57 lines
1.9 KiB
C++
57 lines
1.9 KiB
C++
/* Copyright (c) 2021 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 "paddle/phi/backends/gpu/gpu_context.h"
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#include "paddle/phi/common/place.h"
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#include "paddle/phi/core/generator.h"
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#include "paddle/phi/core/tensor_utils.h"
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namespace phi {
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namespace funcs {
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inline bool GetSeedDataAndIncrement(const GPUContext& dev_ctx,
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const DenseTensor* seed,
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const bool is_fix_seed,
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const int seed_val,
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const uint64_t offset,
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uint64_t* seed_data,
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uint64_t* increment,
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bool use_copy = true) {
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auto gen_cuda = dev_ctx.GetGenerator();
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if (seed) {
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if (use_copy) {
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DenseTensor seed_cpu_tensor;
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phi::Copy(dev_ctx, *seed, CPUPlace(), true, &seed_cpu_tensor);
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*seed_data = static_cast<uint64_t>(seed_cpu_tensor.data<int>()[0]);
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}
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*increment = offset;
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return true;
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} else if (!is_fix_seed) {
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auto seed_offset = gen_cuda->IncrementOffset(offset);
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*seed_data = seed_offset.first;
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*increment = seed_offset.second;
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return false;
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} else {
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*seed_data = seed_val;
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*increment = offset;
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return false;
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}
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}
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} // namespace funcs
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} // namespace phi
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