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DISABLED test_full_symbolic_value_cuda (__main__.TestInductorDynamicCUDA) #125506

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pytorch-bot bot opened this issue May 3, 2024 · 2 comments
Closed

DISABLED test_full_symbolic_value_cuda (__main__.TestInductorDynamicCUDA) #125506

pytorch-bot bot opened this issue May 3, 2024 · 2 comments
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module: flaky-tests Problem is a flaky test in CI module: inductor module: rocm AMD GPU support for Pytorch oncall: pt2 skipped Denotes a (flaky) test currently skipped in CI. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module

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pytorch-bot bot commented May 3, 2024 •
edited

Platforms: 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_full_symbolic_value_cuda
  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 "inductor/test_torchinductor_dynamic_shapes.py", line 648, in test_full_symbolic_value
    actual = cfn(5)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/eval_frame.py", line 403, in _fn
    return fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 979, in catch_errors
    return callback(frame, cache_entry, hooks, frame_state, skip=1)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 820, in _convert_frame
    result = inner_convert(
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 411, in _convert_frame_assert
    return _compile(
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_utils_internal.py", line 70, in wrapper_function
    return function(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 701, in _compile
    guarded_code = compile_inner(code, one_graph, hooks, transform)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 273, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 568, in compile_inner
    out_code = transform_code_object(code, transform)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/bytecode_transformation.py", line 1116, in transform_code_object
    transformations(instructions, code_options)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 173, in _fn
    return fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/convert_frame.py", line 515, in transform
    tracer.run()
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2233, in run
    super().run()
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 883, in run
    while self.step():
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 798, in step
    self.dispatch_table[inst.opcode](self, inst)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2409, in RETURN_VALUE
    self._return(inst)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/symbolic_convert.py", line 2394, in _return
    self.output.compile_subgraph(
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/output_graph.py", line 1103, in compile_subgraph
    self.compile_and_call_fx_graph(tx, pass2.graph_output_vars(), root)
  File "/opt/conda/envs/py_3.8/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/output_graph.py", line 1295, in compile_and_call_fx_graph
    compiled_fn = self.call_user_compiler(gm)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 273, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/output_graph.py", line 1386, in call_user_compiler
    raise BackendCompilerFailed(self.compiler_fn, e).with_traceback(
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/output_graph.py", line 1367, in call_user_compiler
    compiled_fn = compiler_fn(gm, self.example_inputs())
  File "/opt/conda/envs/py_3.8/lib/python3.8/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_3.8/lib/python3.8/site-packages/torch/__init__.py", line 1745, in __call__
    return compile_fx(model_, inputs_, config_patches=self.config)
  File "/opt/conda/envs/py_3.8/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/compile_fx.py", line 1454, in compile_fx
    return aot_autograd(
  File "/opt/conda/envs/py_3.8/lib/python3.8/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_3.8/lib/python3.8/site-packages/torch/_functorch/aot_autograd.py", line 958, in aot_module_simplified
    compiled_fn = create_aot_dispatcher_function(
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 273, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_functorch/aot_autograd.py", line 685, in create_aot_dispatcher_function
    compiled_fn = compiler_fn(
  File "/opt/conda/envs/py_3.8/lib/python3.8/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_3.8/lib/python3.8/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_3.8/lib/python3.8/site-packages/torch/_functorch/_aot_autograd/jit_compile_runtime_wrappers.py", line 169, in aot_dispatch_base
    compiled_fw = compiler(fw_module, updated_flat_args)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 273, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/compile_fx.py", line 1358, in fw_compiler_base
    return inner_compile(
  File "/opt/conda/envs/py_3.8/lib/python3.8/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_3.8/lib/python3.8/site-packages/torch/_inductor/debug.py", line 304, in inner
    return fn(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.8/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 273, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/compile_fx.py", line 483, in compile_fx_inner
    compiled_graph = fx_codegen_and_compile(
  File "/opt/conda/envs/py_3.8/lib/python3.8/contextlib.py", line 75, in inner
    return func(*args, **kwds)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/compile_fx.py", line 779, in fx_codegen_and_compile
    compiled_fn = graph.compile_to_fn()
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/graph.py", line 1692, in compile_to_fn
    return self.compile_to_module().call
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 273, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/graph.py", line 1639, in compile_to_module
    mod = PyCodeCache.load_by_key_path(
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/codecache.py", line 2479, in load_by_key_path
    mod = _reload_python_module(key, path)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/runtime/compile_tasks.py", line 44, in _reload_python_module
    exec(code, mod.__dict__, mod.__dict__)
  File "/tmp/torchinductor_jenkins/xp/cxpjg2e56twz2q5vdd7m2oq73c5ov7w4667lplf6frmmcndiurqt.py", line 56, in <module>
    async_compile.wait(globals())
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/codecache.py", line 3035, in wait
    scope[key] = result.result()
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/codecache.py", line 2848, in result
    return self.result_fn()
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/codecache.py", line 2373, in future
    result = get_result()
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/codecache.py", line 2201, in load_fn
    future.result()
  File "/opt/conda/envs/py_3.8/lib/python3.8/concurrent/futures/_base.py", line 444, in result
    return self.__get_result()
  File "/opt/conda/envs/py_3.8/lib/python3.8/concurrent/futures/_base.py", line 389, in __get_result
    raise self._exception
  File "/opt/conda/envs/py_3.8/lib/python3.8/concurrent/futures/thread.py", line 57, in run
    result = self.fn(*self.args, **self.kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/codecache.py", line 2226, in _worker_compile_cpp
    compile_file(input_path, output_path, shlex.split(cmd))
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_dynamo/utils.py", line 273, in time_wrapper
    r = func(*args, **kwargs)
  File "/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/_inductor/codecache.py", line 2097, in compile_file
    raise exc.CppCompileError(cmd, output) from e
torch._dynamo.exc.BackendCompilerFailed: backend='inductor' raised:
CppCompileError: C++ compile error

