Master #3443
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Master #3443
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[fix] properly backprop through ConcatLayer with propagate_down set
improve net config and shape mismatch error messages
Embed layer for lookup table of one hot encodings
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.
GetDB must return a value.
Exclude core.hpp when building without OpenCV
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
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Is this an accidental PR? |
Author
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Hi Sean, I am sorry it was an accidental PR. Yesterday night I was trying to clone I am new to git hub, I am facing a problem, can you please help me with it. Can you please help me with this. Any help from you will be greatly Thanks, On Fri, Dec 11, 2015 at 8:02 AM, Sean Bell notifications@github.com wrote:
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[docs] fix typo in interfaces.md