dmlc--dgl
44089c8b4d
* Merge * [Graph][CUDA] Graph on GPU and many refactoring (#1791) * change edge_ids behavior and C++ impl * fix unittests; remove utils.Index in edge_id * pass mx and th tests * pass tf test * add aten::Scatter_ * Add nonzero; impl CSRGetDataAndIndices/CSRSliceMatrix * CSRGetData and CSRGetDataAndIndices passed tests * CSRSliceMatrix basic tests * fix bug in empty slice * CUDA CSRHasDuplicate * has_node; has_edge_between * predecessors, successors * deprecate send/recv; fix send_and_recv * deprecate send/recv; fix send_and_recv * in_edges; out_edges; all_edges; apply_edges * in deg/out deg * subgraph/edge_subgraph * adj * in_subgraph/out_subgraph * sample neighbors * set/get_n/e_repr * wip: working on refactoring all idtypes * pass ndata/edata tests on gpu * fix * stash * workaround nonzero issue * stash * nx conversion * test_hetero_basics except update routines * test_update_routines * test_hetero_basics for pytorch * more fixes * WIP: flatten graph * wip: flatten * test_flatten * test_to_device * fix bug in to_homo * fix bug in CSRSliceMatrix * pass subgraph test * fix send_and_recv * fix filter * test_heterograph * passed all pytorch tests * fix mx unittest * fix pytorch test_nn * fix all unittests for PyTorch * passed all mxnet tests * lint * fix tf nn test * pass all tf tests * lint * lint * change deprecation * try fix compile * lint * update METIDS * fix utest * fix * fix utests * try debug * revert * small fix * fix utests * upd * upd * upd * fix * upd * upd * upd * upd * upd * trigger * +1s * [kernel] Use heterograph index instead of unitgraph index (#1813) * upd * upd * upd * fix * upd * upd * upd * upd * upd * trigger * +1s * [Graph] Mutation for Heterograph (#1818) * mutation add_nodes and add_edges * Add support for remove_edges, remove_nodes, add_selfloop, remove_selfloop * Fix Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal> * upd * upd * upd * fix * [Transfom] Mutable transform (#1833) * add nodesy * All three * Fix * lint * Add some test case * Fix * Fix * Fix * Fix * Fix * Fix * fix * triger * Fix * fix Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal> * [Graph] Migrate Batch & Readout module to heterograph (#1836) * dgl.batch * unbatch * fix to device * reduce readout; segment reduce * change batch_num_nodes|edges to function * reduce readout/ softmax * broadcast * topk * fix * fix tf and mx * fix some ci * fix batch but unbatch differently * new checkk * upd * upd * upd * idtype behavior; code reorg * idtype behavior; code reorg * wip: test_basics * pass test_basics * WIP: from nx/ to nx * missing files * upd * pass test_basics:test_nx_conversion * Fix test * Fix inplace update * WIP: fixing tests * upd * pass test_transform cpu * pass gpu test_transform * pass test_batched_graph * GPU graph auto cast to int32 * missing file * stash * WIP: rgcn-hetero * Fix two datasety * upd * weird * Fix capsuley * fuck you * fuck matthias * Fix dgmg * fix bug in block degrees; pass rgcn-hetero * rgcn * gat and diffpool fix also fix ppi and tu dataset * Tree LSTM * pointcloud * rrn; wip: sgc * resolve conflicts * upd * sgc and reddit dataset * upd * Fix deepwalk, gindt and gcn * fix datasets and sign * optimization * optimization * upd * upd * Fix GIN * fix bug in add_nodes add_edges; tagcn * adaptive sampling and gcmc * upd * upd * fix geometric * fix * metapath2vec * fix agnn * fix pickling problem of block * fix utests * miss file * linegraph * upd * upd * upd * graphsage * stgcn_wave * fix hgt * on unittests * Fix transformer * Fix HAN * passed pytorch unittests * lint * fix * Fix cluster gcn * cluster-gcn is ready * on fixing block related codes * 2nd order derivative * Revert "2nd order derivative" This reverts commit 523bf6c249bee61b51b1ad1babf42aad4167f206. * passed torch utests again * fix all mxnet unittests * delete some useless tests * pass all tf cpu tests * disable * disable distributed unittest * fix * fix * lint * fix * fix * fix script * fix tutorial * fix apply edges bug * fix 2 basics * fix tutorial Co-authored-by: yzh119 <expye@outlook.com> Co-authored-by: xiang song(charlie.song) <classicxsong@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-51-214.ec2.internal> Co-authored-by: Ubuntu <ubuntu@ip-172-31-7-42.us-west-2.compute.internal> Co-authored-by: Ubuntu <ubuntu@ip-172-31-1-5.us-west-2.compute.internal> Co-authored-by: Ubuntu <ubuntu@ip-172-31-68-185.ec2.internal>
260 行
12 KiB
C++
260 行
12 KiB
C++
/*!
