Promote caffe-0.14 branch to master #114
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Fix the MVNLayer tests so they actually test what they claim. MVNLayer fixes: sum_multiplier_ sized correctly; backward gradient calculation. Gradient calculation per analysis of seanbell, found here: BVLC#1938 Fixes according to review comments.
Draw Deconvolution layers like Convolution layers
…==1 in SPPLayer also, do nothing in SPPLayer Reshape if already reshaped once and bottom size unchanged
Fix SPPLayer top blob num and address `pyramid_height_ == 1`
Give the python layer parameter/weight blobs.
…rning Fix EmbedLayer compiler warning for unused variable.
Previously, the prefetch GPU -> top GPU and prefetch CPU -> prefetch GPU copies were launched concurrently in separate streams, allowing the next batch to be copied in before the current one is read. This patch explicitly synchronizes the prefetch -> top copy wrt the host, preventing the CPU -> GPU from being launched until its completion.
Fix truncation of value warning
Fix a recently introduced race condition in DataLayer
Compute backward for negative lr_mult
Replaces CAffe_POSTFIX -> Caffe_POSTFIX.
This fixes a memory leak by using delete[] rather than plain delete.
Cleanup: Fixup capitalisation of Caffe_POSTFIX.
Fix some doxygen warnings about an undocumented argument in Blob and incorrect documentation for SoftmaxWithLossLayer::Forward_cpu().
…warnings Fix up documentation errors.
cifar10: Fix examples by setting snapshot_format.
Show output from convert_imageset tool
Fix memory leak in convert_mnist_siamese_data.
Add extra OpenBLAS include search path
Allow trivial slice/concat
Cross merge fixes from Boris
gpu_memory cleanup, fixes possible init issue
cuDNN and pooling fixes
Cleaner workaround for max pool
Fix commentary
weight updates should be done with beta=1
200169109 fix
lukeyeager
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Feb 13, 2016
Promote caffe-0.14 branch to master
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Version 0.14 is now publicly available on the ML repo.
Close #16
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Close #106
Since merging #96, this is now a no-conflict merge.