chore: import upstream snapshot with attribution
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// Copyright (c) 2025 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/random_kernel.h"
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#include <random>
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/distribution_helper.h"
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namespace phi {
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template <typename T, typename Context>
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void RandomKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int64_t from,
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int64_t to,
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DenseTensor* out) {
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out->Resize(x.dims());
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T* data = dev_ctx.template Alloc<T>(out);
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int64_t size = out->numel();
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std::shared_ptr<std::mt19937_64> engine =
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dev_ctx.GetGenerator()->GetCPUEngine();
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if constexpr (std::is_floating_point<T>::value ||
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std::is_same<T, float16>::value ||
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std::is_same<T, bfloat16>::value) {
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from = update_from<T>(from);
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to = update_to<T>(to);
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PADDLE_ENFORCE_LT(from,
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to,
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common::errors::InvalidArgument(
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"random expects 'from' casted to dtype to be less "
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"than 'to' casted to dtype, but got from=%d >= to=%d",
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from,
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to));
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}
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uint64_t range = static_cast<uint64_t>(to) - static_cast<uint64_t>(from);
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if (range >= 1ULL << 28) {
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funcs::uniform_int_from_to_distribution<T, uint64_t> random(range, from);
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for (int64_t i = 0; i < size; ++i) {
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data[i] = random(engine->operator()());
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}
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} else {
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funcs::uniform_int_from_to_distribution<T, uint32_t> random(range, from);
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for (int64_t i = 0; i < size; ++i) {
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data[i] = random(static_cast<uint32_t>(engine->operator()()));
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}
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(random,
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CPU,
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ALL_LAYOUT,
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phi::RandomKernel,
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int,
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int64_t,
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float,
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double,
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phi::float16,
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phi::bfloat16) {}
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