BUS Error, likely with blas

[lorenzoriano]

Please make sure that this is a bug. As per our GitHub Policy, we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:bug_template

System information

• Have I written custom code (as opposed to using a stock example script provided in TensorFlow): Yes
• OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
  Mac Sierra
• Mobile device (e.g. iPhone 8, Pixel 2, Samsung Galaxy) if the issue happens on mobile device:
• TensorFlow installed from (source or binary):
  binary
• TensorFlow version (use command below):
  v1.12.0-rc2-3-ga6d8ffae09 1.12.0
• Python version:
  3.6.5
• Bazel version (if compiling from source):
• GCC/Compiler version (if compiling from source):
• CUDA/cuDNN version:
  no Cuda
• GPU model and memory:
  not using GPU

You can collect some of this information using our environment capture script
You can also obtain the TensorFlow version with
python -c "import tensorflow as tf; print(tf.GIT_VERSION, tf.VERSION)"

Describe the current behavior
I'm trying Magenta from Google Brain. When I run python onsets_frames_transcription_transcribe.py --acoustic_run_dir /Users/lorenzori/Downloads/maestro_checkpoint ~/Downloads/test_audio.wav the script starts, then it ends with:

/Users/lorenzori/virtualenvs/test-audio/lib/python3.6/site-packages/tensorflow/python/util/tf_inspect.py:75: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec()
  return _inspect.getargspec(target)
/Users/lorenzori/virtualenvs/test-audio/lib/python3.6/site-packages/tensorflow/python/util/tf_inspect.py:75: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec()
  return _inspect.getargspec(target)
/Users/lorenzori/virtualenvs/test-audio/lib/python3.6/site-packages/tensorflow/python/util/tf_inspect.py:75: DeprecationWarning: inspect.getargspec() is deprecated, use inspect.signature() or inspect.getfullargspec()
  return _inspect.getargspec(target)
2019-01-10 17:49:57.458805: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
INFO:tensorflow:Restoring parameters from /Users/lorenzori/Downloads/maestro_checkpoint/train/model.ckpt-maestro
INFO:tensorflow:Starting transcription for /Users/lorenzori/Downloads/test_audio.wav...
INFO:tensorflow:Processing file...
INFO:tensorflow:Running inference...
[1]    20612 bus error  python onsets_frames_transcription_transcribe.py --acoustic_run_dir

Using lldb I obtain the following info:

