raw.log

V0618 13:04:01.454000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "c09224ffd6facd27c28f30eac85aacc1"}
	{
	"name": "dynamo",
	"ts": 1750251841454820.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:01.475000 25298 site-packages/torch/_logging/structured.py:27] {"str": ["/root/miniforge3/lib/python3.12/site-packages/torch/_dynamo/convert_frame.py", 0]}
V0618 13:04:01.481000 25298 site-packages/torch/_logging/structured.py:27] {"str": ["/shared_volume/repos/quark/bench_qdq.py", 1]}
V0618 13:04:01.481000 25298 site-packages/torch/_dynamo/convert_frame.py:1031] {"dynamo_start": {"stack": [{"line": 161, "name": "<module>", "filename": 1, "loc": "mean, median = do_bench(run_scaled_fake_quantize_comp, kwargs_scaled_fake_quantize, num_runs=num_runs, num_warmup=num_warmup, name=\"quark qdq\")"}, {"line": 70, "name": "do_bench", "filename": 1, "loc": "f(**kwargs)"}, {"line": 7, "name": "run_scaled_fake_quantize", "filename": 1}]}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0618 13:04:01.482000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "fb07272f10bc10708d154102a0df4340"}
	{
	"name": "entire_frame_compile",
	"ts": 1750251841482125.8,
	"args": {
	"fn_name": "_compile.compile_inner",
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:01.487000 25298 site-packages/torch/_subclasses/meta_utils.py:248] {"describe_storage": {"id": 0, "describer_id": 0, "size": 134217728}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0618 13:04:01.490000 25298 site-packages/torch/_subclasses/meta_utils.py:462] {"describe_tensor": {"id": 0, "ndim": 2, "dtype": "torch.float32", "device": "device(type='cuda', index=0)", "size": [4096, 8192], "is_leaf": true, "stride": [8192, 1], "storage": 0, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Tensor object at 0x7faab27737a0>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0618 13:04:01.490000 25298 site-packages/torch/_subclasses/meta_utils.py:1869] {"describe_source": {"describer_id": 0, "id": 0, "source": "L['w']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0618 13:04:01.492000 25298 site-packages/torch/_subclasses/meta_utils.py:248] {"describe_storage": {"id": 1, "describer_id": 0, "size": 16384}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0618 13:04:01.492000 25298 site-packages/torch/_subclasses/meta_utils.py:462] {"describe_tensor": {"id": 1, "ndim": 1, "dtype": "torch.float32", "device": "device(type='cuda', index=0)", "size": [4096], "is_leaf": true, "stride": [1], "storage": 1, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Tensor object at 0x7faab2773980>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0618 13:04:01.497000 25298 site-packages/torch/_subclasses/meta_utils.py:1869] {"describe_source": {"describer_id": 0, "id": 1, "source": "L['scale']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0618 13:04:01.499000 25298 site-packages/torch/_subclasses/meta_utils.py:248] {"describe_storage": {"id": 2, "describer_id": 0, "size": 16384}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0618 13:04:01.499000 25298 site-packages/torch/_subclasses/meta_utils.py:462] {"describe_tensor": {"id": 2, "ndim": 1, "dtype": "torch.int32", "device": "device(type='cuda', index=0)", "size": [4096], "is_leaf": true, "stride": [1], "storage": 2, "view_func": "_CustomViewFunc(func=<built-in method _view_func_unsafe of Tensor object at 0x7faab2773930>)", "describer_id": 0}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0618 13:04:01.499000 25298 site-packages/torch/_subclasses/meta_utils.py:1869] {"describe_source": {"describer_id": 0, "id": 2, "source": "L['zero_point']"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0}
V0618 13:04:01.550000 25298 site-packages/torch/_dynamo/output_graph.py:1414] {"dynamo_output_graph": {"sizes": {"l_w_": [4096, 8192], "l_scale_": [4096], "l_zero_point_": [4096], "scaled_fake_quantize": [4096, 8192]}}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "80fa6d861b1cb9a081e3751dd1d41149"}
	class GraphModule(torch.nn.Module):
	    def forward(self, L_w_: "f32[4096, 8192][8192, 1]cuda:0", L_scale_: "f32[4096][1]cuda:0", L_zero_point_: "i32[4096][1]cuda:0"):
	        l_w_ = L_w_
	        l_scale_ = L_scale_
	        l_zero_point_ = L_zero_point_
	        
	         # File: /shared_volume/repos/quark/bench_qdq.py:8 in run_scaled_fake_quantize, code: return scaled_fake_quantize(quant_dtype, w, scale, zero_point, axis, group_size, quant_min, quant_max, round_mode, qscheme, mx_element_dtype)
	        function_ctx = torch.autograd.function.FunctionCtx();  function_ctx = None
	        
	         # File: /shared_volume/repos/quark/quark/torch/kernel/__init__.py:168 in forward, code: return ops.quark.scaled_fake_quantize(quant_dtype, inputs, scale, zero_point, axis, group_size, quant_min,
	        scaled_fake_quantize: "f32[4096, 8192][8192, 1]cuda:0" = torch.ops.quark.scaled_fake_quantize('int4', l_w_, l_scale_, l_zero_point_, 0, 0, 0, 15, 0, 'per_channel', 'haha');  l_w_ = l_scale_ = l_zero_point_ = None
	        return (scaled_fake_quantize,)
	        
