DISABLED test_setting_default_saved_variable_hooks_twice_should_use_inner (__main__.TestAutogradWithCompiledAutograd)

[pytorch-bot]

Platforms: linux, rocm

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs.

Over the past 3 hours, it has been determined flaky in 3 workflow(s) with 9 failures and 3 successes.

Debugging instructions (after clicking on the recent samples link):
DO NOT ASSUME THINGS ARE OKAY IF THE CI IS GREEN. We now shield flaky tests from developers so CI will thus be green but it will be harder to parse the logs.
To find relevant log snippets:

1. Click on the workflow logs linked above
2. Click on the Test step of the job so that it is expanded. Otherwise, the grepping will not work.
3. Grep for test_setting_default_saved_variable_hooks_twice_should_use_inner
4. There should be several instances run (as flaky tests are rerun in CI) from which you can study the logs.

Sample error message

Traceback (most recent call last):
  File "/var/lib/jenkins/workspace/test/test_autograd.py", line 9232, in test_setting_default_saved_variable_hooks_twice_should_use_inner
    y.sum().backward()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_tensor.py", line 523, in backward
    torch.autograd.backward(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/__init__.py", line 267, in backward
    _engine_run_backward(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/autograd/graph.py", line 767, in _engine_run_backward
    return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 403, in _fn
    return fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 735, in call_wrapped
    return self._wrapped_call(self, *args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 315, in __call__
    raise e
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/fx/graph_module.py", line 302, in __call__
    return super(self.cls, obj).__call__(*args, **kwargs)  # type: ignore[misc]
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 977, in catch_errors
    return callback(frame, cache_entry, hooks, frame_state, skip=1)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 411, in _convert_frame_assert
    return _compile(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_utils_internal.py", line 70, in wrapper_function
    return function(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 700, in _compile
    guarded_code = compile_inner(code, one_graph, hooks, transform)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 268, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 568, in compile_inner
    out_code = transform_code_object(code, transform)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/bytecode_transformation.py", line 1116, in transform_code_object
    transformations(instructions, code_options)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 173, in _fn
    return fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/convert_frame.py", line 515, in transform
    tracer.run()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2241, in run
    super().run()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 875, in run
    while self.step():
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 790, in step
    self.dispatch_table[inst.opcode](self, inst)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2398, in RETURN_VALUE
    self._return(inst)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/symbolic_convert.py", line 2383, in _return
    self.output.compile_subgraph(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 1093, in compile_subgraph
    self.compile_and_call_fx_graph(tx, pass2.graph_output_vars(), root)
  File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 1285, in compile_and_call_fx_graph
    compiled_fn = self.call_user_compiler(gm)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 268, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 1376, in call_user_compiler
    raise BackendCompilerFailed(self.compiler_fn, e).with_traceback(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/output_graph.py", line 1357, in call_user_compiler
    compiled_fn = compiler_fn(gm, self.example_inputs())
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_dynamo.py", line 127, in debug_wrapper
    compiled_gm = compiler_fn(gm, example_inputs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_dynamo.py", line 127, in debug_wrapper
    compiled_gm = compiler_fn(gm, example_inputs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/__init__.py", line 1783, in __call__
    return self.compiler_fn(model_, inputs_, **self.kwargs)
  File "/var/lib/jenkins/workspace/test/inductor/test_compiled_autograd.py", line 27, in inner_compiler
    return inductor.compile(gm_, example_inputs_)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/__init__.py", line 28, in compile
    return compile_fx(gm, example_inputs, config_patches=options)
  File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1277, in compile_fx
    return flatten_graph_inputs(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 2669, in flatten_graph_inputs
    compiled_fn = compile_gm(GmWrapper(gm, spec), inputs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1455, in compile_fx
    return aot_autograd(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/backends/common.py", line 65, in compiler_fn
    cg = aot_module_simplified(gm, example_inputs, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 958, in aot_module_simplified
    compiled_fn = create_aot_dispatcher_function(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 268, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/aot_autograd.py", line 685, in create_aot_dispatcher_function
    compiled_fn = compiler_fn(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 470, in aot_wrapper_dedupe
    return compiler_fn(flat_fn, leaf_flat_args, aot_config, fw_metadata=fw_metadata)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/runtime_wrappers.py", line 672, in aot_wrapper_synthetic_base
    return compiler_fn(flat_fn, flat_args, aot_config, fw_metadata=fw_metadata)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_functorch/_aot_autograd/jit_compile_runtime_wrappers.py", line 156, in aot_dispatch_base
    compiled_fw = compiler(fw_module, updated_flat_args)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 268, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 1359, in fw_compiler_base
    return inner_compile(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/repro/after_aot.py", line 83, in debug_wrapper
    inner_compiled_fn = compiler_fn(gm, example_inputs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/debug.py", line 304, in inner
    return fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 268, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 486, in compile_fx_inner
    compiled_graph = fx_codegen_and_compile(
  File "/opt/conda/envs/py_3.10/lib/python3.10/contextlib.py", line 79, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/compile_fx.py", line 780, in fx_codegen_and_compile
    compiled_fn = graph.compile_to_fn()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/graph.py", line 1622, in compile_to_fn
    return self.compile_to_module().call
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 268, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/graph.py", line 1569, in compile_to_module
    mod = PyCodeCache.load_by_key_path(
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 2447, in load_by_key_path
    exec(code, mod.__dict__, mod.__dict__)
  File "/tmp/torchinductor_jenkins/qe/cqetxqnf25jou4bnmcuagozpvmh2n4pbekvcu64hsqi6pptw3ud6.py", line 54, in <module>
    async_compile.wait(globals())
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 3049, in wait
    scope[key] = result.result()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 2858, in result
    return self.result_fn()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 2327, in future
    result = get_result()
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 2164, in load_fn
    future.result()
  File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 458, in result
    return self.__get_result()
  File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
    raise self._exception
  File "/opt/conda/envs/py_3.10/lib/python3.10/concurrent/futures/thread.py", line 58, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 2189, in _worker_compile_cpp
    compile_file(input_path, output_path, shlex.split(cmd))
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_dynamo/utils.py", line 268, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/_inductor/codecache.py", line 2060, in compile_file
    raise exc.CppCompileError(cmd, output) from e
torch._dynamo.exc.BackendCompilerFailed: backend='inner_compiler' raised:
CppCompileError: C++ compile error

