template]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.max_mm_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.runtime_triton_dtype_assert]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_name_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_desc_regex]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.graphsafe_rng_func_ignores_fallback_random]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_pre_pass: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_post_pass: None"
	],
	"compile_id": "0/0"
	},
	"ph": "i",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0,
	"s": "p"
	}
V0318 13:10:23.552000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_functorch/_aot_autograd/autograd_cache.py:800] {"artifact": {"name": "aotautograd_cache_miss", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "95c7426dfe22a3ec8ae3b832e149fab4"}
	{"key": "a6fcgot5b2f4tmvxehxug7sdmorrzgp3mz3un5xdbwawad235j7x", "cache_state": "miss", "components": ["[kd47kyjl7auuzaciorx6bc3bgfr5vsozfs6tvnsryx7nm4niz4q] aot_config: (0, True, False, False, False, [DictGetItemSource(base=UnspecializedBuiltinNNModuleSource(base=UnspecializedParamBufferSource(base=DictGetItemSource(base=UnspecializedNNModuleSource(base=AttrSource(base=LocalSource(local_name='self', is_input=True, dynamism=None, is_derefed_cell_contents=False), member='_modules')), index='fc1'), member='_parameters')), index='weight'), DictGetItemSource(base=UnspecializedBuiltinNNModuleSource(base=UnspecializedParamBufferSource(base=DictGetItemSource(base=UnspecializedNNModuleSource(base=AttrSource(base=LocalSource(local_name='self', is_input=True, dynamism=None, is_derefed_cell_contents=False), member='_modules')), index='fc1'), member='_parameters')), index='bias'), LocalSource(local_name='x', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='a', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='b', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='c', is_input=True, dynamism=None, is_derefed_cell_contents=False)], True, False)", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] grad_enabled: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] disable_amp: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] deterministic_algorithms: False", "[z4em6fcpwbzpeujkses2mzts64owcqrrhlyjiuuvpxp6xgtzgby] autograd_config: <bytes>", "[ejfuklv7wpyl4hfvgwe3sgco2lxauiqzjuqnp7nabuqljjgmbh7] gm: GraphModule()\n\n\n\ndef forward(self, L_self_modules_fc1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_fc1_parameters_bias_ : torch.nn.parameter.Parameter, L_x_ : torch.Tensor, L_a_ : torch.Tensor, L_b_ : torch.Tensor, L_c_ : torch.Tensor):\n    l_self_modules_fc1_parameters_weight_ = L_self_modules_fc1_parameters_weight_\n    l_self_modules_fc1_parameters_bias_ = L_self_modules_fc1_parameters_bias_\n    l_x_ = L_x_\n    l_a_ = L_a_\n    l_b_ = L_b_\n    l_c_ = L_c_\n    x = torch._C._nn.linear(l_x_, l_self_modules_fc1_parameters_weight_, l_self_modules_fc1_parameters_bias_);  l_x_ = l_self_modules_fc1_parameters_weight_ = l_self_modules_fc1_parameters_bias_ = None\n    x_1 = torch.nn.functional.relu(x, inplace = False);  x = None\n    x_2 = torch.sigmoid(x_1);  x_1 = None\n    d = l_a_ * 3.14;  l_a_ = None\n    y = torch.addmm(l_c_, d, l_b_);  l_c_ = d = l_b_ = None\n    z = torch._C._nn.gelu(y);  y = None\n    return (x_2, z)\n    \n# To see more debug info, please use `graph_module.print_readable()`", "[oqnx5ypa7mxzdb4xo44buiac7v5iqw7qbq545ix6jbnh7snr4bj] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=True, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[sr7dgemtwlfafmynwzhgor4e5mww2xsz2qv23q5t4sfghjmx6xr] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16]), stride=(1,), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=True, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[yvy6aq6vwnl2wjel5wtqrtzjvckgfhc3nxfk7dqxuzualmaacy2] example_inputs[2]: TensorMetadata(dtype=torch.float32, shape=torch.Size([8, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[hzvhfucpnupnxxil53uxdh7haq4lwvaik52c5wwd3wczqt5l6ca] example_inputs[3]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 20]), stride=(20, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[3e6tbf7u2wmu5eje4fdivbgqwbnxubaidgcd3bn44n77wab53an] example_inputs[4]: TensorMetadata(dtype=torch.float32, shape=torch.Size([20, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[55zuxhqsrqfcji7osepnqiryibkezi23xs6kdydsclq5zk74ib7] example_inputs[5]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] cache_key_tag: ", "[xq2hdkbfkbcuye6rgtypayrkhqf4cntij2dsd24rei3lsknakkf] fx_kwargs[cudagraphs]: BoxedBool(value=False)", "[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)", "[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)", "[vyj2jqvww4jrcwoasotjls4lo7crzctaeqljjtzdjkevahnw6ru] torch_version: <bytes>", "[c3z7bmoxyo6gl5hi47v6dc7jwsl55b3asd75nr25uyengi5ah3p] system_info[device]: {'name': 'NVIDIA PG509-210'}", "[ztyieqowwpoqct6ve5253nsja2qhhbkqmfyya35aeo722rc4mjb] system_info[version]: {'triton': ('210b4baffea37cd227bfb7f26352cda04be8faf205caa23c5ed0e48a7df9b5d1', []), 'cuda': '12.4.0'}", "[tmkbatajbdkf4cer73zvafst5olsv34r2ckzsq2atr2nloepzrj] system_info[hash]: fc87786b2163ad7325b9b04ca24dd290e520b0071a82ba8219ef491aae8f36e3", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[TYPE_CHECKING]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_padding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[can_inplace_pad_graph_input]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[enable_auto_functionalized_v2]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_progress]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[verbose_progress]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[fx_graph_cache]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[fx_graph_remote_cache]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundle_triton_into_fx_graph_cache]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_local_cache]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[autotune_remote_cache]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundled_autotune_remote_cache]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_disable_caches]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[sleep_sec_TESTING_ONLY]: None", "[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[custom_op_default_layout_constraint]: needs_fixed_stride_order", "[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[triton_kernel_default_layout_constraint]: needs_fixed_stride_order", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_wrapper]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp_cache_precompile_headers]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[online_softmax]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[dce]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[static_weight_shapes]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[size_asserts]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[nan_asserts]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[scalar_asserts]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pick_loop_orders]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_buffers]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[allow_buffer_reuse]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[memory_planning]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_fast_math]: False", "[x75won4jmsgeb63pcvwr2y4eteyzzdhmf5rv6xhjppie4hx2yu5] inductor_config[memory_pool]: intermediates", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_harness]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[epilogue_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[prologue_fusion]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[epilogue_fusion_first]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pattern_matcher]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[b2b_gemm_pass]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_pre_pass]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_post_pass]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[pre_grad_custom_pass]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_cat_fx_passes]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[efficient_conv_bn_eval_fx_passes]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_predispatch]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[group_fusion]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[batch_fusion]: True", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[pre_grad_fusion_options]: {}", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[post_grad_fusion_options]: {}", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_locality]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[dynamic_scale_rblock]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_fuse_int_mm_with_mul]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_mixed_mm]: True", "[zwmmbkdkarexuhbigurz5lfnhx64tht7fznecjkrvznh6rzivbv] inductor_config[fx_passes_numeric_check]: {'pre_grad': False, 'precision': 0.0001, 'num_iterations': 1, 'requires_optimizer': True}", "[v2td5s4lnsvyxvaevy4chx6kc5h3mm2axazbgwimqule5zrzao7] inductor_config[mixed_mm_choice]: heuristic", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[reorder_for_compute_comm_overlap]: False", "[ssupi7bu3rrhdpg2jyegzncu3kg3nnhklyliqvutaxgs7y7k3dx] inductor_config[reorder_for_compute_comm_overlap_passes]: ['reorder_compute_for_overlap', 'sink_waits', 'raise_comms']", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_peak_memory]: True", "[lxxtoqhcoepwfokeiibd575gnxo3uzwiv4hmpomlwkpzqz3qzsh] inductor_config[estimate_op_runtime]: default", "[yezuzjtg4h3jjur4jwtwiehbyixa7eonq4tqsqmwqve2lvvmrem] inductor_config[intra_node_bw]: 300", "[5fxczt3ciyxitdhizb7sfsgn7fhpczcqsngttnt5ot2wyctk7co] inductor_config[inter_node_bw]: 25", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_experimental_benchmarker]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_pointwise]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_gemm]: False", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[autotune_num_choices_displayed]: 10", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[graph_partition]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[force_same_precision]: True", "[2y7luesktjrque3nr7qtxnum2mkbeegzdrsvkm3rvdlhqboajhx] inductor_config[max_autotune_gemm_backends]: ATEN,TRITON,CPP", "[uqlsbif4zxd75vt522p52txyuguieipi2lwz5g5awt56lccqk7s] inductor_config[max_autotune_conv_backends]: ATEN,TRITON", "[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[max_autotune_gemm_search_space]: DEFAULT", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_fallback_to_aten]: True", "[wft6ljqsfr3x4m7fa5zuyb7cwknky4irrxz4bjr6uzr2yiopxqj] inductor_config[unbacked_symint_fallback]: 8192", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[search_autotune_cache]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[save_args]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_in_subproc]: False", "[iglov24t7x5ruci344aer2tm6nqshi4veuw4wxlssxtu46cx76m] inductor_config[max_autotune_subproc_result_timeout_seconds]: 60.0", "[bh33ranllcgilhgmgr3qvygzxjm6isq5iexnfm3zx6fnr2zwlp2] inductor_config[max_autotune_subproc_graceful_timeout_seconds]: 1.0", "[pwoh5aypf4fxbntdvwt67rppxorqos6xr3w7qzeun6kblbfg2ga] inductor_config[max_autotune_subproc_terminate_timeout_seconds]: 2.0", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_multi_device]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_tuning]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_check_all_directions]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[coordinate_descent_search_radius]: 1", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[autoheuristic_collect]: ", "[jwbrgxes7vjqumngs5hyj6gn5nytv2whnppnzngvaagfmawhkkd] inductor_config[autoheuristic_use]: mixed_mm", "[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[autoheuristic_log_path]: DEFAULT", "[4p2fdjlvxrcw7c7fvzm5huhtqxnro4kvkx56f7p5zyrxqkwooov] inductor_config[layout_opt_default]: 1", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[layout_optimization]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_layout_optimization]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[keep_output_stride]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[warn_mix_layout]: False", "[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inductor_config[realize_reads_threshold]: 4", "[rr5m5hsocoyodldz7vcvaizdwvm2rt34evmqdxvng7wz3tufvo6] inductor_config[realize_opcount_threshold]: 30", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[realize_acc_reads_threshold]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[fallback_random]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[implicit_fallbacks]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aggressive_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_fusion]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[enabled_metric_tables]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[loop_ordering_after_fusion]: False", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[score_fusion_memory_threshold]: 10", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_epilogue_fusion]: True", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[max_epilogue_benchmarked_choices]: 1", "[jykiys6ynafs3zdylwa5ggq6j655mxeh42d6mtdi22gffkrmiac] inductor_config[max_fusion_size]: 64", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[max_pointwise_cat_inputs]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_pointwise_cat]: False", "[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[unroll_reductions_threshold]: 8", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[comment_origin]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[conv_1x1_as_mm]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_reductions]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_kernel]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[constant_and_index_propagation]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[always_keep_tensor_constants]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[assert_indirect_indexing]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[compute_all_bounds]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernels]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_combo_kernel]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernels_autotune]: 1", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernel_allow_mixed_sizes]: 1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernel_foreach_dynamic_shapes]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[joint_graph_constant_folding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_index_asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[emulate_precision_casts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_nightly_or_source]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[developer_warnings]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[optimize_scatter_upon_const_tensor]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[add_pre_grad_passes]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[remove_pre_grad_passes]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[global_cache_dir]: None", "[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[kernel_name_max_ops]: 10", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[shape_padding]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[comprehensive_padding]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_channels_last]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_padding_cpu]: True", "[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[padding_alignment_bytes]: 128", "[dnnw5ks3yxrp7mwvihb2hh4tqx35ye637xt33x64kw4fvz2nyzg] inductor_config[padding_stride_threshold]: 1024", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_outputs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bw_outputs_user_visible]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_shape_pad]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[permute_fusion]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profiler_mark_wrapper_call]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[generate_intermediate_hooks]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_ir_traceback]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[profile_bandwidth_regex]: ", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[profile_bandwidth_output]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth_with_do_bench_using_profiling]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[disable_cpp_codegen]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing_discard_parameters]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[decompose_mem_bound_mm]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_aligned_inputs]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_ignore_unsupported_triton_autotune_args]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[check_stack_no_cycles_TESTING_ONLY]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[enable_linear_binary_folding]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[annotate_training]: False", "[sz3im5ogc6asp7g4uqocnovype63tkdexzfrniv6hn2oank3biu] inductor_config[cpp.threads]: -1", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.no_redundant_loops]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.dynamic_threads]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.simdlen]: