Local response normalize. #4426
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paddle/operators/lrn_op.cc
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| public: | ||
| LRNOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker) | ||
| : OpProtoAndCheckerMaker(proto, op_checker) { | ||
| AddInput("X", "The first input of lrn op"); |
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Personally, I think only "the first/second input of X" is not a good comment.
#4314
fc op has a good comment style. https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/fc_op.cc#L123
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The comments still do not follow our comment style in our doc: https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/name_convention.md Please take fc_op as an example. |
paddle/operators/lrn_op.cc
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| PADDLE_ENFORCE_EQ(x_dim.size(), 4, "Input(X)'rank of LRNOp should be 4."); | ||
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| ctx.Output<Tensor>("Out")->Resize(x_dim); | ||
| ctx.Output<Tensor>("mid_out")->Resize(x_dim); |
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Need to update to the latest code.
paddle/operators/lrn_op.cc
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| )DOC"); | ||
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| AddOutput("Out", "(Tensor)The output of lrn op"); | ||
| AddOutput("mid_out", R"Doc( |
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Not follow the name convention.
paddle/operators/lrn_op.cc
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| : OpProtoAndCheckerMaker(proto, op_checker) { | ||
| AddInput("X", R"DOC( | ||
| (Tensor)Input of lrn op.It must be a 4 rank tenor with NCHW format. | ||
| )DOC"); |
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(Tensor) The input of LRN operator. It must be a 4D tenor with NCHW format.
paddle/operators/lrn_op.cc
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| (Tensor)Input of lrn op.It must be a 4 rank tenor with NCHW format. | ||
| )DOC"); | ||
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| AddOutput("Out", "(Tensor)The output of lrn op"); |
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(Tensor) The output of LRN operator, which is also the 4D tensor with NCHW format.
paddle/operators/lrn_op.cc
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| auto x_dims = ctx.Input<Tensor>("X")->dims(); | ||
| auto *x_g = ctx.Output<framework::Tensor>(framework::GradVarName("X")); | ||
| x_g->Resize(x_dims); |
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Need to update to the latest code.
| and also used in backward process. | ||
| )Doc"); | ||
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| AddAttr<int>("n", R"DOC( |
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这是公式里边的变量，是不是按照公式的来更好？
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| } | ||
| } | ||
| }; |
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GPU的实现， 最好复用kernel: https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/function/CrossMapNormalOpGpu.cu
现在这样的循环对于GPU来说效率低。
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我增加了一个ISSUE，并且写到了layer port中，新开PR解决这个问题吧！
#5066
paddle/operators/lrn_op.cc
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| .SetDefault(0.0001) | ||
| .GreaterThan(0.0); | ||
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| AddAttr<float>("beta", R"DOC( |
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alpha, beta, k这些float类型的参数，觉得最好也用模板来写，可以参考:https://github.com/PaddlePaddle/Paddle/blob/develop/paddle/operators/dropout_op.cc#L40
| self.check_output() | ||
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| def test_check_grad_normal(self): | ||
| self.check_grad(['X'], 'Out', max_relative_error=0.12) |
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如果max_relative_error 过大，可以尝试double测试~
… cross_map_norm
Fix #4425