cuda.tile.Array

class cuda.tile.Array

Type stub for array objects.

property dtype

The data type of the array’s elements.

Return type:

DType (constant)

property shape

The number of elements in each of the array’s dimensions.

Return type:

tuple[int32,…]

property strides

The number of elements to step in each dimension while traversing the array.

Return type:

tuple[int32,…]

property ndim

The number of dimensions in the array.

Return type:

int (constant)

slice(axis, start, stop)

Creates a view of the array sliced along a single axis.

The returned array references the same underlying memory as array, but with a restricted range from index start (inclusive) to stop (exclusive) along the specified axis. No data is copied.

axis must be a constant integer. Negative values are supported and count from the last dimension (e.g., axis=-1 refers to the last axis).

start and stop must be integers (scalars or 0D tiles). They must satisfy 0 <= start < N and start <= stop <= N, where N is the size of array along the sliced axis.

For example, consider a 2-dimensional array A of shape (M, N). Slicing along axis 0 from start to stop:

>>> sub = A.slice(axis=0, start=start, stop=stop)

The result sub will be an array of shape (stop - start, N). Using NumPy slice notation for illustration, this is equivalent to:

sub = A[start:stop, :]  # NumPy notation for reference only

The slice bounds can be dynamic (runtime values):

>>> # Process variable-length segments
>>> segment = A.slice(axis=1, start=offset, stop=offset + length)
>>> tile = ct.load(segment, (0, 0), shape=(TILE_M, TILE_N))