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* Copyright (c) 2020 by Contributors
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* \file dgl/aten/macro.h
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* \brief Common macros for aten package.
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*/
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#ifndef DGL_ATEN_MACRO_H_
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#define DGL_ATEN_MACRO_H_
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///////////////////////// Dispatchers //////////////////////////
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/*
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* Dispatch according to device:
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*
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* ATEN_XPU_SWITCH(array->ctx.device_type, XPU, {
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* // Now XPU is a placeholder for array->ctx.device_type
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* DeviceSpecificImplementation<XPU>(...);
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* });
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*/
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#define ATEN_XPU_SWITCH(val, XPU, op, ...) do { \
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if ((val) == kDLCPU) { \
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constexpr auto XPU = kDLCPU; \
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{__VA_ARGS__} \
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} else { \
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LOG(FATAL) << "Operator " << (op) << " does not support " \
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<< dgl::runtime::DeviceTypeCode2Str(val) \
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<< " device."; \
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} \
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} while (0)
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/*
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* Dispatch according to device:
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*
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* XXX(minjie): temporary macro that allows CUDA operator
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*
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* ATEN_XPU_SWITCH(array->ctx.device_type, XPU, {
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* // Now XPU is a placeholder for array->ctx.device_type
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* DeviceSpecificImplementation<XPU>(...);
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* });
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*/
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#ifdef DGL_USE_CUDA
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#define ATEN_XPU_SWITCH_CUDA(val, XPU, op, ...) do { \
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if ((val) == kDLCPU) { \
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constexpr auto XPU = kDLCPU; \
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{__VA_ARGS__} \
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} else if ((val) == kDLGPU) { \
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constexpr auto XPU = kDLGPU; \
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{__VA_ARGS__} \
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} else { \
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LOG(FATAL) << "Operator " << (op) << " does not support " \
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<< dgl::runtime::DeviceTypeCode2Str(val) \
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<< " device."; \
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} \
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} while (0)
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#else // DGL_USE_CUDA
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#define ATEN_XPU_SWITCH_CUDA ATEN_XPU_SWITCH
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#endif // DGL_USE_CUDA
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/*
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* Dispatch according to integral type (either int32 or int64):
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*
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* ATEN_ID_TYPE_SWITCH(array->dtype, IdType, {
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* // Now IdType is the type corresponding to data type in array.
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* // For instance, one can do this for a CPU array:
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* DType *data = static_cast<DType *>(array->data);
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* });
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*/
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#define ATEN_ID_TYPE_SWITCH(val, IdType, ...) do { \
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CHECK_EQ((val).code, kDLInt) << "ID must be integer type"; \
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if ((val).bits == 32) { \
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typedef int32_t IdType; \
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{__VA_ARGS__} \
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} else if ((val).bits == 64) { \
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typedef int64_t IdType; \
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{__VA_ARGS__} \
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} else { \
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LOG(FATAL) << "ID can only be int32 or int64"; \
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} \
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} while (0)
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/*
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* Dispatch according to bits (either int32 or int64):
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*
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* ATEN_ID_BITS_SWITCH(bits, IdType, {
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* // Now IdType is the type corresponding to data type in array.
