Allow to spawn workers inside daemon #1067
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bouthilx
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Jan 19, 2023
bouthilx
reviewed
Jan 19, 2023
bouthilx
reviewed
Jan 19, 2023
added 3 commits
January 20, 2023 12:36
bouthilx
reviewed
Feb 6, 2023
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| def has_pytorch(): |
bouthilx
reviewed
Feb 6, 2023
| self.pool_config = state["pool_config"] | ||
| backend = self.pool_config.get("backend") | ||
| n_workers = self.pool_config.get("n_workers", -1) | ||
| self.pool = PoolExecutor.BACKENDS.get(backend, ThreadPool)(n_workers) |
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I'm a bit unsure about this part. If the object is serialized and passed to the subprocess, the deserialization step will have the effect or creating another pool of n_workers, no?
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we maybe able to pass a queue instead to avoid creating multiple pools
but nesting the executor in general is a bit of a nono
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