remove noisy logs

[xmfan]

Stack from ghstack (oldest at bottom):

• [fca] support AOT backward #140104
• [aot autograd] functionalize bwd prologue and epilogue #139855
• [fca] support autograd.Function #139930
• -> remove noisy logs #139852
• [fca] support accumulate grad #139121
• [aot autograd] refactor CompiledFunction.backward: control flow (3/N) #139347
• [aot autograd] refactor CompiledFunction.backward: epilogue (2/N) #139343
• [aot autograd] refactor CompiledFunction.backward: prologue (1/N) #139331
• [WIP] functional autograd + compiled autograd #139098

cc @ezyang @SherlockNoMad @EikanWang @jgong5 @wenzhe-nrv

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❌ 29 New Failures

As of commit 7822f19 with merge base a951d99 ():

NEW FAILURES - The following jobs have failed:

• Check mergeability of ghstack PR / ghstack-mergeability-check (gh)
  RuntimeError: Command git -C /home/runner/work/pytorch/pytorch cherry-pick -x e2f6fe6 returned non-zero exit code 1
• Lint / lintrunner-clang / linux-job (gh)
  >>> Lint for torch/csrc/autograd/python_function.h:
• Lint / lintrunner-noclang / linux-job (gh)
  >>> Lint for tools/autograd/gen_autograd_functions.py:
• pull / linux-focal-cuda11.8-py3.10-gcc9 / test (distributed, 2, 3, lf.linux.g4dn.12xlarge.nvidia.gpu) (gh)
  distributed/_tensor/test_dtensor_compile.py::TestDTensorCompile::test_dtensor_contiguous_dtensor_noncontiguous_local_as_tangent
• pull / linux-focal-cuda12.1-py3.10-gcc9 / test (default, 1, 5, lf.linux.4xlarge.nvidia.gpu) (gh)
  dynamo/test_subclasses.py::TestNestedTensor::test_basic_autograd
• pull / linux-focal-cuda12.1-py3.10-gcc9 / test (default, 3, 5, lf.linux.4xlarge.nvidia.gpu) (gh)
  inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_python_custom_function_inplace
• pull / linux-focal-cuda12.1-py3.10-gcc9 / test (default, 5, 5, lf.linux.4xlarge.nvidia.gpu) (gh)
  inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_twice_with_saved_values
• pull / linux-focal-cuda12.1-py3.10-gcc9-sm86 / test (default, 1, 5, lf.linux.g5.4xlarge.nvidia.gpu) (gh)
  inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_twice_with_saved_values
• pull / linux-focal-cuda12.1-py3.10-gcc9-sm86 / test (default, 4, 5, lf.linux.g5.4xlarge.nvidia.gpu) (gh)
  dynamo/test_subclasses.py::TestNestedTensor::test_basic_autograd
• pull / linux-focal-py3_9-clang9-xla / test (xla, 1, 1, lf.linux.12xlarge) (gh)
  test_EmbeddingBag_per_sample_weights_and_offsets_xla_int64_int64_float64
• pull / linux-focal-py3.11-clang10 / test (default, 1, 4, lf.linux.4xlarge) (gh)
  inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_twice_with_saved_values
• pull / linux-focal-py3.11-clang10 / test (default, 3, 4, lf.linux.4xlarge) (gh)
  dynamo/test_subclasses.py::TestNestedTensor::test_basic_autograd
• pull / linux-focal-py3.11-clang10 / test (dynamo, 2, 3, lf.linux.2xlarge) (gh)
  higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_custom_op_with_subclasses
• pull / linux-focal-py3.12-clang10 / test (default, 1, 4, lf.linux.4xlarge) (gh)
  inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_python_custom_function_inplace
• pull / linux-focal-py3.12-clang10 / test (default, 2, 4, lf.linux.4xlarge) (gh)
  inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_twice_with_saved_values
• pull / linux-focal-py3.12-clang10 / test (default, 4, 4, lf.linux.4xlarge) (gh)
  dynamo/test_subclasses.py::TestNestedTensor::test_basic_autograd
• pull / linux-focal-py3.12-clang10 / test (dynamo, 2, 3, lf.linux.2xlarge) (gh)
  functorch/test_aotdispatch.py::TestAOTModuleSimplified::test_grads_no_force_contiguous_nested_subclass
• pull / linux-focal-py3.12-clang10 / test (dynamo, 3, 3, lf.linux.2xlarge) (gh)
  higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_custom_op_with_subclasses
• pull / linux-focal-py3.9-clang10 / test (default, 1, 4, lf.linux.4xlarge) (gh)
  inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_twice_with_saved_values
• pull / linux-focal-py3.9-clang10 / test (default, 4, 4, lf.linux.4xlarge) (gh)
  dynamo/test_subclasses.py::TestNestedTensor::test_basic_autograd
• pull / linux-focal-py3.9-clang10 / test (dynamo, 2, 3, lf.linux.2xlarge) (gh)
  nn/test_parametrization.py::TestNNParametrization::test_register_and_remove_parametrization_swap_False
• pull / linux-focal-py3.9-clang10 / test (dynamo, 3, 3, lf.linux.2xlarge) (gh)
  higher_order_ops/test_with_effects.py::TestWithEffects::test_effectful_custom_op_with_subclasses
• pull / linux-focal-py3.9-clang10-onnx / test (default, 2, 2, lf.linux.2xlarge) (gh)
  onnx/test_pytorch_jit_onnx.py::TestJITIRToONNX_opset14::test_add_sub_with_graph_inputs
• pull / linux-jammy-py3.10-clang15-asan / test (default, 4, 6, lf.linux.4xlarge) (gh)
  inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_copy_slices_graph_task_updates
• pull / linux-jammy-py3.10-clang15-asan / test (default, 6, 6, lf.linux.4xlarge) (gh)
  inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_autograd_python_custom_function_inplace
• pull / linux-jammy-py3.9-gcc11 / test (default, 1, 4, lf.linux.2xlarge) (gh)
  inductor/test_compiled_autograd.py::TestAutogradWithCompiledAutograd::test_backward_twice_with_saved_values
• pull / linux-jammy-py3.9-gcc11 / test (default, 2, 4, lf.linux.2xlarge) (gh)
  dynamo/test_subclasses.py::TestNestedTensor::test_basic_autograd
• pull / linux-jammy-py3.9-gcc11 / test (distributed, 1, 2, lf.linux.2xlarge) (gh)
  distributed/_tensor/test_dtensor_compile.py::TestDTensorCompile::test_dtensor_noncontiguous_output
• pull / linux-jammy-py3.9-gcc11 / test (jit_legacy, 1, 1, lf.linux.2xlarge) (gh)
  test_jit_legacy.py::TestJit::test_shape_analysis_broadcast

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[ezyang]

This log is pretty useful actually, so maybe it needs to go in a dedicated artifact

[xmfan]

I was not planning to land this :P this is just to keep this change in my working dir. My minor complaint is that I don't notice the graph's logic changing much, but I have to scroll through 3 graphs instead of 1