This repository has been archived by the owner on Aug 5, 2022. It is now read-only.
Caffe_v1.0.1
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