wehub-resource-sync
60 lines
1.9 KiB
C++
60 lines
1.9 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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#pragma once
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#include "paddle/phi/common/scalar.h"
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#include "paddle/phi/core/dense_tensor.h"
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#include "paddle/phi/infermeta/multiary.h"
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#include "paddle/phi/kernels/empty_kernel.h"
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namespace phi {
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template <typename T, typename Context>
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void ConcatKernel(const Context& dev_ctx,
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const std::vector<const DenseTensor*>& x,
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const Scalar& axis,
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DenseTensor* out);
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template <typename T, typename Context>
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void Concat(const Context& dev_ctx,
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const std::vector<const DenseTensor*>& x,
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const Scalar& axis,
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DenseTensor* dense_out) {
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std::vector<MetaTensor> meta_x;
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meta_x.reserve(x.size());
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std::vector<const MetaTensor*> meta_x_ptr;
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for (const auto* t : x) {
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meta_x.emplace_back(*t);
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meta_x_ptr.push_back(&meta_x.back());
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}
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MetaTensor meta_out(dense_out);
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ConcatInferMeta(meta_x_ptr, axis.to<int>(), &meta_out);
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if (x[0]->initialized()) {
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ConcatKernel<T, Context>(dev_ctx, x, axis, dense_out);
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}
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}
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template <typename T, typename Context>
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DenseTensor Concat(const Context& dev_ctx,
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const std::vector<const DenseTensor*>& x,
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const Scalar& axis) {
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DenseTensor dense_out;
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Concat<T, Context>(dev_ctx, x, axis, &dense_out);
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return dense_out;
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}
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} // namespace phi
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