search

TomHeaven / tensorflow-osx-build

Off-the-shelf python package of tensorflow with CUDA support for Mac OS.
142 stars 20 forks source link

issue OS X does not support NUMA - returning NUMA node zero #5

Closed thegodone closed 5 years ago

thegodone commented 5 years ago

when installation is done I got this message error (pytorch installation works perfectly)

here an example testcase with tensorflow-1.12.0-py27-py36-py37-cuda10-cudnn74 wheel: python37 export PATH=/Developer/NVIDIA/CUDA-10.0/bin:$PATH export DYLD_LIBRARY_PATH=/Developer/NVIDIA/CUDA-10.0/lib:$DYLD_LIBRARY_PATH export DYLD_LIBRARY_PATH=/usr/local/cuda/lib/:$DYLD_LIBRARY_PATH export CPATH=/usr/local/cuda/include:$CPATH https://github.com/flyyufelix/DenseNet-Keras

$ python3 test_inference.py Using TensorFlow backend. /Users/guillaumegodin/Downloads/DenseNet-Keras/densenet121.py:45: UserWarning: Update your Conv2D call to the Keras 2 API: Conv2D(64, (7, 7), name="conv1", strides=(2, 2), use_bias=False) x = Convolution2D(nb_filter, 7, 7, subsample=(2, 2), name='conv1', bias=False)(x) 2019-01-27 16:20:03.688741: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:925] OS X does not support NUMA - returning NUMA node zero 2019-01-27 16:20:03.689610: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1432] Found device 0 with properties: name: GeForce GT 750M major: 3 minor: 0 memoryClockRate(GHz): 0.9255 pciBusID: 0000:01:00.0 totalMemory: 2.00GiB freeMemory: 16.59MiB 2019-01-27 16:20:03.689643: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1511] Adding visible gpu devices: 0 2019-01-27 16:20:06.003836: I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-01-27 16:20:06.003869: I tensorflow/core/common_runtime/gpu/gpu_device.cc:988] 0 2019-01-27 16:20:06.003877: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1001] 0: N 2019-01-27 16:20:06.005312: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 5 MB memory) -> physical GPU (device: 0, name: GeForce GT 750M, pci bus id: 0000:01:00.0, compute capability: 3.0) Illegal instruction: 4

TomHeaven commented 5 years ago

I'm afraid this is a bug in Tensorflow source code. You can refer to this issue for further information: https://github.com/tensorflow/tensorflow/issues/25822

You can use Python 2.7 to avoid the problem at present.

TomHeaven commented 5 years ago

I'm closing this issue since there is nothing more I can do.

xlla commented 2 years ago

I think this does not a bug in Tensorflow, in tensorflow/stream_executor/cuda/cuda_gpu_executor.cc

#if defined(__APPLE__)
  LOG(INFO) << "OS X does not support NUMA - returning NUMA node zero";
  return 0;