V0618 13:04:01.551000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "1acd1afa4809f818826b96c18ce9a468"}
	{
	"name": "backend_compile",
	"ts": 1750251841551173.2,
	"args": {
	"fn_name": "OutputGraph.call_user_compiler",
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:01.777000 25298 site-packages/torch/_inductor/compile_fx.py:1820] {"inductor_pre_grad_graph": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "f5e8ece7fea7892722437ad7f3a1f2ad"}
	class GraphModule(torch.nn.Module):
	    def forward(self, L_w_: "f32[4096, 8192][8192, 1]cuda:0", L_scale_: "f32[4096][1]cuda:0", L_zero_point_: "i32[4096][1]cuda:0"):
	        l_w_ = L_w_
	        l_scale_ = L_scale_
	        l_zero_point_ = L_zero_point_
	        
	         # File: /shared_volume/repos/quark/bench_qdq.py:8 in run_scaled_fake_quantize, code: return scaled_fake_quantize(quant_dtype, w, scale, zero_point, axis, group_size, quant_min, quant_max, round_mode, qscheme, mx_element_dtype)
	        function_ctx = torch.autograd.function.FunctionCtx();  function_ctx = None
	        
	         # File: /shared_volume/repos/quark/quark/torch/kernel/__init__.py:168 in forward, code: return ops.quark.scaled_fake_quantize(quant_dtype, inputs, scale, zero_point, axis, group_size, quant_min,
	        scaled_fake_quantize: "f32[4096, 8192][8192, 1]cuda:0" = torch.ops.quark.scaled_fake_quantize('int4', l_w_, l_scale_, l_zero_point_, 0, 0, 0, 15, 0, 'per_channel', 'haha');  l_w_ = l_scale_ = l_zero_point_ = None
	        return (scaled_fake_quantize,)
	        
	
	 # graph id: 140371115438448
V0618 13:04:01.778000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "8f73eb2de5f1c9ca20248cd37bdafc91"}
	{
	"name": "_recursive_pre_grad_passes",
	"ts": 1750251841778018.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:01.784000 25298 site-packages/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": "80fa6d861b1cb9a081e3751dd1d41149"}
	class GraphModule(torch.nn.Module):
	    def forward(self, L_w_: "f32[4096, 8192][8192, 1]cuda:0", L_scale_: "f32[4096][1]cuda:0", L_zero_point_: "i32[4096][1]cuda:0"):
	        l_w_ = L_w_
	        l_scale_ = L_scale_
	        l_zero_point_ = L_zero_point_
	        
	         # File: /shared_volume/repos/quark/bench_qdq.py:8 in run_scaled_fake_quantize, code: return scaled_fake_quantize(quant_dtype, w, scale, zero_point, axis, group_size, quant_min, quant_max, round_mode, qscheme, mx_element_dtype)
	        function_ctx = torch.autograd.function.FunctionCtx();  function_ctx = None
	        
	         # File: /shared_volume/repos/quark/quark/torch/kernel/__init__.py:168 in forward, code: return ops.quark.scaled_fake_quantize(quant_dtype, inputs, scale, zero_point, axis, group_size, quant_min,
	        scaled_fake_quantize: "f32[4096, 8192][8192, 1]cuda:0" = torch.ops.quark.scaled_fake_quantize('int4', l_w_, l_scale_, l_zero_point_, 0, 0, 0, 15, 0, 'per_channel', 'haha');  l_w_ = l_scale_ = l_zero_point_ = None
	        return (scaled_fake_quantize,)
	        
V0618 13:04:01.786000 25298 site-packages/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": "80fa6d861b1cb9a081e3751dd1d41149"}
	class GraphModule(torch.nn.Module):
	    def forward(self, L_w_: "f32[4096, 8192][8192, 1]cuda:0", L_scale_: "f32[4096][1]cuda:0", L_zero_point_: "i32[4096][1]cuda:0"):
	        l_w_ = L_w_
	        l_scale_ = L_scale_
	        l_zero_point_ = L_zero_point_
	        
	         # File: /shared_volume/repos/quark/bench_qdq.py:8 in run_scaled_fake_quantize, code: return scaled_fake_quantize(quant_dtype, w, scale, zero_point, axis, group_size, quant_min, quant_max, round_mode, qscheme, mx_element_dtype)
	        function_ctx = torch.autograd.function.FunctionCtx();  function_ctx = None
	        
	         # File: /shared_volume/repos/quark/quark/torch/kernel/__init__.py:168 in forward, code: return ops.quark.scaled_fake_quantize(quant_dtype, inputs, scale, zero_point, axis, group_size, quant_min,
	        scaled_fake_quantize: "f32[4096, 8192][8192, 1]cuda:0" = torch.ops.quark.scaled_fake_quantize('int4', l_w_, l_scale_, l_zero_point_, 0, 0, 0, 15, 0, 'per_channel', 'haha');  l_w_ = l_scale_ = l_zero_point_ = None
	        return (scaled_fake_quantize,)
	        
