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	Fix ontinuing Tasks with tensorflow sometimes result in wrong initial iteration (#762)
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				| @ -726,6 +726,16 @@ class EventTrainsWriter(object): | ||||
|                         'Received event without step, assuming step = {}'.format(step)) | ||||
|             else: | ||||
|                 step = int(step) | ||||
|             # unlike other frameworks, tensorflow already accounts for the iteration number | ||||
|             # when continuing the training. we substract the smallest iteration such that we | ||||
|             # don't increment the step twice number | ||||
|             step_before = step | ||||
|             if EventTrainsWriter._current_task: | ||||
|                 step -= EventTrainsWriter._current_task.get_initial_iteration() | ||||
|             # there can be a few metrics getting reported again, so the step can be negative | ||||
|             # for the first few reports | ||||
|             if step <= 0: | ||||
|                 return | ||||
|             self._max_step = max(self._max_step, step) | ||||
|             if value_dicts is None: | ||||
|                 LoggerRoot.get_base_logger(TensorflowBinding).debug("Summary arrived without 'value'") | ||||
|  | ||||
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