wehub-resource-sync
61 lines
2.0 KiB
C++
61 lines
2.0 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/trace_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/diagonal.h"
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#include "paddle/phi/kernels/funcs/eigen/common.h"
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namespace phi {
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template <typename T, typename Context>
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void TraceKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int offset,
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int axis1,
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int axis2,
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DenseTensor* out) {
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auto* out_data = dev_ctx.template Alloc<T>(out);
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if (out && out->numel() == 0) {
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return;
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}
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const DenseTensor diag =
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funcs::Diagonal<T, Context>(dev_ctx, &x, offset, axis1, axis2);
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if (diag.numel() > 0) {
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auto x = EigenMatrix<T>::Reshape(diag, diag.dims().size() - 1);
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auto output = EigenVector<T>::Flatten(*out);
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auto reduce_dim = Eigen::array<int, 1>({1});
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output.device(*dev_ctx.eigen_device()) = x.sum(reduce_dim);
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out->Resize(out->dims());
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} else {
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std::fill(out_data, out_data + out->numel(), static_cast<T>(0));
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(trace,
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CPU,
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ALL_LAYOUT,
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phi::TraceKernel,
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float,
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double,
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int,
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int64_t,
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phi::float16,
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phi::complex64,
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phi::complex128) {}
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