V0618 13:04:01.791000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "a7bed29b56ce5eb17e4c5d2a153bd2ce"}
	{
	"name": "_recursive_pre_grad_passes",
	"ts": 1750251841791426.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:01.793000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "af7268ee444c0e244e5ce8c9782ff733"}
	{
	"name": "create_aot_dispatcher_function",
	"ts": 1750251841793402.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:01.808000 25298 site-packages/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": "14f1981c2bbe4759009ea5a53ae9c6d9"}
	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=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)],
	                    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)],
	                    subclass_fw_graph_out_meta=[PlainTensorMeta(unwrapped_idx=0,	                                                               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=[],
	                    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)
V0618 13:04:01.808000 25298 site-packages/torch/_functorch/_aot_autograd/dispatch_and_compile_graph.py:232] {"aot_inference_graph": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "d8ae948014382e0e8b9001817db99a17"}
	class <lambda>(torch.nn.Module):
	    def forward(self, arg0_1: "f32[4096, 8192][8192, 1]cuda:0", arg1_1: "f32[4096][1]cuda:0", arg2_1: "i32[4096][1]cuda:0"):
	         # File: /shared_volume/repos/quark/quark/torch/kernel/__init__.py:168 in forward, code: return ops.quark.scaled_fake_quantize(quant_dtype, inputs, scale, zero_point, axis, group_size, quant_min,
	        scaled_fake_quantize: "f32[4096, 8192][8192, 1]cuda:0" = torch.ops.quark.scaled_fake_quantize.default('int4', arg0_1, arg1_1, arg2_1, 0, 0, 0.0, 15.0, 0, 'per_channel', 'haha');  arg0_1 = arg1_1 = arg2_1 = None
	        return (scaled_fake_quantize,)
	        
V0618 13:04:01.813000 25298 site-packages/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": "427f86f3b15158953e8f7c0ade0a443f"}
	{
	"TYPE_CHECKING": false,
	"functionalize_rng_ops": false,
	"fake_tensor_allow_meta": true,
	"debug_assert": false,
	"debug_partitioner": false,
	"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": true,
	"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": true,
	"torch_compile_graph_format": "svg",
	"generate_fake_kernels_from_real_mismatches": false,
	"graphsafe_rng_functionalization": true,
	"strict_autograd_cache": false,
	"disable_guess_zero_tangent_for_mutated_input_subclass": false
	}
V0618 13:04:01.814000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "2b6e64de33f51744ac29ebff09a8aff3"}
	{
	"name": "compile_fx.<locals>.fw_compiler_base",
	"ts": 1750251841814442.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:01.815000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "9b0cf04f5fc617ee4411741d583dff07"}
	{
	"name": "_recursive_joint_graph_passes",
	"ts": 1750251841815353.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.111000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "039d66f687beb9cd6cce63e08338f876"}
	{
	"name": "_recursive_joint_graph_passes",
	"ts": 1750251842111758.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.112000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "3a5650f689176f5819d5871b505a7fbe"}
	{
	"name": "inductor_compile",
	"ts": 1750251842112457.0,
	"args": {
	"fn_name": "compile_fx_inner",
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.118000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "fd47802a36622fb347791cbce7bb0d15"}
	{
	"name": "inductor_codecache_torch_key",
	"ts": 1750251842118406.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
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	}
V0618 13:04:02.234000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "4b3b2bb75b160088c636f32ea1dfd9e3"}
	{
	"name": "inductor_codecache_torch_key",
	"ts": 1750251842234516.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
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	}
V0618 13:04:02.504000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "b1cd5cc92ead5ba62eee5d04daa33628"}
	{
	"name": "PyCodeCache.load_by_key_path",
	"ts": 1750251842504139.8,
	"args": {
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	},
	"ph": "B",
	"cat": "dynamo_timed",
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V0618 13:04:02.508000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "9fe56e05784964033f854df4abba7fe3"}
	{
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	"pid": 0
	}
V0618 13:04:02.509000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "2e63df4b5acb30484f104a38a2c636a9"}
	{
	"name": "async_compile.wait",
	"ts": 1750251842509594.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.509000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "765bf4a1c9b1521d56074b21be61bcb7"}
	{
	"name": "PyCodeCache.load_by_key_path",
	"ts": 1750251842509931.5,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.520000 25298 site-packages/torch/_inductor/codecache.py:1096] {"inductor_output_code": {"filename": "/tmp/torchinductor_root/h4/ch44xxkifazlcpkp6mi44xhqeej2j5mbgwmesiwx6y3oajzmixxp.py"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "be8162393260b71c7d3bbd873c024489"}
	# 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
	
	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
	
	
	async_compile.wait(globals())
	del async_compile
	
	def call(args):
	    arg0_1, arg1_1, arg2_1 = args
	    args.clear()
	    assert_size_stride(arg0_1, (4096, 8192), (8192, 1))
	    assert_size_stride(arg1_1, (4096, ), (1, ))
	    assert_size_stride(arg2_1, (4096, ), (1, ))
	    with torch.cuda._DeviceGuard(0):
	        torch.cuda.set_device(0)
	        # Topologically Sorted Source Nodes: [scaled_fake_quantize], Original ATen: [quark.scaled_fake_quantize]
	        buf0 = torch.ops.quark.scaled_fake_quantize.default('int4', arg0_1, arg1_1, arg2_1, 0, 0, 0.0, 15.0, 0, 'per_channel', 'haha')
	        del arg0_1
	        del arg1_1
	        del arg2_1
	        buf1 = buf0
	        assert_size_stride(buf1, (4096, 8192), (8192, 1))
	        del buf0
	    return (buf1, )
	
	
	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((4096, 8192), (8192, 1), device='cuda:0', dtype=torch.float32)
	    arg1_1 = rand_strided((4096, ), (1, ), device='cuda:0', dtype=torch.float32)
	    arg2_1 = rand_strided((4096, ), (1, ), device='cuda:0', dtype=torch.int32)
	    fn = lambda: call([arg0_1, arg1_1, arg2_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)
	
