提交 652f182d 编写于 作者: Z zchen0211

deconv

上级 da399ae6
......@@ -12,17 +12,13 @@
See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/operators/gemm_conv2d_op.h"
#include "paddle/operators/deconv2d_op.h"
#include "paddle/operators/conv2d_op.h"
namespace paddle {
namespace operators {
class Deconv2DOp : public framework::OperatorWithKernel {
public:
using framework::OperatorWithKernel::OperatorWithKernel;
protected:
void InferShape(framework::InferShapeContext* ctx) const override {
void Deconv2DOp::InferShape(framework::InferShapeContext* ctx) const {
PADDLE_ENFORCE(ctx->HasInput("Input"),
"Input(Input) of Deconv2DOp should not be null.");
PADDLE_ENFORCE(ctx->HasInput("Filter"),
......@@ -49,14 +45,11 @@ class Deconv2DOp : public framework::OperatorWithKernel {
auto output_height = (in_dims[2] - 1) * strides[0] + filter_dims[2];
auto output_width = (in_dims[3] - 1) * strides[1] + filter_dims[3];
ctx->SetOutputDim(
"Output", {in_dims[0], filter_dims[0], output_height, output_width});
}
};
ctx->SetOutputDim("Output",
{in_dims[0], filter_dims[0], output_height, output_width});
}
class Deconv2DOpMaker : public framework::OpProtoAndCheckerMaker {
public:
Deconv2DOpMaker(framework::OpProto* proto,
Deconv2DOpMaker::Deconv2DOpMaker(framework::OpProto* proto,
framework::OpAttrChecker* op_checker)
: OpProtoAndCheckerMaker(proto, op_checker) {
AddInput(
......@@ -64,14 +57,13 @@ class Deconv2DOpMaker : public framework::OpProtoAndCheckerMaker {
"The input tensor of deconvolution operator. "
"The format of input tensor is NCHW. Where N is batch size, C is the "
"number of channels, H and W is the height and width of image.");
AddInput(
"Filter",
AddInput("Filter",
"The filter tensor of deconvolution operator."
"The format of the filter tensor is MCHW, where M is the number of "
"output image channels, C is the number of input image channels, "
"H and W is height and width of filter. "
"We enforce groups number == 1 and padding == 0 in our deconvolution
Scenario.");
"We enforce groups number == 1 and padding == 0 in our "
"deconvolution Scenario.");
AddOutput("Output",
"The output tensor of deconvolution operator."
"The format of output tensor is also NCHW.");
......@@ -84,15 +76,9 @@ The deconvolution operation calculates the output based on the input, filter
and strides, paddings, groups parameters. The size of each dimension of the
parameters is checked in the infer-shape.
)DOC");
}
};
class Deconv2DOpGrad : public framework::OperatorWithKernel {
public:
using framework::OperatorWithKernel::OperatorWithKernel;
}
protected:
void InferShape(framework::InferShapeContext* ctx) const override {
void Deconv2DOpGrad::InferShape(framework::InferShapeContext* ctx) const {
auto in_dims = ctx->GetInputDim("Input");
auto filter_dims = ctx->GetInputDim("Filter");
if (ctx->HasOutput(framework::GradVarName("Input"))) {
......@@ -101,8 +87,7 @@ class Deconv2DOpGrad : public framework::OperatorWithKernel {
if (ctx->HasOutput(framework::GradVarName("Filter"))) {
ctx->SetOutputDim(framework::GradVarName("Filter"), filter_dims);
}
}
};
}
} // namespace operators
} // namespace paddle
......
/* Copyright (c) 2016 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/operators/conv2d_op.h"
#include "paddle/operators/deconv2d_op.h"
namespace ops = paddle::operators;
REGISTER_OP_GPU_KERNEL(
deconv2d, ops::GemmConvGrad2DKernel<paddle::platform::GPUPlace, float>);
REGISTER_OP_GPU_KERNEL(
deconv2d_grad, ops::GemmConv2DKernel<paddle::platform::GPUPlace, float>);
/* Copyright (c) 2016 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. */
#pragma once
#include "paddle/framework/eigen.h"
#include "paddle/framework/op_registry.h"
#include "paddle/operators/math/im2col.h"
#include "paddle/operators/math/math_function.h"
namespace paddle {
namespace operators {
using Tensor = framework::Tensor;
// Define Op classes in .h file so that other deconv
// operator implementations can reuse the code.
class Deconv2DOpMaker : public framework::OpProtoAndCheckerMaker {
public:
Deconv2DOpMaker(framework::OpProto* proto,
framework::OpAttrChecker* op_checker);
};
class Deconv2DOp : public framework::OperatorWithKernel {
public:
using framework::OperatorWithKernel::OperatorWithKernel;
protected:
void InferShape(framework::InferShapeContext* ctx) const override;
};
class Deconv2DOpGrad : public framework::OperatorWithKernel {
public:
using framework::OperatorWithKernel::OperatorWithKernel;
protected:
void InferShape(framework::InferShapeContext* ctx) const override;
};
} // namespace operators
} // namespace paddle
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