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paddlepaddle--paddle/paddle/phi/kernels/funcs/multinomial_kernel_helper.h
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2026-07-13 12:40:42 +08:00

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// Copyright (c) 2024 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.
#pragma once
#include "paddle/phi/common/amp_type_traits.h"
#include "paddle/phi/common/scalar.h"
#include "paddle/phi/core/dense_tensor.h"
#include "paddle/phi/core/tensor_utils.h"
namespace phi {
template <typename T, typename Context>
void MultinomialInputChecker(const Context& dev_ctx,
const DenseTensor& x,
const Scalar& num_samples) {
using MT = typename MPTypeTrait<T>::Type;
auto in_dims = x.dims();
int64_t dim_size = in_dims.size();
const int64_t num_categories = in_dims[dim_size - 1];
const int64_t num_distributions = dim_size > 1 ? in_dims[dim_size - 2] : 1;
auto int_num_samples = num_samples.to<int>();
DenseTensor cpu_tensor;
phi::Copy<Context>(dev_ctx, x, CPUPlace(), false, &cpu_tensor);
T* cpu_in_data = cpu_tensor.data<T>();
for (int64_t i = 0; i < num_distributions; ++i) {
int zero_num = 0;
for (int64_t j = 0; j < num_categories; ++j) {
T weight = cpu_in_data[i * num_categories + j];
PADDLE_ENFORCE_GE(
static_cast<MT>(weight),
0,
errors::InvalidArgument(
"Each element of multinomial'input must >= 0, but got %f.",
static_cast<MT>(weight)));
if (weight == static_cast<T>(0)) {
zero_num++;
}
}
int valid_samples = num_categories - zero_num;
PADDLE_ENFORCE_LE(
int_num_samples,
valid_samples,
errors::InvalidArgument("When replacement=False, 'num_samples' "
"must less than or equal to the number of "
"positive item of input"));
}
}
} // namespace phi