None", "[g7rrnbg5yonzux3cfj5ovre5lob3ayda7qcfpxjvtwmiz4uicii] inductor_config[cpp.min_chunk_size]: 4096", "[c7zj4qytmety6keurs3hsh5wn7foxp3dqx4kym2ucszzcb2ngrf] inductor_config[cpp.cxx]: (None, 'g++')", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_kernel_profile]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.weight_prepack]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_relu_bug_TESTING_ONLY]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_log1p_bug_TESTING_ONLY]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.vec_isa_ok]: None", "[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[cpp.descriptive_names]: original_aten", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[cpp.max_horizontal_fusion_size]: 16", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.fallback_scatter_reduce_sum]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_unsafe_math_opt_flag]: False", "[ijs44lspkinjvhcs7uff7n3noc53jvsp4yfljjh22mafhb7khxe] inductor_config[cpp.enable_floating_point_contract_flag]: off", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_tiling_heuristics]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_grouped_gemm_template]: False", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cpp.gemm_max_k_slices]: 1", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_cache_blocking]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_thread_factors]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_loop_tail_vec]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_concat_linear]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraphs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_trees]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_skip_dynamic_graphs]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.slow_path_cudagraph_asserts]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_trees_history_recording]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_support_input_mutation]: False", "[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[triton.cudagraph_unexpected_rerecord_limit]: 128", "[tuax46wac7rfv2trf5gcps6vleo3cq44lbnrdxtprvo3ljjaddj] inductor_config[triton.cudagraph_dynamic_shape_warn_limit]: 50", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraph_sync]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraphs_warmup]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.fast_path_cudagraph_asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_cudagraph_warmup]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_graph]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_kernel]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.dense_indexing]: False", "[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[triton.max_tiles]: 2", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.prefer_nd_tiling]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_pointwise]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_cublasLt]: True", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.autotune_at_compile_time]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.tile_reductions]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_pointwise_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_reduction_fusion]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.unique_kernel_names]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.unique_user_kernel_names]: False", "[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[triton.descriptive_names]: original_aten", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.persistent_reductions]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cooperative_reductions]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cooperative_reductions]: False", "[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inductor_config[triton.multi_kernel]: 0", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.divisible_by_16]: True", "[fv6slhtedtydps5s5u2etitscliblzcidyitqf7krsv4e23fzk6] inductor_config[triton.min_split_scan_rblock]: 256", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.store_cubin]: False", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[triton.spill_threshold]: 16", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.use_block_ptr]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.inject_relu_bug_TESTING_ONLY]: None", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.codegen_upcast_to_fp32]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.enable_persistent_tma_matmul]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_l1_cache]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.disallow_failing_autotune_kernels_TESTING_ONLY]: False", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.output_path]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.debug_compile]: False", "[6fxyf5ymh244xdypwkhtsbszab4nnfsgmul2kmyqmw422i5h54e] inductor_config[aot_inductor.compile_wrapper_opt_level]: O1", "[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[aot_inductor.debug_intermediate_value_printer]: 0", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[aot_inductor.filtered_kernel_names]: None", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_in_spec]: ", "[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_out_spec]: ", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_runtime_constant_folding]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.force_mmap_weights]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package_cpp_only]: False", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.metadata]: {}", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.raise_error_on_ignored_optimization]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.dump_aoti_minifier]: False", "[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[aot_inductor.repro_level]: 2", "[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.presets]: {}", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.allow_stack_allocation]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_minimal_arrayref_interface]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.package_constants_in_so]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.precompile_headers]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.arch]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.version]: None", "[tvyftmtdmezlejo2xllu7awzv4pzc4vm4fub4b3gpl5jptjkosi] inductor_config[cuda.compile_opt_level]: -O1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_cuda_lto]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_ptxas_info]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_debug_info]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.use_fast_math]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_max_profiling_configs]: None", "[xaicuyqjstadzph6cgvxowlzizkts6kzmfupsnbyaorxh37cppz] inductor_config[cuda.cutlass_max_profiling_swizzle_options]: [1, 2, 4]", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cuda_cxx]: None", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cuda.cutlass_backend_min_gemm_size]: 1", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.generate_test_runner]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_allowlist_regex]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_denylist_regex]: None", "[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[cuda.cutlass_instantiation_level]: 0", "[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[rocm.arch]: []", "[3w3j4h2iiu3addwyb5alaeecz3so7teb23hp4d5n3b46w5n73ur] inductor_config[rocm.ck_supported_arch]: ['gfx90a', 'gfx942']", "[klfqjprnpfhcdurgvuikvc4rpd5ynkpk77toousr5h3u5roty6p] inductor_config[rocm.compile_opt_level]: -O2", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.is_debug]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.save_temps]: False", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.use_fast_math]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.flush_denormals]: True", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.print_kernel_resource_usage]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.rocm_home]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.ck_dir]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.generate_test_runner]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.n_max_profiling_configs]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.use_preselected_instances]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.kBatch_sweep]: None", "[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[rocm.split_k_threshold]: 16", "[bsvfcwwoczx2rlkdz2eta6doujsymyihmi46hhwk6clrrvwcb6m] inductor_config[cpu_backend]: cpp", "[caw4ly2z672k6kjfahoxwpajp5idhhtrpgf3ma2clylcp7c7aid] inductor_config[cuda_backend]: triton", "[ljhgflgihidopsfsdcbqynv27nceykby3nutyd5jlcpq7n6e7l4] inductor_config[halide.cpu_target]: host", "[wx7vmsmrdpk5ue2txlywp3lj3faqmdjphs5fgg2ehzsyno7uovg] inductor_config[halide.gpu_target]: host-cuda", "[svgytlua5wcyeia7wq7e6zgh5tsueikrnzchmdmouvmkpfsc2zq] inductor_config[halide.scheduler_cuda]: Anderson2021", "[k5ogk6345jvklsnu7g2njqstiz2g6pm5wmqpgg3kasrmuqwjvl6] inductor_config[halide.scheduler_cpu]: Adams2019", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.asserts]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.debug]: False", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.scan_kernels]: False", "[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[external_matmul]: []", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.force_extern_kernel_in_multi_template]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.max_mm_configs]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.runtime_triton_dtype_assert]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_name_regex]: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_desc_regex]: None", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.graphsafe_rng_func_ignores_fallback_random]: False", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_pre_pass: None", "[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_post_pass: None"], "compile_id": "0/0"}
