Add accelerator API to RPC distributed examples: ddp_rpc, parameter_server, rnn#1371
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Signed-off-by: jafraustro <jaime.fraustro.valdez@intel.com>
- ddp_rpc - parameter_server - rnn Signed-off-by: jafraustro <jaime.fraustro.valdez@intel.com>
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failing CI |
Signed-off-by: jafraustro <jaime.fraustro.valdez@intel.com>
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I added numpy to requirement.txt files |
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still failing :D |
- Added a function to verify minimum GPU count before execution. - Updated HybridModel initialization to use rank instead of device. - Ensured proper cleanup of the process group to avoid resource leaks. - Added exit message if insufficient GPUs are detected. Signed-off-by: jafraustro <jaime.fraustro.valdez@intel.com>
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Hi @soumith, DDP step needs two gpu's. Fix:
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dvrogozh
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Jul 23, 2025
| @@ -1 +1,2 @@ | |||
| torch>=1.6.0 | |||
| torch>=2.7.1 | |||
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why 2.7.1 instead of 2.7? Were there any fixes in 2.7.1 which we need in this example?
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There are not
Rolling back to 2.7.0.
dvrogozh
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Jul 23, 2025
| else: | ||
| device = torch.device("cpu") | ||
| backend = torch.distributed.get_default_backend_for_device(device) | ||
| torch.accelerator.device_index(rank) |
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how setting torch.accelerator.device_index(rank) works for "cpu"? why it's not under torch.accelerator.is_available()?
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Remove CPU execution option since DDP requires 2 GPUs for this example.
- Remove CPU execution option since DDP requires 2 GPUs for this example. - Refine README.md for DDP RPC example clarity and detail Signed-off-by: jafraustro <jaime.fraustro.valdez@intel.com>
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thanks! |
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Add accelerator API to RPC distributed examples:
CC: @soumith