Open jiapei100 opened 3 years ago
Whenever USE_LIBUV is enabled, pytorch failed to build. My CMakeError.log is pasted at https://pastebin.com/xNyDBvHF.
Steps to reproduce the behavior:
Successfully built
➜ ~ python collect_env.py Collecting environment information... PyTorch version: N/A Is debug build: N/A CUDA used to build PyTorch: N/A ROCM used to build PyTorch: N/A OS: Ubuntu 20.04.2 LTS (x86_64) GCC version: (Ubuntu 10.2.0-5ubuntu1~20.04) 10.2.0 Clang version: 11.0.0-2~ubuntu20.04.1 CMake version: version 3.20.3 Libc version: glibc-2.31 Python version: 3.8 (64-bit runtime) Python platform: Linux-5.8.0-55-generic-x86_64-with-glibc2.29 Is CUDA available: N/A CUDA runtime version: 11.3.109 GPU models and configuration: GPU 0: GeForce RTX 2080 Ti Nvidia driver version: 460.80 cuDNN version: Probably one of the following: /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn.so.8.2.0 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8.2.0 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_adv_train.so.8.2.0 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8.2.0 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_cnn_train.so.8.2.0 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8.2.0 /usr/local/cuda-11.3/targets/x86_64-linux/lib/libcudnn_ops_train.so.8.2.0 HIP runtime version: N/A MIOpen runtime version: N/A Versions of relevant libraries: [pip3] numpy==1.20.3 [conda] Could not collect
I'm NOT using conda, but pip .
Any suggestions please?
Pei
cc @malfet @seemethere @walterddr
@jiapei100 can you please share build output as well? (As CMakeError log only contains errors during configuration stage, but not during the build)
🐛 Bug
Whenever USE_LIBUV is enabled, pytorch failed to build. My CMakeError.log is pasted at https://pastebin.com/xNyDBvHF.
To Reproduce
Steps to reproduce the behavior:
Expected behavior
Successfully built
Environment
I'm NOT using conda, but pip .
Any suggestions please?
Pei
cc @malfet @seemethere @walterddr