forked from OSSInnovation/mindspore
!3465 modify time_monitor
Merge pull request !3465 from changzherui/mod_monitor
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commit
d48404abe7
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@ -16,13 +16,19 @@
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import time
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import time
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from mindspore import log as logger
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from ._callback import Callback
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from ._callback import Callback
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class TimeMonitor(Callback):
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class TimeMonitor(Callback):
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"""Time Monitor."""
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"""
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Monitor the time in training.
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def __init__(self, data_size):
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Args:
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data_size (int): Dataset size. Default: None.
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"""
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def __init__(self, data_size=None):
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super(TimeMonitor, self).__init__()
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super(TimeMonitor, self).__init__()
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self.data_size = data_size
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self.data_size = data_size
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@ -30,6 +36,17 @@ class TimeMonitor(Callback):
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self.epoch_time = time.time()
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self.epoch_time = time.time()
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def epoch_end(self, run_context):
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def epoch_end(self, run_context):
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epoch_mseconds = (time.time() - self.epoch_time) * 1000
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epoch_seconds = (time.time() - self.epoch_time) * 1000
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per_step_mseconds = epoch_mseconds / self.data_size
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step_size = self.data_size
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print("Epoch time: {:5.3f}, per step time: {:5.3f}".format(epoch_mseconds, per_step_mseconds), flush=True)
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cb_params = run_context.original_args()
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if hasattr(cb_params, "batch_num"):
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batch_num = cb_params.batch_num
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if isinstance(batch_num, int) and batch_num > 0:
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step_size = cb_params.batch_num
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if not isinstance(step_size, int) or step_size < 1:
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logger.error("data_size must be positive int.")
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return
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step_seconds = epoch_seconds / step_size
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print("Epoch time: {:5.3f}, per step time: {:5.3f}".format(epoch_seconds, step_seconds), flush=True)
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