V0318 13:10:23.555000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "8a8f074de4e2e2650e00750309afa300"}
	{
	"name": "backend_compile",
	"ts": 1742328623554720.2,
	"args": {
	"fn_name": "OutputGraph.call_user_compiler",
	"compile_id": "0/0",
	"requires_subclass_dispatch": false,
	"dispatch_mode": "inference",
	"cache_state": "miss",
	"cache_event_time": 1742328617391530945,
	"key": "a6fcgot5b2f4tmvxehxug7sdmorrzgp3mz3un5xdbwawad235j7x",
	"components": [
	"[kd47kyjl7auuzaciorx6bc3bgfr5vsozfs6tvnsryx7nm4niz4q] aot_config: (0, True, False, False, False, [DictGetItemSource(base=UnspecializedBuiltinNNModuleSource(base=UnspecializedParamBufferSource(base=DictGetItemSource(base=UnspecializedNNModuleSource(base=AttrSource(base=LocalSource(local_name='self', is_input=True, dynamism=None, is_derefed_cell_contents=False), member='_modules')), index='fc1'), member='_parameters')), index='weight'), DictGetItemSource(base=UnspecializedBuiltinNNModuleSource(base=UnspecializedParamBufferSource(base=DictGetItemSource(base=UnspecializedNNModuleSource(base=AttrSource(base=LocalSource(local_name='self', is_input=True, dynamism=None, is_derefed_cell_contents=False), member='_modules')), index='fc1'), member='_parameters')), index='bias'), LocalSource(local_name='x', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='a', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='b', is_input=True, dynamism=None, is_derefed_cell_contents=False), LocalSource(local_name='c', is_input=True, dynamism=None, is_derefed_cell_contents=False)], True, False)",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] grad_enabled: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] disable_amp: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] deterministic_algorithms: False",
	"[z4em6fcpwbzpeujkses2mzts64owcqrrhlyjiuuvpxp6xgtzgby] autograd_config: <bytes>",
	"[ejfuklv7wpyl4hfvgwe3sgco2lxauiqzjuqnp7nabuqljjgmbh7] gm: GraphModule()\n\n\n\ndef forward(self, L_self_modules_fc1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_fc1_parameters_bias_ : torch.nn.parameter.Parameter, L_x_ : torch.Tensor, L_a_ : torch.Tensor, L_b_ : torch.Tensor, L_c_ : torch.Tensor):\n    l_self_modules_fc1_parameters_weight_ = L_self_modules_fc1_parameters_weight_\n    l_self_modules_fc1_parameters_bias_ = L_self_modules_fc1_parameters_bias_\n    l_x_ = L_x_\n    l_a_ = L_a_\n    l_b_ = L_b_\n    l_c_ = L_c_\n    x = torch._C._nn.linear(l_x_, l_self_modules_fc1_parameters_weight_, l_self_modules_fc1_parameters_bias_);  l_x_ = l_self_modules_fc1_parameters_weight_ = l_self_modules_fc1_parameters_bias_ = None\n    x_1 = torch.nn.functional.relu(x, inplace = False);  x = None\n    x_2 = torch.sigmoid(x_1);  x_1 = None\n    d = l_a_ * 3.14;  l_a_ = None\n    y = torch.addmm(l_c_, d, l_b_);  l_c_ = d = l_b_ = None\n    z = torch._C._nn.gelu(y);  y = None\n    return (x_2, z)\n    \n# To see more debug info, please use `graph_module.print_readable()`",
	"[oqnx5ypa7mxzdb4xo44buiac7v5iqw7qbq545ix6jbnh7snr4bj] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=True, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[sr7dgemtwlfafmynwzhgor4e5mww2xsz2qv23q5t4sfghjmx6xr] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([16]), stride=(1,), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=True, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[yvy6aq6vwnl2wjel5wtqrtzjvckgfhc3nxfk7dqxuzualmaacy2] example_inputs[2]: TensorMetadata(dtype=torch.float32, shape=torch.Size([8, 10]), stride=(10, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[hzvhfucpnupnxxil53uxdh7haq4lwvaik52c5wwd3wczqt5l6ca] example_inputs[3]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 20]), stride=(20, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[3e6tbf7u2wmu5eje4fdivbgqwbnxubaidgcd3bn44n77wab53an] example_inputs[4]: TensorMetadata(dtype=torch.float32, shape=torch.Size([20, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[55zuxhqsrqfcji7osepnqiryibkezi23xs6kdydsclq5zk74ib7] example_inputs[5]: TensorMetadata(dtype=torch.float32, shape=torch.Size([10, 30]), stride=(30, 1), device=device(type='cuda', index=0), layout=torch.strided, memory_format=torch.contiguous_format, storage_offset=0, storage_bytes=None, requires_grad=False, is_quantized=False, is_conj=False, is_neg=False, is_inference=False, is_sparse=False, is_coalesced=None, dense_dim=None, sparse_dim=None)",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] cache_key_tag: ",
	"[xq2hdkbfkbcuye6rgtypayrkhqf4cntij2dsd24rei3lsknakkf] fx_kwargs[cudagraphs]: BoxedBool(value=False)",
	"[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)",
	"[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)",
	"[vyj2jqvww4jrcwoasotjls4lo7crzctaeqljjtzdjkevahnw6ru] torch_version: <bytes>",
	"[c3z7bmoxyo6gl5hi47v6dc7jwsl55b3asd75nr25uyengi5ah3p] system_info[device]: {'name': 'NVIDIA PG509-210'}",
	"[ztyieqowwpoqct6ve5253nsja2qhhbkqmfyya35aeo722rc4mjb] system_info[version]: {'triton': ('210b4baffea37cd227bfb7f26352cda04be8faf205caa23c5ed0e48a7df9b5d1', []), 'cuda': '12.4.0'}",
	"[tmkbatajbdkf4cer73zvafst5olsv34r2ckzsq2atr2nloepzrj] system_info[hash]: fc87786b2163ad7325b9b04ca24dd290e520b0071a82ba8219ef491aae8f36e3",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[TYPE_CHECKING]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[can_inplace_pad_graph_input]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[enable_auto_functionalized_v2]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_progress]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[verbose_progress]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[fx_graph_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[fx_graph_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundle_triton_into_fx_graph_cache]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_local_cache]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[autotune_remote_cache]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[bundled_autotune_remote_cache]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_disable_caches]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[sleep_sec_TESTING_ONLY]: None",
	"[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[custom_op_default_layout_constraint]: needs_fixed_stride_order",
	"[pikr7bbcoixfzftsazp5ggufhdklj24babfry77bl4nuvyrrcp4] inductor_config[triton_kernel_default_layout_constraint]: needs_fixed_stride_order",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp_wrapper]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp_cache_precompile_headers]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[online_softmax]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[dce]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[static_weight_shapes]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[size_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[nan_asserts]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[scalar_asserts]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pick_loop_orders]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[inplace_buffers]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[allow_buffer_reuse]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[memory_planning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_fast_math]: False",
