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https://github.com/bigscience-workshop/petals
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Show tracebacks in case of empty error messages
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c6e1b5a8e5
commit
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@ -2,6 +2,7 @@ from __future__ import annotations
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import asyncio
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import itertools
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import logging
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import time
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from typing import AsyncIterator, List, Optional
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@ -18,7 +19,6 @@ from hivemind import (
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from hivemind.moe.client.remote_expert_worker import RemoteExpertWorker
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from hivemind.p2p import StubBase
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from hivemind.proto import runtime_pb2
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from hivemind.utils.asyncio import aiter_with_timeout
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from src.client.sequence_manager import RemoteSequenceManager
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from src.data_structures import CHAIN_DELIMITER, ModuleUID, RemoteSpanInfo, RPCInfo
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@ -300,7 +300,8 @@ class InferenceSession:
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f"Caught exception when running inference from block {block_idx} "
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f"(retry in {delay:.0f} sec): {repr(e)}"
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)
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logger.debug("See detailed traceback below:", exc_info=True)
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traceback_level = logging.DEBUG if e.message else logging.WARNING
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logger.log(traceback_level, "See detailed traceback below:", exc_info=True)
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time.sleep(delay)
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self._position += n_input_tokens
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@ -3,6 +3,7 @@ A PyTorch autograd function that runs forward/backward on a sequence of remote s
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"""
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import asyncio
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import itertools
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import logging
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from collections import deque
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from typing import List, Optional, Sequence, Tuple
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@ -86,7 +87,8 @@ async def sequential_forward(
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f"Caught exception when running forward from block {block_idx} "
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f"(retry in {delay:.0f} sec): {repr(e)}"
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)
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logger.debug("See detailed traceback below:", exc_info=True)
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traceback_level = logging.DEBUG if e.message else logging.WARNING
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logger.log(traceback_level, "See detailed traceback below:", exc_info=True)
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await asyncio.sleep(delay)
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return outputs, intermediate_inputs, done_sequences
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@ -146,7 +148,8 @@ async def sequential_backward(
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f"Caught exception when running backward between blocks {span.start}-{span.end} "
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f"(retry in {delay:.0f} sec): {repr(e)}"
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)
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logger.debug("See detailed traceback below:", exc_info=True)
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traceback_level = logging.DEBUG if e.message else logging.WARNING
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logger.log(traceback_level, "See detailed traceback below:", exc_info=True)
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await asyncio.sleep(delay)
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# For now, we do not support mixed dummy and grad prompts
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