Hello! Thank you for answering. Probably I have installed something wrong, I am learning how to work with PyTorch.
Here is the output:
Collecting environment information…
PyTorch version: 1.12.1
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A
OS: CentOS Stream 8 (x86_64)
GCC version: (GCC) 9.3.0
Clang version: Could not collect
CMake version: Could not collect
Libc version: glibc-2.28
Python version: 3.8.0 (default, Nov 6 2019, 21:49:08) [GCC 7.3.0] (64-bit runtime)
Python platform: Linux-4.18.0-240.22.1.el8_3.x86_64-x86_64-with-glibc2.10
Is CUDA available: False
CUDA runtime version: No CUDA
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True
Versions of relevant libraries:
[pip3] numpy==1.23.5
[pip3] torch==1.12.1
[conda] _tflow_select 2.3.0 mkl
[conda] blas 1.0 mkl
[conda] cudatoolkit 10.1.243 h6bb024c_0
[conda] mkl 2021.4.0 h06a4308_640
[conda] mkl-service 2.4.0 py38h7f8727e_0
[conda] mkl_fft 1.3.1 py38hd3c417c_0
[conda] mkl_random 1.2.2 py38h51133e4_0
[conda] numpy 1.23.5 py38h14f4228_0
[conda] numpy-base 1.23.5 py38h31eccc5_0
[conda] pytorch 1.12.1 cpu_py38hb1f1ab4_1
[conda] tensorflow 2.4.1 mkl_py38hb2083e0_0
[conda] tensorflow-base 2.4.1 mkl_py38h43e0292_0
Will be great if you can give me some advices how to deal with this.