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MIOpen v1.3.0
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@daniellowell daniellowell released this 30 Mar 22:45
· 4468 commits to develop since this release
1.3.0
08114ba

Notes:

  • Performance improvements for RNNs
  • Performance improvements for convolutions using 1x1 filters
  • Performance improvement for Batch Normalization
  • This release adds preliminary fp16 support for Inference using CNNs
  • Bug fixes for various components of MIOpen

Changes:

  • Added 2 new API for RNNs: miopenGetRNNLayerParamOffset and miopenGetRNNLayerBiasOffset
  • Added support for uninitialized hidden states and nullptr outputs in RNNs
  • Added support for Set and Scale operations for strided tensors with dimensions 1 to 5
  • Added multi-thread and multi-process support for the performance database
  • Improved performance for OpTensor
  • Fixed bug in convolutions for backward bias
  • Fixed logic issues in get and set layer functions and related w_supertensor test
  • Fixed hang in batch norm with batch sizes greater than 256

Known Issues:

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