V0618 13:04:02.521000 25298 site-packages/torch/_dynamo/utils.py:1845] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "49345c93e0c1c8a9329cc08b0c8c96c2"}
	{
	"name": "fx_graph_cache_hit",
	"ts": 1750251842118276.5,
	"args": {
	"key": "fr57fwh6rfk65wtgsmaeq6p7domzwaxezpig6cnku7tl6zrhoujz",
	"components": [	"[b6z7ijvsnbtjurvqwdotlb6qtuyjsz4krtpkqj5thbq3fhqsbhp] gm: <lambda>()\n\n\n\ndef forward(self, arg0_1, arg1_1, arg2_1):\n    scaled_fake_quantize = torch.ops.quark.scaled_fake_quantize.default('int4', arg0_1, arg1_1, arg2_1, 0, 0, 0.0, 15.0, 0, 'per_channel', 'haha');  arg0_1 = arg1_1 = arg2_1 = None\n    return (scaled_fake_quantize,)\n    \n# To see more debug info, please use `graph_module.print_readable()`",	"[nef3d47wx7hdxcyvwgucihijvag3qlbodqmms7dktjkxqgk4gux] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([4096, 8192]), stride=(8192, 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)",	"[7eps4cy57l62xkqx7rnf6ttfsuweegaqsqravzj2x5h4v6fbtod] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([4096]), stride=(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)",	"[dpovg5nw4n7fkaetfrkwcqepypqcssr7fzpd75svn53n4xjxfow] example_inputs[2]: TensorMetadata(dtype=torch.int32, shape=torch.Size([4096]), stride=(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",	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] fx_kwargs[static_input_idxs]: []",	"[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inputs_to_check[0]: 0",	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inputs_to_check[1]: 1",	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inputs_to_check[2]: 2",	"[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)",	"[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)",	"[ol6sj5vrtmgqd5cnfjbun7wbukfn7jyrtpkapnhmsysjdypit4i] torch_version: <bytes>",	"[rlwghyno43ot2zz35l3xlcrrh3arqenri6t5nsopt3t3q333zgy] system_info[device]: {'name': 'gfx942:sramecc+:xnack-'}",	"[njkbnmcun3rnt2yz2lgf57oprgdbjzlkadbcfoy57sir5fnskzg] system_info[version]: {'triton': '3.3.02e234c1d93a7cae949341b60b8567f825914128ed598e1d846c8bc19a9d65ad8-364a7d1dd5f29867a741138f83c5b453259e240a5d51f364f24f7196cedbf442-2e234c1d93a7cae949341b60b8567f825914128ed598e1d846c8bc19a9d65ad8-23d635e690d670bf61798e1259674b78c0ed5ba222ab6a455f329f27a758fc2d-e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855-ca6686d24a6f780b8449b43d419d11c978ebd00ab87a5fc6e57198a2027680d0-00deb4ba92653e089ad09c2f67cbc85602c84cd3ee2347ddcfcccc2081cfa45e-e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855-78995dd40c4e54964f62cdc6d47e66f6d9df8b55b172ad7eb99235f27999c840-f7c26e8ffdaf8cd2491de04217d32827b1a4f859f7f93ea56e26590c9f5e071a-a5b982237b29a230519ad566660a5912ae9d31da0dd6388465f3a1043b12ece7-6e4a7df0c1f6cb799f488ee1d6efd3df754fc18aac6e7209923bb022c36c7c4e-f983f9d6d6f987af520297c8fe3185601ae8f7d60bacab880ac9326bdfee1f67-5d15c5bebef8d7aa51b21fd187e5faa95eba4a213254355bc69e0648013599f7-26a8aeaf21e759191f173b578316e243ad970387442a1b238481c6a1b2eecdc4-bd364752852b76a0b75a9d93ecbc239781b730aa75021445a02d795aa8d38f6a-72bc1771d8b160fbafcd5390d1ee6cb72440c10ad4834451465a9e93b42f5d1c-7b506c955ee5646862dae548968e6523d75c37ad4750c214d9ab0f6918ecc88a-89e4844782de5fdff4868ac2846514570a6e280a6b92e91af2e180904043c833-115ada51f797cd098ddc5e4b95e8369a885571b15639694b6801f59e46eab55e-0e48b5e1e95136642ccfe62dc3d0a739a2c20a7b5ee13e9c23c6cecd68cdeb70-b616015f724e553348f5b019f7324dec130f7bbaf984d43300fa69c7c2fdda2f-54fe722cbe379a55695ab9478e73d344377cf5e9d6e055aff7cd03bf6fff1b2a-10285555cd515e21ca54714fc8eb9c173cca6b092b5e951a17ae5eee28ed2707-f2d4e73182e68eddc6237577b2158b7d8498ccb3c50642b9c74c55d3f4be3943', 'hip': '6.3.42131-fa1d09cbd'}",	"[3qefpuc3yyxaxf25vrqt6skezzayzydwq2o6i2xf2qdyioam5zw] system_info[hash]: 6e7af1eb52fca9b11dcfccdeb7b2a74263a0c6d2c07fe2b7f2c2003a4663609b",	"[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",	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bundle_triton_into_fx_graph_cache]: True",	"[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[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",	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_experimental_benchmarker]: True",	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[max_autotune]: True",	"[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",	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_same_precision]: False",	"[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",	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[coordinate_descent_tuning]: True",	"[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",	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[layout_opt_default]: 0",	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[layout_optimization]: False",	"[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",	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[developer_warnings]: False",	"[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",	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_support_input_mutation]: True",	"[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",	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.compile_wrapper_with_O0]: False",	"[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",	"[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": 1750251842521445359,
	"cache_state": "hit",
	"time_saved_ns": 427407491,
	"compile_id": "0/0"
	},
	"ph": "i",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0,
	"s": "p"
	}
V0618 13:04:02.526000 25298 site-packages/torch/_inductor/compile_fx.py:824] {"artifact": {"name": "fx_graph_cache_hit", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "50e235441168317cefbb53e6ff4e9ee8"}
