81 lines
2.4 KiB
C++
81 lines
2.4 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/stack_kernel.h"
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#include "paddle/phi/backends/xpu/enforce_xpu.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 StackKernel(const Context& dev_ctx,
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const std::vector<const DenseTensor*>& x,
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int axis,
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DenseTensor* out) {
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using XPUType = typename XPUTypeTrait<T>::Type;
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if (axis < 0) {
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axis += x[0]->dims().size() + 1;
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}
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// zero sized tensor case
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if (x[0]->numel() == 0) {
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dev_ctx.template Alloc<T>(out);
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auto out_dims = out->dims();
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out->Resize(out_dims);
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return;
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}
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dev_ctx.template Alloc<T>(out);
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auto& dim = x[0]->dims();
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std::vector<int64_t> xdims;
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for (auto i = 0; i < dim.size(); ++i) {
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xdims.push_back(dim[i]);
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}
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xdims.push_back(1);
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std::vector<std::vector<int64_t>> xdims_list;
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int64_t n = static_cast<int64_t>(x.size());
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for (int64_t i = 0; i < n; i++) {
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xdims_list.push_back(xdims);
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}
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std::vector<const XPUType*> x_list;
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for (int64_t i = 0; i < n; i++) {
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x_list.push_back(reinterpret_cast<const XPUType*>(x[i]->data<T>()));
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}
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int r = xpu::concat<XPUType>(dev_ctx.x_context(),
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x_list,
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reinterpret_cast<XPUType*>(out->data<T>()),
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xdims_list,
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axis);
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PADDLE_ENFORCE_XDNN_SUCCESS(r, "concat in stack op");
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}
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} // namespace phi
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PD_REGISTER_KERNEL(stack,
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XPU,
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ALL_LAYOUT,
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phi::StackKernel,
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double,
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float,
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phi::float16,
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phi::bfloat16,
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int64_t,
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int,
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int16_t,
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int8_t,
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uint8_t,
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bool) {}
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