	"[x75won4jmsgeb63pcvwr2y4eteyzzdhmf5rv6xhjppie4hx2yu5] inductor_config[memory_pool]: intermediates",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_harness]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[epilogue_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[prologue_fusion]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[epilogue_fusion_first]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[pattern_matcher]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[b2b_gemm_pass]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_pre_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[joint_custom_post_pass]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[pre_grad_custom_pass]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_cat_fx_passes]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[efficient_conv_bn_eval_fx_passes]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_predispatch]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[group_fusion]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[batch_fusion]: True",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[pre_grad_fusion_options]: {}",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[post_grad_fusion_options]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_locality]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[dynamic_scale_rblock]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_fuse_int_mm_with_mul]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_mixed_mm]: True",
	"[zwmmbkdkarexuhbigurz5lfnhx64tht7fznecjkrvznh6rzivbv] inductor_config[fx_passes_numeric_check]: {'pre_grad': False, 'precision': 0.0001, 'num_iterations': 1, 'requires_optimizer': True}",
	"[v2td5s4lnsvyxvaevy4chx6kc5h3mm2axazbgwimqule5zrzao7] inductor_config[mixed_mm_choice]: heuristic",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[reorder_for_compute_comm_overlap]: False",
	"[ssupi7bu3rrhdpg2jyegzncu3kg3nnhklyliqvutaxgs7y7k3dx] inductor_config[reorder_for_compute_comm_overlap_passes]: ['reorder_compute_for_overlap', 'sink_waits', 'raise_comms']",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[reorder_for_peak_memory]: True",
	"[lxxtoqhcoepwfokeiibd575gnxo3uzwiv4hmpomlwkpzqz3qzsh] inductor_config[estimate_op_runtime]: default",
	"[yezuzjtg4h3jjur4jwtwiehbyixa7eonq4tqsqmwqve2lvvmrem] inductor_config[intra_node_bw]: 300",
	"[5fxczt3ciyxitdhizb7sfsgn7fhpczcqsngttnt5ot2wyctk7co] inductor_config[inter_node_bw]: 25",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[use_experimental_benchmarker]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_pointwise]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[max_autotune_gemm]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[autotune_num_choices_displayed]: 10",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[graph_partition]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[force_same_precision]: True",
	"[2y7luesktjrque3nr7qtxnum2mkbeegzdrsvkm3rvdlhqboajhx] inductor_config[max_autotune_gemm_backends]: ATEN,TRITON,CPP",
	"[uqlsbif4zxd75vt522p52txyuguieipi2lwz5g5awt56lccqk7s] inductor_config[max_autotune_conv_backends]: ATEN,TRITON",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[max_autotune_gemm_search_space]: DEFAULT",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[autotune_fallback_to_aten]: True",
	"[wft6ljqsfr3x4m7fa5zuyb7cwknky4irrxz4bjr6uzr2yiopxqj] inductor_config[unbacked_symint_fallback]: 8192",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[search_autotune_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[save_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_in_subproc]: False",
	"[iglov24t7x5ruci344aer2tm6nqshi4veuw4wxlssxtu46cx76m] inductor_config[max_autotune_subproc_result_timeout_seconds]: 60.0",
	"[bh33ranllcgilhgmgr3qvygzxjm6isq5iexnfm3zx6fnr2zwlp2] inductor_config[max_autotune_subproc_graceful_timeout_seconds]: 1.0",
	"[pwoh5aypf4fxbntdvwt67rppxorqos6xr3w7qzeun6kblbfg2ga] inductor_config[max_autotune_subproc_terminate_timeout_seconds]: 2.0",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[autotune_multi_device]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_tuning]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[coordinate_descent_check_all_directions]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[coordinate_descent_search_radius]: 1",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[autoheuristic_collect]: ",
	"[jwbrgxes7vjqumngs5hyj6gn5nytv2whnppnzngvaagfmawhkkd] inductor_config[autoheuristic_use]: mixed_mm",
	"[jvchmi66fvqzlemhr5fcqorz5trfdtdalzfagtj2aolmimwqhdq] inductor_config[autoheuristic_log_path]: DEFAULT",
	"[4p2fdjlvxrcw7c7fvzm5huhtqxnro4kvkx56f7p5zyrxqkwooov] inductor_config[layout_opt_default]: 1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[layout_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_layout_optimization]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[keep_output_stride]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[warn_mix_layout]: False",
	"[lkkae3meylaixfif4thncru4hjqeaislawjoghffrbwuscaagei] inductor_config[realize_reads_threshold]: 4",
	"[rr5m5hsocoyodldz7vcvaizdwvm2rt34evmqdxvng7wz3tufvo6] inductor_config[realize_opcount_threshold]: 30",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[realize_acc_reads_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[fallback_random]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[implicit_fallbacks]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aggressive_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_fusion]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[enabled_metric_tables]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[loop_ordering_after_fusion]: False",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[score_fusion_memory_threshold]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[benchmark_epilogue_fusion]: True",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[max_epilogue_benchmarked_choices]: 1",
	"[jykiys6ynafs3zdylwa5ggq6j655mxeh42d6mtdi22gffkrmiac] inductor_config[max_fusion_size]: 64",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[max_pointwise_cat_inputs]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_pointwise_cat]: False",
	"[yttmfmxblgcbsvbokguzowcorrcxz5uunxtcvsbe6nijgcx45he] inductor_config[unroll_reductions_threshold]: 8",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[comment_origin]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[conv_1x1_as_mm]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[split_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_kernel]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[constant_and_index_propagation]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[always_keep_tensor_constants]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[assert_indirect_indexing]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[compute_all_bounds]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernels]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[benchmark_combo_kernel]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernels_autotune]: 1",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[combo_kernel_allow_mixed_sizes]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[combo_kernel_foreach_dynamic_shapes]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[joint_graph_constant_folding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_index_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[emulate_precision_casts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[is_nightly_or_source]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[developer_warnings]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[optimize_scatter_upon_const_tensor]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[add_pre_grad_passes]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[remove_pre_grad_passes]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[global_cache_dir]: None",
	"[j6c55jha5r2sdys2rwq7uqhtleea5dgjcye7nicfgft36v7xfvp] inductor_config[kernel_name_max_ops]: 10",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[shape_padding]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[comprehensive_padding]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_channels_last]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[disable_padding_cpu]: True",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[padding_alignment_bytes]: 128",
