wehub-resource-sync
52 lines
1.8 KiB
C++
52 lines
1.8 KiB
C++
// Copyright (c) 2022 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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#include "paddle/phi/kernels/triu_indices_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void TriuIndicesKernel(const Context& dev_ctx,
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int row UNUSED,
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int col,
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int offset,
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DataType dtype UNUSED,
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DenseTensor* out) {
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T* out_data = dev_ctx.template Alloc<T>(out);
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const auto& out_dims = out->dims();
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int64_t triu_size = out_dims[1];
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int64_t i = 0;
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T c = std::max<int64_t>(0, offset), r = 0;
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while (i < triu_size) {
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out_data[i] = r;
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out_data[triu_size + i++] = c;
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// move to the next column and check if (r, c) is still in bound
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c += 1;
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if (c >= col) {
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r += 1;
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// not typing std::max with scalar_t as it could be an unsigned type
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// NOTE: not necessary to check if c is less than col or overflows here,
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// because i and triu_size act as a guard.
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c = std::max<int64_t>(0, r + offset);
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}
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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triu_indices, CPU, ALL_LAYOUT, phi::TriuIndicesKernel, int, int64_t) {}
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