forked from PaddlePaddle/Paddle
-
Notifications
You must be signed in to change notification settings - Fork 0
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Co-authored-by: root <[email protected]>
- Loading branch information
Showing
9 changed files
with
464 additions
and
3 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,179 @@ | ||
| /* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserve. | ||
| Licensed under the Apache License, Version 2.0 (the "License"); | ||
| you may not use this file except in compliance with the License. | ||
| You may obtain a copy of the License at | ||
| http://www.apache.org/licenses/LICENSE-2.0 | ||
| Unless required by applicable law or agreed to in writing, software | ||
| distributed under the License is distributed on an "AS IS" BASIS, | ||
| WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
| See the License for the specific language governing permissions and | ||
| limitations under the License. */ | ||
|
|
||
| #include "paddle/fluid/operators/unzip_op.h" | ||
|
|
||
| #include <memory> | ||
|
|
||
| #include "paddle/phi/kernels/funcs/math_function.h" | ||
|
|
||
| namespace paddle { | ||
| namespace operators { | ||
|
|
||
| using Tensor = framework::Tensor; | ||
|
|
||
| class unzipOp : public framework::OperatorWithKernel { | ||
| public: | ||
| using framework::OperatorWithKernel::OperatorWithKernel; | ||
|
|
||
| void InferShape(framework::InferShapeContext* ctx) const override { | ||
| OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "lod"); | ||
| OP_INOUT_CHECK(ctx->HasOutput("Y"), "Output", "Y", "lod"); | ||
|
|
||
| auto x_dims = ctx->GetInputDim("X"); | ||
| PADDLE_ENFORCE_EQ( | ||
| x_dims.size(), | ||
| 2UL, | ||
| platform::errors::InvalidArgument( | ||
| "Input(X)'s rank should be 2, but got %d", x_dims.size())); | ||
|
|
||
| auto lod_dims = ctx->GetInputDim("lod"); | ||
| PADDLE_ENFORCE_EQ( | ||
| lod_dims.size(), | ||
| 1UL, | ||
| platform::errors::InvalidArgument( | ||
| "Input(X)'s rank should be 1, but got %d", lod_dims.size())); | ||
|
|
||
| ctx->SetOutputDim("Y", {lod_dims[0] - 1, x_dims[1]}); | ||
| } | ||
|
|
||
| protected: | ||
| // Explicitly set that the data type of computation kernel of | ||
| // unzip | ||
| // is determined by its input "X". | ||
| framework::OpKernelType GetExpectedKernelType( | ||
| const framework::ExecutionContext& ctx) const override { | ||
| return framework::OpKernelType( | ||
| OperatorWithKernel::IndicateVarDataType(ctx, "X"), | ||
| ctx.device_context()); | ||
| } | ||
| }; | ||
|
|
||
| class unzipGradientOp : public framework::OperatorWithKernel { | ||
| public: | ||
| using framework::OperatorWithKernel::OperatorWithKernel; | ||
|
|
||
| void InferShape(framework::InferShapeContext* ctx) const override { | ||
| OP_INOUT_CHECK(ctx->HasInput("X"), "Input", "X", "unzipGradient"); | ||
| OP_INOUT_CHECK(ctx->HasInput("lod"), "Input", "unzip", "unzipGradient"); | ||
| OP_INOUT_CHECK(ctx->HasInput(framework::GradVarName("Y")), | ||
| "Input", | ||
| framework::GradVarName("Y"), | ||
| "unzipGradient"); | ||
| OP_INOUT_CHECK(ctx->HasOutput(framework::GradVarName("X")), | ||
| "Output", | ||
| framework::GradVarName("X"), | ||
| "unzipGradient"); | ||
|
|
||
| auto x_dims = ctx->GetInputDim("X"); | ||
| auto lod_dims = ctx->GetInputDim("lod"); | ||
| auto dy_dims = ctx->GetInputDim(framework::GradVarName("Y")); | ||
