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https://github.com/huggingface/lerobot.git
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7e9f955b40
* fix(hil-serl): drain queue on get_last_item_from_queue * parametrize queue tests * revert changes for Darwin * revert parametrize queue tests * add test_get_last_item_multiple_items_with_torch_queue * update test_get_last_item_multiple_items_with_torch_queue * update test_get_last_item_multiple_items_with_torch_queue
53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
#!/usr/bin/env python
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# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import platform
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from contextlib import suppress
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from queue import Empty
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from typing import Any
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from torch.multiprocessing import Queue
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def get_last_item_from_queue(queue: Queue, block=True, timeout: float = 0.1) -> Any:
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if block:
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try:
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item = queue.get(timeout=timeout)
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except Empty:
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return None
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else:
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item = None
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# Drain queue and keep only the most recent parameters
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if platform.system() == "Darwin":
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# On Mac, avoid using `qsize` due to unreliable implementation.
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# There is a comment on `qsize` code in the Python source:
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# Raises NotImplementedError on Mac OSX because of broken sem_getvalue()
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try:
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while True:
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item = queue.get_nowait()
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except Empty:
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pass
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return item
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# Details about using qsize in https://github.com/huggingface/lerobot/issues/1523
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while queue.qsize() > 0:
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with suppress(Empty):
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item = queue.get_nowait()
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return item
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