mindspore中如何将MapDataset数据类型转换为Tensor类型

To convert a MapDataset to a Tensor type in MindSpore, you can use the `batch()` method followed by the `Map()` method. Here is an example code snippet:

import mindspore.dataset as ds

# Create a MapDataset object
ds_map = ds.MapDataset(dataset, operations=...)

# Convert the MapDataset to a Tensor type
ds_tensor = ds_map.batch(batch_size).map(operations=..., input_columns=..., output_columns=..., column_order=...)

Note that the `map()` method is used to define the transformations that need to be applied to the data before converting it to a Tensor type. The `input_columns` and `output_columns` parameters specify which columns to apply the transformations to, and the `column_order` parameter specifies the order of the output columns.