[JitLayer]Pybind JitLayer VarBase Function and add python UT #44010
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added 7 commits
July 1, 2022 07:52
… pybind-jit-layer
Aurelius84
reviewed
Jul 4, 2022
Aurelius84
reviewed
Jul 7, 2022
paddle/fluid/jit/compilation_unit.cc
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| } | ||
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| const FunctionMap &CompilationUnit::FunctionDict() const { | ||
| return function_dict_; |
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function_dict_ 不是一个合适的命名，因为dict是python的概念。C++里是map，下个PR可以考虑优化下
paddle/fluid/jit/compilation_unit.h
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| @@ -32,8 +34,12 @@ class CompilationUnit { | |||
| void SetFunction(const std::string &name, | |||
| const std::shared_ptr<BaseFunction> &function); | |||
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| std::vector<std::string> FunctionNames() const; | |||
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| const FunctionMap &FunctionDict() const; | |||
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同上，这里的FunctionDict也不是一个好的API名
paddle/fluid/pybind/pybind.cc
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| #include "paddle/phi/core/compat/convert_utils.h" | ||
| #include "paddle/phi/core/lod_utils.h" | ||
| #include "paddle/utils/none.h" | ||
| #ifdef PADDLE_WITH_ASCEND | ||
| #include "paddle/fluid/pybind/ascend_wrapper_py.h" | ||
| #endif | ||
| #include "paddle/fluid/jit/executor_function.h" | ||
| #include "paddle/fluid/jit/layer.h" | ||
| #include "paddle/fluid/jit/serializer.h" |
python/paddle/jit/layer.py
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| from paddle.fluid.core import Load | ||
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| class Layer(): |
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Suggested change
| class Layer(): | |
| class Layer: | |
| 或者 | |
| class Layer(object) |
python/paddle/jit/layer.py
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| def __init__(self): | ||
| self.cpp_layer = None | ||
| # {name: Function} | ||
| self.funciton_map = {} |
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| self.funciton_map = {} | |
| self.functions = {} |
有单词拼写错误，另外这里的dict需要使用WeakRef么？
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这里应该不需要WeakRef吧，funciton_map 持有的python端的 Function: self.funciton_map[name] = Function(function)。其余的意见已经修改，感谢
python/paddle/jit/layer.py
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| for name, function in function_dict.items(): | ||
| self.funciton_map[name] = Function(function) | ||
| setattr(self, name, self.funciton_map[name].__call__) |
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Suggested change
| setattr(self, name, self.funciton_map[name].__call__) | |
| setattr(self, name, self.funciton_map[name]) |
是不是不需要设置__call__，直接setattr对应的Function即可？
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[JitLayer]Pybind JitLayer VarBase Function and add python UT