wehub-resource-sync
78 lines
2.5 KiB
C++
78 lines
2.5 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/reverse_kernel.h"
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#include "paddle/phi/core/enforce.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/tensor_utils.h"
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namespace phi {
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template <typename T, typename Context>
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void ReverseArrayKernel(const Context& dev_ctx,
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const TensorArray& x,
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const IntArray& axis UNUSED,
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TensorArray* out) {
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PADDLE_ENFORCE_EQ(x.size(),
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out->size(),
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common::errors::InvalidArgument(
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"The input size(%d) and output size(%d) of "
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"ReverseArrayKernel is different.",
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x.size(),
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out->size()));
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for (size_t offset = 0; offset < x.size(); ++offset) {
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auto& x_tensor = x.at(offset);
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PADDLE_ENFORCE_GT(
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x_tensor.memory_size(),
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0,
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common::errors::PreconditionNotMet(
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"The input phi::TensorArray X[%d] holds no memory.", offset));
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auto out_offset = x.size() - offset - 1;
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auto& out_tensor = out->at(out_offset);
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out_tensor.set_lod(x_tensor.lod());
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phi::Copy<Context>(
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dev_ctx, x_tensor, dev_ctx.GetPlace(), false, &out_tensor);
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(reverse_array,
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CPU,
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ALL_LAYOUT,
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phi::ReverseArrayKernel,
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int,
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uint8_t,
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int64_t,
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bool,
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float,
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double) {}
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#if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
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PD_REGISTER_KERNEL(reverse_array,
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GPU,
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ALL_LAYOUT,
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phi::ReverseArrayKernel,
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int,
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uint8_t,
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int64_t,
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bool,
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float,
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double) {}
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#endif
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