chore: import upstream snapshot with attribution
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/**
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* Copyright (c) 2020 by Contributors
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* @file kernel/cpu/segment_reduce.cc
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* @brief Segment reduce C APIs and definitions.
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*/
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#include "./segment_reduce.h"
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#include <dgl/array.h>
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#include <string>
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#include "./spmm_binary_ops.h"
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namespace dgl {
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namespace aten {
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/** @brief Segment Reduce operator. */
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template <int XPU, typename IdType, typename DType>
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void SegmentReduce(
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const std::string& op, NDArray feat, NDArray offsets, NDArray out,
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NDArray arg) {
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if (op == "sum") {
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cpu::SegmentSum<IdType, DType>(feat, offsets, out);
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} else if (op == "max" || op == "min") {
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if (op == "max") {
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cpu::SegmentCmp<IdType, DType, cpu::op::Max<DType>>(
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feat, offsets, out, arg);
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} else {
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cpu::SegmentCmp<IdType, DType, cpu::op::Min<DType>>(
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feat, offsets, out, arg);
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}
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} else {
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LOG(FATAL) << "Unsupported reduce function " << op;
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}
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}
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/** @brief Scatter Add.*/
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template <int XPU, typename IdType, typename DType>
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void ScatterAdd(NDArray feat, NDArray idx, NDArray out) {
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cpu::ScatterAdd<IdType, DType>(feat, idx, out);
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}
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/** @brief Update gradients for reduce operator max/min on heterogeneous
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* graph.*/
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template <int XPU, typename IdType, typename DType>
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void UpdateGradMinMax_hetero(
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const HeteroGraphPtr& g, const std::string& op,
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const std::vector<NDArray>& feat, const std::vector<NDArray>& idx,
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const std::vector<NDArray>& idx_etype, std::vector<NDArray>* out) {
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cpu::UpdateGradMinMax_hetero<IdType, DType>(g, op, feat, idx, idx_etype, out);
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}
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/** @brief Backward function of segment cmp.*/
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template <int XPU, typename IdType, typename DType>
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void BackwardSegmentCmp(NDArray feat, NDArray arg, NDArray out) {
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cpu::BackwardSegmentCmp<IdType, DType>(feat, arg, out);
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}
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template void SegmentReduce<kDGLCPU, int32_t, BFloat16>(
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const std::string& op, NDArray feat, NDArray offsets, NDArray out,
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NDArray arg);
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template void SegmentReduce<kDGLCPU, int64_t, BFloat16>(
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const std::string& op, NDArray feat, NDArray offsets, NDArray out,
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NDArray arg);
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template void SegmentReduce<kDGLCPU, int32_t, float>(
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const std::string& op, NDArray feat, NDArray offsets, NDArray out,
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NDArray arg);
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template void SegmentReduce<kDGLCPU, int64_t, float>(
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const std::string& op, NDArray feat, NDArray offsets, NDArray out,
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NDArray arg);
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template void SegmentReduce<kDGLCPU, int32_t, double>(
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const std::string& op, NDArray feat, NDArray offsets, NDArray out,
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NDArray arg);
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template void SegmentReduce<kDGLCPU, int64_t, double>(
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const std::string& op, NDArray feat, NDArray offsets, NDArray out,
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NDArray arg);
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template <>
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void ScatterAdd<kDGLCPU, int32_t, BFloat16>(
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NDArray feat, NDArray idx, NDArray out) {
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LOG(FATAL) << "Unsupported CPU kernel for ScatterAdd for BF16.";
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}
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template <>
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void ScatterAdd<kDGLCPU, int64_t, BFloat16>(
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NDArray feat, NDArray idx, NDArray out) {
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LOG(FATAL) << "Unsupported CPU kernel for ScatterAdd for BF16.";
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}
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template void ScatterAdd<kDGLCPU, int32_t, float>(
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NDArray feat, NDArray idx, NDArray out);
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template void ScatterAdd<kDGLCPU, int64_t, float>(
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NDArray feat, NDArray idx, NDArray out);
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template void ScatterAdd<kDGLCPU, int32_t, double>(
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NDArray feat, NDArray idx, NDArray out);
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template void ScatterAdd<kDGLCPU, int64_t, double>(
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NDArray feat, NDArray arg, NDArray out);
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template <>
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void UpdateGradMinMax_hetero<kDGLCPU, int32_t, BFloat16>(
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const HeteroGraphPtr& g, const std::string& op,
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const std::vector<NDArray>& feat, const std::vector<NDArray>& idx,
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const std::vector<NDArray>& idx_etype, std::vector<NDArray>* out) {
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LOG(FATAL) << "Unsupported CPU kernel for UpdateGradMinMax_hetero for BF16.";
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}
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template <>
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void UpdateGradMinMax_hetero<kDGLCPU, int64_t, BFloat16>(
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const HeteroGraphPtr& g, const std::string& op,
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const std::vector<NDArray>& feat, const std::vector<NDArray>& idx,
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const std::vector<NDArray>& idx_etype, std::vector<NDArray>* out) {
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LOG(FATAL) << "Unsupported CPU kernel for UpdateGradMinMax_hetero for BF16.";
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}
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template void UpdateGradMinMax_hetero<kDGLCPU, int32_t, float>(
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const HeteroGraphPtr& g, const std::string& op,
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const std::vector<NDArray>& feat, const std::vector<NDArray>& idx,
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const std::vector<NDArray>& idx_etype, std::vector<NDArray>* out);
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template void UpdateGradMinMax_hetero<kDGLCPU, int64_t, float>(
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const HeteroGraphPtr& g, const std::string& op,
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const std::vector<NDArray>& feat, const std::vector<NDArray>& idx,
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const std::vector<NDArray>& idx_etype, std::vector<NDArray>* out);
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template void UpdateGradMinMax_hetero<kDGLCPU, int32_t, double>(
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const HeteroGraphPtr& g, const std::string& op,
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const std::vector<NDArray>& feat, const std::vector<NDArray>& idx,
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const std::vector<NDArray>& idx_etype, std::vector<NDArray>* out);
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template void UpdateGradMinMax_hetero<kDGLCPU, int64_t, double>(
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const HeteroGraphPtr& g, const std::string& op,
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const std::vector<NDArray>& feat, const std::vector<NDArray>& idx,
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const std::vector<NDArray>& idx_etype, std::vector<NDArray>* out);
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template void BackwardSegmentCmp<kDGLCPU, int32_t, BFloat16>(
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NDArray feat, NDArray arg, NDArray out);
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template void BackwardSegmentCmp<kDGLCPU, int64_t, BFloat16>(
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NDArray feat, NDArray arg, NDArray out);
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template void BackwardSegmentCmp<kDGLCPU, int32_t, float>(
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NDArray feat, NDArray arg, NDArray out);
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template void BackwardSegmentCmp<kDGLCPU, int64_t, float>(
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NDArray feat, NDArray arg, NDArray out);
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template void BackwardSegmentCmp<kDGLCPU, int32_t, double>(
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NDArray feat, NDArray arg, NDArray out);
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template void BackwardSegmentCmp<kDGLCPU, int64_t, double>(
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NDArray feat, NDArray arg, NDArray out);
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} // namespace aten
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} // namespace dgl
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