	"[dnnw5ks3yxrp7mwvihb2hh4tqx35ye637xt33x64kw4fvz2nyzg] inductor_config[padding_stride_threshold]: 1024",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[pad_outputs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bw_outputs_user_visible]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_shape_pad]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[permute_fusion]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profiler_mark_wrapper_call]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[generate_intermediate_hooks]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[debug_ir_traceback]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[profile_bandwidth_regex]: ",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[profile_bandwidth_output]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[profile_bandwidth_with_do_bench_using_profiling]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[disable_cpp_codegen]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[freezing_discard_parameters]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[decompose_mem_bound_mm]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[assume_aligned_inputs]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[unsafe_ignore_unsupported_triton_autotune_args]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[check_stack_no_cycles_TESTING_ONLY]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[enable_linear_binary_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[annotate_training]: False",
	"[sz3im5ogc6asp7g4uqocnovype63tkdexzfrniv6hn2oank3biu] inductor_config[cpp.threads]: -1",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.no_redundant_loops]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.dynamic_threads]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.simdlen]: None",
	"[g7rrnbg5yonzux3cfj5ovre5lob3ayda7qcfpxjvtwmiz4uicii] inductor_config[cpp.min_chunk_size]: 4096",
	"[c7zj4qytmety6keurs3hsh5wn7foxp3dqx4kym2ucszzcb2ngrf] inductor_config[cpp.cxx]: (None, 'g++')",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_kernel_profile]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.weight_prepack]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_relu_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.inject_log1p_bug_TESTING_ONLY]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.vec_isa_ok]: None",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[cpp.descriptive_names]: original_aten",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[cpp.max_horizontal_fusion_size]: 16",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.fallback_scatter_reduce_sum]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_unsafe_math_opt_flag]: False",
	"[ijs44lspkinjvhcs7uff7n3noc53jvsp4yfljjh22mafhb7khxe] inductor_config[cpp.enable_floating_point_contract_flag]: off",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_tiling_heuristics]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_grouped_gemm_template]: False",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cpp.gemm_max_k_slices]: 1",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_cache_blocking]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cpp.gemm_thread_factors]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[cpp.enable_loop_tail_vec]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cpp.enable_concat_linear]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_trees]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_skip_dynamic_graphs]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.slow_path_cudagraph_asserts]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_trees_history_recording]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cudagraph_support_input_mutation]: False",
	"[ljdqgtysl3vdf7j6attlz5gmjg2ncihnveojfyubosplmkrjgra] inductor_config[triton.cudagraph_unexpected_rerecord_limit]: 128",
	"[tuax46wac7rfv2trf5gcps6vleo3cq44lbnrdxtprvo3ljjaddj] inductor_config[triton.cudagraph_dynamic_shape_warn_limit]: 50",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraph_sync]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cudagraphs_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.fast_path_cudagraph_asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_cudagraph_warmup]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_graph]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.debug_sync_kernel]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.dense_indexing]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[triton.max_tiles]: 2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.prefer_nd_tiling]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_pointwise]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.autotune_cublasLt]: True",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.autotune_at_compile_time]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.tile_reductions]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_pointwise_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.tiling_prevents_reduction_fusion]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.unique_kernel_names]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.unique_user_kernel_names]: False",
	"[yrty22bseefglnysuoec4ji7j2rnaggdj3g33zzj7avogwfmgdw] inductor_config[triton.descriptive_names]: original_aten",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.persistent_reductions]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.cooperative_reductions]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.force_cooperative_reductions]: False",
	"[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inductor_config[triton.multi_kernel]: 0",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.divisible_by_16]: True",
	"[fv6slhtedtydps5s5u2etitscliblzcidyitqf7krsv4e23fzk6] inductor_config[triton.min_split_scan_rblock]: 256",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.store_cubin]: False",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[triton.spill_threshold]: 16",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.use_block_ptr]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[triton.inject_relu_bug_TESTING_ONLY]: None",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.codegen_upcast_to_fp32]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.enable_persistent_tma_matmul]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.skip_l1_cache]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[triton.disallow_failing_autotune_kernels_TESTING_ONLY]: False",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.output_path]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.debug_compile]: False",
	"[6fxyf5ymh244xdypwkhtsbszab4nnfsgmul2kmyqmw422i5h54e] inductor_config[aot_inductor.compile_wrapper_opt_level]: O1",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[aot_inductor.debug_intermediate_value_printer]: 0",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[aot_inductor.filtered_kernel_names]: None",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_in_spec]: ",
	"[v3hzzlv4tjgvp3pyhmzagjd25orl6n7nynoa7svlhhwk73b7u3c] inductor_config[aot_inductor.serialized_out_spec]: ",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_runtime_constant_folding]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.force_mmap_weights]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.package_cpp_only]: False",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.metadata]: {}",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.raise_error_on_ignored_optimization]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.dump_aoti_minifier]: False",
	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inductor_config[aot_inductor.repro_level]: 2",
	"[4bryyl4ahh5whyg3zwqebpwmjnx6w77nqgqbdjlowju6lkqtn7w] inductor_config[aot_inductor.presets]: {}",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.allow_stack_allocation]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.use_minimal_arrayref_interface]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[aot_inductor.package_constants_in_so]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.precompile_headers]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.arch]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.version]: None",
	"[tvyftmtdmezlejo2xllu7awzv4pzc4vm4fub4b3gpl5jptjkosi] inductor_config[cuda.compile_opt_level]: -O1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_cuda_lto]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_ptxas_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.enable_debug_info]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.use_fast_math]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_max_profiling_configs]: None",
	"[xaicuyqjstadzph6cgvxowlzizkts6kzmfupsnbyaorxh37cppz] inductor_config[cuda.cutlass_max_profiling_swizzle_options]: [1, 2, 4]",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cuda_cxx]: None",
	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inductor_config[cuda.cutlass_backend_min_gemm_size]: 1",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[cuda.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_allowlist_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[cuda.cutlass_op_denylist_regex]: None",
	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[cuda.cutlass_instantiation_level]: 0",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[rocm.arch]: []",
