Tensorflow Optimized Wheels Versions Save

TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA

v2.1.0

4 years ago
  • TensorFlow 2.1.0
  • Python 3.7 & 3.8
  • CUDA 10.2.89
  • CuDNN 7.6.5
  • NCCL 2.5.6
  • TensorRT 7.0
  • Linux OS
  • CPU + GPU
  • SSE4, AVX2, FMA, XLA
  • Compute Capabilities: 5.0, 6.1, 7.0, 7.5

v2.0.0-py3.8

4 years ago
  • TensorFlow 2.0.0
  • CUDA 10.2.89
  • CuDNN 7.6.5
  • Python 3.8
  • NCCL 2.5.6
  • Linux OS
  • CPU + GPU
  • SSE4, AVX2, FMA, XLA, MKL
  • Compute Capabilities: 5.0, 6.1, 7.0

v2.0.0

4 years ago
  • TensorFlow 2.0.0
  • CUDA 10.1
  • CuDNN 7.5
  • Python 3.7
  • NCCL 2.4
  • Linux OS
  • CPU + GPU
  • SSE4, AVX2, FMA, XLA, MKL
  • Compute Capabilities: 5.0, 6.1, 7.0

v2.0.0a0

5 years ago
  • TensorFlow 2.0.0a0
  • CUDA 10.0
  • CuDNN 7.5
  • TensorRT 5.0
  • Python 3.7
  • NCCL 2.4
  • Linux OS
  • CPU + GPU
  • SSE4, AVX2, FMA, XLA, MKL
  • Compute Capabilities: 5.0, 6.1, 7.0

v1.13.1-py37

5 years ago
  • TensorFlow 1.13.1
  • CUDA 10.0
  • CuDNN 7.5
  • NCCL 2.4
  • Python 3.7
  • Linux OS
  • CPU + GPU
  • SSE4, AVX2, FMA, XLA, MKL
  • Compute Capabilities: 5.0, 6.1, 7.0

v1.13.1

5 years ago
  • TensorFlow 1.13.1
  • CUDA 10.0
  • CuDNN 7.3
  • NCCL 2.3
  • Python 3.6
  • Linux OS
  • CPU + GPU
  • SSE4, AVX2, FMA, XLA, MPI
  • Compute Capabilities: 5.0, 6.1, 7.0

v1.12.0

5 years ago
  • TensorFlow 1.12.0
  • CUDA 10.0
  • CuDNN 7.3
  • NCCL 2.3
  • Python 3.6
  • Linux OS
  • CPU + GPU
  • SSE4, AVX2, FMA, XLA, MPI
  • Compute Capabilities: 5.0, 6.1, 7.0

v1.11.0

5 years ago

v1.10.0

5 years ago