- 19 6月, 2018 1 次提交
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由 fengjiayi 提交于
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- 12 6月, 2018 1 次提交
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由 typhoonzero 提交于
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- 07 6月, 2018 2 次提交
- 28 5月, 2018 1 次提交
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由 qiaolongfei 提交于
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- 21 5月, 2018 2 次提交
- 16 5月, 2018 1 次提交
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由 tangwei12 提交于
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- 15 5月, 2018 3 次提交
- 14 5月, 2018 1 次提交
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由 tangwei12 提交于
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- 11 5月, 2018 1 次提交
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由 fengjiayi 提交于
* a draft of trainer.test() * polish trainer.test() * polish trainer.test() * update code format * update * polish code * polish code * polish code * Make trainer.test follow the rule of returning [loss, metric, metric, ..]
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- 07 5月, 2018 1 次提交
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由 whs 提交于
* Fix clone function of Program to avoid memory leak. * Fix inference_optimize function of framework.py. * Reuse inference_optimize in framework.py. * Add comments.
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- 05 5月, 2018 1 次提交
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由 typhoonzero 提交于
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- 03 5月, 2018 2 次提交
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由 Yancey1989 提交于
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由 Yancey1989 提交于
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- 28 4月, 2018 1 次提交
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由 qingqing01 提交于
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- 27 4月, 2018 1 次提交
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由 Kexin Zhao 提交于
* add float16 transpiler * fix feed fetch target names mismatch * fix cast op input change issue * fix program desc flush error * fix inconsistent var names in block desc bug * code clean up * add float16 infernce C++ example and fix prune bug
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- 22 4月, 2018 1 次提交
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由 qiaolongfei 提交于
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- 19 4月, 2018 1 次提交
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由 Yiqun Liu 提交于
Fix a bug in save_inference_model and prune when the program is initailized by load_inference_model (#10011) * Fix bug in save_inference_model and prune when the program is initialized by load_inference_program. * Save the transpiled program instead.
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- 12 4月, 2018 1 次提交
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由 Yang Yang(Tony) 提交于
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- 10 4月, 2018 2 次提交
- 09 4月, 2018 2 次提交
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由 Luo Tao 提交于
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由 qiaolongfei 提交于
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- 08 4月, 2018 3 次提交
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由 typhoonzero 提交于
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由 typhoonzero 提交于
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由 gongweibao 提交于
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- 04 4月, 2018 2 次提交
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由 wanghaoshuang 提交于
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由 typhoonzero 提交于
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- 03 4月, 2018 3 次提交
- 02 4月, 2018 1 次提交
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由 wanghaoshuang 提交于
1. Add attr 'average' into ParamAttr. 2. Make 'params_grads' optional for AverageModel. 3. Add option 'average_mean' and 'average_variance' for batch_normal.
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- 18 3月, 2018 1 次提交
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由 wanghaoshuang 提交于
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- 15 3月, 2018 1 次提交
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由 Thuan Nguyen 提交于
* Fix old documentation for channel_recv * Initial design of CSP select * Redesign channel implementation for Select Op * Remove unecessary header * Initial checkin of select op, currently will read all the conditional_op in the cases block and also pull out all channels involved in the select. * Init python select op API * Python select bug fix when checking op creates block * Add case_to_execute as (a) input to select, (b) into the passed inputs into the select op * Add in addition code for select op * Init fibonacci test from python * implement fibonnaci sequence test * update fib unit test * Improve select test cases * Shorten non-pep-8-ed lines * Add methods on channel needed by select op * Fix compile issues, finish implementation, still need to debug code * Fix issue with fibonncci test, it works now! * Change QueueMessage callback to take in an ChannelAction enum, fix select unit test * Fix case attributes * Fix issue with select control flow * Make cases - previously on each selectcase conditional_block - attributes to select * Use class constants for type of channel * Change select op to take in "cases" attribute * return boolean from select callback function to tell Channel if this RECV or SEND should be executed * Improve attributes and inputs comments on select op * Fix issues with python unit test * Assert fibonacci final output * Fix issue when channel name / channel var is null for "default" case in select op * Assert base select test output * Make QueueMessage use shared pointer and modify the order of the callback * Fixing the order in which the callback is called * Move channel utility methods to paddle/fluid/operators/concurrency/channel_util * Create channel_util and move channel util methods * Fix crash when calling select_op * Fix deadlock * Fix issue of channel destructor deadlock * Fix precommit issues * Accidentally checked in changes to beam_search_op, reverting change. * Fix dependency issue in concurrency cmake * add device_context dependency for concurrency target
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- 06 3月, 2018 1 次提交
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由 kexinzhao 提交于
* fix is_test issue * add paddle enforce * fix bug * add new func * small fix * address comments
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- 01 3月, 2018 2 次提交
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由 typhoonzero 提交于
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由 Abhinav Arora 提交于
* Adding Python boilerplate code for Go op * Add very basic test case * Adding the python logic for go routine * Fix syntax * Changing test to notest * Rename Routine to Go * Combining GoGuard and Go in one class * Modify test * Adding fluid close channel * Fixing __init__.py for calling fluid.go() * Adding stubs for channel methods and updating test case * Removing import * * Adding imports from concurrency * Initial commit of GO_OP (for varun) * Creating local scopes and go through them * Updated go op inputs persistability enforcement * Add thread execution; compile failing though * Fix go op * Cleaned up Go op * Fix yapf format issue * Readd warp ctc dir for unit tests * Updated make_channel, channel_send, channel_recv and channel_close * Moved thread function to another method, update unit tests * remove output var * Add stubs for channel operators * Updating concurrency with signatures * Updated the signature with return status * Fixed dtype in variables * Updating stub of ChannelSend + add infershape * Updating stub of ChannelRecv + add infershape * Updated signature * Adding the channel_create operator * Merge channel send+receive ops * Update concurrency tests using all operators * Updating the create op with ChannelHolder * Fix issues with channel_create_op * Add the implementation for channel_close op * Add channel close operator, fix channel close op * Adding the channel_send op * Comment channels C++ and Python code * Concurrency python api comment fix * Update unit test to add Status variable * Adding channel receive operator * Update concurrency test to demonstrate a complete CSP flow * Fix clang-format issues * Fixed "Out" parameter name * Fixing merge conflict in framework.py * Add channel ops to framework.py no_kernel_op_set * Seperating channel_send and channel_recv operators * Documenting capacity type * Update concurrency test to create go block as child block of main program * Changing set status implementation
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