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67 lines
2.1 KiB
67 lines
2.1 KiB
/* Copyright (c) 2020 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 <algorithm>
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#include <cstdlib>
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#include <ctime>
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#include <string>
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#include <vector>
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#include "paddle/fluid/framework/generator.h"
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#include "paddle/fluid/framework/operator.h"
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#include "paddle/fluid/framework/tensor_util.h"
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#include "paddle/fluid/platform/place.h"
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namespace paddle {
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namespace operators {
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template <typename T>
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static inline void random_permate(T* data_ptr, int num, unsigned int seed) {
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auto engine = framework::GetCPURandomEngine(seed);
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for (int i = 0; i < num; ++i) {
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data_ptr[i] = static_cast<T>(i);
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}
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std::shuffle(data_ptr, data_ptr + num, *engine);
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}
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template <typename DeviceContext, typename T>
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class RandpermKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override {
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int n = ctx.Attr<int>("n");
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unsigned int seed = static_cast<unsigned int>(ctx.Attr<int>("seed"));
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framework::Variable* out_var = ctx.OutputVar("Out");
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framework::Tensor* out_tensor =
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framework::GetMutableLoDTensorOrSelectedRowsValueFromVar(out_var);
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if (platform::is_cpu_place(ctx.GetPlace())) {
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T* out_data = out_tensor->mutable_data<T>(platform::CPUPlace());
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random_permate<T>(out_data, n, seed);
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} else {
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framework::Tensor tmp_tensor;
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tmp_tensor.Resize(framework::make_ddim({n}));
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T* tmp_data = tmp_tensor.mutable_data<T>(platform::CPUPlace());
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random_permate<T>(tmp_data, n, seed);
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framework::TensorCopy(tmp_tensor, platform::CUDAPlace(), out_tensor);
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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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