wehub-resource-sync
77 lines
2.6 KiB
C++
77 lines
2.6 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/diag_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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#include "paddle/phi/kernels/funcs/diag_functor.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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namespace phi {
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template <typename T, typename Context>
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void DiagKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int offset,
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float padding_value,
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DenseTensor* out) {
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auto* x_data = x.data<T>();
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auto x_dims = x.dims();
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T* out_data = dev_ctx.template Alloc<T>(out);
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if (out && out->numel() == 0) return;
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auto out_dims = out->dims();
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int64_t i = 0;
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if (x_dims.size() <= 1) {
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funcs::SetConstant<Context, T> set_padding_value;
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set_padding_value(dev_ctx, out, static_cast<T>(padding_value));
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int64_t x_length = (x_dims.size() == 1ULL ? x_dims[0] : int64_t(1));
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const int64_t x_stride = 1;
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int64_t out_stride_0 = funcs::ComputeStride(0, out_dims);
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int64_t out_stride_1 = funcs::ComputeStride(1, out_dims);
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out_data += (offset >= 0 ? offset * out_stride_1 : -offset * out_stride_0);
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for (i = 0; i < x_length; i++) {
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out_data[i * (out_stride_0 + out_stride_1)] = x_data[i * x_stride];
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}
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} else {
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int64_t out_length = out_dims[0];
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const int64_t x_stride_0 = funcs::ComputeStride(0, x_dims);
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const int64_t x_stride_1 = funcs::ComputeStride(1, x_dims);
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int64_t out_stride_0 = funcs::ComputeStride(0, out_dims);
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x_data += (offset >= 0 ? offset * x_stride_1 : -offset * x_stride_0);
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for (i = 0; i < out_length; i++) {
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out_data[i * out_stride_0] = x_data[i * (x_stride_0 + x_stride_1)];
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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(diag,
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CPU,
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ALL_LAYOUT,
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phi::DiagKernel,
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phi::float16,
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int,
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float,
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double,
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int64_t,
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phi::complex64,
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phi::complex128) {}
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