wehub-resource-sync
68 lines
2.8 KiB
Python
68 lines
2.8 KiB
Python
# Copyright (c) Microsoft Corporation.
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# SPDX-License-Identifier: Apache-2.0
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# DeepSpeed Team
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from .monitor import Monitor
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import os
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import deepspeed.comm as dist
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class csvMonitor(Monitor):
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def __init__(self, csv_config):
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super().__init__(csv_config)
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self.filenames = []
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self.enabled = csv_config.enabled
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self.output_path = csv_config.output_path
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self.job_name = csv_config.job_name
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self.log_dir = self.setup_log_dir()
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def setup_log_dir(self, base=os.path.join(os.path.expanduser("~"), "csv_monitor")):
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if self.enabled and dist.get_rank() == 0:
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if self.output_path is not None:
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log_dir = os.path.join(self.output_path, self.job_name)
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# NOTE: This code path currently is never used since the default tensorboard_output_path is an empty string and not None. Saving it in case we want this functionality in the future.
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else:
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if "DLWS_JOB_ID" in os.environ:
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infra_job_id = os.environ["DLWS_JOB_ID"]
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elif "DLTS_JOB_ID" in os.environ:
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infra_job_id = os.environ["DLTS_JOB_ID"]
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else:
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infra_job_id = "unknown-job-id"
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csv_monitor_dir_name = os.path.join(infra_job_id, "logs")
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log_dir = os.path.join(base, csv_monitor_dir_name, self.job_name)
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os.makedirs(log_dir, exist_ok=True)
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return log_dir
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def write_events(self, event_list):
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if self.enabled and dist.get_rank() == 0:
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import csv
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# We assume each event_list element is a tensorboard-style tuple in the format: (log_name: String, value, step: Int)
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for event in event_list:
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log_name = event[0]
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value = event[1]
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step = event[2]
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# Set the header to the log_name
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# Need this check because the deepspeed engine currently formats log strings to separate with '/'
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if '/' in log_name:
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record_splits = log_name.split('/')
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header = record_splits[len(record_splits) - 1]
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else:
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header = log_name
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# sanitize common naming conventions into filename
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filename = log_name.replace('/', '_').replace(' ', '_')
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fname = self.log_dir + '/' + filename + '.csv'
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# Open file and record event. Insert header if this is the first time writing
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with open(fname, 'a+') as csv_monitor_file:
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csv_monitor_writer = csv.writer(csv_monitor_file)
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if filename not in self.filenames:
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self.filenames.append(filename)
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csv_monitor_writer.writerow(['step', header])
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csv_monitor_writer.writerow([step, value])
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