mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
4f13f69a45
Fixes https://github.com/pytorch/pytorch/issues/118129 Suppressions automatically added with ``` import re with open("error_file.txt", "r") as f: errors = f.readlines() error_lines = {} for error in errors: match = re.match(r"(.*):(\d+):\d+: error:.*\[(.*)\]", error) if match: file_path, line_number, error_type = match.groups() if file_path not in error_lines: error_lines[file_path] = {} error_lines[file_path][int(line_number)] = error_type for file_path, lines in error_lines.items(): with open(file_path, "r") as f: code = f.readlines() for line_number, error_type in sorted(lines.items(), key=lambda x: x[0], reverse=True): code[line_number - 1] = code[line_number - 1].rstrip() + f" # type: ignore[{error_type}]\n" with open(file_path, "w") as f: f.writelines(code) ``` Signed-off-by: Edward Z. Yang <ezyang@meta.com> Pull Request resolved: https://github.com/pytorch/pytorch/pull/118533 Approved by: https://github.com/Skylion007, https://github.com/zou3519
113 lines
3.1 KiB
Python
113 lines
3.1 KiB
Python
#!/usr/bin/env python3
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# Copyright (c) Facebook, Inc. and its affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the BSD-style license found in the
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# LICENSE file in the root directory of this source tree.
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import json
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from dataclasses import asdict, dataclass, field
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from enum import Enum
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from typing import Dict, Union, Optional
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__all__ = ['EventSource', 'Event', 'NodeState', 'RdzvEvent']
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EventMetadataValue = Union[str, int, float, bool, None]
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class EventSource(str, Enum):
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"""Known identifiers of the event producers."""
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AGENT = "AGENT"
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WORKER = "WORKER"
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@dataclass
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class Event:
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"""
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The class represents the generic event that occurs during the torchelastic job execution.
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The event can be any kind of meaningful action.
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Args:
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name: event name.
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source: the event producer, e.g. agent or worker
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timestamp: timestamp in milliseconds when event occurred.
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metadata: additional data that is associated with the event.
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"""
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name: str
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source: EventSource
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timestamp: int = 0
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metadata: Dict[str, EventMetadataValue] = field(default_factory=dict)
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def __str__(self):
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return self.serialize()
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@staticmethod
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def deserialize(data: Union[str, "Event"]) -> "Event":
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if isinstance(data, Event):
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return data
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if isinstance(data, str):
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data_dict = json.loads(data)
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data_dict["source"] = EventSource[data_dict["source"]] # type: ignore[possibly-undefined]
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return Event(**data_dict)
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def serialize(self) -> str:
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return json.dumps(asdict(self))
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class NodeState(str, Enum):
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"""The states that a node can be in rendezvous."""
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INIT = "INIT"
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RUNNING = "RUNNING"
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SUCCEEDED = "SUCCEEDED"
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FAILED = "FAILED"
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@dataclass
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class RdzvEvent:
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"""
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Dataclass to represent any rendezvous event.
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Args:
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name: Event name. (E.g. Current action being performed)
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run_id: The run id of the rendezvous
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message: The message describing the event
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hostname: Hostname of the node
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pid: The process id of the node
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node_state: The state of the node (INIT, RUNNING, SUCCEEDED, FAILED)
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master_endpoint: The master endpoint for the rendezvous store, if known
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rank: The rank of the node, if known
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local_id: The local_id of the node, if defined in dynamic_rendezvous.py
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error_trace: Error stack trace, if this is an error event.
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"""
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name: str
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run_id: str
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message: str
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hostname: str
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pid: int
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node_state: NodeState
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master_endpoint: str = ""
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rank: Optional[int] = None
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local_id: Optional[int] = None
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error_trace: str = ""
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def __str__(self):
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return self.serialize()
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@staticmethod
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def deserialize(data: Union[str, "RdzvEvent"]) -> "RdzvEvent":
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if isinstance(data, RdzvEvent):
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return data
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if isinstance(data, str):
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data_dict = json.loads(data)
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data_dict["node_state"] = NodeState[data_dict["node_state"]] # type: ignore[possibly-undefined]
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return RdzvEvent(**data_dict)
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def serialize(self) -> str:
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return json.dumps(asdict(self))
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