Fix DLRMv3 fbgemm_gpu loading with hardcoded Bazel paths#2439
Merged
hanyunfan merged 11 commits intomlcommons:masterfrom Mar 30, 2026
Merged
Fix DLRMv3 fbgemm_gpu loading with hardcoded Bazel paths#2439hanyunfan merged 11 commits intomlcommons:masterfrom
hanyunfan merged 11 commits intomlcommons:masterfrom
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Replace internal Bazel build paths with proper Python imports to fix library loading failures outside Meta's build environment. Fixes mlcommons#2429
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MLCommons CLA bot All contributors have signed the MLCommons CLA ✍️ ✅ |
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Signing the CLA now via the Google form. |
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LinjianMa
approved these changes
Jan 19, 2026
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I have verified the PR works as expected. @hanyunfan @mrmhodak can we merge the PR? |
mrmhodak
previously approved these changes
Feb 9, 2026
hanyunfan
previously approved these changes
Mar 9, 2026
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@pgmpablo157321 Could you or someone else help to merge this one, it got stuck at the CLA check. |
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hanyunfan
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Mar 30, 2026
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Problem
The DLRMv3 harness was using hardcoded Bazel build paths specific to Meta's internal build system:
torch.ops.load_library("//deeplearning/fbgemm/fbgemm_gpu:sparse_ops")
torch.ops.load_library("//deeplearning/fbgemm/fbgemm_gpu:sparse_ops_cpu")
This caused failures when running outside that environment:
FAILED to load sparse_ops_cpu in position: Could not load this library: /deeplearning/fbgemm/fbgemm_gpu:sparse_ops
FAILED to load sparse_ops_cpu in jagged: Could not load this library: /deeplearning/fbgemm/fbgemm_gpu:sparse_ops
FAILED to load sparse_ops_cpu in jagged tensors: Could not load this library: /deeplearning/fbgemm/fbgemm_gpu:sparse_ops
FAILED to load sparse_ops_cpu in hstu attention: Could not load this library: /deeplearning/fbgemm/fbgemm_gpu:sparse_ops
Fixes #2429