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Caffe_v1.0.1

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@hshen14 hshen14 released this 07 Jul 06:45
· 826 commits to master since this release

This release includes:

  • Support configurable convolution algorithms (winograd and direct) under MKL-DNN
  • Support batch normal and scale layer fusion in convolution layer
  • Improve performance from MKL-DNN upgrade with optimizations on AVX512
  • Support multi-node training with model parallelism (experimental feature)
  • Support deconvolution layer under MKL2017
  • Integrate MLSL deployment in Makefile