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Merge pull request #4 from spantarXP/paddlebox_fp16
padding and cast in fp16 op
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/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved. | ||
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. */ | ||
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#include "paddle/fluid/operators/scaled_fc_op.h" | ||
#include <string> | ||
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namespace paddle { | ||
namespace operators { | ||
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class ScaledFCOp : public framework::OperatorWithKernel { | ||
public: | ||
using framework::OperatorWithKernel::OperatorWithKernel; | ||
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void InferShape(framework::InferShapeContext* ctx) const override { | ||
OP_INOUT_CHECK(ctx->HasInput("Input"), "Input", "Input", "ScaledFCOp"); | ||
OP_INOUT_CHECK(ctx->HasInput("W"), "Input", "W", "ScaledFCOp"); | ||
OP_INOUT_CHECK(ctx->HasInput("Bias"), "Input", "Bias", "ScaledFCOp"); | ||
OP_INOUT_CHECK(ctx->HasOutput("Out"), "Output", "Out", "ScaledFCOp"); | ||
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auto input_dims = ctx->GetInputDim("Input"); | ||
auto w_dims = ctx->GetInputDim("W"); | ||
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int feature_dim = input_dims[1]; | ||
PADDLE_ENFORCE_EQ(feature_dim, w_dims[0], | ||
platform::errors::InvalidArgument( | ||
"Input.dim[1] and W.dim[0] of ScaledFCOp " | ||
"should be same.")); | ||
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auto bias_dims = ctx->GetInputDim("Bias"); | ||
//PADDLE_ENFORCE_EQ(bias_dims[1], w_dims[1], | ||
// platform::errors::InvalidArgument( | ||
// "Bias.dim[1] should be same as W.dim[1].")); | ||
PADDLE_ENFORCE_EQ(bias_dims[0], w_dims[1], | ||
platform::errors::InvalidArgument( | ||
"Bias.dim[1] should be same as W.dim[1].")); | ||
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ctx->SetOutputDim("Out", {input_dims[0], w_dims[1]}); | ||
ctx->ShareLoD("Input", /*->*/ "Out"); | ||
} | ||
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protected: | ||
framework::OpKernelType GetExpectedKernelType( | ||
const framework::ExecutionContext& ctx) const override { | ||
return framework::OpKernelType( | ||
OperatorWithKernel::IndicateVarDataType(ctx, "Input"), | ||
ctx.device_context()); | ||
} | ||
}; | ||
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class ScaledFCGradOp : public framework::OperatorWithKernel { | ||
public: | ||
using framework::OperatorWithKernel::OperatorWithKernel; | ||
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void InferShape(framework::InferShapeContext* ctx) const override { | ||
PADDLE_ENFORCE_EQ( | ||
ctx->HasInput("Input"), true, | ||
platform::errors::InvalidArgument("Input should not be null")); | ||
PADDLE_ENFORCE_EQ( | ||
ctx->HasInput("W"), true, | ||
platform::errors::InvalidArgument("Input(W) should not be null")); | ||
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ctx->SetOutputDim(framework::GradVarName("Input"), | ||
ctx->GetInputDim("Input")); | ||
ctx->SetOutputDim(framework::GradVarName("W"), ctx->GetInputDim("W")); | ||
ctx->SetOutputDim(framework::GradVarName("Bias"), ctx->GetInputDim("Bias")); | ||
} | ||
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protected: | ||
framework::OpKernelType GetExpectedKernelType( | ||
const framework::ExecutionContext& ctx) const override { | ||
return framework::OpKernelType(OperatorWithKernel::IndicateVarDataType( | ||
ctx, framework::GradVarName("Out")), | ||
ctx.device_context()); | ||
} | ||
}; | ||
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class ScaledFCOpMaker : public framework::OpProtoAndCheckerMaker { | ||
public: | ||
void Make() override { | ||
AddInput("Input", "(Tensor) Input tensor of scaled_fc_op operator."); | ||
AddInput("W", "(Tensor) Input tensor of scaled_fc_op operator."); | ||
AddInput("Bias", "(Tensor) Input tensor of scaled_fc_op operator."); | ||
AddAttr<float>("input_scale_factor", "(float) the scale factor of input tensor"); | ||
AddAttr<float>("bias_scale_factor", "(float) the scale factor of bias tensor"); | ||
AddAttr<float>("grad_scale_factor", "(float) the scale factor of gradient tensor"); | ||
AddOutput("Out", "Output tensor of scaled_fc_op operator."); | ||
AddComment(R"DOC( | ||
ScaledFC Operator. | ||
Notice: It currently supports GPU device. | ||
This Op exists in contrib, which means that it is not shown to the public. | ||
)DOC"); | ||
} | ||
}; | ||
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template <typename T> | ||
class ScaledFCGradOpMaker : public framework::SingleGradOpMaker<T> { | ||
public: | ||
using framework::SingleGradOpMaker<T>::SingleGradOpMaker; | ||
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protected: | ||
void Apply(GradOpPtr<T> op) const override { | ||
op->SetType("scaled_fc_grad"); | ||
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op->SetInput("Input", this->Input("Input")); | ||
op->SetInput("W", this->Input("W")); | ||
op->SetInput("Bias", this->Input("Bias")); | ||
op->SetInput(framework::GradVarName("Out"), this->OutputGrad("Out")); | ||
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op->SetOutput(framework::GradVarName("Input"), this->InputGrad("Input")); | ||
op->SetOutput(framework::GradVarName("W"), this->InputGrad("W")); | ||
op->SetOutput(framework::GradVarName("Bias"), this->InputGrad("Bias")); | ||
op->SetAttrMap(this->Attrs()); | ||
} | ||
}; | ||
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} // namespace operators | ||
} // namespace paddle | ||
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namespace ops = paddle::operators; | ||
//REGISTER_OPERATOR(scaled_fc, ops::ScaledFCOp, ops::ScaledFCOpMaker); | ||
REGISTER_OPERATOR(scaled_fc, ops::ScaledFCOp, ops::ScaledFCOpMaker, | ||
ops::ScaledFCGradOpMaker<paddle::framework::OpDesc>, | ||
ops::ScaledFCGradOpMaker<paddle::imperative::OpBase>); | ||
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REGISTER_OPERATOR(scaled_fc_grad, ops::ScaledFCGradOp); | ||
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REGISTER_OP_CPU_KERNEL( | ||
scaled_fc, ops::ScaledFCKernel<paddle::platform::CPUDeviceContext, float>, | ||
ops::ScaledFCKernel<paddle::platform::CPUDeviceContext, double>); |
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