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test_partition.cc
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#include <gtest/gtest.h>
#include "../../src/partition/ndarray_partition.h"
#include "./common.h"
using namespace dgl;
using namespace dgl::partition;
template<DLDeviceType XPU, typename IdType>
void _TestRemainder_GeneratePermutation() {
const int64_t size = 160000;
const int num_parts = 7;
NDArrayPartitionRef part = CreatePartitionRemainderBased(
size, num_parts);
IdArray idxs = aten::Range(0, size/10, sizeof(IdType)*8,
DGLContext{XPU, 0});
std::pair<IdArray, IdArray> result = part->GeneratePermutation(idxs);
// first part of result should be the permutation
IdArray perm = result.first.CopyTo(DGLContext{kDLCPU, 0});
ASSERT_TRUE(perm.Ptr<IdType>() != nullptr);
ASSERT_EQ(perm->shape[0], idxs->shape[0]);
const IdType * const perm_cpu = static_cast<const IdType*>(perm->data);
// second part of result should be the counts
IdArray counts = result.second.CopyTo(DGLContext{kDLCPU, 0});
ASSERT_TRUE(counts.Ptr<int64_t>() != nullptr);
ASSERT_EQ(counts->shape[0], num_parts);
const int64_t * const counts_cpu = static_cast<const int64_t*>(counts->data);
std::vector<int64_t> prefix(num_parts+1, 0);
for (int p = 0; p < num_parts; ++p) {
prefix[p+1] = prefix[p] + counts_cpu[p];
}
ASSERT_EQ(prefix.back(), idxs->shape[0]);
// copy original indexes to cpu
idxs = idxs.CopyTo(DGLContext{kDLCPU, 0});
const IdType * const idxs_cpu = static_cast<const IdType*>(idxs->data);
for (int p = 0; p < num_parts; ++p) {
for (int64_t i = prefix[p]; i < prefix[p+1]; ++i) {
EXPECT_EQ(idxs_cpu[perm_cpu[i]] % num_parts, p);
}
}
}
template<DLDeviceType XPU, typename IdType>
void _TestRemainder_MapToX() {
const int64_t size = 160000;
const int num_parts = 7;
NDArrayPartitionRef part = CreatePartitionRemainderBased(
size, num_parts);
for (int part_id = 0; part_id < num_parts; ++part_id) {
IdArray local = aten::Range(0, part->PartSize(part_id), sizeof(IdType)*8,
DGLContext{XPU, 0});
IdArray global = part->MapToGlobal(local, part_id);
IdArray act_local = part->MapToLocal(global).CopyTo(CPU);
// every global index should have the same remainder as the part id
ASSERT_EQ(global->shape[0], local->shape[0]);
global = global.CopyTo(CPU);
for (size_t i = 0; i < global->shape[0]; ++i) {
EXPECT_EQ(Ptr<IdType>(global)[i] % num_parts, part_id) << "i=" << i <<
", num_parts=" << num_parts << ", part_id=" << part_id;
}
// the remapped local indices to should match the original
local = local.CopyTo(CPU);
ASSERT_EQ(local->shape[0], act_local->shape[0]);
for (size_t i = 0; i < act_local->shape[0]; ++i) {
EXPECT_EQ(Ptr<IdType>(local)[i], Ptr<IdType>(act_local)[i]);
}
}
}
TEST(PartitionTest, TestRemainderPartition) {
#ifdef DGL_USE_CUDA
_TestRemainder_GeneratePermutation<kDLGPU, int32_t>();
_TestRemainder_GeneratePermutation<kDLGPU, int64_t>();
_TestRemainder_MapToX<kDLGPU, int32_t>();
_TestRemainder_MapToX<kDLGPU, int64_t>();
#endif
// CPU is not implemented
}
template<typename INDEX, typename RANGE>
int _FindPart(
const INDEX idx,
const RANGE * const range,
const int num_parts)
{
for (int i = 0; i < num_parts; ++i) {
if (range[i+1] > idx) {
return i;
}
}
return -1;