Command:
g++ /tmp/torchinductor_jenkins/ly/clycsfp4atp3h7dbh5wt4butlmbcjbaoht3dtu5znljxusf3eckg.cpp -shared -fPIC -Wall -std=c++17 -Wno-unused-variable -Wno-unknown-pragmas -D_GLIBCXX_USE_CXX11_ABI=1 -I/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/include -I/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/include/torch/csrc/api/include -I/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/include/TH -I/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/include/THC -I/opt/conda/envs/py_3.8/include/python3.8 -L/opt/conda/envs/py_3.8/lib/python3.8/site-packages/torch/lib -L/opt/conda/envs/py_3.8/lib -L/opt/conda/envs/py_3.8/lib/python3.8/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/ly/clycsfp4atp3h7dbh5wt4butlmbcjbaoht3dtu5znljxusf3eckg.so

Output:
/tmp/torchinductor_jenkins/ly/clycsfp4atp3h7dbh5wt4butlmbcjbaoht3dtu5znljxusf3eckg.cpp:2:10: fatal error: /tmp/tmphkndtt96/ub/cub6x5nmhqhp7xapkb3dlgjxef3t2bnkx7y7n4z2f4z5obnecxpy.h: No such file or directory
    2 | #include "/tmp/tmphkndtt96/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:
    PYTORCH_TEST_WITH_ROCM=1 python test_torchinductor_dynamic_shapes.py -k test_full_symbolic_value_cuda

This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0

Test file path: inductor/test_torchinductor_dynamic_shapes.py

cc @jeffdaily @sunway513 @jithunnair-amd @pruthvistony @ROCmSupport @dllehr-amd @jataylo @hongxiayang @clee2000 @voznesenskym @penguinwu @EikanWang @jgong5 @Guobing-Chen @XiaobingSuper @zhuhaozhe @blzheng @wenzhe-nrv @jiayisunx @peterbell10 @ipiszy @yf225 @chenyang78 @kadeng @muchulee8 @ColinPeppler @amjames @desertfire @chauhang
@pytorch-bot pytorch-bot bot added module: flaky-tests Problem is a flaky test in CI module: inductor module: rocm AMD GPU support for Pytorch skipped Denotes a (flaky) test currently skipped in CI. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module labels May 3, 2024
@pytorch-bot PyTorch Bot
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pytorch-bot bot commented May 3, 2024

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_full_symbolic_value_cuda (__main__.TestInductorDynamicCUDA)
  • Platforms for which to skip the test: rocm
  • Disabled by pytorch-bot[bot]

Within ~15 minutes, test_full_symbolic_value_cuda (__main__.TestInductorDynamicCUDA) will be disabled in PyTorch CI for these platforms: 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 PyTorch Bot
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pytorch-bot bot commented May 20, 2024

Resolving the issue because the test is not flaky anymore after 350 reruns without any failures and the issue hasn't been updated in 14 days. Please reopen the issue to re-disable the test if you think this is a false positive

@pytorch-bot pytorch-bot bot closed this as completed May 20, 2024
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module: flaky-tests Problem is a flaky test in CI module: inductor module: rocm AMD GPU support for Pytorch oncall: pt2 skipped Denotes a (flaky) test currently skipped in CI. triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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