	"[3w3j4h2iiu3addwyb5alaeecz3so7teb23hp4d5n3b46w5n73ur] inductor_config[rocm.ck_supported_arch]: ['gfx90a', 'gfx942']",
	"[klfqjprnpfhcdurgvuikvc4rpd5ynkpk77toousr5h3u5roty6p] inductor_config[rocm.compile_opt_level]: -O2",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.is_debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.save_temps]: False",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.use_fast_math]: True",
	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[rocm.flush_denormals]: True",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.print_kernel_resource_usage]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.rocm_home]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.ck_dir]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.generate_test_runner]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.n_max_profiling_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[rocm.use_preselected_instances]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[rocm.kBatch_sweep]: None",
	"[ebt2ncs4f5y7dn7btzi76mnouepvzad474tmp5iju4wiuumjl4s] inductor_config[rocm.split_k_threshold]: 16",
	"[bsvfcwwoczx2rlkdz2eta6doujsymyihmi46hhwk6clrrvwcb6m] inductor_config[cpu_backend]: cpp",
	"[caw4ly2z672k6kjfahoxwpajp5idhhtrpgf3ma2clylcp7c7aid] inductor_config[cuda_backend]: triton",
	"[ljhgflgihidopsfsdcbqynv27nceykby3nutyd5jlcpq7n6e7l4] inductor_config[halide.cpu_target]: host",
	"[wx7vmsmrdpk5ue2txlywp3lj3faqmdjphs5fgg2ehzsyno7uovg] inductor_config[halide.gpu_target]: host-cuda",
	"[svgytlua5wcyeia7wq7e6zgh5tsueikrnzchmdmouvmkpfsc2zq] inductor_config[halide.scheduler_cuda]: Anderson2021",
	"[k5ogk6345jvklsnu7g2njqstiz2g6pm5wmqpgg3kasrmuqwjvl6] inductor_config[halide.scheduler_cpu]: Adams2019",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.asserts]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.debug]: False",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[halide.scan_kernels]: False",
	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] inductor_config[external_matmul]: []",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.force_extern_kernel_in_multi_template]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.max_mm_configs]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.runtime_triton_dtype_assert]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_name_regex]: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] inductor_config[test_configs.autotune_choice_desc_regex]: None",
	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[test_configs.graphsafe_rng_func_ignores_fallback_random]: False",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_pre_pass: None",
	"[tquy2we2efmowuj4wuqzcfcfdcrkzkzmwdae6hprj7fa64jpusq] post_grad_custom_post_pass: None"
	],
	"cache_bypass_reason": null,
	"remote_cache_enabled": true,
	"local_cache_enabled": true
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:23.572000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/guards.py:2570] {"dynamo_cpp_guards_str": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "5b1466e8c91bd51bf5de19366e17f01b"}
	
	TREE_GUARD_MANAGER:
	+- RootGuardManager
	| +- DEFAULT_DEVICE: utils_device.CURRENT_DEVICE == None                           # _dynamo/output_graph.py:520 in init_ambient_guards
	| +- GLOBAL_STATE: ___check_global_state()
	| +- TORCH_FUNCTION_MODE_STACK: ___check_torch_function_mode_stack()
	| +- GuardManager: source=L['a'], accessed_by=FrameLocalsGuardAccessor(key='a', framelocals_idx=2)
	| | +- TENSOR_MATCH: check_tensor(L['a'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float32, device=0, requires_grad=False, size=[10, 20], stride=[20, 1])
	| | +- NO_HASATTR: hasattr(L['a'], '_dynamo_dynamic_indices') == False         
	| | +- NO_TENSOR_ALIASING: check_no_aliasing(L['a'], L['b'], L['c'], L['x'])
	| +- GuardManager: source=L['b'], accessed_by=FrameLocalsGuardAccessor(key='b', framelocals_idx=3)
	| | +- TENSOR_MATCH: check_tensor(L['b'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float32, device=0, requires_grad=False, size=[20, 30], stride=[30, 1])
	| | +- NO_HASATTR: hasattr(L['b'], '_dynamo_dynamic_indices') == False         
	| | +- NO_TENSOR_ALIASING
	| +- GuardManager: source=L['c'], accessed_by=FrameLocalsGuardAccessor(key='c', framelocals_idx=4)
	| | +- TENSOR_MATCH: check_tensor(L['c'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float32, device=0, requires_grad=False, size=[10, 30], stride=[30, 1])
	| | +- NO_HASATTR: hasattr(L['c'], '_dynamo_dynamic_indices') == False         
	| | +- NO_TENSOR_ALIASING
	| +- GuardManager: source=L['x'], accessed_by=FrameLocalsGuardAccessor(key='x', framelocals_idx=1)
	| | +- TENSOR_MATCH: check_tensor(L['x'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float32, device=0, requires_grad=False, size=[8, 10], stride=[10, 1])
	| | +- NO_HASATTR: hasattr(L['x'], '_dynamo_dynamic_indices') == False         
	| | +- NO_TENSOR_ALIASING
	| +- GuardManager: source=L['self'], accessed_by=FrameLocalsGuardAccessor(key='self', framelocals_idx=0)
	| | +- TYPE_MATCH: ___check_type_id(L['self'], 139618521249808)                
	| | +- GuardManager: source=L['self'].__dict__, accessed_by=GetGenericDictGuardAccessor
	| | | +- GuardManager: source=L['self']._modules, accessed_by=DictGetItemGuardAccessor('_modules')
	| | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules, 139621548037128)       
	| | | | +- GuardManager: source=L['self']._modules['fc1'], accessed_by=DictGetItemGuardAccessor('fc1')
	| | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['fc1'], 139618069471248)
	| | | | | +- GuardManager: source=L['self']._modules['fc1'].__dict__, accessed_by=GetGenericDictGuardAccessor
	| | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['fc1'].__dict__)
	| | | | | | +- GuardManager: source=L['self']._modules['fc1']._parameters, accessed_by=DictGetItemGuardAccessor('_parameters')
	| | | | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['fc1']._parameters, 139621548037128)
	| | | | | | | +- GuardManager: source=L['self']._modules['fc1']._parameters['bias'], accessed_by=DictGetItemGuardAccessor('bias')
	| | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['fc1']._parameters['bias'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float32, device=0, requires_grad=True, size=[16], stride=[1])
	| | | | | | | +- GuardManager: source=L['self']._modules['fc1']._parameters['weight'], accessed_by=DictGetItemGuardAccessor('weight')
	| | | | | | | | +- TENSOR_MATCH: check_tensor(L['self']._modules['fc1']._parameters['weight'], Parameter, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float32, device=0, requires_grad=True, size=[16, 10], stride=[10, 1])
	| | | | +- GuardManager: source=L['self']._modules['relu'], accessed_by=DictGetItemGuardAccessor('relu')
	| | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['relu'], 139618070523920)
	| | | | | +- GuardManager: source=L['self']._modules['relu'].__dict__, accessed_by=GetGenericDictGuardAccessor
	| | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['relu'].__dict__)
	| | | | | | +- GuardManager: source=L['self']._modules['relu'].inplace, accessed_by=DictGetItemGuardAccessor('inplace')
	| | | | | | | +- FALSE_MATCH: L['self']._modules['relu'].inplace == False                 
	| | | | +- GuardManager: source=L['self']._modules['sigmoid'], accessed_by=DictGetItemGuardAccessor('sigmoid')
	| | | | | +- TYPE_MATCH: ___check_type_id(L['self']._modules['sigmoid'], 139618069431312)
	| | | | | +- GuardManager: source=L['self']._modules['sigmoid'].__dict__, accessed_by=GetGenericDictGuardAccessor
	| | | | | | +- DICT_CONTAINS: not ___dict_contains('forward', L['self']._modules['sigmoid'].__dict__)
	| | | +- GuardManager: source=L['self']._parameters, accessed_by=DictGetItemGuardAccessor('_parameters')
	| | | | +- TYPE_MATCH: ___check_type_id(L['self']._parameters, 139621548037128)    
	| +- GuardManager: source=G, accessed_by=GlobalsGuardAccessor
	| | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'], accessed_by=DictGetItemGuardAccessor('__import_torch_dot_nn_dot_modules_dot_linear')
	| | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'], 139618227282992)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F, accessed_by=GetAttrGuardAccessor(F)
	| | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F, 139618227285072)
	| | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].F
	| | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.nn.functional
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.gelu, accessed_by=GetAttrGuardAccessor(gelu)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.gelu, 139618340497072)
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.relu, accessed_by=GetAttrGuardAccessor(relu)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.relu, 139618067510416)
