Contents

init(sequenceLength:featureChannelCount:batchSize:randomInitializerType:)

Creates a tensor with the sequence length, number of feature channels, batch size, and random initializer type you specify.

Declaration

convenience init(sequenceLength: Int, featureChannelCount: Int, batchSize: Int, randomInitializerType: MLCRandomInitializerType)

Parameters

  • sequenceLength:

    The length of sequences stored in the tensor.

  • featureChannelCount:

    The number of feature channels.

  • batchSize:

    The tensor batch size.

  • randomInitializerType:

    The random initializer type you use to generate random data.

See Also

Creating Tensors by Specifying Sequence Lengths