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84 lines
2.5 KiB
84 lines
2.5 KiB
/* Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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http://www.apache.org/licenses/LICENSE-2.0
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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 <algorithm>
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#include <bitset>
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#include <vector>
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#include "paddle/fluid/framework/op_registry.h"
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#include "paddle/fluid/framework/operator.h"
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namespace paddle {
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namespace operators {
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using Tensor = framework::Tensor;
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constexpr size_t dim_bitset_size = 64;
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template <typename DeviceContext, typename T>
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class FlipKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override;
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};
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template <typename T>
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class FlipKernel<platform::CPUDeviceContext, T>
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: public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override {
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const Tensor* x = ctx.Input<Tensor>("X");
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Tensor* out = ctx.Output<Tensor>("Out");
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auto flip_dims = ctx.template Attr<std::vector<int>>("dims");
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auto x_dims = x->dims();
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const int total_dims = x_dims.size();
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std::bitset<dim_bitset_size> dim_bitset;
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for (size_t i = 0; i < flip_dims.size(); ++i) {
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int dim = flip_dims[i];
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if (flip_dims[i] < 0) {
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dim += total_dims;
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}
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dim_bitset[dim] = true;
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}
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auto x_strides = framework::stride(x_dims);
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auto numel = x->numel();
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const T* x_data = x->data<T>();
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T* out_data = out->mutable_data<T>(ctx.GetPlace());
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#ifdef PADDLE_WITH_MKLML
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#pragma omp parallel for
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#endif
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for (int64_t i = 0; i < numel; ++i) {
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int64_t cur_indices = i;
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int64_t rem = 0;
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int64_t dst_offset = 0;
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for (int d = 0; d < total_dims; ++d) {
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int64_t temp = cur_indices;
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cur_indices = cur_indices / x_strides[d];
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rem = temp - cur_indices * x_strides[d];
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dst_offset += dim_bitset[d]
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? (x_dims[d] - 1 - cur_indices) * x_strides[d]
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: cur_indices * x_strides[d];
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cur_indices = rem;
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}
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out_data[i] = x_data[dst_offset];
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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