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Releases: davidenunes/tensorflow-wheels

Tensorflow 2.6.1 CPU - Python 3.7 - CentOS 7 skylake-512

01 Nov 13:14
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TF Python Support OS
2.6.1 3.7 AVX512F CentOS 7

Tensorflow 2.5.0 GPU - Python 3.9 - SSE / AVX / FMA - CUDA 11.3 - cuDNN 8

30 May 21:55
e54e077
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TF Python CUDA cuDNN NCCL Support OS glibc
2.5.0 3.9 11.3 8 2.7 SSE, AVX, FMA Arch Linux x86_64 2.33

Tensorflow 2.5.0rc3 GPU - Python 3.9 - SSE / AVX / FMA - CUDA 11 - cuDNN 8

09 May 22:24
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TF Python CUDA cuDNN NCCL Support OS glibc
2.5.0rc3 3.9 11 8 2.7 SSE, AVX, FMA Arch Linux x86_64 2.33

Tensorflow 2.4.1 CPU - Python 3.9 - SSE / AVX / FMA

11 Mar 21:30
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TF Python CUDA cuDNN NCCL Support OS glibc
2.4.1 3.8 NA NA NA SSE, AVX, FMA Arch Linux x86_64 2.32

Note: the required h5py version cannot be installed in python 3.9, I recommend installing
tensorflow with the --no-deps flag

pip install ~/tensorflow-2.4.1-cp39-cp39-linux_x86_64.whl --no-deps

and then install the following dependencies separately:

pip install astunparse~=1.6.3 google-pasta~=0.2 gast==0.3.3 flatbuffers~=1.12.0

Tensorflow 2.4.1 GPU - Python 3.8 - SSE / AVX / FMA - CUDA 11 - cuDNN 8

04 Feb 13:37
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TF Python CUDA cuDNN NCCL Support OS glibc
2.4.1 3.8 11.1 8 2.7 SSE, AVX, FMA Arch Linux x86_64 2.32

Tensorflow 2.4 GPU - Python 3.9 - SSE / AVX / FMA - CUDA 11 - cuDNN 8

15 Dec 19:46
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TF Python CUDA cuDNN NCCL Support OS glibc
2.4 3.9 11.1 8 2.7 SSE, AVX, FMA Arch Linux x86_64 2.32

Tensorflow 2.4 GPU - Python 3.8 - SSE / AVX / FMA - CUDA 11 - cuDNN 8

15 Dec 19:43
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TF Python CUDA cuDNN NCCL Support OS glibc
2.4 3.8 11.1 8 2.7 SSE, AVX, FMA Arch Linux x86_64 2.32

Tensorflow 2.4rc4 GPU - Python 3.8

21 Nov 21:37
90dd1d9
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TF Python CUDA cuDNN NCCL Support OS
2.4rc4 3.8 11.1 8 2.7 SSE, AVX, FMA, TensorRT Arch Linux x86_64

Tensorflow 2.3 GPU - Python 3.8 - CUDA 11 - cuDNN 8 (Compute Capability 5)

29 Jul 09:38
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Wheel for compute capability 5.0

TF Python CUDA cuDNN NCCL Support OS
2.3 3.8 11 8 2.7 SSE, AVX, FMA Arch Linux x86_64

Tensorflow 2.3 GPU - Python 3.8 - CUDA 11 - cuDNN 8

28 Jul 23:08
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TF Python CUDA cuDNN NCCL Support OS
2.3 3.8 11 8 2.7 SSE, AVX, FMA Arch Linux x86_64