- 07 8月, 2017 7 次提交
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由 Qiao Longfei 提交于
* add support_gpu * fix allclose * fix name error and symplify code
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由 武毅 提交于
* put everything in paddle wheel * update * update * fix unitest * with platform specs
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由 Yu Yang 提交于
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由 Yu Yang 提交于
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由 Yan Chunwei 提交于
* finish forward debug
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由 liaogang 提交于
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由 Yu Yang 提交于
It can be run both CPU/GPU. configure attributes are: * min: the min value of uniform random * max: the max value of uniform random * dims: the dimension of output tensor * seed: the random seed of uniform random. 0 means generate a seed each time.
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- 06 8月, 2017 1 次提交
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由 Yan Chunwei 提交于
* init cross entropy graident * add crossentropy grad op * remove details * fix static compile
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- 05 8月, 2017 1 次提交
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由 Yu Yang 提交于
Make ci pass
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- 04 8月, 2017 7 次提交
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由 qijun 提交于
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由 Yancey1989 提交于
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由 dangqingqing 提交于
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由 Yu Yang 提交于
Currently use `Operator("fc", X="x", W='w1', B='b1')` as operator creation method. Fix #3198
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由 Yu Yang 提交于
Rename operator.py to op.py because it is conflict with protobuf
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由 Yu Yang 提交于
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由 Yu Yang 提交于
* because it uses `numpy.flip` in `test_image.py`
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- 03 8月, 2017 3 次提交
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由 Qiao Longfei 提交于
* init softmax grad op * add compute code * export Backward to python * update test ,export op.type to python * update python test, fix compute bug * update unit test * use eigen * optimize eigen code * add gpu test * register softmax_grad GPU kernel and fix test bug * typo * follow comments
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由 Yu Yang 提交于
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由 Qiao Longfei 提交于
* export Backward to python
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- 02 8月, 2017 7 次提交
- 01 8月, 2017 6 次提交
- 31 7月, 2017 4 次提交
- 30 7月, 2017 1 次提交
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由 guosheng 提交于
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- 29 7月, 2017 1 次提交
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由 Yan Chunwei 提交于
* add rnn op interfaces * add Run * rename state -> memory * change state -> memory * make compilable * add .cc * init test * add op fake implementation * add CreateStepNet and CreateScopes implementation. * add TODO list * init memory attributes. * add LinkMemories * add PlainNet fake implementation * Use std::shared_ptr<Scope> in the OpRunContext. * add test * disable mutable_data * finist segmentInput function * enable mutable_data with a trick * RNNOp test. * enable LinkMemories with mutable_data * update SegmentInput function with comments * finish ConcatOutput function * reformat inputs and attributes boot_memories * Refine unit test. * Refine unit test. * modify inlinks. * add OpDesc to Net * fix bug and update unit test. * move step scopes from inputs to outputs * fix merge conflict, update SegmentInput function * add RecurrentOpProtoAndCheckerMaker. * clean the codes * Abstract GetStepScopes and GetMaxSeqLen function * refine LinkMemories * Refine code and add some comments. * add backward core * update for develop branch. * add forward core * add forward algorithm * Add RecurrentGradientAlgorithm implenmention. * use CopyFrom and Slice function in RecurrentOp * add unit test for LinkMemories. * fix unit test. * use the latest tensor.h, solve conflict * add maker * move SegmentInput and ConcatOutput to details nameplace * unit test for RecurrentGradientAlgorithm. * apply OperatorBase * apply net operator. * move memorys to attributes * add RecurrentGradientOp * open test unit test in recurrent_network_op_test. * revert some files. * add RecurrentArgument and Link struct to simplify member variable. * rename. * move recurrent_op from framework to operators * add RecurrentGradientOp Init * fix name * fix Link.interal/external name * use namespace operators instead of framework * clean the code * use the latest add_op and mul_op, don't test backward now * Remove ScopePtr and OperatorPtr * add get_net to pybind * add test_recurrent_op.py * add random into gen_tensor * update to develop branch and refine some code. * add some comments.
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- 27 7月, 2017 2 次提交