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faq.md

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FAQ - Frequently Asked Questions

1. Error reported when using ms.SummaryCollector to collect data.

issue 522: [ERROR][mindspore/train/summary/_summary_adapter.py:363] The dimension of Summary tensor should be 4 or second dimension should be 1 or 3, but got tag = input_data/auto, ndim = 4, shape=(2, 512, 512, 3), which means Summary tensor is not Image.

Answer:

(1) Due to the requirement of collect_input_data, the input data format for the second dimension is channels, while the input data format for sdv2 is (batch_size, H, W, channels), and the fourth dimension is channels, the above error will be reported.

(2) Currently not supported for collect_input_data to collect data. Please set collect_input_data is False for ms.SummaryCollector. For example:

   interval_1 = [x for x in range(1, 4)]
   specified = {"collect_metric": True, "histogram_regular": "^conv1.|^conv2.", "collect_graph": True,
    "collect_dataset_graph": True,"collect_train_lineage":True,"collect_input_data":False,
    'collect_landscape': {'landscape_size': 40,'unit': "epoch",'create_landscape': {'train': True,'result': False},
    'num_samples': 32,'intervals': [interval_1]}
    }
   summary_collector = ms.SummaryCollector(summary_dir="./summary_dir/summary_01", collect_specified_data=specified,
    collect_freq=12, keep_default_action=False)
   callback.append(summary_collector)