- 01 4月, 2017 1 次提交
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由 qiaolongfei 提交于
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- 27 2月, 2017 1 次提交
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由 Yu Yang 提交于
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- 24 2月, 2017 1 次提交
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由 qiaolongfei 提交于
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- 23 2月, 2017 1 次提交
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由 dangqingqing 提交于
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- 18 2月, 2017 1 次提交
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由 Helin Wang 提交于
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- 23 1月, 2017 1 次提交
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由 qiaolongfei 提交于
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- 05 1月, 2017 2 次提交
- 27 12月, 2016 1 次提交
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由 liaogang 提交于
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- 20 9月, 2016 1 次提交
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由 Yu Yang 提交于
* min_pool_size would be infinite by default. * add unittest for min_pool_size * Fix bug in can_over_batch_size * add unittest for can_over_batch_size * Add DEFINE_PROVIDER_EX * Add default value of should_shuffle * When training, the default value of should_shuffle is True. * When testing, the default value of should_shuffle is False. * User a set a provider should_shuffle or not by pass it to `@provider` * should_shuffle can handle a list of value, not just boolean * Add input order mapping by using name * Add unittest * Add check to check input format. * Default is close for speed reason. * User could stop train when check error, or continue train without this train sample. * use deque instead of vector in generators pool, make erase generator faster. * Add chinese/english documentation * Make should shuffle = false in unittest * Add python files to depends.
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- 14 9月, 2016 1 次提交
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由 xuwei06 提交于
Change cos_sim to use CosSimLayer layer when size=1 and rename convex_comb_layer to linear_comb_layer Also add an unittest for layers.py, currently for a few things. More need to be added later.
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- 09 9月, 2016 1 次提交
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由 Yu Yang 提交于
* install wheels when invoke paddle script if current python don't have paddle packages, or installed a previous version. * Also add `make install` to travis
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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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