	{"key": "fr57fwh6rfk65wtgsmaeq6p7domzwaxezpig6cnku7tl6zrhoujz", "components": ["[b6z7ijvsnbtjurvqwdotlb6qtuyjsz4krtpkqj5thbq3fhqsbhp] gm: <lambda>()\n\n\n\ndef forward(self, arg0_1, arg1_1, arg2_1):\n    scaled_fake_quantize = torch.ops.quark.scaled_fake_quantize.default('int4', arg0_1, arg1_1, arg2_1, 0, 0, 0.0, 15.0, 0, 'per_channel', 'haha');  arg0_1 = arg1_1 = arg2_1 = None\n    return (scaled_fake_quantize,)\n    \n# To see more debug info, please use `graph_module.print_readable()`", "[nef3d47wx7hdxcyvwgucihijvag3qlbodqmms7dktjkxqgk4gux] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([4096, 8192]), stride=(8192, 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)", "[7eps4cy57l62xkqx7rnf6ttfsuweegaqsqravzj2x5h4v6fbtod] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([4096]), stride=(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)", "[dpovg5nw4n7fkaetfrkwcqepypqcssr7fzpd75svn53n4xjxfow] example_inputs[2]: TensorMetadata(dtype=torch.int32, shape=torch.Size([4096]), stride=(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", "[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] fx_kwargs[static_input_idxs]: []", "[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inputs_to_check[0]: 0", "[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inputs_to_check[1]: 1", "[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inputs_to_check[2]: 2", "[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)", "[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)", "[ol6sj5vrtmgqd5cnfjbun7wbukfn7jyrtpkapnhmsysjdypit4i] torch_version: <bytes>", "[rlwghyno43ot2zz35l3xlcrrh3arqenri6t5nsopt3t3q333zgy] system_info[device]: {'name': 'gfx942:sramecc+:xnack-'}", "[njkbnmcun3rnt2yz2lgf57oprgdbjzlkadbcfoy57sir5fnskzg] system_info[version]: {'triton': '3.3.02e234c1d93a7cae949341b60b8567f825914128ed598e1d846c8bc19a9d65ad8-364a7d1dd5f29867a741138f83c5b453259e240a5d51f364f24f7196cedbf442-2e234c1d93a7cae949341b60b8567f825914128ed598e1d846c8bc19a9d65ad8-23d635e690d670bf61798e1259674b78c0ed5ba222ab6a455f329f27a758fc2d-e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855-ca6686d24a6f780b8449b43d419d11c978ebd00ab87a5fc6e57198a2027680d0-00deb4ba92653e089ad09c2f67cbc85602c84cd3ee2347ddcfcccc2081cfa45e-e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855-78995dd40c4e54964f62cdc6d47e66f6d9df8b55b172ad7eb99235f27999c840-f7c26e8ffdaf8cd2491de04217d32827b1a4f859f7f93ea56e26590c9f5e071a-a5b982237b29a230519ad566660a5912ae9d31da0dd6388465f3a1043b12ece7-6e4a7df0c1f6cb799f488ee1d6efd3df754fc18aac6e7209923bb022c36c7c4e-f983f9d6d6f987af520297c8fe3185601ae8f7d60bacab880ac9326bdfee1f67-5d15c5bebef8d7aa51b21fd187e5faa95eba4a213254355bc69e0648013599f7-26a8aeaf21e759191f173b578316e243ad970387442a1b238481c6a1b2eecdc4-bd364752852b76a0b75a9d93ecbc239781b730aa75021445a02d795aa8d38f6a-72bc1771d8b160fbafcd5390d1ee6cb72440c10ad4834451465a9e93b42f5d1c-7b506c955ee5646862dae548968e6523d75c37ad4750c214d9ab0f6918ecc88a-89e4844782de5fdff4868ac2846514570a6e280a6b92e91af2e180904043c833-115ada51f797cd098ddc5e4b95e8369a885571b15639694b6801f59e46eab55e-0e48b5e1e95136642ccfe62dc3d0a739a2c20a7b5ee13e9c23c6cecd68cdeb70-b616015f724e553348f5b019f7324dec130f7bbaf984d43300fa69c7c2fdda2f-54fe722cbe379a55695ab9478e73d344377cf5e9d6e055aff7cd03bf6fff1b2a-10285555cd515e21ca54714fc8eb9c173cca6b092b5e951a17ae5eee28ed2707-f2d4e73182e68eddc6237577b2158b7d8498ccb3c50642b9c74c55d3f4be3943', 'hip': '6.3.42131-fa1d09cbd'}", "[3qefpuc3yyxaxf25vrqt6skezzayzydwq2o6i2xf2qdyioam5zw] system_info[hash]: 6e7af1eb52fca9b11dcfccdeb7b2a74263a0c6d2c07fe2b7f2c2003a4663609b", "[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", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bundle_triton_into_fx_graph_cache]: True", "[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[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", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_experimental_benchmarker]: True", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[max_autotune]: True", "[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", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_same_precision]: False", "[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", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[coordinate_descent_tuning]: True", "[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", "[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[layout_opt_default]: 0", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[layout_optimization]: False", "[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", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[developer_warnings]: False", "[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", "[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_support_input_mutation]: True", "[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", "[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.compile_wrapper_with_O0]: False", "[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", "[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": 1750251842521445359, "cache_state": "hit", "time_saved_ns": 427407491, "compile_id": "0/0"}
V0618 13:04:02.527000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "c08402ff085a14875587f5522eb5777b"}
	{
	"name": "inductor_compile",
	"ts": 1750251842527055.8,
	"args": {
	"fn_name": "compile_fx_inner",
	"compile_id": "0/0",
	"is_backward": false,
	"cache_state": "hit",
	"cache_event_time": 1750251842118276381,
	"key": "fr57fwh6rfk65wtgsmaeq6p7domzwaxezpig6cnku7tl6zrhoujz",
	"components": [	"[b6z7ijvsnbtjurvqwdotlb6qtuyjsz4krtpkqj5thbq3fhqsbhp] gm: <lambda>()\n\n\n\ndef forward(self, arg0_1, arg1_1, arg2_1):\n    scaled_fake_quantize = torch.ops.quark.scaled_fake_quantize.default('int4', arg0_1, arg1_1, arg2_1, 0, 0, 0.0, 15.0, 0, 'per_channel', 'haha');  arg0_1 = arg1_1 = arg2_1 = None\n    return (scaled_fake_quantize,)\n    \n# To see more debug info, please use `graph_module.print_readable()`",	"[nef3d47wx7hdxcyvwgucihijvag3qlbodqmms7dktjkxqgk4gux] example_inputs[0]: TensorMetadata(dtype=torch.float32, shape=torch.Size([4096, 8192]), stride=(8192, 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)",	"[7eps4cy57l62xkqx7rnf6ttfsuweegaqsqravzj2x5h4v6fbtod] example_inputs[1]: TensorMetadata(dtype=torch.float32, shape=torch.Size([4096]), stride=(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)",	"[dpovg5nw4n7fkaetfrkwcqepypqcssr7fzpd75svn53n4xjxfow] example_inputs[2]: TensorMetadata(dtype=torch.int32, shape=torch.Size([4096]), stride=(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",	"[h25wqx6vliw4j5rtzzbv6latydxyei3deyg6v7wzvnzryfktuki] fx_kwargs[static_input_idxs]: []",	"[vrl5ktomgtzox5xucd3np6vug3vyj6hwwzahqijuwpmamlv7ohi] inputs_to_check[0]: 0",	"[aghvyrrgwvxijco2pk5wzc3cgmmthrbmgxitiibxuuscxdwrjd3] inputs_to_check[1]: 1",	"[pr5nr4a7dthirgd2ljo3d2xakc63ywxugusu6mkmr6gmpeliyib] inputs_to_check[2]: 2",	"[du4vyrfyozrfxcf6kk6ma7oqwatapifazeelfsawmsiu6gjdtxp] deterministic_algorithms_settings: (False, False, True)",	"[qiptf2633zubseuei4bkisoq3not35l6lud6p23p4qmcsxiw2uq] cuda_matmul_settings: (False, True, True)",	"[ol6sj5vrtmgqd5cnfjbun7wbukfn7jyrtpkapnhmsysjdypit4i] torch_version: <bytes>",	"[rlwghyno43ot2zz35l3xlcrrh3arqenri6t5nsopt3t3q333zgy] system_info[device]: {'name': 'gfx942:sramecc+:xnack-'}",	"[njkbnmcun3rnt2yz2lgf57oprgdbjzlkadbcfoy57sir5fnskzg] system_info[version]: {'triton': '3.3.02e234c1d93a7cae949341b60b8567f825914128ed598e1d846c8bc19a9d65ad8-364a7d1dd5f29867a741138f83c5b453259e240a5d51f364f24f7196cedbf442-2e234c1d93a7cae949341b60b8567f825914128ed598e1d846c8bc19a9d65ad8-23d635e690d670bf61798e1259674b78c0ed5ba222ab6a455f329f27a758fc2d-e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855-ca6686d24a6f780b8449b43d419d11c978ebd00ab87a5fc6e57198a2027680d0-00deb4ba92653e089ad09c2f67cbc85602c84cd3ee2347ddcfcccc2081cfa45e-e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855-78995dd40c4e54964f62cdc6d47e66f6d9df8b55b172ad7eb99235f27999c840-f7c26e8ffdaf8cd2491de04217d32827b1a4f859f7f93ea56e26590c9f5e071a-a5b982237b29a230519ad566660a5912ae9d31da0dd6388465f3a1043b12ece7-6e4a7df0c1f6cb799f488ee1d6efd3df754fc18aac6e7209923bb022c36c7c4e-f983f9d6d6f987af520297c8fe3185601ae8f7d60bacab880ac9326bdfee1f67-5d15c5bebef8d7aa51b21fd187e5faa95eba4a213254355bc69e0648013599f7-26a8aeaf21e759191f173b578316e243ad970387442a1b238481c6a1b2eecdc4-bd364752852b76a0b75a9d93ecbc239781b730aa75021445a02d795aa8d38f6a-72bc1771d8b160fbafcd5390d1ee6cb72440c10ad4834451465a9e93b42f5d1c-7b506c955ee5646862dae548968e6523d75c37ad4750c214d9ab0f6918ecc88a-89e4844782de5fdff4868ac2846514570a6e280a6b92e91af2e180904043c833-115ada51f797cd098ddc5e4b95e8369a885571b15639694b6801f59e46eab55e-0e48b5e1e95136642ccfe62dc3d0a739a2c20a7b5ee13e9c23c6cecd68cdeb70-b616015f724e553348f5b019f7324dec130f7bbaf984d43300fa69c7c2fdda2f-54fe722cbe379a55695ab9478e73d344377cf5e9d6e055aff7cd03bf6fff1b2a-10285555cd515e21ca54714fc8eb9c173cca6b092b5e951a17ae5eee28ed2707-f2d4e73182e68eddc6237577b2158b7d8498ccb3c50642b9c74c55d3f4be3943', 'hip': '6.3.42131-fa1d09cbd'}",	"[3qefpuc3yyxaxf25vrqt6skezzayzydwq2o6i2xf2qdyioam5zw] system_info[hash]: 6e7af1eb52fca9b11dcfccdeb7b2a74263a0c6d2c07fe2b7f2c2003a4663609b",	"[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",	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[bundle_triton_into_fx_graph_cache]: True",	"[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[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",	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[use_experimental_benchmarker]: True",	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[max_autotune]: True",	"[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",	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[force_same_precision]: False",	"[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",	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[coordinate_descent_tuning]: True",	"[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",	"[ngkkx5e6z7erl6da23zb2cmsctz4yvaqyameyg5hbqln4wrhh7x] inductor_config[layout_opt_default]: 0",	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[layout_optimization]: False",	"[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",	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[developer_warnings]: False",	"[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",	"[cev5uo2jlwdhw2uyzcm7vr6cl23azjfw437f5r5lskm7spucos6] inductor_config[triton.cudagraph_support_input_mutation]: True",	"[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",	"[esstihe2nyydk4mhzpvox3qkajyu5y5t23hk3fi2me7jn75xi3o] inductor_config[aot_inductor.compile_wrapper_with_O0]: False",	"[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",	"[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": false,
	"local_cache_enabled": true
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.528000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "54b6d8a08dd031513159569e58f60397"}
	{
	"name": "compile_fx.<locals>.fw_compiler_base",
	"ts": 1750251842528002.0,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.530000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "8ad3e0833743091be97964d0150a817b"}
	{
	"name": "create_aot_dispatcher_function",
	"ts": 1750251842530288.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.542000 25298 site-packages/torch/_dynamo/utils.py:1845] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "49de5913db0b651641b38124ac1379de"}
	{
	"name": "autograd_cache_bypass",
	"ts": 1750251841793382.2,
	"args": {
	"cache_bypass_reason": "Unsupported call_function target <class 'torch.autograd.function.FunctionCtx'>. \n Function module: torch.autograd.function, \nFunction name: FunctionCtx",
	"cache_bypass_hard_exception": false,
	"key": null,
	"cache_state": "bypass",
	"components": [],
	"compile_id": "0/0"
	},
	"ph": "i",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0,
	"s": "p"
	}
V0618 13:04:02.543000 25298 site-packages/torch/_functorch/_aot_autograd/autograd_cache.py:800] {"artifact": {"name": "aotautograd_cache_bypass", "encoding": "json"}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "051456e7172152b57502cca3b3daf7c9"}
	{"cache_bypass_reason": "Unsupported call_function target <class 'torch.autograd.function.FunctionCtx'>. \n Function module: torch.autograd.function, \nFunction name: FunctionCtx", "cache_bypass_hard_exception": false, "key": null, "cache_state": "bypass", "components": [], "compile_id": "0/0"}
V0618 13:04:02.544000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "7efcab63e28ff7a2436bf6e90fa00d65"}
	{
	"name": "backend_compile",
	"ts": 1750251842544082.2,
	"args": {
	"fn_name": "OutputGraph.call_user_compiler",
	"compile_id": "0/0",
	"requires_subclass_dispatch": false,
	"dispatch_mode": "inference",
	"cache_state": "bypass",
	"cache_event_time": 1750251841793382207,
	"key": null,
	"components": [],
	"cache_bypass_reason": "Unsupported call_function target <class 'torch.autograd.function.FunctionCtx'>. \n Function module: torch.autograd.function, \nFunction name: FunctionCtx",
	"remote_cache_enabled": false,
	"local_cache_enabled": true
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.548000 25298 site-packages/torch/_dynamo/guards.py:2537] {"dynamo_cpp_guards_str": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "442d4fc8157b19faaa8f2cc8074401cb"}
	
