xidulu opened a new issue #17792: Softmax raises exception for zero-size tensor on GPU URL: https://github.com/apache/incubator-mxnet/issues/17792 As title ```Python (base) ubuntu@ip-172-31-44-52:~/mxnet_master_develop$ MXNET_ENGINE_TYPE=NaiveEngine python Python 3.7.3 | packaged by conda-forge | (default, Jul 1 2019, 21:52:21) [GCC 7.3.0] :: Anaconda, Inc. on linux Type "help", "copyright", "credits" or "license" for more information. >>> from mxnet import np, npx >>> npx.set_np() >>> a = np.random.rand(4, 0, 5, 2, ctx=npx.gpu(0)) [07:26:28] ../src/base.cc:51: Upgrade advisory: this mxnet has been built against cuda library version 9000, which is older than the oldest version tested by CI (10000). Set MXNET_CUDA_LIB_CHECKING=0 to quiet this warning. [07:26:28] ../src/base.cc:84: Upgrade advisory: this mxnet has been built against cuDNN lib version 7301, which is older than the oldest version tested by CI (7600). Set MXNET_CUDNN_LIB_CHECKING=0 to quiet this warning. [07:26:28] ../src/engine/engine.cc:55: MXNet start using engine: NaiveEngine >>> npx.log_softmax(a, -1) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "<string>", line 62, in log_softmax File "/home/ubuntu/mxnet_master_develop/python/mxnet/_ctypes/ndarray.py", line 91, in _imperative_invoke ctypes.byref(out_stypes))) File "/home/ubuntu/mxnet_master_develop/python/mxnet/base.py", line 246, in check_call raise get_last_ffi_error() mxnet.base.MXNetError: Traceback (most recent call last): File "../src/operator/nn/./softmax-inl.h", line 427 Name: Check failed: err == cudaSuccess (9 vs. 0) : softmax_stride1_compute_kernel ErrStr:invalid configuration argument ```
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