| PADDLE_ENFORCE_EQ( | ||
| x_dims.size(), | ||
| 2, | ||
| platform::errors::InvalidArgument( | ||
| "Expect Input(X)'s rank == 2, but got %d", x_dims.size())); | ||
| PADDLE_ENFORCE_EQ( | ||
| dy_dims.size(), | ||
| 2, | ||
| platform::errors::InvalidArgument( | ||
| "Expect Input(X)'s rank == 2, but got %d", dy_dims.size())); | ||
| PADDLE_ENFORCE_EQ( | ||
| lod_dims.size(), | ||
| 1, | ||
| platform::errors::InvalidArgument( | ||
| "Expect Input(X)'s rank == 1, but got %d", lod_dims.size())); | ||
|
|
||
| PADDLE_ENFORCE_EQ( | ||
| x_dims[1], | ||
| dy_dims[1], | ||
| platform::errors::InvalidArgument( | ||
| "The 1st dimension of Input(X) and Input(Y@Grad) should " | ||
| "be equal, X is %d, Y@Grad is %d", | ||
| x_dims[1], | ||
| dy_dims[1])); | ||
|
|
||
| ctx->SetOutputDim(framework::GradVarName("X"), x_dims); | ||
| ctx->ShareLoD("X", framework::GradVarName("X")); | ||
| } | ||
|
|
||
| protected: | ||
| // Explicitly set that the data type of computation kernel of | ||
| // unzip | ||
| // is determined by its input "X". | ||
| framework::OpKernelType GetExpectedKernelType( | ||
| const framework::ExecutionContext& ctx) const override { | ||
| return framework::OpKernelType(OperatorWithKernel::IndicateVarDataType( | ||
| ctx, framework::GradVarName("Y")), | ||
| ctx.device_context()); | ||
| } | ||
| }; | ||
|
|
||
| class unzipOpMaker : public framework::OpProtoAndCheckerMaker { | ||
| public: | ||
| void Make() override { | ||
| AddInput("X", | ||
| "(LodTensor, default LodTensor<float>), a 2-D tensor with shape " | ||
| "[M x N]," | ||
| " where N is the batch size and D is the emebdding dim. "); | ||
| AddInput("lod", | ||
| "(Tensor), a 1-D Tensor with shape [K]"); | ||
| AddOutput("Y", | ||
| "(LodTensor, default LodTensor<float>), a 2-D tensor with shape " | ||
| "[K-1 x N]."); | ||
| AddComment(R"DOC( | ||
| unzip Operator. | ||
| )DOC"); | ||
| } | ||
| }; | ||
|
|
||
| template <typename T> | ||
| class unzipGradOpMaker : public framework::SingleGradOpMaker<T> { | ||
| public: | ||
| using framework::SingleGradOpMaker<T>::SingleGradOpMaker; | ||
|
|
||
| protected: | ||
| void Apply(GradOpPtr<T> op) const override { | ||
| op->SetType("unzip_grad"); | ||
| op->SetInput("X", this->Input("X")); | ||
| op->SetInput("lod", this->Input("lod")); | ||
| op->SetInput(framework::GradVarName("Y"), this->OutputGrad("Y")); | ||
| op->SetOutput(framework::GradVarName("X"), this->InputGrad("X")); | ||
| op->SetAttrMap(this->Attrs()); | ||
| } | ||
| }; | ||
|
|
||
| DECLARE_NO_NEED_BUFFER_VARS_INFERER(unzipNoNeedBufferVarInferer, "lod"); | ||
| DECLARE_NO_NEED_BUFFER_VARS_INFERER(unzipGradNoNeedBufferVarInferer, "X"); | ||
|
|
||
| } // namespace operators | ||
| } // namespace paddle | ||
|
|
||
| namespace ops = paddle::operators; | ||
| REGISTER_OPERATOR(unzip, | ||
| ops::unzipOp, | ||
| ops::unzipOpMaker, | ||
| ops::unzipGradOpMaker<paddle::framework::OpDesc>, | ||
| ops::unzipGradOpMaker<paddle::imperative::OpBase>, | ||
| ops::unzipNoNeedBufferVarInferer); | ||
|
|
||
| REGISTER_OPERATOR(unzip_grad, | ||
| ops::unzipGradientOp, | ||
| ops::unzipGradNoNeedBufferVarInferer); | ||
|
|
||
| REGISTER_OP_CPU_KERNEL(unzip, ops::unzipOpKernel<int64_t>, ops::unzipOpKernel<int64_t>); | ||
|
|
||
| REGISTER_OP_CPU_KERNEL(unzip_grad, | ||
| ops::unzipGradOpKernel<int64_t>, | ||
| ops::unzipGradOpKernel<int64_t>); |
Oops, something went wrong.