update recurrent branch with latest BVLC/master #9
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(With layers whose backwards accumlate gradients), this effectively decouples the computational batch from the SGD minibatch. Each iteration accumulates gradients over iter_size batches, then parameters are updated.
(double impl from NVIDIA dev docs; float impl included in CUDA as "atomicAdd")
everything in Reshape)
Removed the CPU_ONLY fix introduced in BVLC#2370 because the surrounding Net<Dtype>::Update() logic was previously removed in this feature branch at a7eaaf5. Merge remote-tracking branch 'jeff/recurrent' * jeff/recurrent: (26 commits) RecurrentLayer bugfix: params still need backprop Prototxts + script for training LRCN COCO image captioning model Prototxts + script for training COCO caption language model Add scripts to create HDF5 datasets from COCO captions Add scripts for downloading COCO2014 tools & data Add LSTMLayer and LSTMUnitLayer, with tests Add RNNLayer, with tests Add RecurrentLayer: an abstract superclass for other recurrent layer types TestNet fixes for Net weight sharing modifications Modifications to Net to facilitate unrolled recurrent networks Allow ConcatLayer to take a single bottom Blob (for testing) Allow SliceLayer to have a single top Blob (for testing) EltwiseLayer with coeff blob GPU kernel EltwiseLayer can take a blob of per-num coefficients AccuracyLayer: add 'denominator' param FlattenLayer fix -- top should always Share* from bottom (and do everything in Reshape) Add (very simple version of) ReshapeLayer EmbedBackward with no loops -- use caffe_gpu_atomic_add instead Add EmbedLayer for inner products with sparse input (one-hot vectors), with unit tests test_gradient_check_util: check_bottom < -1 only checks params ... Conflicts: src/caffe/net.cpp
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Merged in latest BVLC/master to keep BVLC#2033 up to date and mergeable. Resolved seemingly straightforward conflict introduced by BVLC#2370 vs a7eaaf5. Confirmed
make runtestcompletes successfully (659 tests).