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parse_log.py was not using --verbose argument
Fix broken links in layer documentation, minor fixes.
docs: update install_apt_debian guide
Add Pascal CUDA architectures to Makefile.config.example
Obsolete reference to `bool solver` in caffe.proto
[osx] find vecLib without sdk version
[pycaffe] add layer_dict to the python interface
[docs] info about MKL licensing
Fix plot_training_log.py.example
[fix] pycaffe net draw needs default pooling values
fix comments in matlab classification demo
[matcaffe] allow destruction of individual networks and solvers
[cmake] Improvements to the build system
version bump: rc5
Made load_hd5 check blob dims by default, instead of reshaping.
Multi GPU training from Python can use any solver
Gaussian filler tests adjustments
Fix incorrect namespace for pycaffe submodule caffe_pb2
fix missing syncedmem constness fix issue #6387
drop unnecessary cast fix issue #6389
a sketch of `solver.step()` done out manually: 1. `solver.net.forward()` 2. `solver.net.backward()` 3. `solver.net.apply_update()` 4. `solver.net.clear_param_diffs()`
with update exposed it is important to increment the iteration when an update is made, whether by step or update alone. more fundementally, it's the update that defines an iterationa, so this is a natural place for the increment.
`solver.lr` is the effective learning rate in use while `solver.base_lr` is the configured learning rate at initialization. the solver parameter is now editable for setting fields that are in use throughout the lifetime of the solver, such as the maximum iteration.
[pycaffe] expose interface for manual, step-by-step optimization
Otherwise caffe allocates some memory on GPU#0
PoolingLayer customizable output shape rounding mode
minor lint fixes
Clip layer - resurrection
Added USE_HDF5 flag to build
Fix typo in inner_product_layer.cpp
fix typos and add passing by reference
python: Set gpu device id before setting gpu mode
Fix simple typo: overrided -> overridden
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