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* // For instance, one can do this for a CPU array:
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* DType *data = static_cast<DType *>(array->data);
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* });
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*/
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#define ATEN_ID_BITS_SWITCH(bits, IdType, ...) \
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do { \
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CHECK((bits) == 32 || (bits) == 64) << "bits must be 32 or 64"; \
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if ((bits) == 32) { \
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typedef int32_t IdType; \
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{ __VA_ARGS__ } \
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} else if ((bits) == 64) { \
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typedef int64_t IdType; \
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{ __VA_ARGS__ } \
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} else { \
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LOG(FATAL) << "ID can only be int32 or int64"; \
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} \
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} while (0)
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/*
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* Dispatch according to float type (either float32 or float64):
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*
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* ATEN_FLOAT_TYPE_SWITCH(array->dtype, FloatType, {
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* // Now FloatType is the type corresponding to data type in array.
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* // For instance, one can do this for a CPU array:
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* FloatType *data = static_cast<FloatType *>(array->data);
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* });
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*/
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#define ATEN_FLOAT_TYPE_SWITCH(val, FloatType, val_name, ...) do { \
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CHECK_EQ((val).code, kDLFloat) \
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<< (val_name) << " must be float type"; \
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if ((val).bits == 32) { \
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typedef float FloatType; \
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{__VA_ARGS__} \
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} else if ((val).bits == 64) { \
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typedef double FloatType; \
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{__VA_ARGS__} \
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} else { \
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LOG(FATAL) << (val_name) << " can only be float32 or float64"; \
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} \
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} while (0)
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/*
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* Dispatch according to data type (int32, int64, float32 or float64):
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*
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* ATEN_DTYPE_SWITCH(array->dtype, DType, {
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* // Now DType is the type corresponding to data type in array.
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* // For instance, one can do this for a CPU array:
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* DType *data = static_cast<DType *>(array->data);
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* });
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*/
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#define ATEN_DTYPE_SWITCH(val, DType, val_name, ...) do { \
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if ((val).code == kDLInt && (val).bits == 32) { \
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typedef int32_t DType; \
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{__VA_ARGS__} \
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} else if ((val).code == kDLInt && (val).bits == 64) { \
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typedef int64_t DType; \
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{__VA_ARGS__} \
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} else if ((val).code == kDLFloat && (val).bits == 32) { \
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typedef float DType; \
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{__VA_ARGS__} \
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} else if ((val).code == kDLFloat && (val).bits == 64) { \
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typedef double DType; \
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{__VA_ARGS__} \
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} else { \
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LOG(FATAL) << (val_name) << " can only be int32, int64, float32 or float64"; \
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} \
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} while (0)
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/*
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* Dispatch according to integral type of CSR graphs.
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* Identical to ATEN_ID_TYPE_SWITCH except for a different error message.
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*/
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#define ATEN_CSR_DTYPE_SWITCH(val, DType, ...) do { \
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if ((val).code == kDLInt && (val).bits == 32) { \
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typedef int32_t DType; \
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{__VA_ARGS__} \
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} else if ((val).code == kDLInt && (val).bits == 64) { \
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typedef int64_t DType; \
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{__VA_ARGS__} \
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} else { \
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LOG(FATAL) << "CSR matrix data can only be int32 or int64"; \
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} \
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} while (0)
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// Macro to dispatch according to device context and index type.
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#define ATEN_CSR_SWITCH(csr, XPU, IdType, op, ...) \
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ATEN_XPU_SWITCH((csr).indptr->ctx.device_type, XPU, op, { \
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ATEN_ID_TYPE_SWITCH((csr).indptr->dtype, IdType, { \
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{__VA_ARGS__} \
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}); \
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});
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// Macro to dispatch according to device context and index type.
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#define ATEN_COO_SWITCH(coo, XPU, IdType, op, ...) \
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ATEN_XPU_SWITCH((coo).row->ctx.device_type, XPU, op, { \
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ATEN_ID_TYPE_SWITCH((coo).row->dtype, IdType, { \
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{__VA_ARGS__} \
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}); \
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});
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// Macro to dispatch according to device context (allowing cuda)
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#ifdef DGL_USE_CUDA
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#define ATEN_CSR_SWITCH_CUDA(csr, XPU, IdType, op, ...) \
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ATEN_XPU_SWITCH_CUDA((csr).indptr->ctx.device_type, XPU, op, { \
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ATEN_ID_TYPE_SWITCH((csr).indptr->dtype, IdType, { \
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{__VA_ARGS__} \
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}); \
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});
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// Macro to dispatch according to device context and index type.
