wehub-resource-sync
78 lines
3.0 KiB
C++
78 lines
3.0 KiB
C++
// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include <string>
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#include "paddle/fluid/framework/infershape_utils.h"
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/op_version_registry.h"
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#include "paddle/phi/core/infermeta_utils.h"
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#include "paddle/phi/infermeta/multiary.h"
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namespace paddle::operators {
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class LogspaceOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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protected:
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phi::KernelKey GetExpectedKernelType(
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const framework::ExecutionContext &ctx) const override {
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return phi::KernelKey(
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framework::proto::VarType::Type(ctx.Attr<int>("dtype")),
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ctx.GetPlace());
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}
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};
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class LogspaceOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("Start",
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"Exponent of first entry in the sequence. It is a tensor of "
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"shape [1], should be of type int32, int64, float32 or float64.");
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AddInput("Stop",
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"Exponent of last entry in the sequence. It is a tensor of "
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"shape [1], should be of type int32, int64, float32 or float64.");
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AddInput("Num",
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"Number of entry in the sequence. It is a tensor of shape [1], "
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"should be of type int32.");
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AddInput("Base",
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"Base of the logarithm function. It is a tensor of shape [1], "
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"should be of type int32, int64, float32 or float64.");
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AddAttr<int>("dtype", "The output data type.");
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AddOutput("Out", "A sequence of numbers.");
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AddComment(R"DOC(
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Return fixed number of logarithmically-evenly spaced values within a given
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interval. First entry is exponential of Start with base Base, and last
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entry is exponential of Stop with base Base. In the case when Num is 1,
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only exponential of Start with base Base is returned. If dtype is int32
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or int64, the decimal part of values will be truncated.
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Like logspace function of numpy.
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)DOC");
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}
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};
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} // namespace paddle::operators
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namespace ops = paddle::operators;
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DECLARE_INFER_SHAPE_FUNCTOR(logspace,
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LogspaceInferShapeFunctor,
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PD_INFER_META(phi::LogspaceInferMeta));
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REGISTER_OPERATOR(
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logspace,
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ops::LogspaceOp,
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ops::LogspaceOpMaker,
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paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
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paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>,
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LogspaceInferShapeFunctor);
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