mindspore.dataset.dataloader.default_convert

mindspore.dataset.dataloader.default_convert(data)

Convert each NumPy array element into a mindspore.Tensor.

If the input is a Sequence, Collection, or Mapping, it tries to convert each element inside to a mindspore.Tensor. If the input is not an NumPy array, it is left unchanged. This is used as the default function for collation when both batch_sampler and batch_size are NOT defined in mindspore.dataset.dataloader.DataLoader.

The general input type to output type mapping is similar to that of mindspore.dataset.dataloader.DataLoader.default_collate(). See the description there for more details.

Parameters

data – a single data point to be converted