python3 compatibility #10
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ND convolution with im2col
refine format of switch case statement in solver
- clarify indices by naming *_im for indices in image and *_col for indices in column - mark corresonding im2col + col2im quantities by renaming patch_* -> kernel_* - fix out-of-date names in equivalent col2im loop
future-proof version check for BLAS libraries on OS X fix #3092
Fix broken DeconvolutionLayer GPU backward caused by ND conv typo
LayerSetUp This also eliminates the extra copying of bottom's shape.
[build] check xcode command line tools version >= 6
Fix broken conv/deconv reshaping
checking large then small can mask failure since the smaller shape memory will fit within the larger shape.
Check that output spatial shape varies with input shape while the output num matches the input num.
[test] Test Reshape more rigorously
[examples] fix link to feature visualization notebook
Allow H5T_INTEGER in HDF5 files
Fix generate_sample_data.py
Updated draw.py to make it work under Python 3
TestDataTransformer: fix some memory leaks
Fix loss of last iteration when average_loss > 1
Add a -c to wget so that it continues interrupted downloads
improved to load RGB image as grayscale image
Remove unnecessary CAFFE_TEST_CUDA_PROP declarations
Scale and Bias Layers
Remove incorrect cast of gemm int arg to Dtype in BiasLayer
Net: expose param_display_names_
fixing the database param
The old uses `abspath`, which I think is so harmful:
* If I `cp -a` the whole project, `build/tools/caffe` still refer to
the old file, until `make clean`, making debugging very hard
* For `tar` and `scp`, the soft links can not work
unless the target project folder has the same path
use relative paths on making build/tools/ links
Include proto definition in distribute dir
Nicely prints gpu names
…ile extracting libflags from absolute library path with multiple (dots)
bugfix for incorrect behaviour in `caffe_parse_linker_libs`
- smooth l1 loss - roi pooling - expose phase in pycaffe - dropout scaling at test time (needed for MSRA-trained ZF network)
* commit '0dcd397b29507b8314e252e850518c5695efbb83': (223 commits)
Fast and Faster R-CNN change set - smooth l1 loss - roi pooling - expose phase in pycaffe - dropout scaling at test time (needed for MSRA-trained ZF network)
bugfix for incorrect behaviour in caffe_parse_linker_libs function while extracting libflags from absolute library path with multiple (dots)
Nicely prints GPU names
use relative paths on making build/tools/ links
Remove incorrect cast of gemm int arg to Dtype in BiasLayer
Make the two separate build systems clearer in the documentation
Update mnist readme.md: scale moved to transform_param
Remove unnecessary CAFFE_TEST_CUDA_PROP declarations
Prevent in-place computation in ReshapeLayer and FlattenLayer
Updated import to make it work with pydotplus
show Caffe's version from MatCaffe
Separation and generalization of ChannelwiseAffineLayer into BiasLayer and ScaleLayer. The behavior of ChannelwiseAffineLayer can be reproduced by a ScaleLayer with `scale_param { bias_term: true }`.
Version 1.0.0-rc3
Add ChannelwiseAffine for batch norm
copy proto to distribute directory
Add makefile config option for linking Python 3 libraries
Workaround for inplace max pooling issue
Performance related update of im2col() and col2im() functions
CMake python version fix
Speeding up the GPU solvers
...
Conflicts:
python/caffe/pycaffe.py
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Use
sixto support both python2 and python3