Comments (1)
I forgot to post additional information about the issue
Collecting environment information...
PyTorch version: 1.0.0
Is debug build: No
CUDA used to build PyTorch: 9.0.176
OS: Ubuntu 16.04.5 LTS
GCC version: (Ubuntu 6.5.0-2ubuntu1~16.04) 6.5.0 20181026
CMake version: Could not collect
Python version: 3.7
Is CUDA available: Yes
CUDA runtime version: 9.0.176
GPU models and configuration: GPU 0: Quadro P4000
Nvidia driver version: 384.130
cuDNN version: Probably one of the following:
/usr/lib/x86_64-linux-gnu/libcudnn.so.7.0.5
/usr/lib/x86_64-linux-gnu/libcudnn_static_v7.a
/usr/local/cuda-9.0/targets/x86_64-linux/lib/libcudnn.so
/usr/local/cuda-9.0/targets/x86_64-linux/lib/libcudnn.so.5
/usr/local/cuda-9.0/targets/x86_64-linux/lib/libcudnn.so.5.1.3
/usr/local/cuda-9.0/targets/x86_64-linux/lib/libcudnn_static.a
Versions of relevant libraries:
[pip] Could not collect
[conda] blas 1.0 mkl
[conda] mkl 2019.1 144
[conda] mkl-service 1.1.2 py37he904b0f_5
[conda] mkl_fft 1.0.6 py37hd81dba3_0
[conda] mkl_random 1.0.2 py37hd81dba3_0
[conda] pytorch 1.0.0 py3.7_cuda9.0.176_cudnn7.4.1_1 pytorch
[conda] torch 1.0.0
[conda] torchtext 0.3.1
[conda] torchvision 0.2.1
[conda] torchvision 0.2.1 py_2 pytorch
from cnn_lstm_seq2seq.
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from cnn_lstm_seq2seq.