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#define ATEN_COO_SWITCH_CUDA(coo, XPU, IdType, op, ...) \
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ATEN_XPU_SWITCH_CUDA((coo).row->ctx.device_type, XPU, op, { \
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ATEN_ID_TYPE_SWITCH((coo).row->dtype, IdType, { \
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{__VA_ARGS__} \
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}); \
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});
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#else // DGL_USE_CUDA
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#define ATEN_CSR_SWITCH_CUDA ATEN_CSR_SWITCH
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#define ATEN_COO_SWITCH_CUDA ATEN_COO_SWITCH
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#endif // DGL_USE_CUDA
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///////////////////////// Array checks //////////////////////////
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#define IS_INT32(a) \
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((a)->dtype.code == kDLInt && (a)->dtype.bits == 32)
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#define IS_INT64(a) \
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((a)->dtype.code == kDLInt && (a)->dtype.bits == 64)
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#define IS_FLOAT32(a) \
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((a)->dtype.code == kDLFloat && (a)->dtype.bits == 32)
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#define IS_FLOAT64(a) \
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((a)->dtype.code == kDLFloat && (a)->dtype.bits == 64)
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#define CHECK_IF(cond, prop, value_name, dtype_name) \
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CHECK(cond) << "Expecting " << (prop) << " of " << (value_name) << " to be " << (dtype_name)
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#define CHECK_INT32(value, value_name) \
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CHECK_IF(IS_INT32(value), "dtype", value_name, "int32")
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#define CHECK_INT64(value, value_name) \
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CHECK_IF(IS_INT64(value), "dtype", value_name, "int64")
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#define CHECK_INT(value, value_name) \
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CHECK_IF(IS_INT32(value) || IS_INT64(value), "dtype", value_name, "int32 or int64")
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#define CHECK_FLOAT32(value, value_name) \
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CHECK_IF(IS_FLOAT32(value), "dtype", value_name, "float32")
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#define CHECK_FLOAT64(value, value_name) \
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CHECK_IF(IS_FLOAT64(value), "dtype", value_name, "float64")
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#define CHECK_FLOAT(value, value_name) \
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CHECK_IF(IS_FLOAT32(value) || IS_FLOAT64(value), "dtype", value_name, "float32 or float64")
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#define CHECK_NDIM(value, _ndim, value_name) \
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CHECK_IF((value)->ndim == (_ndim), "ndim", value_name, _ndim)
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#define CHECK_SAME_DTYPE(VAR1, VAR2) \
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CHECK((VAR1)->dtype == (VAR2)->dtype) \
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<< "Expected " << (#VAR2) << " to be the same type as " << (#VAR1) << "(" \
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<< (VAR1)->dtype << ")" \
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<< ". But got " << (VAR2)->dtype << ".";
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#define CHECK_SAME_CONTEXT(VAR1, VAR2) \
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CHECK((VAR1)->ctx == (VAR2)->ctx) \
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<< "Expected " << (#VAR2) << " to have the same device context as " << (#VAR1) << "(" \
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<< (VAR1)->ctx << ")" \
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<< ". But got " << (VAR2)->ctx << ".";
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#define CHECK_NO_OVERFLOW(dtype, val) \
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do { \
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if (sizeof(val) == 8 && (dtype).bits == 32) \
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CHECK_LE((val), 0x7FFFFFFFL) << "int32 overflow for argument " << (#val) << "."; \
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} while (0);
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#define CHECK_IS_ID_ARRAY(VAR) \
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CHECK((VAR)->ndim == 1 && (IS_INT32(VAR) || IS_INT64(VAR))) \
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<< "Expected argument " << (#VAR) << " to be an 1D integer array.";
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#endif // DGL_ATEN_MACRO_H_
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