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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
#include "paddle/phi/kernels/random_kernel.h"
#include <random>
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/distribution_helper.h"
namespace phi {
template <typename T, typename Context>
void RandomKernel(const Context& dev_ctx,
const DenseTensor& x,
int64_t from,
int64_t to,
DenseTensor* out) {
out->Resize(x.dims());
T* data = dev_ctx.template Alloc<T>(out);
int64_t size = out->numel();
std::shared_ptr<std::mt19937_64> engine =
dev_ctx.GetGenerator()->GetCPUEngine();
if constexpr (std::is_floating_point<T>::value ||
std::is_same<T, float16>::value ||
std::is_same<T, bfloat16>::value) {
from = update_from<T>(from);
to = update_to<T>(to);
PADDLE_ENFORCE_LT(from,
to,
common::errors::InvalidArgument(
"random expects 'from' casted to dtype to be less "
"than 'to' casted to dtype, but got from=%d >= to=%d",
from,
to));
}
uint64_t range = static_cast<uint64_t>(to) - static_cast<uint64_t>(from);
if (range >= 1ULL << 28) {
funcs::uniform_int_from_to_distribution<T, uint64_t> random(range, from);
for (int64_t i = 0; i < size; ++i) {
data[i] = random(engine->operator()());
}
} else {
funcs::uniform_int_from_to_distribution<T, uint32_t> random(range, from);
for (int64_t i = 0; i < size; ++i) {
data[i] = random(static_cast<uint32_t>(engine->operator()()));
}
}
}
} // namespace phi
PD_REGISTER_KERNEL(random,
CPU,
ALL_LAYOUT,
phi::RandomKernel,
int,
int64_t,
float,
double,
phi::float16,
phi::bfloat16) {}