- 06 9月, 2022 1 次提交
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由 xiaohemaikoo 提交于
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- 10 8月, 2022 1 次提交
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由 Nyakku Shigure 提交于
[CodeStyle] use np.testing.assert_array_equal instead of self.assertTrue(np.array_equal(...)) (#44947) * automatically fix * update comments * numpy -> np * self.assertEqual(..., True) * wrong usage (err_msg=True) 这不是修复导致的错误,这些是原来 `self.assertTrue(..., True)` 的错误用法,因此在修复后将其认为位置参数 `err_msg` * some missing fix
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- 05 6月, 2022 1 次提交
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由 Sing_chan 提交于
* use yapf to format all python file * yapf exclude two unittests file for they rely on writing and reading file, and format will break them * disable diff_py_file because too many diff files cause command following failed
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- 02 6月, 2022 1 次提交
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由 Weilong Wu 提交于
* [Eager] FLAGS_retain_grad set false * Add FLAGS_retain_grad_ for some tests * Add FLAGS_retain_grad_ to some tests * modified set_flags * modified set_flags * fix windows-ci and windows-openblas-ci * import paddle.fluid
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- 02 4月, 2022 1 次提交
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由 xiongkun 提交于
* add yaml for ele_max ele_min * add yaml for: mish / logexpsum / expm1 / elemenwise_pow / elementwise_floordiv
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- 15 2月, 2020 1 次提交
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由 Steffy-zxf 提交于
* update ops's unittest of elementwise_pow, elementwise_max, elementwise_min, scale and sqrt 1. update elementwise_pow, elementwise_max and scale's unitests with input data type (float32 -> float64) 2. fix bug that the elementwise_pow doesn't meet threshold requirements with tackling float64 data 3. remove sqrt from op_accuracy_white_list.py 4. update the unittests of elementwise_pow, elementwise_max and elementwise_min ops that their input data shape over 100 5. test=develop * modify the writing style according suggestions test=develop
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- 07 1月, 2020 1 次提交
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由 zhupengyang 提交于
enhanced ops: conv2d, conv3d elementwise_pow: change to a reasonable shape
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- 06 1月, 2020 1 次提交
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由 chengjuntao 提交于
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- 18 12月, 2019 1 次提交
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由 juncaipeng 提交于
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- 16 12月, 2019 1 次提交
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由 Leo Chen 提交于
* fix elementwise_pow bug on integer, test=develop * use llrint to support elementwise_pow_grad, test=develop * add some tests, test=develop * revert grad functor, test=develop
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- 04 9月, 2019 1 次提交
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由 danleifeng 提交于
elementwise broadcast function enhancement
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- 30 7月, 2019 1 次提交
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由 danleifeng 提交于
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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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- 26 7月, 2018 2 次提交
- 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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- 12 2月, 2018 1 次提交
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由 qingqing01 提交于
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- 31 1月, 2018 1 次提交
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由 Qiao Longfei 提交于
* add basic interface for learning rate decay * add exponential_decay * add natural_exp_decay * add inverse_time_decay
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