Benson Ma
Benson Ma
Closing, as the issue appears to be resolved. Please feel free to open a new ticket if the issue is observed again.
Hi @JacoCheung `ComputeDevice` specifies the TBE kernel variant (i.e. will the kernel execute on the CPU or CUDA) that will be applied to each embedding table. `EmbeddingLocation` specifies the target...
@JacoCheung If `ComputeDevice==CPU`, then `EmbeddingLocation` must be `CPU `; see https://github.com/pytorch/FBGEMM/blob/main/fbgemm_gpu/fbgemm_gpu/split_table_batched_embeddings_ops_training.py#L422
Hi @Elllllllvin unfortunately FBGEMM_GPU doesn't support Windows at the moment, as there is Linux-dependent code in parts of the codebase. It may be possible to install FBGEMM_GPU on Windows through...
Hi @jerryzh168 this looks strange, how are you installing fbgemm_gpu?
Replied in https://github.com/pypi/support/issues/5902, please see my comments
Hi @gshimansky, thanks for pointing out the bug. This is being addressed in https://github.com/pytorch/FBGEMM/pull/2363
Hi @lalala-2 I believe @bobbyliujb is working on this over at https://github.com/pytorch/FBGEMM/pull/4429
Hi @nikhil-tensorwave Starting from 1.2.0, FBGEMM_GPU ROCm is now properly distributed as a variant on download.pytorch.org: ``` pip install torch --index-url https://download.pytorch.org/whl/rocm6.3/ pip install fbgemm-gpu --index-url https://download.pytorch.org/whl/rocm6.3/ ```
@cyyever the tests are failing, but we have fixed a number of CI issues over the last 3 days. Could you rebase and try again?