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Caffe_v1.1.0
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@hshen14 hshen14 released this 13 Jan 07:14
· 361 commits to master since this release
1.1.0
f6d01ef
  • Features
  1. Support INT8 inference. A calibration tool is provided to transform FP32 models to INT8 models
  2. Support convolution and element-wise sum fusion, boosting inference performance (e.g. ResNet-50)
  3. Support SSD training and inference with pure MKLDNN engine
  4. Enhance MSRA weight filler with scale parameter
  5. Support performance collection on single node in the same way as multi-node
  6. Set CPU_ONLY as default in CMake configuration
  • Bug fixings
  1. Fix correctness issue on layers with various engines
  2. Sync sampling bug fix 96175b from Wei Liu’s SSD branch
  3. Fix multi-node crash issue running from pycaffe
  4. Correct link library of MLSL for multi-node
  5. Fix build issue of weight quantization
  • Misc
  1. Upgrade MKLML to 2018.0.1.20171227 and MKLDNN to v0.12
  2. Update models for multi-node training
  3. Enhance installation and benchmarking scripts
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