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

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// Copyright (c) 2023 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/binomial_kernel.h"
#include "paddle/phi/backends/cpu/cpu_context.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/funcs/binomial_functor.h"
namespace phi {
template <typename T, typename Context>
void BinomialKernel(const Context& dev_ctx,
const DenseTensor& count,
const DenseTensor& prob,
DenseTensor* out) {
auto numel = count.numel();
auto* count_data = count.data<T>();
auto* prob_data = prob.data<T>();
int64_t* out_data = dev_ctx.template Alloc<int64_t>(out);
for (int64_t i = 0; i < numel; ++i) {
out_data[i] =
funcs::BinomialFunctor<T>(dev_ctx, count_data[i], prob_data[i]);
}
}
} // namespace phi
PD_REGISTER_KERNEL(
binomial, CPU, ALL_LAYOUT, phi::BinomialKernel, float, double) {
kernel->OutputAt(0).SetDataType(phi::DataType::INT64);
}