Command:
g++ /tmp/torchinductor_jenkins/ks/cks46y6ouxe4zx2kascf4o54nvtojyxxfzud5xvswpnejj3w7bfg.cpp -shared -fPIC -Wall -std=c++17 -Wno-unused-variable -Wno-unknown-pragmas -D_GLIBCXX_USE_CXX11_ABI=1 -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/TH -I/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/include/THC -I/opt/conda/envs/py_3.10/include/python3.10 -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -L/opt/conda/envs/py_3.10/lib -L/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib -ltorch -ltorch_cpu -lgomp -ltorch_python -lc10 -mavx2 -mfma -DCPU_CAPABILITY_AVX2 -O3 -DNDEBUG -ffast-math -fno-finite-math-only -fno-unsafe-math-optimizations -ffp-contract=off -march=native -fopenmp -D C10_USING_CUSTOM_GENERATED_MACROS -o /tmp/torchinductor_jenkins/ks/cks46y6ouxe4zx2kascf4o54nvtojyxxfzud5xvswpnejj3w7bfg.so

Output:
/tmp/torchinductor_jenkins/ks/cks46y6ouxe4zx2kascf4o54nvtojyxxfzud5xvswpnejj3w7bfg.cpp:2:10: fatal error: /tmp/tmp_kzozn77/ub/cub6x5nmhqhp7xapkb3dlgjxef3t2bnkx7y7n4z2f4z5obnecxpy.h: No such file or directory
    2 | #include "/tmp/tmp_kzozn77/ub/cub6x5nmhqhp7xapkb3dlgjxef3t2bnkx7y7n4z2f4z5obnecxpy.h"
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
compilation terminated.


Set TORCH_LOGS="+dynamo" and TORCHDYNAMO_VERBOSE=1 for more information


You can suppress this exception and fall back to eager by setting:
    import torch._dynamo
    torch._dynamo.config.suppress_errors = True


To execute this test, run the following from the base repo dir:
     python test/test_autograd.py -k test_setting_default_saved_variable_hooks_twice_should_use_inner

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Test file path: inductor/test_compiled_autograd.py

ResponseError: Client network socket disconnected before secure TLS connection was established, GET https://raw.githubusercontent.com/pytorch/pytorch/main/test/inductor/test_compiled_autograd.py -1 (connected: true, keepalive socket: false, socketHandledRequests: 1, socketHandledResponses: 0)
headers: {}

cc @clee2000

[pytorch-bot]

Hello there! From the DISABLED prefix in this issue title, it looks like you are attempting to disable a test in PyTorch CI. The information I have parsed is below:

• Test name: test_setting_default_saved_variable_hooks_twice_should_use_inner (__main__.TestAutogradWithCompiledAutograd)
• Platforms for which to skip the test: linux, rocm
• Disabled by pytorch-bot[bot]

Within ~15 minutes, test_setting_default_saved_variable_hooks_twice_should_use_inner (__main__.TestAutogradWithCompiledAutograd) will be disabled in PyTorch CI for these platforms: linux, rocm. Please verify that your test name looks correct, e.g., test_cuda_assert_async (__main__.TestCuda).

To modify the platforms list, please include a line in the issue body, like below. The default action will disable the test for all platforms if no platforms list is specified.

Platforms: case-insensitive, list, of, platforms

We currently support the following platforms: asan, dynamo, inductor, linux, mac, macos, rocm, slow, win, windows.

[pytorch-bot]

Hello there! From the DISABLED prefix in this issue title, it looks like you are attempting to disable a test in PyTorch CI. The information I have parsed is below:

• Test name: test_setting_default_saved_variable_hooks_twice_should_use_inner (__main__.TestAutogradWithCompiledAutograd)
• Platforms for which to skip the test: linux, rocm
• Disabled by pytorch-bot[bot]

Within ~15 minutes, test_setting_default_saved_variable_hooks_twice_should_use_inner (__main__.TestAutogradWithCompiledAutograd) will be disabled in PyTorch CI for these platforms: linux, rocm. Please verify that your test name looks correct, e.g., test_cuda_assert_async (__main__.TestCuda).

To modify the platforms list, please include a line in the issue body, like below. The default action will disable the test for all platforms if no platforms list is specified.

Platforms: case-insensitive, list, of, platforms

We currently support the following platforms: asan, dynamo, inductor, linux, mac, macos, rocm, slow, win, windows.