kohr-h commented on issue #13135: [Python] CUDNN error from 3D deconvolution URL: https://github.com/apache/incubator-mxnet/issues/13135#issuecomment-436255578 Furthermore: If I leave out the last line and do `python -i tmp.py` I observe this: ```py >>> [14:34:59] c:\users\holger\git\mxnet\src\operator\nn\cudnn\./cudnn_algoreg-inl.h:97: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable) [14:34:59] c:\users\holger\git\mxnet\src\operator\nn\cudnn\./cudnn_algoreg-inl.h:97: Running performance tests to find the best convolution algorithm, this can take a while... (setting env variable MXNET_CUDNN_AUTOTUNE_DEFAULT to 0 to disable) >>> output.shape (1, 1, 64, 64, 64) >>> from mxnet.base import _LIB, py_str >>> py_str(_LIB.MXGetLastError()) '' >>> input = input.asnumpy() >>> py_str(_LIB.MXGetLastError()) '' >>> output = output.asnumpy() Traceback (most recent call last): File "<stdin>", line 1, in <module> File "c:\users\holger\git\mxnet\python\mxnet\ndarray\ndarray.py", line 1980, in asnumpy ctypes.c_size_t(data.size))) File "c:\users\holger\git\mxnet\python\mxnet\base.py", line 252, in check_call raise MXNetError(py_str(_LIB.MXGetLastError())) mxnet.base.MXNetError: [14:34:59] c:\users\holger\git\mxnet\src\operator\nn\./cudnn/cudnn_deconvolution-inl.h:849: Failed to find any forward deconvolution algorithm with workspace size of 536870912 bytes, please consider reducing batch/model size or increasing the workspace size ``` So the error has in fact not even occurred before the call to `asnumpy`.
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