wehub-resource-sync
51 lines
1.7 KiB
C++
51 lines
1.7 KiB
C++
// 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.
|
|
|
|
#include "paddle/phi/kernels/tril_indices_kernel.h"
|
|
|
|
#include "paddle/phi/backends/cpu/cpu_context.h"
|
|
#include "paddle/phi/core/kernel_registry.h"
|
|
|
|
namespace phi {
|
|
template <typename T, typename Context>
|
|
void TrilIndicesKernel(const Context& dev_ctx,
|
|
int rows UNUSED,
|
|
int cols,
|
|
int offset,
|
|
DataType dtype UNUSED,
|
|
DenseTensor* out) {
|
|
T* out_data = dev_ctx.template Alloc<T>(out);
|
|
const auto& out_dims = out->dims();
|
|
int64_t tril_size = out_dims[1];
|
|
int64_t i = 0;
|
|
T r = std::max<int64_t>(0, -offset), c = 0;
|
|
while (i < tril_size) {
|
|
out_data[i] = r;
|
|
out_data[tril_size + i++] = c;
|
|
|
|
// move to the next column and check if (r, c) is still in bound
|
|
c += 1;
|
|
if (c > r + offset || c >= cols) {
|
|
r += 1;
|
|
c = 0;
|
|
// NOTE: not necessary to check if r is less than row here, because i
|
|
// and tril_size provide the guarantee
|
|
}
|
|
}
|
|
}
|
|
} // namespace phi
|
|
|
|
PD_REGISTER_KERNEL(
|
|
tril_indices, CPU, ALL_LAYOUT, phi::TrilIndicesKernel, int, int64_t) {}
|