wehub-resource-sync
59 lines
2.2 KiB
Plaintext
59 lines
2.2 KiB
Plaintext
// 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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#include "paddle/phi/kernels/gpu/seed_kernel.h"
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#include "paddle/phi/backends/context_pool.h"
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#include "paddle/phi/backends/gpu/cuda/cuda_graph_with_memory_pool.h"
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#include "paddle/phi/common/memory_utils.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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#include "paddle/phi/kernels/impl/seed_kernel_impl.h"
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namespace phi {
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template <typename T, typename Context>
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void GPUSeedKernel(const Context &dev_ctx,
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int seed_in,
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bool deterministic,
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const std::string &rng_name,
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bool force_cpu,
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DenseTensor *out) {
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int seed = get_seed(seed_in, deterministic, rng_name);
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bool cpu_place = force_cpu || dev_ctx.GetPlace() == CPUPlace();
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if (cpu_place) {
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DeviceContextPool &pool = DeviceContextPool::Instance();
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auto &dev_ctx_cpu = *pool.Get(CPUPlace());
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dev_ctx_cpu.Alloc<T>(out);
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funcs::SetConstant<CPUContext, T> functor;
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functor(reinterpret_cast<const CPUContext &>(dev_ctx_cpu),
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out,
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static_cast<T>(seed));
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} else {
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auto *out_data = dev_ctx.template Alloc<T>(out);
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auto stream = dev_ctx.stream();
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const int *stable_seed =
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backends::gpu::RestoreHostMemIfCapturingCUDAGraph(&seed, 1);
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phi::memory_utils::Copy(dev_ctx.GetPlace(),
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out_data,
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CPUPlace(),
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stable_seed,
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sizeof(int),
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stream);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(seed, GPU, ALL_LAYOUT, phi::GPUSeedKernel, int) {}
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