cublas的tensorflow运行错误 [英] tensorflow running error with cublas

问题描述

当我在集群上成功安装tensorflow时，我立即运行mnist演示来检查它是否运行良好，但是在这里我遇到了一个问题。我不知道这是怎么回事，但是错误似乎来自CUDA

when I successfully install tensorflow on cluster, I immediately running mnist demo to check if it's going well, but here I came up with a problem. I don't know what is this all about, but it looks like the error is coming from CUDA

python3 -m tensorflow.models.image.mnist.convolutional
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally
Extracting data/train-images-idx3-ubyte.gz
Extracting data/train-labels-idx1-ubyte.gz
Extracting data/t10k-images-idx3-ubyte.gz
Extracting data/t10k-labels-idx1-ubyte.gz
I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:924] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties: 
name: Tesla K20m
major: 3 minor: 5 memoryClockRate (GHz) 0.7055
pciBusID 0000:03:00.0
Total memory: 5.00GiB
Free memory: 4.92GiB
I tensorflow/core/common_runtime/gpu/gpu_init.cc:126] DMA: 0 
I tensorflow/core/common_runtime/gpu/gpu_init.cc:136] 0:   Y 
I tensorflow/core/common_runtime/gpu/gpu_device.cc:806] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K20m, pci bus id: 0000:03:00.0)
Initialized!
E tensorflow/stream_executor/cuda/cuda_blas.cc:461] failed to run cuBLAS routine cublasSgemm_v2: CUBLAS_STATUS_EXECUTION_FAILED
Traceback (most recent call last):
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 715, in _do_call
return fn(*args)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 697, in _run_fn
status, run_metadata)
  File "/home/gpuusr/local/lib/python3.5/contextlib.py", line 66, in __exit__
next(self.gen)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/framework/errors.py", line 450, in raise_exception_on_not_ok_status
pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors.InternalError: Blas SGEMM launch failed : a.shape=(64, 3136), b.shape=(3136, 512), m=64, n=512, k=3136
 [[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](Reshape, Variable_4/read)]]
 [[Node: add_5/_35 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_299_add_5", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/gpuusr/local/lib/python3.5/runpy.py", line 170, in _run_module_as_main
"__main__", mod_spec)
  File "/home/gpuusr/local/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/models/image/mnist/convolutional.py", line 316, in <module>
tf.app.run()
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv))
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/models/image/mnist/convolutional.py", line 294, in main
feed_dict=feed_dict)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 372, in run
run_metadata_ptr)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 636, in _run
feed_dict_string, options, run_metadata)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 708, in _do_run
target_list, options, run_metadata)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 728, in _do_call
raise type(e)(node_def, op, message)
tensorflow.python.framework.errors.InternalError: Blas SGEMM launch failed : a.shape=(64, 3136), b.shape=(3136, 512), m=64, n=512, k=3136
 [[Node: MatMul = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/job:localhost/replica:0/task:0/gpu:0"](Reshape, Variable_4/read)]]
 [[Node: add_5/_35 = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/cpu:0", send_device="/job:localhost/replica:0/task:0/gpu:0", send_device_incarnation=1, tensor_name="edge_299_add_5", tensor_type=DT_FLOAT, _device="/job:localhost/replica:0/task:0/cpu:0"]()]]
Caused by op 'MatMul', defined at:
  File "/home/gpuusr/local/lib/python3.5/runpy.py", line 170, in _run_module_as_main
"__main__", mod_spec)
  File "/home/gpuusr/local/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/models/image/mnist/convolutional.py", line 316, in <module>
tf.app.run()
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv))
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/models/image/mnist/convolutional.py", line 221, in main
logits = model(train_data_node, True)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/models/image/mnist/convolutional.py", line 213, in model
hidden = tf.nn.relu(tf.matmul(reshape, fc1_weights) + fc1_biases)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/ops/math_ops.py", line 1209, in matmul
name=name)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/ops/gen_math_ops.py", line 1178, in _mat_mul
transpose_b=transpose_b, name=name)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/ops/op_def_library.py", line 704, in apply_op
op_def=op_def)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 2260, in create_op
original_op=self._default_original_op, op_def=op_def)
  File "/home/gpuusr/local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 1230, in __init__
self._traceback = _extract_stack()

Segmentation fault (core dumped)

推荐答案

这是一场噩梦找到解决方案-但解决方案很简单

This was a nightmare to find a fix for - but the fix is somewhat simple

https://www.tensorflow.org/guide/using_gpu

# add to the top of your code under import tensorflow as tf
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
session = tf.Session(config=config....)

这篇关于cublas的tensorflow运行错误的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！