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This adds a non-blocking mode to queue_pop. This allows for workers to poll if work is ready without blocking the main loop. This is useful for the case where you want to have a GPU have maximum utilization when something only periodically is sent on the queue. We also expose a `torch.distributed.QueueEmptyError` so users can catch the error and handle it accordingly. Test plan: ``` pytest test/distributed/test_store.py -k queue -v -s -x ``` Pull Request resolved: https://github.com/pytorch/pytorch/pull/151485 Approved by: https://github.com/fduwjj, https://github.com/tianfengfrank |
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| .. | ||
| _dynamo | ||
| __init__.pyi.in | ||
| _aoti.pyi | ||
| _autograd.pyi | ||
| _cpu.pyi | ||
| _cudnn.pyi | ||
| _cusparselt.pyi | ||
| _distributed_autograd.pyi | ||
| _distributed_c10d.pyi | ||
| _distributed_rpc_testing.pyi | ||
| _distributed_rpc.pyi | ||
| _export.pyi | ||
| _functions.pyi | ||
| _functorch.pyi | ||
| _instruction_counter.pyi | ||
| _itt.pyi | ||
| _lazy_ts_backend.pyi | ||
| _lazy.pyi | ||
| _monitor.pyi | ||
| _nn.pyi.in | ||
| _nvtx.pyi | ||
| _onnx.pyi | ||
| _profiler.pyi | ||
| _VariableFunctions.pyi.in | ||
| _verbose.pyi | ||
| build.bzl | ||
| return_types.pyi.in | ||