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	Fix some plots and debug samples are missing for clearml examples
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				| @ -388,6 +388,7 @@ class EventTrainsWriter(object): | ||||
|                 imdata = base64.b64decode(img_str) | ||||
|             output = BytesIO(imdata) | ||||
|             im = Image.open(output) | ||||
|             image = np.asarray(im) | ||||
|             # if this is a GIF store as is | ||||
|             if getattr(im, 'is_animated', None): | ||||
|                 output.close() | ||||
| @ -398,7 +399,6 @@ class EventTrainsWriter(object): | ||||
|                 with open(fd, "wb") as f: | ||||
|                     f.write(imdata) | ||||
|                 return temp_file | ||||
|             image = np.asarray(im) | ||||
|             output.close() | ||||
|             if height is not None and height > 0 and width is not None and width > 0: | ||||
|                 val = image.reshape((height, width, -1)).astype(np.uint8) | ||||
| @ -731,8 +731,8 @@ class EventTrainsWriter(object): | ||||
|                 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 | ||||
|             if step < 0: | ||||
|                 step = 0 | ||||
|             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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