未验证 提交 f3e8c4be 编写于 作者: R RedContritio 提交者: GitHub

support auto generate static for tril_indices and triu_indices (#52537)

上级 e459ac03
/* 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. */
#include <memory>
#include "paddle/fluid/framework/infershape_utils.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/phi/core/infermeta_utils.h"
#include "paddle/phi/infermeta/nullary.h"
namespace paddle {
namespace operators {
class TrilIndicesOp : public framework::OperatorWithKernel {
public:
using framework::OperatorWithKernel::OperatorWithKernel;
protected:
phi::KernelKey GetExpectedKernelType(
const framework::ExecutionContext& ctx) const override {
return phi::KernelKey(
framework::proto::VarType::Type(ctx.Attr<int>("dtype")),
ctx.GetPlace());
}
};
class TrilIndicesOpMaker : public framework::OpProtoAndCheckerMaker {
public:
void Make() override {
AddOutput("out",
"Tensor, the output tensor, with the shape (2,x),x bounded by "
"[0,rows*cols])");
AddAttr<int>("rows",
"int number, the input of tril_indices op"
"which describes the number of row of the matrix")
.SetDefault(0);
AddAttr<int>("cols",
"int number, the input of tril_indices op"
"which describes the number of col of the matrix")
.SetDefault(0);
AddAttr<int>(
"offset",
"int number, the input of tril_indices op bounded by [1-rows,cols-1"
"which describes the dignalline index of the lower triangular part of "
"the matrix")
.SetDefault(0);
AddAttr<int>("dtype", "data type ,the input of tril_indices op")
.SetDefault(framework::proto::VarType::INT64);
AddComment(R"DOC(
TrilIndices Operator.
The tril_indices operator returns the indices of the lower triangular part of the matrix
whose rows and cols is knowed. It is a 2-by-x tensor,where the first row contains row coordinates
of all indices and the second row contains column coordinates. Indices are ordered based on
rows and then columns. The lower triangular part of the matrix is defined as the elements on
and below the diagonal.
The argument offset controls which diagonal to consider, default value is 0.
A positive valueincludes just as many diagonals above the main diagonal,
and similarly a negative value excludes just as many diagonals below the main diagonal
)DOC");
}
};
} // namespace operators
} // namespace paddle
namespace ops = paddle::operators;
DECLARE_INFER_SHAPE_FUNCTOR(tril_indices,
TrilIndicesInferShapeFunctor,
PD_INFER_META(phi::TrilIndicesInferMeta));
REGISTER_OPERATOR(
tril_indices,
ops::TrilIndicesOp,
ops::TrilIndicesOpMaker,
paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
TrilIndicesInferShapeFunctor);
/* 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. */
#include <memory>
#include "paddle/fluid/framework/infershape_utils.h"
#include "paddle/fluid/framework/op_registry.h"
#include "paddle/phi/core/infermeta_utils.h"
#include "paddle/phi/infermeta/nullary.h"
namespace paddle {
namespace operators {
class TriuIndicesOp : public framework::OperatorWithKernel {
public:
using framework::OperatorWithKernel::OperatorWithKernel;
protected:
phi::KernelKey GetExpectedKernelType(
const framework::ExecutionContext& ctx) const override {
return phi::KernelKey(
framework::proto::VarType::Type(ctx.Attr<int>("dtype")),
ctx.GetPlace());
}
};
class TriuIndicesOpMaker : public framework::OpProtoAndCheckerMaker {
public:
void Make() override {
AddOutput("out",
"Tensor, the output tensor, with the shape (2,x), x bounded by "
"[0,row*col])");
AddAttr<int>("row",
"int number, the input of triu_indices op"
"which describes the number of row of the matrix")
.SetDefault(0);
AddAttr<int>("col",
"int number, the input of triu_indices op"
"which describes the number of col of the matrix")
.SetDefault(0);
AddAttr<int>(
"offset",
"int number, the input of triu_indices op bounded by [1-rows,cols-1"
"which describes the dignalline index of the upper triangular part of "
"the matrix")
.SetDefault(0);
AddAttr<int>("dtype", "data type ,the input of triu_indices op")
.SetDefault(framework::proto::VarType::INT64);
AddComment(R"DOC(
TriuIndices Operator.
The triu_indices operator returns the indices of the upper triangular part of the matrix
whose rows and cols is known. It is a 2-by-x tensor, where the first row contains row coordinates
of all indices and the second row contains column coordinates. Indices are ordered based on
rows and then columns. The upper triangular part of the matrix is defined as the elements on
and below the diagonal.
The argument offset controls which diagonal to consider, default value is 0.
A positive value includes just as fewer diagonals above the main diagonal,
and similarly a negative value excludes just as fewer diagonals below the main diagonal
)DOC");
}
};
} // namespace operators
} // namespace paddle
namespace ops = paddle::operators;
DECLARE_INFER_SHAPE_FUNCTOR(triu_indices,
TriuIndicesInferShapeFunctor,
PD_INFER_META(phi::TriuIndicesInferMeta));
REGISTER_OPERATOR(
triu_indices,
ops::TriuIndicesOp,
ops::TriuIndicesOpMaker,
paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
TriuIndicesInferShapeFunctor);
......@@ -257,6 +257,28 @@
kernel :
func : share_buffer
- op : tril_indices
args : (int rows = 0, int cols = 0, int offset = 0, DataType dtype = DataType::INT64)
output : Tensor(out)
infer_meta :
func : TrilIndicesInferMeta
param : [rows, cols, offset, dtype]
kernel :
func : tril_indices
param : [rows, cols, offset, dtype]
data_type : dtype
- op : triu_indices
args : (int row = 0, int col = 0, int offset = 0, DataType dtype = DataType::INT64)
output : Tensor(out)
infer_meta :
func : TriuIndicesInferMeta
param : [row, col, offset, dtype]
kernel :
func : triu_indices
param : [row, col, offset, dtype]
data_type : dtype
- op : uniform
args : (IntArray shape = {}, DataType dtype = DataType::FLOAT32, Scalar min = -1.0f, Scalar max = 1.0f, int seed = 0, int diag_num = 0, int diag_step = 0, float diag_val = 1.0f)
output : Tensor(out)
......
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