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v0.12
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@vpirogov vpirogov released this 29 Dec 23:04
v0.12
ede1e33

Performance optimizations

  • Improved performance of fp32 direct and Winograd convolution on Intel(R) Xeon(R) processors with Intel(R) Advanced Vector Instructions 512 (Intel(R) AVX512) support
  • Improved performance of int8 direct convolution on Intel Xeon processors with Intel AVX512 instruction set
  • Improved batch normalization performance on Intel Xeon processors with Intel AVX512 instruction set
  • Optimized dilated convolution backward propagation
  • Improved initialization time of GEMM-based convolution implementations

New functionality

  • Support for int8 inference. These functions support int8 data type:
    • reorders (including quantization and dequantization)
    • convolution
    • pooling
    • eltwise
    • sum
    • concat
  • Layer fusion support with the new post-ops API. Functions that support fusion:
    • forward convolution with eltwise for inference and training
    • convolution with sum for inference
    • batch normalization with eltwise for training

API deprecations and breaking changes

  • ReLU primitive is deprecated. The functionality is a part of eltwise primitive
  • Merged convolution/ReLU primitive is deprecated. The functionality is available using the new post-ops API

Thanks to the contributors

This release contains contributions from many Intel(R) Performance Libraries developers as well as @kruus, Yong Wu, Daoxin Pan, and Zhiming Wang. We would also like to thank everyone who asked questions and reported issues.

* Other names and brands may be claimed as the property of others.

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