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52 lines
1.7 KiB
52 lines
1.7 KiB
6 years ago
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/* Copyright (c) 2016 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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#pragma once
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#include <functional>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/operators/math/math_function.h"
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namespace paddle {
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namespace operators {
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template <typename T>
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class CPULinspaceKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& context) const override {
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T start = context.Input<framework::Tensor>("Start")->data<T>()[0];
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T stop = context.Input<framework::Tensor>("Stop")->data<T>()[0];
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int32_t num = context.Input<framework::Tensor>("Num")->data<int32_t>()[0];
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auto* out = context.Output<framework::Tensor>("Out");
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PADDLE_ENFORCE(num > 0, "The num of linspace op should be larger than 0.");
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out->Resize(framework::make_ddim({num}));
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T* out_data = out->mutable_data<T>(context.GetPlace());
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if (num > 1) {
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T step = (stop - start) / (num - 1);
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T value = start;
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for (int i = 0; i < num; ++i) {
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out_data[i] = value;
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value += step;
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}
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} else {
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out_data[0] = start;
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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