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Refine ut names #3
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tonyyang-svail
merged 31 commits into
tonyyang-svail:add_fill_constant_like
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reyoung:refine_ut_names
Oct 31, 2017
Merged
Refine ut names #3
tonyyang-svail
merged 31 commits into
tonyyang-svail:add_fill_constant_like
from
reyoung:refine_ut_names
Oct 31, 2017
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…ribute_to_paddle_en.md so sphinx can generate the document * Update CONTRIBUTING.md links so sphinx does not add these links to the TOC * Removed dev/contribute_to_paddle_cn.md from documentation, since this document is not in sync with Paddle/CONTRIBUTING.md
* add resnet * optimize code
…OR_SPHINX Update CONTRIBUTION.md to generate correctly on SPHINX
* Fix Type error * Fix error * Fix top_k_op GPU code data type
* "add sequence conv layer" * "add sequence layer" * add networks * "fix based comment" * Update layers.py
…le#5162) * add logs and fix a bug * fix break buf * modify path bugs * fix by comments * fix by comments * add batch * add float32tostring * add pb support * moidfy gotpaht * compile ok * add proto * delete not need * add proto * add empty proto * clean not need * clean not need * modify deps * fix by comments and update depend * fix compile error * fix loop bugs
* improve unique_name, uniq id is related to prefix * fix join
* remove unused code * fix cmake file * fix build error
* reimplement pow operator * add pow_grad operator * fix code style * fix build error * fix op_test bug * revert pow operator * add FIXME comment
…#5177) * Add cross_compiling_for_raspberry.md * Update cross_compiling for raspberry pi document * Some minor edits * In response to comments from Kavya * Add the _en suffix
* Complete accuray layer * Fix error * Fix error * Add 'accuracy' to __all__ * update * Fix Type error * Fix error * Refine unit tests * Fix an unit test error
* refine evaluator op types * update * follow comments * update * fix v2 mnist case * fix v2 mnist case * update * update
add test_Expand and simply the gserver/tests/CMakeLists
correct the index of cluster_train_cn/en.md
* "modify layers.py" * "fix pool interface" * "add export type to layers" * "fix based on comment"
* AddBiasOp does not care num_flatten_dims * Add comments
1. Change some `auto` to `auto*` 2. Change `Tensor` to `LoDTensor`
* add shareLod * fix sequence_conv grad infershape
* Init commit * Make executor use ProgramDescBind * Change Attribute from BlockDesc to BlockDescBind * Since we will get the program desc in RNN, just BlockDesc is not enough.
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