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MIOpen v1.5.0

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@daniellowell daniellowell released this 14 Sep 23:06
· 2231 commits to master since this release
e3fb49c

Notes:

  • A new kernel fusion API is now available for inference for convolution, bias,
    batch normalization, and activations.
  • This release includes new features and bug fixes
  • Group and Depthwise convolutions are now available
  • 3D Batch Normalization has been implemented for fully packed tensors
  • Dilation for convolutions have been implemented

Changes:

  • Fixed bugs in direct convolutions
  • Fixed issue with paths when $HOME variable is not set
  • Fixed padding issues with 1x1 convolutions
  • Added incremental support for fp16
  • Added fused kernels for Winograd and direct with bias and activations
  • Added a getting started guide for kernel fusion.
  • Added group and depthwise API for convolutions
  • Added 3-D batch normalization support with 5-D tensors
  • Improved max pooling performance
  • Improved debug and error reporting information
  • Improved documentation for convolutions

Known Issues:

  • RNNs do not support fp16
  • Training with CNNs does not support fp16