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Code Block
languagebash
titleCheck python version
$ python3 --version
Python 3.1013.1213
Code Block
languagebash
titleCheck NVIDIA Cuda compiler driver
$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2025 NVIDIA Corporation
Built on FriWed_FebAug_2120_2001:2358:5059_PM_PSTPDT_2025
Cuda compilation tools, release 1213.80, V12V13.80.9388
Build cuda_1213.80.r12r13.80/compiler.3558387036424714_0
Code Block
languagebash
titleCheck TensorFlow and keras installations in Conda environment
# Check with conda which versions are installed
$ conda list | grep -E 'tensorflow|keras'
keras                      3.14.1           pyh753f3f9_0              conda-forge
libtensorflow_cc           2.19.1           cuda128h5d964f1_255       conda-forge
libtensorflow_framework    2.19.1           cuda128hc512d3a_255       conda-forge
tensorflow                 2.19.1           cuda128py312h8a47763_255  conda-forge
tensorflow-base            2.19.1           cuda128py312ha24b813_255  conda-forge
tensorflow-gpu             2.19.1           cuda128h780c90d_255       conda-forge

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Code Block
languagepy
titleCheck Pytorch and CUDA installation
>>> import torch

>>> torch.__version__
'2.1112.0+cu128cu130'

>>> torch.cuda.is_available()
True

>>> torch.version.cuda
'1213.80'

# Create a tensor and move it to GPU
>>> x = torch.tensor([1.0, 2.0]).cuda()
tensor([1., 2.], device='cuda:0')