[GitHub] lebeg opened a new issue #12767: Flaky test: test_gluon_gpu.test_slice_batchnorm_reshape_batchnorm

[GitBox <gi...@apache.org>]

lebeg opened a new issue #12767: Flaky test: test_gluon_gpu.test_slice_batchnorm_reshape_batchnorm
URL: https://github.com/apache/incubator-mxnet/issues/12767
 
 
   http://jenkins.mxnet-ci.amazon-ml.com/blue/organizations/jenkins/incubator-mxnet/detail/master/1728/pipeline
   
   ```
   ======================================================================
   ERROR: test_gluon_gpu.test_slice_batchnorm_reshape_batchnorm
   ----------------------------------------------------------------------
   Traceback (most recent call last):
     File "/usr/local/lib/python3.5/dist-packages/nose/case.py", line 198, in runTest
       self.test(*self.arg)
     File "/usr/local/lib/python3.5/dist-packages/nose/util.py", line 620, in newfunc
       return func(*arg, **kw)
     File "/work/mxnet/tests/python/gpu/../unittest/common.py", line 172, in test_new
       orig_test(*args, **kwargs)
     File "/work/mxnet/tests/python/gpu/../unittest/test_gluon.py", line 2033, in test_slice_batchnorm_reshape_batchnorm
       check_layer_forward_withinput(net, x)
     File "/work/mxnet/tests/python/gpu/../unittest/test_gluon.py", line 1507, in check_layer_forward_withinput
       mx.test_utils.assert_almost_equal(x.grad.asnumpy(), x_hybrid.grad.asnumpy(), rtol=1e-5, atol=1e-6)
     File "/work/mxnet/python/mxnet/ndarray/ndarray.py", line 1980, in asnumpy
       ctypes.c_size_t(data.size)))
     File "/work/mxnet/python/mxnet/base.py", line 253, in check_call
       raise MXNetError(py_str(_LIB.MXGetLastError()))
   
   mxnet.base.MXNetError: [04:48:16] src/operator/nn/./cudnn/cudnn_convolution-inl.h:875: 
   Failed to find any forward convolution algorithm.  with workspace size of 1073741824 
   bytes, please consider reducing batch/model size or increasing the workspace size
   ```

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