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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/03/22 12:28:16 UTC

[GitHub] [incubator-mxnet] lihaofd edited a comment on issue #14476: Change RNN OP to stateful

lihaofd edited a comment on issue #14476: Change RNN OP to stateful
URL: https://github.com/apache/incubator-mxnet/pull/14476#issuecomment-475602423
 
 
   In unix-gpu, the case in Python3: MKLDNN-GPU-NOCUDNN failed,
   May I know the compile option of Python3: MKLDNN-GPU-NOCUDNN?
   Is it make  USE_BLAS=mkl USE_CUDA=1 USE_CUDNN=0 USE_MKLDNN=1 USE_CUDA_PATH=[cuda path]?
   I build mxnet master 
   commit 29e13b4cbffcf47d3006b9478e242683136fff82
   Author: Nathalie Rauschmayr <n....@gmail.com>
   Date:   Thu Mar 21 19:33:24 2019 -0700
   
   Add then run
   DEVICES=/CUDA_VISIBLE_DEVICES=0 DEVICES=/gpu:0 nosetests -v tests/python/gpu/test_gluon_gpu.py:test_lstm_cpu_inference
   it shows error like
   
   Traceback (most recent call last):
     File "/usr/lib/python2.7/site-packages/nose/case.py", line 197, in runTest
       self.test(*self.arg)
     File "/usr/lib/python2.7/site-packages/nose/util.py", line 620, in newfunc
       return func(*arg, **kw)
     File "/home/hli32/mxnet/stateful/mxnet_gpu_upstream/tests/python/gpu/../unittest/common.py", line 110, in test_new
       orig_test(*args, **kwargs)
     File "/home/hli32/mxnet/stateful/mxnet_gpu_upstream/tests/python/gpu/../unittest/test_gluon_rnn.py", line 81, in test_lstm_cpu_inference
       x = mx.nd.ones(shape=(2, 2, 2))
     File "/home/hli32/mxnet/mxnet/python/mxnet/ndarray/ndarray.py", line 2421, in ones
       return _internal._ones(shape=shape, ctx=ctx, dtype=dtype, **kwargs)
     File "<string>", line 34, in _ones
     File "/home/hli32/mxnet/mxnet/python/mxnet/_ctypes/ndarray.py", line 92, in _imperative_invoke
       ctypes.byref(out_stypes)))
     File "/home/hli32/mxnet/mxnet/python/mxnet/base.py", line 252, in check_call
       raise MXNetError(py_str(_LIB.MXGetLastError()))
   MXNetError: [20:25:05] src/imperative/imperative.cc:79: Operator _ones is not implemented for GPU.
   
   

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