Master #3478
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Master #3478
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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: #1938 Fixes according to review comments.
Draw Deconvolution layers like Convolution layers
Fix MVNLayer
…==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.
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().
…ings 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
Better normalization options for SoftmaxWithLoss layer
This `examples/lenet/lenet_stepearly_solver.prototxt` is introduced in #190 by mistake, since stepearly is never actually merged.
Remove bogus stepearly in MNIST example
Skip python layer tests if WITH_PYTHON_LAYER unset
replace snprintf with a C++98 equivalent
Deprecated OpenCV consts leading to compilation error
Cast std::max args to Dtype
Safely create temporary files and directories
No more monolithic includes: split layers into their own headers for modular inclusion and build.
Dismantle Layer Headers
Remove dead preprocessor code for number of CUDA threads
[build] Display and store cuDNN version numbers for CMake
don't divide by 0 duration when downloading model binary
Remove hamming_distance and popcount
Fix compatibility issues with extract_features
A Python script for at-a-glance net summary
[docs] fix typo in interfaces.md
Add a macro to check the current cuDNN version
Add ifdef in CuDNNConvolutionLayer for cuDNN v4
models/finetune_flickr_style/deploy.prototxt uses lr_mult now.
Replace blobs_lr with lr_mult in readme.md.
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I assume this PR was a mistake? |
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Replace blobs_lr with lr_mult in readme.md.