Mini Caffe Versions Save

Minimal runtime core of Caffe, Forward only, GPU support and Memory efficiency.

v0.4.0

7 years ago
  • Mini-Caffe can be compiled on Windows, Linux, Android platform (OpenBLAS and protobuf needed)
  • Add CUDA and CUDNN code back from original Caffe implement
  • Remove all backward functions, Mini-Caffe now only provides Forward functions
  • Optimize some layer implement (Since we don't need backward)
  • Add C/Java/Python API
  • Add examples to show how to integrate Mini-Caffe into other projects
  • Refactoring code to tweak the API, remove all template, use float as default data type (Some API also changed)
  • Add Profiler that helps analyse the network performance
  • Add Layer Crafter in Python API for creating network prototxt

v0.3.0

7 years ago
  • Mini-Caffe now only depends on OpenBLAS and protobuf.
  • Remove all data layer including MemoryDataLayer, use InputLayer instead
  • Remove all gpucode
  • Replace glog with dmlc/logging

v0.2.0

7 years ago

update to BVLC/caffe@f28f5ae2f2453f42b5824723efc326a04dd16d85