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_linear'].F.linear, accessed_by=GetAttrGuardAccessor(linear)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_linear'].F.linear, 139618340498192)
	| | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module'], accessed_by=DictGetItemGuardAccessor('__import_torch_dot_nn_dot_modules_dot_module')
	| | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_module'], 139618273908736)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks, accessed_by=GetAttrGuardAccessor(_global_forward_hooks)
	| | | | +- TYPE_MATCH: ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_hooks, 139621548097296)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks, accessed_by=GetAttrGuardAccessor(_global_backward_hooks)
	| | | | +- TYPE_MATCH: ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_hooks, 139621548097296)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks, accessed_by=GetAttrGuardAccessor(_global_forward_pre_hooks)
	| | | | +- TYPE_MATCH: ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_forward_pre_hooks, 139621548097296)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks, accessed_by=GetAttrGuardAccessor(_global_backward_pre_hooks)
	| | | | +- TYPE_MATCH: ___check_type_id(G['__import_torch_dot_nn_dot_modules_dot_module']._global_backward_pre_hooks, 139621548097296)
	| | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'], accessed_by=DictGetItemGuardAccessor('__import_torch_dot_nn_dot_modules_dot_activation')
	| | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'], 139618068116192)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].torch, accessed_by=GetAttrGuardAccessor(torch)
	| | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'].torch, 139619461123424)
	| | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_activation'].torch is G['torch']
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.nn, accessed_by=GetAttrGuardAccessor(nn)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.nn, 139618273851280)
	| | | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.nn.functional, accessed_by=GetAttrGuardAccessor(functional)
	| | | | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.nn.functional
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.addmm, accessed_by=GetAttrGuardAccessor(addmm)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.addmm, 139618431176432)
	| | | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.sigmoid, accessed_by=GetAttrGuardAccessor(sigmoid)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_torch_dot_nn_dot_modules_dot_activation'].torch.sigmoid, 139618431155264)
	| | | +- GuardManager: source=G['__import_torch_dot_nn_dot_modules_dot_activation'].F, accessed_by=GetAttrGuardAccessor(F)
	| | | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_linear'].F is G['__import_torch_dot_nn_dot_modules_dot_activation'].F
	| | +- GuardManager: source=G['torch'], accessed_by=DictGetItemGuardAccessor('torch')
	| | | +- OBJECT_ALIASING: G['__import_torch_dot_nn_dot_modules_dot_activation'].torch is G['torch']
	
	Guard latency = 4.95 us
V0318 13:10:23.574000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "062212147203cfc730c2f8b136dd8889"}
	{
	"name": "entire_frame_compile",
	"ts": 1742328623574301.8,
	"args": {
	"fn_name": "_compile.compile_inner",
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:23.575000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "24f22a853451abe194b80a3ddf28381e"}
	{
	"name": "gc",
	"ts": 1742328623575851.8,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:23.578000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1807] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "1793e032ffcae10d6f48478e24107c7a"}
	{
	"name": "gc",
	"ts": 1742328623578193.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0318 13:10:23.582000 3889376 /data/users/shangdiy/fbsource/fbcode/caffe2/torch/_dynamo/utils.py:1508] {"compilation_metrics": {"compile_id": "0/0", "frame_key": "1", "co_name": "forward", "co_filename": "/data/users/shangdiy/fbsource/buck-out/v2/gen/fbcode/8cf76b60692ad3ba/scripts/shangdiy/__aot__/aot#link-tree/scripts/shangdiy/aot.py", "co_firstlineno": 28, "cache_size": 0, "accumulated_cache_size": 0, "guard_count": 53, "shape_env_guard_count": 0, "graph_op_count": 6, "graph_node_count": 13, "graph_input_count": 6, "start_time": 1742328616.261779, "entire_frame_compile_time_s": 7.306778, "backend_compile_time_s": 7.178906, "inductor_compile_time_s": 2.78688, "code_gen_time_s": 0.36596, "fail_type": null, "fail_reason": null, "fail_user_frame_filename": null, "fail_user_frame_lineno": null, "non_compliant_ops": [], "compliant_custom_ops": [], "restart_reasons": [], "dynamo_time_before_restart_s": 0.0, "has_guarded_code": true, "remote_cache_time_saved_s": null, "structured_logging_overhead_s": 0.098101, "config_suppress_errors": false, "config_inline_inbuilt_nn_modules": true, "specialize_float": false, "dynamo_config": "{\"_autograd_backward_strict_mode_conditional_banned_ops\": [\"stride\", \"storage_offset\", \"is_contiguous\"], \"_unsafe_skip_fsdp_module_guards\": false, \"accumulated_recompile_limit\": 256, \"allow_complex_guards_as_runtime_asserts\": false, \"allow_empty_graphs\": false, \"allow_ignore_mark_dynamic\": false, \"allow_rnn\": false, \"allow_unspec_int_on_nn_module\": false, \"allowed_functions_module_string_ignorelist\": [\"torch._decomp\", \"torch._prims\", \"torch._refs\", \"torch.distributions\", \"torch.testing\"], \"assume_static_by_default\": true, \"automatic_dynamic_local_pgo\": true, \"automatic_dynamic_remote_pgo\": null, \"automatic_dynamic_shapes\": true, \"automatic_dynamic_shapes_mark_as\": \"dynamic\", \"capture_autograd_function\": true, \"capture_dynamic_output_shape_ops\": false, \"capture_func_transforms\": true, \"capture_scalar_outputs\": false, \"capture_sparse_compute\": false, \"compiled_autograd\": false, \"compiled_autograd_kwargs_override\": {}, \"cprofile\": false, \"cudagraph_backend_keep_input_mutation\": false, \"cudagraph_backend_support_input_mutation\": false, \"dead_code_elimination\": true, \"disable\": false, \"do_not_emit_runtime_asserts\": false, \"dynamic_shapes\": true, \"enable_compiler_collectives\": false, \"enable_cpp_framelocals_guard_eval\": true, \"enable_cpp_guard_manager\": true, \"enable_cpp_symbolic_shape_guards\": false, \"enable_faithful_generator_behavior\": true, \"enable_trace_contextlib\": true, \"error_on_nested_fx_trace\": true, \"error_on_nested_jit_trace\": true, \"error_on_recompile\": false, \"fail_on_recompile_limit_hit\": false, \"fake_tensor_cache_crosscheck_enabled\": false, \"fake_tensor_cache_enabled\": true, \"force_nn_module_property_static_shapes\": true, \"force_parameter_static_shapes\": true, \"force_unspec_int_unbacked_size_like_on_torchrec_kjt\": false, \"guard_nn_modules\": true, \"guard_nn_modules_using_dict_tags\": true, \"inline_inbuilt_nn_modules\": true, \"issue_3_13_0_warning\": true, \"minimum_call_count\": 1, \"numpy_default_complex\": \"complex128\", \"numpy_default_float\": \"float64\", \"numpy_default_int\": \"int64\", \"only_allow_pt2_compliant_ops\": false, \"optimize_ddp\": true, \"optimize_ddp_lazy_compile\": false, \"prefer_deferred_runtime_asserts_over_guards\": false, \"prepare_freezing\": false, \"raise_on_ctx_manager_usage\": true, \"raise_on_unsafe_aot_autograd\": false, \"recompile_limit\": 8, \"record_compile_time_instruction_count\": false, \"replay_record_enabled\": false, \"report_guard_failures\": true, \"rewrite_assert_with_torch_assert\": true, \"run_gc_after_compile\": true, \"skip_code_recursive_on_recompile_limit_hit\": true, \"skip_fsdp_guards\": true, \"skip_fsdp_hooks\": true, \"skip_nnmodule_hook_guards\": true, \"skip_no_tensor_aliasing_guards_on_parameters\": true, \"skip_tensor_guards_with_matching_dict_tags\": true, \"skip_torchrec\": true, \"skipfiles_inline_module_allowlist\": {}, \"specialize_float\": false, \"specialize_int\": false, \"suppress_errors\": false, \"trace_numpy\": true, \"track_nodes_for_deduplication\": false, \"use_graph_deduplication\": false, \"use_lazy_graph_module\": true, \"use_numpy_random_stream\": false, \"verify_correctness\": false}", "is_forward": true, "num_triton_bundles": null, "remote_fx_graph_cache_get_time_ms": 58, "remote_fx_graph_cache_put_time_ms": 2080, "start_time_us": 1742328616261779, "duration_us": 7317588, "dynamo_cumulative_compile_time_us": 7306778, "aot_autograd_cumulative_compile_time_us": 7178906, "inductor_cumulative_compile_time_us": 2786880, "inductor_code_gen_cumulative_compile_time_us": 365960, "triton_compile_time_us": 124625, "runtime_cudagraphify_time_us": null, "runtime_triton_autotune_time_us": null, 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