92 lines
3.2 KiB
C++
92 lines
3.2 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/graph_reindex_kernel.h"
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#include <unordered_map>
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#include <vector>
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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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namespace phi {
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template <typename T, typename Context>
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void GraphReindexKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& neighbors,
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const DenseTensor& count,
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const optional<DenseTensor>& hashtable_value,
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const optional<DenseTensor>& hashtable_index,
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DenseTensor* reindex_src,
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DenseTensor* reindex_dst,
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DenseTensor* out_nodes) {
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const T* x_data = x.data<T>();
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const T* neighbors_data = neighbors.data<T>();
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const int* count_data = count.data<int>();
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const int bs = static_cast<int>(x.dims()[0]);
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const int num_edges = static_cast<int>(neighbors.dims()[0]);
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std::unordered_map<T, T> node_map;
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std::vector<T> unique_nodes;
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int reindex_id = 0;
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PADDLE_ENFORCE_NE(
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0,
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bs,
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errors::InvalidArgument("The first of dims should not be equal to 0."));
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for (int i = 0; i < bs; i++) {
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T node = x_data[i];
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unique_nodes.emplace_back(node);
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node_map[node] = reindex_id++;
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}
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// Reindex Src
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std::vector<T> src(num_edges);
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std::vector<T> dst(num_edges);
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for (int i = 0; i < num_edges; i++) {
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T node = neighbors_data[i];
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if (node_map.find(node) == node_map.end()) {
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unique_nodes.emplace_back(node);
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node_map[node] = reindex_id++;
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}
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src[i] = node_map[node];
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}
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// Reindex Dst
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// Add support for multi-type edges reindex
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int num_edge_types = static_cast<int>(count.dims()[0] / bs);
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int cnt = 0;
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for (int i = 0; i < num_edge_types; i++) {
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for (int j = 0; j < bs; j++) {
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for (int k = 0; k < count_data[i * bs + j]; k++) {
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T node = x_data[j];
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dst[cnt++] = node_map[node];
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}
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}
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}
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reindex_src->Resize({num_edges});
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T* reindex_src_data = dev_ctx.template Alloc<T>(reindex_src);
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std::copy(src.begin(), src.end(), reindex_src_data);
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reindex_dst->Resize({num_edges});
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T* reindex_dst_data = dev_ctx.template Alloc<T>(reindex_dst);
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std::copy(dst.begin(), dst.end(), reindex_dst_data);
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out_nodes->Resize({static_cast<int>(unique_nodes.size())});
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T* out_nodes_data = dev_ctx.template Alloc<T>(out_nodes);
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std::copy(unique_nodes.begin(), unique_nodes.end(), out_nodes_data);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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graph_reindex, CPU, ALL_LAYOUT, phi::GraphReindexKernel, int, int64_t) {}
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