@shelhamer shelhamer released this Jan 30, 2016 · 631 commits to master since this release

Assets 2

A lot has happened since the last release! This packages up ~800 commits by 119 authors. Thanks all!

With all releases one should do make clean && make superclean to clear out old materials before compiling the new release.

  • layers
  • solvers: Adam #2918, RMSProp #2867, AdaDelta #2782
    • accumulate gradients to decouple computational and learning batch size #1977
    • de-duplicate solver code #2518
    • make solver type a string and split classes #3166 -- you should update your solver definitions
  • MSRA #1946 and bilinear interpolation #2213 weight fillers
  • N-D blobs #1970 and convolution #2049 for higher dimensional data and filters
  • tools:
    • test caffe command line tool execution #1926
    • network summarization tool #3090
    • snapshot on signal / before quit #2253
    • report ignored layers when loading weights #3305
    • caffe command fine-tunes from multiple caffemodels #1456
  • pycaffe:
    • python net spec #2086 #2813 #2959
    • handle python exceptions #2462
    • python layer arguments #2871
    • python layer weights #2944
    • snapshot in pycaffe #3082
    • top + bottom names in pycaffe #2865
    • python3 compatibility improvements
  • matcaffe: totally new interface with examples and tests #2505
  • cuDNN: switch to v2 #2038, switch to v3 #3160, make v4 compatible #3439
  • separate IO dependencies for configurable build #2523
  • large model and solverstate serialization through hdf5 #2836
  • train by multi-GPU data parallelism #2903 #2921 #2924 #2931 #2998
  • dismantle layer headers so every layer has its own include #3315
  • workflow: adopt build versioning #3311 #3593, contributing guide #2837, and badges for build status and license #3133
  • SoftmaxWithLoss normalization options #3296
  • dilated convolution #3487
  • expose Solver Restore() to C++ and Python #2037
  • set mode once and only once in testing #2511
  • turn off backprop by skip_propagate_down #2095
  • flatten layer learns axis #2082
  • trivial slice and concat #3014
  • hdf5 data layer: loads integer data #2978, can shuffle #2118
  • cross platform adjustments #3300 #3320 #3321 #3362 #3361 #3378
  • speed-ups for GPU solvers #3519 and CPU im2col #3536
  • make and cmake build improvements
  • and more!

Fixes

  • #2866 fix weight sharing to (1) reduce memory usage and computation (2) correct momentum and other solver computations
  • #2972 fix concat (broken in #1970)
  • #2964 #3162 fix MVN layer
  • #2321 fix contrastive loss layer to match Hadsell et al. 2006
  • fix deconv backward #3095 and conv reshape #3096 (broken in #2049)
  • #3393 fix in-place reshape and flatten
  • #3152 fix silence layer to not zero bottom on backward
  • #3574 disable cuDNN max pooling (incompatible with in-place)
  • make backward compatible with negative LR #3007
  • #3332 fix pycaffe forward_backward_all()
  • #1922 fix cross-channel LRN for large channel band
  • #1457 fix shape of C++ feature extraction demo output

Dependencies:

  • hdf5 is required
  • cuDNN compatibility is now at v3 + v4 and cuDNN v1 and v2 are not supported
  • IO dependencies (lmdb, leveldb, opencv) are now optional #2523

☕️