- 24 12月, 2018 1 次提交
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由 whs 提交于
* Init slim. * Remove distillation demo. * Fix import errors. test=develop * Fix some issues. test=develop * Fix configs. test=develop * Modify API.spec. test=develop * Fix format. test=develop * Fix format. test=develop * Add some comments.
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- 15 8月, 2018 1 次提交
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由 minqiyang 提交于
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- 02 8月, 2018 1 次提交
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由 minqiyang 提交于
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- 18 7月, 2018 1 次提交
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由 Qingsheng Li 提交于
* Added beam search API to fluid/contrib * Change as review comments * API.spec change * Doc updated
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- 24 2月, 2018 1 次提交
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由 Luo Tao 提交于
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- 13 2月, 2018 1 次提交
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由 Xin Pan 提交于
Currently, our tests run with 2 GPUs, the init time is absurdly long: about 4s for each process. Currently, we run each OP test on different processes. This PR: 1. create cmake function py_test_modules which will generate the Makefile that runs a list of Python unittest module in a single Python process. 2. move all "python unittest compatible" (e.g., used the unittest package, not just a regular python file). from fluid/tests to fluid/tests/unittests. 3. cmake now will run all OP tests in fluid/tests/unittests in a single process, except the time-consuming tests, they are separated into different processes to utilize parallelism. Please make sure to use the unittest package if you put the python test file in fluid/tests/unittests 4. remove all exit(0) from fluid/tests/unittests/*.py, exit(0) is used to disable unittest, we can not do it when running all tests in a single process since it will terminate the process without running the other tests. Instead, the test is disabled in fluid/tests/unittests/CMakeLists.txt. FIXME is added for each disabled item. Please disable the unittest from fluid/tests/unittests/CMakeLists.txt, instead of adding exit(0) to the Python file, for all Python file in fluid/tests/unittests/. 5. add an option WITH_FAST_BUNDLE_TEST. When OFF, will run the unit tests in separate process so that they can be tested individually.
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- 09 12月, 2016 1 次提交
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由 Yi Wang 提交于
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- 12 11月, 2016 1 次提交
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由 qijun 提交于
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- 29 8月, 2016 1 次提交
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由 zhangjinchao01 提交于
ISSUE=4586495 git-svn-id: https://svn.baidu.com/idl/trunk/paddle@1408 1ad973e4-5ce8-4261-8a94-b56d1f490c56
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