}
template<DLDeviceType XPU, typename IdType>
void _TestRange_GeneratePermutation() {
const int64_t size = 160000;
const int num_parts = 7;
IdArray range = aten::NewIdArray(num_parts+1, DGLContext{kDLCPU, 0},
sizeof(IdType)*8);
for (int i = 0; i < num_parts; ++i) {
range.Ptr<IdType>()[i] = (size/num_parts)*i;
}
range.Ptr<IdType>()[num_parts] = size;
NDArrayPartitionRef part = CreatePartitionRangeBased(
size, num_parts, range.CopyTo(DGLContext{XPU, 0}));
IdArray idxs = aten::Range(0, size/10, sizeof(IdType)*8,
DGLContext{XPU, 0});
std::pair<IdArray, IdArray> result = part->GeneratePermutation(idxs);
// first part of result should be the permutation
IdArray perm = result.first.CopyTo(DGLContext{kDLCPU, 0});
ASSERT_TRUE(perm.Ptr<IdType>() != nullptr);
ASSERT_EQ(perm->shape[0], idxs->shape[0]);
const IdType * const perm_cpu = static_cast<const IdType*>(perm->data);
// second part of result should be the counts
IdArray counts = result.second.CopyTo(DGLContext{kDLCPU, 0});
ASSERT_TRUE(counts.Ptr<int64_t>() != nullptr);
ASSERT_EQ(counts->shape[0], num_parts);
const int64_t * const counts_cpu = static_cast<const int64_t*>(counts->data);
std::vector<int64_t> prefix(num_parts+1, 0);
for (int p = 0; p < num_parts; ++p) {
prefix[p+1] = prefix[p] + counts_cpu[p];
}
ASSERT_EQ(prefix.back(), idxs->shape[0]);
// copy original indexes to cpu
idxs = idxs.CopyTo(DGLContext{kDLCPU, 0});
const IdType * const idxs_cpu = static_cast<const IdType*>(idxs->data);
for (int p = 0; p < num_parts; ++p) {
for (int64_t i = prefix[p]; i < prefix[p+1]; ++i) {
EXPECT_EQ(_FindPart(idxs_cpu[perm_cpu[i]], range.Ptr<IdType>(), num_parts), p);
}
}
}
template<DLDeviceType XPU, typename IdType>
void _TestRange_MapToX() {
const int64_t size = 160000;
const int num_parts = 7;
IdArray range = aten::NewIdArray(num_parts+1, DGLContext{kDLCPU, 0},
sizeof(IdType)*8);
for (int i = 0; i < num_parts; ++i) {
Ptr<IdType>(range)[i] = (size/num_parts)*i;
}
range.Ptr<IdType>()[num_parts] = size;
NDArrayPartitionRef part = CreatePartitionRangeBased(
size, num_parts, range.CopyTo(DGLContext{XPU, 0}));
for (int part_id = 0; part_id < num_parts; ++part_id) {
IdArray local = aten::Range(0, part->PartSize(part_id), sizeof(IdType)*8,
DGLContext{XPU, 0});
IdArray global = part->MapToGlobal(local, part_id);
IdArray act_local = part->MapToLocal(global).CopyTo(CPU);
ASSERT_EQ(global->shape[0], local->shape[0]);
global = global.CopyTo(CPU);
for (size_t i = 0; i < global->shape[0]; ++i) {
EXPECT_EQ(_FindPart(Ptr<IdType>(global)[i], Ptr<IdType>(range), num_parts), part_id) << "i=" << i <<
", num_parts=" << num_parts << ", part_id=" << part_id << ", shape=" << global->shape[0];
}
// the remapped local indices to should match the original
local = local.CopyTo(CPU);
ASSERT_EQ(local->shape[0], act_local->shape[0]);
for (size_t i = 0; i < act_local->shape[0]; ++i) {
EXPECT_EQ(Ptr<IdType>(local)[i], Ptr<IdType>(act_local)[i]);
}
}
}
TEST(PartitionTest, TestRangePartition) {
#ifdef DGL_USE_CUDA
_TestRange_GeneratePermutation<kDLGPU, int32_t>();
_TestRange_GeneratePermutation<kDLGPU, int64_t>();
_TestRange_MapToX<kDLGPU, int32_t>();
_TestRange_MapToX<kDLGPU, int64_t>();
#endif
// CPU is not implemented
}