Process 19280 stopped
* thread #25, stop reason = EXC_BAD_ACCESS (code=2, address=0x700001382000)
    frame #0: 0x0000000110a24805 libopenblasp-r0.3.0.dev.dylib`dgemm_thread_tn + 1541
libopenblasp-r0.3.0.dev.dylib`dgemm_thread_tn:
->  0x110a24805 <+1541>: xchgq  %rdi, -0x40(%rsi)
    0x110a24809 <+1545>: xorl   %edi, %edi
    0x110a2480b <+1547>: xchgq  %rdi, (%rsi)
    0x110a2480e <+1550>: addq   $0x200, %rsi              ; imm = 0x200
Target 0: (python) stopped.
(lldb) bt
* thread #25, stop reason = EXC_BAD_ACCESS (code=2, address=0x700001382000)
  * frame #0: 0x0000000110a24805 libopenblasp-r0.3.0.dev.dylib`dgemm_thread_tn + 1541
    frame #1: 0x00000001108f3e26 libopenblasp-r0.3.0.dev.dylib`cblas_dgemm + 854
    frame #2: 0x0000000105564285 multiarray.cpython-36m-darwin.so`cblas_matrixproduct + 4917
    frame #3: 0x0000000105529d37 multiarray.cpython-36m-darwin.so`PyArray_MatrixProduct2 + 215
    frame #4: 0x000000010552ed1f multiarray.cpython-36m-darwin.so`array_matrixproduct + 191
    frame #5: 0x00000001000d1cbe Python`_PyCFunction_FastCallDict + 463
    frame #6: 0x00000001001362d6 Python`call_function + 489
    frame #7: 0x000000010012f18b Python`_PyEval_EvalFrameDefault + 4811
    frame #8: 0x0000000100136a38 Python`_PyEval_EvalCodeWithName + 1719
    frame #9: 0x000000010013713b Python`fast_function + 218
    frame #10: 0x00000001001362ad Python`call_function + 448
    frame #11: 0x000000010012f224 Python`_PyEval_EvalFrameDefault + 4964
    frame #12: 0x00000001001373db Python`_PyFunction_FastCall + 121
    frame #13: 0x00000001001362ad Python`call_function + 448
    frame #14: 0x000000010012f18b Python`_PyEval_EvalFrameDefault + 4811
    frame #15: 0x0000000100136a38 Python`_PyEval_EvalCodeWithName + 1719
    frame #16: 0x000000010013730b Python`_PyFunction_FastCallDict + 449
    frame #17: 0x0000000100099f21 Python`_PyObject_FastCallDict + 196
    frame #18: 0x0000000100182073 Python`partial_call + 258
    frame #19: 0x0000000100099da2 Python`PyObject_Call + 101
    frame #20: 0x000000010012f3f4 Python`_PyEval_EvalFrameDefault + 5428
    frame #21: 0x0000000100136a38 Python`_PyEval_EvalCodeWithName + 1719
    frame #22: 0x000000010013730b Python`_PyFunction_FastCallDict + 449
    frame #23: 0x0000000100099f21 Python`_PyObject_FastCallDict + 196
    frame #24: 0x000000010009a044 Python`_PyObject_Call_Prepend + 156
    frame #25: 0x0000000100099da2 Python`PyObject_Call + 101
    frame #26: 0x00000001000e4460 Python`slot_tp_call + 50
    frame #27: 0x0000000100099da2 Python`PyObject_Call + 101
    frame #28: 0x00000001212b078e _pywrap_tensorflow_internal.so`tensorflow::PyFuncOp::Compute(tensorflow::OpKernelContext*) + 974
    frame #29: 0x000000012bd82422 libtensorflow_framework.so`tensorflow::(anonymous namespace)::ExecutorState::Process(tensorflow::(anonymous namespace)::ExecutorState::TaggedNode, long long) + 6690
    frame #30: 0x000000012bd895ba libtensorflow_framework.so`std::__1::__function::__func<std::__1::__bind<void (tensorflow::(anonymous namespace)::ExecutorState::*)(tensorflow::(anonymous namespace)::ExecutorState::TaggedNode, long long), tensorflow::(anonymous namespace)::ExecutorState*, tensorflow::(anonymous namespace)::ExecutorState::TaggedNode const&, long long&>, std::__1::allocator<std::__1::__bind<void (tensorflow::(anonymous namespace)::ExecutorState::*)(tensorflow::(anonymous namespace)::ExecutorState::TaggedNode, long long), tensorflow::(anonymous namespace)::ExecutorState*, tensorflow::(anonymous namespace)::ExecutorState::TaggedNode const&, long long&> >, void ()>::operator()() + 58
    frame #31: 0x000000012bdde824 libtensorflow_framework.so`Eigen::NonBlockingThreadPoolTempl<tensorflow::thread::EigenEnvironment>::WorkerLoop(int) + 1876
    frame #32: 0x000000012bdddfd4 libtensorflow_framework.so`std::__1::__function::__func<tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'(), std::__1::allocator<tensorflow::thread::EigenEnvironment::CreateThread(std::__1::function<void ()>)::'lambda'()>, void ()>::operator()() + 52
    frame #33: 0x000000012be00070 libtensorflow_framework.so`void* std::__1::__thread_proxy<std::__1::tuple<std::__1::function<void ()> > >(void*) + 96
    frame #34: 0x00007fffb96b893b libsystem_pthread.dylib`_pthread_body + 180
    frame #35: 0x00007fffb96b8887 libsystem_pthread.dylib`_pthread_start + 286
    frame #36: 0x00007fffb96b808d libsystem_pthread.dylib`thread_start + 13

Describe the expected behavior
The script should run

Code to reproduce the issue
python onsets_frames_transcription_transcribe.py --acoustic_run_dir <checkpoint_dir> <wav_file>

[jvishnuvardhan]

@lorenzoriano Please post this issue in TensorFlow magenta repo. This repository is mainly for solving issues TF Core and TF Lite. Thanks!

[lorenzoriano]

I've posted in the Magenta repo, but I'm not sure the error is due to Magenta or TF Core. The latter is likely imho

[jvishnuvardhan]

@lorenzoriano Did you try the solution that was provided by @pangwang in Magenta Repo here. Please let us know how it progresses. Thanks!

[jvishnuvardhan]

I am closing the issue as it is duplicate. Please check Magenta Repo for a solution. Thanks!