	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['w'], accessed_by=FrameLocalsGuardAccessor(key='w', framelocals_idx=1)
	| | +- TENSOR_MATCH: check_tensor(L['w'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float32, device=0, requires_grad=False, size=[4096, 8192], stride=[8192, 1])
	| | +- NO_HASATTR: hasattr(L['w'], '_dynamo_dynamic_indices') == False         
	| | +- NO_TENSOR_ALIASING: check_no_aliasing(L['w'], L['scale'], L['zero_point'])
	| +- GuardManager: source=L['axis'], accessed_by=FrameLocalsGuardAccessor(key='axis', framelocals_idx=4)
	| | +- EQUALS_MATCH: L['axis'] == 0                                              
	| +- GuardManager: source=L['scale'], accessed_by=FrameLocalsGuardAccessor(key='scale', framelocals_idx=2)
	| | +- TENSOR_MATCH: check_tensor(L['scale'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.float32, device=0, requires_grad=False, size=[4096], stride=[1])
	| | +- NO_HASATTR: hasattr(L['scale'], '_dynamo_dynamic_indices') == False     
	| | +- NO_TENSOR_ALIASING
	| +- GuardManager: source=L['qscheme'], accessed_by=FrameLocalsGuardAccessor(key='qscheme', framelocals_idx=9)
	| | +- EQUALS_MATCH: L['qscheme'] == 'per_channel'                               
	| +- GuardManager: source=L['quant_max'], accessed_by=FrameLocalsGuardAccessor(key='quant_max', framelocals_idx=7)
	| | +- EQUALS_MATCH: L['quant_max'] == 15                                        
	| +- GuardManager: source=L['quant_min'], accessed_by=FrameLocalsGuardAccessor(key='quant_min', framelocals_idx=6)
	| | +- EQUALS_MATCH: L['quant_min'] == 0                                         
	| +- GuardManager: source=L['group_size'], accessed_by=FrameLocalsGuardAccessor(key='group_size', framelocals_idx=5)
	| | +- EQUALS_MATCH: L['group_size'] == 0                                        
	| +- GuardManager: source=L['round_mode'], accessed_by=FrameLocalsGuardAccessor(key='round_mode', framelocals_idx=8)
	| | +- EQUALS_MATCH: L['round_mode'] == 0                                        
	| +- GuardManager: source=L['zero_point'], accessed_by=FrameLocalsGuardAccessor(key='zero_point', framelocals_idx=3)
	| | +- TENSOR_MATCH: check_tensor(L['zero_point'], Tensor, DispatchKeySet(CUDA, BackendSelect, ADInplaceOrView, AutogradCUDA), torch.int32, device=0, requires_grad=False, size=[4096], stride=[1])
	| | +- NO_HASATTR: hasattr(L['zero_point'], '_dynamo_dynamic_indices') == False
	| | +- NO_TENSOR_ALIASING
	| +- GuardManager: source=L['quant_dtype'], accessed_by=FrameLocalsGuardAccessor(key='quant_dtype', framelocals_idx=0)
	| | +- EQUALS_MATCH: L['quant_dtype'] == 'int4'                                  
	| +- GuardManager: source=L['mx_element_dtype'], accessed_by=FrameLocalsGuardAccessor(key='mx_element_dtype', framelocals_idx=10)
	| | +- EQUALS_MATCH: L['mx_element_dtype'] == 'haha'                             
	| +- GuardManager: source=G, accessed_by=GlobalsGuardAccessor
	| | +- GuardManager: source=G['scaled_fake_quantize'], accessed_by=DictGetItemGuardAccessor('scaled_fake_quantize')
	| | | +- ID_MATCH: ___check_obj_id(G['scaled_fake_quantize'], 140615015598720) 
	| | +- GuardManager: source=G['__import_quark_dot_torch_dot_kernel'], accessed_by=DictGetItemGuardAccessor('__import_quark_dot_torch_dot_kernel')
	| | | +- ID_MATCH: ___check_obj_id(G['__import_quark_dot_torch_dot_kernel'], 140649485511360)
	| | | +- GuardManager: source=G['__import_quark_dot_torch_dot_kernel'].ops, accessed_by=GetAttrGuardAccessor(ops)
	| | | | +- ID_MATCH: ___check_obj_id(G['__import_quark_dot_torch_dot_kernel'].ops, 140649515082000)
	| | | | +- GuardManager: source=G['__import_quark_dot_torch_dot_kernel'].ops.quark, accessed_by=GetAttrGuardAccessor(quark)
	| | | | | +- ID_MATCH: ___check_obj_id(G['__import_quark_dot_torch_dot_kernel'].ops.quark, 140649455882608)
	| | | | | +- GuardManager: source=G['__import_quark_dot_torch_dot_kernel'].ops.quark.scaled_fake_quantize, accessed_by=GetAttrGuardAccessor(scaled_fake_quantize)
	| | | | | | +- ID_MATCH: ___check_obj_id(G['__import_quark_dot_torch_dot_kernel'].ops.quark.scaled_fake_quantize, 140614946665776)
	
