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59 lines
2.4 KiB
Python
59 lines
2.4 KiB
Python
# Copyright (c) 2020, NVIDIA CORPORATION. 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 logging as _logging
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from logging.handlers import MemoryHandler
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import lightning.pytorch as pl
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HANDLERS = {}
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PATCHED = False
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def add_memory_handlers_to_pl_logger():
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"""
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Adds two MemoryHandlers to pytorch_lightning's logger. These two handlers are essentially message buffers. This
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function is called in nemo.utils.__init__.py. These handlers are used in add_filehandlers_to_pl_logger to flush
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buffered messages to files.
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"""
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if not HANDLERS:
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HANDLERS["memory_err"] = MemoryHandler(-1)
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HANDLERS["memory_err"].addFilter(lambda record: record.levelno > _logging.INFO)
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HANDLERS["memory_all"] = MemoryHandler(-1)
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pl._logger.addHandler(HANDLERS["memory_err"])
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pl._logger.addHandler(HANDLERS["memory_all"])
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def add_filehandlers_to_pl_logger(all_log_file, err_log_file):
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"""
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Adds two filehandlers to pytorch_lightning's logger. Called in nemo.utils.exp_manager(). The first filehandler
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logs all messages to all_log_file while the second filehandler logs all WARNING and higher messages to err_log_file.
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If "memory_err" and "memory_all" exist in HANDLERS, then those buffers are flushed to err_log_file and all_log_file
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respectively, and then closed.
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"""
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HANDLERS["file"] = _logging.FileHandler(all_log_file)
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pl._logger.addHandler(HANDLERS["file"])
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HANDLERS["file_err"] = _logging.FileHandler(err_log_file)
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HANDLERS["file_err"].addFilter(lambda record: record.levelno > _logging.INFO)
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pl._logger.addHandler(HANDLERS["file_err"])
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if HANDLERS.get("memory_all", None):
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HANDLERS["memory_all"].setTarget(HANDLERS["file"])
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HANDLERS["memory_all"].close()
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del HANDLERS["memory_all"]
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if HANDLERS.get("memory_err", None):
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HANDLERS["memory_err"].setTarget(HANDLERS["file_err"])
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HANDLERS["memory_err"].close()
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del HANDLERS["memory_err"]
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