sliceCopy
fun <T : DType, V> Tensor<T, V>.sliceCopy(builder: TensorSliceBuilder<T, V>.() -> Unit): Tensor<T, V>(source)
Creates a new tensor by copying data from the sliced region of this tensor.
This method provides backward compatibility with existing tensor operations that expect independent tensor instances. Unlike sliceView(), this creates a completely separate tensor with copied data.
Usage Example
val copy = tensor.sliceCopy {
segment { range(0, 10) }
segment { all() }
}
// `copy` is an independent tensor with copied dataContent copied to clipboard
Performance Characteristics
Data copy: Duplicates selected data into new tensor
Independent: No shared memory with parent tensor
Compatible: Works with all existing tensor operations
Return
a new Tensor containing copied data from the sliced region
Parameters
builder
the DSL block that configures the slicing operation
Throws
if slice configuration is invalid