Fix ROCm/HIP build, GraphBolt, and OnDiskDataset compatibility - #26
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awelling2801 wants to merge 3 commits into
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Fix ROCm/HIP build, GraphBolt, and OnDiskDataset compatibility#26awelling2801 wants to merge 3 commits into
awelling2801 wants to merge 3 commits into
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Updates GraphBolt and the tensor adapter to use PyTorch's CUDA-masquerading HIP APIs, fixes hipCUB 5.0 iterator compatibility, and hardens ROCm CI with dynamic test ports and isolated DataLoader test runs.
Pandas can return read-only numpy views from to_numpy(), which breaks in-place node-type offset updates during heterogeneous graph preprocessing. Co-authored-by: Cursor <cursoragent@cursor.com>
Introduce docker/Dockerfile.rocm, sync the legacy CI Dockerfile, apply cuco header patches during GraphBolt deps install, and restore HIP masquerading aliases so GraphBolt builds against recent PyTorch ROCm stacks. Co-authored-by: Cursor <cursoragent@cursor.com>
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Summary
docker/Dockerfile.rocm(and sync the legacy CI Dockerfile) for building and testing DGL on ROCm.Test plan
docker/Dockerfile.rocm(setARG_GPU_BUILD_TARGETSfor target GPU, e.g.gfx950)bash tests/scripts/task_unit_test_rocm.sh pytorch gpuin containertest_OnDiskDataset_heterogeneous[csv-*]andtest_OnDiskDataset_preprocess_graph_with_single_typepass after pandas read-only fixMade with Cursor