wehub-resource-sync
56 lines
1.8 KiB
C++
56 lines
1.8 KiB
C++
// Copyright (c) 2024 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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#pragma once
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#include "paddle/phi/core/generator.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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static int get_seed(int user_seed,
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bool deterministic,
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const std::string& rng_name) {
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int seed = 0;
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if (!deterministic) {
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// NOTE: fixed seed should only be used in unittest or for debug.
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// Guarantee to use random seed in training.
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if (user_seed != 0) {
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seed = user_seed;
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} else {
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std::random_device rnd;
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seed = rnd();
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}
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} else {
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std::string name = rng_name;
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auto rng = GetRandomSeedGenerator(name);
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do { // NOTE(wangxi): cpu dropout will use random seed if seed == 0
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seed = static_cast<int>(rng->Random64());
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} while (seed == 0);
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}
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return seed;
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}
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template <typename T, typename Context>
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void CPUSeedKernel(const Context& dev_ctx,
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int seed,
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bool deterministic,
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const std::string& rng_name,
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bool force_cpu UNUSED,
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DenseTensor* out) {
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auto* out_data = dev_ctx.template Alloc<T>(out);
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out_data[0] = get_seed(seed, deterministic, rng_name);
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}
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} // namespace phi
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