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Minor CMake build changes and fix a couple of signed/unsigned warnings #4641
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* rnn-cell demo (push to server for testing) * a running example with cuDNN RNN cell
* Add function 'print_summary' and some revise
Add function 'print_summary' for print detail information of network, and format argument was add in 'plot_network'.
You can use 'print_summary' like:
"""
net = get_symbol(1000)
shape = {'softmax_label': (64, 12), 'data': (64, 3, 224, 224)}
mx.viz.print_summary(net, shape=shape)
"""
If without shape, the number of arguments would be nonsense currently.
* Update visualization.py
* Update visualization.py
* Update visualization.py
* Update visualization.py
* Update visualization.py
* Update visualization.py
* Update visualization.py
* Update visualization.py
* Update visualization.py
* Update visualization.py
* Update visualization.py
[scala] auto-generate Symbol functions
This reverts parts of commit 3e15f62. Reenables testing the Julia bindings
Also align grammar and punctuation in short descriptions of features
* rnn-cell demo (push to server for testing) * a running example with cuDNN RNN cell * add copyslice along arbitrary axis for NDArray * copy_slice_to as an ndarray operator * Python interface to the _copy_slice_to operator * fix lint error
add scala example, end2end neural-style
* update kvstore * update model.py * bandwith tool * update readme * tiny * fix lint * fix batch size of dist_device_sync * fix * fix perf problem of kvstore when only using a single device * roll back to previous strategy how to choose update_on_kvsotre * add an optionl MXNET_ENABLE_GPU_P2P to control whether or not use p2p
* when set use_global_stats then do not use cudnn * fix batch norm with use_global_stats
Fix req Fix reserve_space Allocate reserve_space using Storage
cjolivier01
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Jan 21, 2017
apache#4641) * Add channel_ to Shape2D calculation * scalapkg, add example multitask (apache#3186) * RNN cell demo with ptb LSTM language model (apache#3197) * rnn-cell demo (push to server for testing) * a running example with cuDNN RNN cell * Bulk lint fix (apache#3211) * [TENSOR] Add FlatTo1D for all elementwise ops (apache#3238) * Fix little bug on context (apache#3202) * add PennTreeBank Language Model using lstm model in R (apache#2659) * Add function 'print_summary' and some revise (apache#3161) * Add function 'print_summary' and some revise Add function 'print_summary' for print detail information of network, and format argument was add in 'plot_network'. You can use 'print_summary' like: """ net = get_symbol(1000) shape = {'softmax_label': (64, 12), 'data': (64, 3, 224, 224)} mx.viz.print_summary(net, shape=shape) """ If without shape, the number of arguments would be nonsense currently. * Update visualization.py * Update visualization.py * Update visualization.py * Update visualization.py * Update visualization.py * Update visualization.py * Update visualization.py * Update visualization.py * Update visualization.py * Update visualization.py * Update visualization.py * Added my CmakeLists.txt for caffe plugin, etc. * Revert "fix travis scala test config" (apache#3246) This reverts parts of commit 3e15f62. Reenables testing the Julia bindings * [Scala] Code generation for Symbol (apache#3217) [scala] auto-generate Symbol functions * fix spelling errors (apache#3258) Also align grammar and punctuation in short descriptions of features * fix typo in run_test.sh (apache#3260) * Copy slice along arbitrary axis (apache#3259) * rnn-cell demo (push to server for testing) * a running example with cuDNN RNN cell * add copyslice along arbitrary axis for NDArray * copy_slice_to as an ndarray operator * Python interface to the _copy_slice_to operator * fix lint error * Enable concatenation for dim-1 vectors (apache#3264) * fix PReLU backward computing (apache#3277) * Add `reverse` option in Reshape (apache#3280) * add scala example, end2end neural-style (apache#3267) add scala example, end2end neural-style * Improve multi-GPU performance (apache#3241) * update kvstore * update model.py * bandwith tool * update readme * tiny * fix lint * fix batch size of dist_device_sync * fix * fix perf problem of kvstore when only using a single device * roll back to previous strategy how to choose update_on_kvsotre * add an optionl MXNET_ENABLE_GPU_P2P to control whether or not use p2p * update dmlccore (apache#3293) * Fix newer version of gtest and cpptest (apache#3294) * when set use_global_stats then do not use cudnn (apache#3289) * when set use_global_stats then do not use cudnn * fix batch norm with use_global_stats * Fix req+reserve_space in cudnn_rnn (apache#3274) Fix req Fix reserve_space Allocate reserve_space using Storage * add cudnn off option in Convolution (apache#3270) * add support for building on power (apache#3302) * add recent examples, collect some missing tutorials (apache#3340) * CMake for caffe plugin * CMake python deployment changes * CMake python deployment changes * CMake python deployment changes * CMake python deployment changes
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