Comments (1)
Hi @liesun1994, FBGEMM GPU doesn't officially support MacOS. You might want to try building from source. Please follow the instructions in https://github.com/pytorch/FBGEMM/blob/main/fbgemm_gpu/docs/BuildInstructions.md. Thank you!
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Related Issues (20)
- `.to("meta")` is leaked to the public main branch in the tests. HOT 2
- Can't compile FBGEMM with GCC 12.3.0 HOT 4
- compiling FBGEMM for ARM HOT 4
- How `partition_avx512` is auto-tuned? HOT 3
- Compiling on windows with mingw
- Error importing fbgemm_gpu HOT 15
- nvcc fatal : Unknown option '-mavx' HOT 5
- Build failure on MacOS HOT 6
- momentum for SGD/Adagrad HOT 2
- RuntimeError: No such operator fbgemm::jagged_2d_to_dense HOT 3
- Having issue installing FBGEMM-gpu on MacOS HOT 8
- Latest FBGEMM doesn't build with latest PyTorch HOT 2
- fbgemm_gpu doesn't build for CPU because impl_abstract_pystub is not found HOT 1
- [FBGEMM_GPU Question] When should I use FusedEmbeddingBagCollection over EmbeddingBagCollection?
- [Question] What does device / embedding_specs.compute_device parameter in ctor of TBE mean? HOT 4
- AttributeError: '_OpNamespace' 'fbgemm' object has no attribute 'jagged_2d_to_dense' HOT 5
- Building error after C++20 HOT 3
- quantize_embeddings + KeyedJaggedTensor+ vbe cannot work
- AttributeError: '_OpNamespace' 'fbgemm' object has no attribute 'jagged_2d_to_dense' HOT 2
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