	Guard latency = 0.84 us
V0618 13:04:02.551000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "65631f19d031b2e7e53d7f2ea2f328df"}
	{
	"name": "entire_frame_compile",
	"ts": 1750251842551017.2,
	"args": {
	"fn_name": "_compile.compile_inner",
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.551000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "f67f37cf29ae3a714f49b1fcbb7956b5"}
	{
	"name": "gc",
	"ts": 1750251842551354.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "B",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.552000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "ac1d4b111e2dcb387e1b7527cd41bfce"}
	{
	"name": "gc",
	"ts": 1750251842552469.2,
	"args": {
	"compile_id": "0/0"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}
V0618 13:04:02.554000 25298 site-packages/torch/_dynamo/utils.py:1507] {"compilation_metrics": {"compile_id": "0/0", "frame_key": "1", "co_name": "run_scaled_fake_quantize", "co_filename": "/shared_volume/repos/quark/bench_qdq.py", "co_firstlineno": 7, "cache_size": 0, "accumulated_cache_size": 0, "guard_count": 21, "shape_env_guard_count": 0, "graph_op_count": 2, "graph_node_count": 6, "graph_input_count": 3, "start_time": 1750251841.474976, "entire_frame_compile_time_s": 1.068891, "backend_compile_time_s": 0.992908, "inductor_compile_time_s": 0.414598, "code_gen_time_s": null, "fail_type": null, "fail_reason": null, "fail_user_frame_filename": null, "fail_user_frame_lineno": null, "non_compliant_ops": ["quark::scaled_fake_quantize"], "compliant_custom_ops": [], "restart_reasons": [], "dynamo_time_before_restart_s": 0.0, "has_guarded_code": true, "remote_cache_time_saved_s": 0.427407, "structured_logging_overhead_s": 0.094252, "config_suppress_errors": false, 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V0618 13:04:02.558000 25298 site-packages/torch/_dynamo/utils.py:1806] {"chromium_event": {}, "frame_id": 0, "frame_compile_id": 0, "attempt": 0, "has_payload": "087b4f98d50b1f9734d273ad1cc08e91"}
	{
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	"dynamo_time_before_restart_s": 0.0,
	"has_guarded_code": true,
	"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\": true, \"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}"
	},
	"ph": "E",
	"cat": "dynamo_timed",
	"tid": 0,
	"pid": 0
	}