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