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

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// Copyright (c) 2022 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/scalar.h"
#include "paddle/phi/kernels/funcs/for_range.h"
#include "paddle/phi/kernels/funcs/math_function.h"
namespace phi {
template <typename T>
struct EyeFunctor {
EyeFunctor(int64_t num_columns, T* output)
: num_columns_(num_columns), output_(output) {}
HOSTDEVICE void operator()(size_t idx) const {
output_[idx * num_columns_ + idx] = static_cast<T>(1);
}
int64_t num_columns_;
T* output_;
};
template <typename T, typename Context>
void EyeKernel(const Context& dev_ctx,
const Scalar& num_rows,
const Scalar& num_columns,
DataType dtype UNUSED,
DenseTensor* out) {
auto columns = num_columns.to<int64_t>();
auto rows = num_rows.to<int64_t>();
if (columns == -1) {
columns = rows;
}
T* out_data = dev_ctx.template Alloc<T>(out);
funcs::SetConstant<Context, T> set_zero;
set_zero(dev_ctx, out, static_cast<T>(0));
int64_t num_eyes = (std::min)(rows, columns);
funcs::ForRange<Context> for_range(dev_ctx, num_eyes);
EyeFunctor<T> functor(columns, out_data);
for_range(functor);
}
} // namespace phi