- 24 2月, 2018 1 次提交
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由 Luo Tao 提交于
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- 06 1月, 2018 1 次提交
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由 tensor-tang 提交于
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- 08 12月, 2017 2 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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- 14 11月, 2017 1 次提交
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由 Qiao Longfei 提交于
* init commit * change some dir name
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- 06 11月, 2017 1 次提交
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由 typhoonzero 提交于
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- 15 8月, 2017 1 次提交
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由 tensor-tang 提交于
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- 13 8月, 2017 1 次提交
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由 tensor-tang 提交于
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- 10 8月, 2017 3 次提交
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由 qiaolongfei 提交于
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由 qiaolongfei 提交于
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由 liaogang 提交于
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- 09 8月, 2017 1 次提交
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由 qiaolongfei 提交于
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- 07 8月, 2017 1 次提交
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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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- 11 7月, 2017 1 次提交
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由 Yu Yang 提交于
* Expose paddle.framework by pybind11 * Export paddle.framework.{Scope, Variable} to paddle.v2.framework.core. * See python/paddle/v2/framework/tests/test_scope.py for Python usage * See paddle/pybind/pybind.cc for C++ bind code. * add copyright
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- 07 7月, 2017 1 次提交
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由 gongweibao 提交于
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- 06 7月, 2017 3 次提交
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由 gongweibao 提交于
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由 gongweibao 提交于
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由 Yu Yang 提交于
Python should be able to manipulate Protobuf message because: 1. Python's `create_op_creation_methods` take the `OpProto` array to generate all `op_creation_methods` in RunTime. 2. All `op_creation_methods` will create an `OpDesc` and pass it to Paddle C++ method `CreateOp` and return the Op handle. Here is the list of what is added in this commit: * Add `protobuf_generate_python` if it is not defined. * Before cmake 3.4, `protobuf_generate_python` is not defined. Just copy the implementation of that function in `protobuf.cmake` * Add `py_proto_compile` function in `cmake/generic.cmake`. * It follows bazel's API interface. * https://github.com/pubref/rules_protobuf#rules * Add an empty package named `paddle.v2.framework`, all python code of `paddle::framework` will be in that package. * Generate protobuf's python module `__init__.py` by `touch` while compiling. * Change setup.py.in, make `paddle.v2.framework.proto` uses the generated protobuf pythons.
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- 30 6月, 2017 2 次提交
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由 dongzhihong 提交于
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由 Helin Wang 提交于
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- 20 6月, 2017 1 次提交
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由 qiaolongfei 提交于
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- 17 6月, 2017 2 次提交
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由 Helin Wang 提交于
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由 Helin Wang 提交于
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- 26 5月, 2017 1 次提交
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由 Yu Yang 提交于
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- 25 5月, 2017 1 次提交
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- 27 4月, 2017 2 次提交
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由 Yu Yang 提交于
* When SWIG_PY is not enabled, paddle.v2 package cannot be used. * When PYTHON is not enabled, PyDataProvider cannot be used. Fix issue #1920
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由 Yu Yang 提交于
* When SWIG_PY is not enabled, paddle.v2 package cannot be used. * When PYTHON is not enabled, PyDataProvider cannot be used. Fix issue #1920
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- 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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