Im trying out the visualization tutorial from https://www.mindspore.cn/tutorial/en/0.1.0-alpha/advanced_use/visualization_tutorials.html

[weitat95]

Environment

Hardware Environment(Ascend/GPU/CPU):

Uncomment only one /device <> line, hit enter to put that in a new line, and remove leading whitespaces from that line:

/device cpu

Software Environment:

• MindSpore version (source or binary): Binary
• Python version (e.g., Python 3.7.5): 3.7.7
• OS platform and distribution (e.g., Linux Ubuntu 16.04): 18.04.3
• GCC/Compiler version (if compiled from source):

Describe the current behavior

I'm receiving the following error. [INFO] MI(15347:140327913203520,MainProcess):2020-05-20-15:57:49.965.959 [mindinsight/lineagemgr/collection/model/model_lineage.py:113][LINEAGE] Initialize training lineage collection... [INFO] MI(15347:140327913203520,MainProcess):2020-05-20-15:57:49.967.030 [mindinsight/lineagemgr/collection/model/model_lineage.py:133][LINEAGE] Obtaining initial learning rate... [INFO] MI(15347:140327913203520,MainProcess):2020-05-20-15:57:49.968.592 [mindinsight/lineagemgr/collection/model/model_lineage.py:148][LINEAGE] Logging dataset graph... [INFO] MI(15347:140327913203520,MainProcess):2020-05-20-15:57:49.971.492 [mindinsight/lineagemgr/collection/model/model_lineage.py:156][LINEAGE] Dataset graph logged successfully. [ERROR] ME(15347:140327913203520,MainProcess):2020-05-20-15:57:51.184.584 [mindspore/train/summary/summary_record.py:164] The step(10) does not have record data. [ERROR] ME(15347:140327913203520,MainProcess):2020-05-20-15:57:51.320.727 [mindspore/train/summary/summary_record.py:164] The step(20) does not have record data. [ERROR] ME(15347:140327913203520,MainProcess):2020-05-20-15:57:51.466.587 [mindspore/train/summary/summary_record.py:164] The step(30) does not have record data.

Describe the expected behavior

Steps to reproduce the issue

1. Following the steps from https://www.mindspore.cn/tutorial/en/0.1.0-alpha/advanced_use/visualization_tutorials.html

Related log / screenshot

Special notes for this issue