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85 lines
3.3 KiB
85 lines
3.3 KiB
/* Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 "paddle/fluid/operators/linspace_op.h"
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namespace paddle {
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namespace operators {
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class LinspaceOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext* ctx) const override {
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PADDLE_ENFORCE(ctx->HasInput("Start"),
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"Input(Start) of LinspaceOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput("Stop"),
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"Input(Stop) of LinspaceOp should not be null.");
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PADDLE_ENFORCE(ctx->HasInput("Num"),
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"Input(Num) of LinspaceOp should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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"Output(OUt) of LinspaceOp should not be null.");
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auto s_dims = ctx->GetInputDim("Start");
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PADDLE_ENFORCE((s_dims.size() == 1) && (s_dims[0] == 1),
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"The shape of Input(Start) should be [1].");
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auto e_dims = ctx->GetInputDim("Stop");
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PADDLE_ENFORCE((e_dims.size() == 1) && (e_dims[0] == 1),
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"The shape of Input(Stop) should be [1].");
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auto step_dims = ctx->GetInputDim("Num");
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PADDLE_ENFORCE((step_dims.size() == 1) && (step_dims[0] == 1),
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"The shape of Input(Num) should be [1].");
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ctx->SetOutputDim("Out", {-1});
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}
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protected:
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framework::OpKernelType GetExpectedKernelType(
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const framework::ExecutionContext& ctx) const override {
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framework::LibraryType library_{framework::LibraryType::kPlain};
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framework::DataLayout layout_ = framework::DataLayout::kAnyLayout;
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return framework::OpKernelType(
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ctx.Input<framework::Tensor>("Start")->type(), ctx.device_context(),
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layout_, library_);
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}
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};
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class LinspaceOpMaker : 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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"First entry in the sequence. It is a tensor of shape [1], should "
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"be of type float32 or float64.");
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AddInput("Stop",
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"Last entry in the sequence. It is a tensor of shape [1], should "
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"be of type 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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AddOutput("Out", "A sequence of numbers.");
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AddComment(R"DOC(
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Return fixed number of evenly spaced values within a given interval. First entry is start, and last entry is stop. In the case when Num is 1, only Start is returned. Like linspace function of numpy.
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OP_WITHOUT_GRADIENT(linspace, ops::LinspaceOp, ops::LinspaceOpMaker);
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REGISTER_OP_CPU_KERNEL(linspace, ops::CPULinspaceKernel<float>,
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ops::CPULinspaceKernel<double>);
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