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Mojo function

resize_linear

def resize_linear[coordinate_transformation_mode: CoordinateTransformationMode, antialias: Bool, dtype: DType](input: TileTensor[dtype, linear_idx_type=input.linear_idx_type, element_size=input.element_size], output: TileTensor[dtype, linear_idx_type=output.linear_idx_type, element_size=output.element_size])

Resizes input to output shape using linear interpolation.

Does not use anti-aliasing filter for downsampling (coming soon).

Parameters:

coordinate_transformation_mode (CoordinateTransformationMode): How to map a coordinate in output to a coordinate in input.
antialias (Bool): Whether or not to use an antialiasing linear/cubic filter, which when downsampling, uses more points to avoid aliasing artifacts. Effectively stretches the filter by a factor of 1 / scale.
dtype (DType): Type of input and output.

Args:

input (TileTensor[dtype, linear_idx_type=input.linear_idx_type, element_size=input.element_size]): The input to be resized.
output (TileTensor[dtype, linear_idx_type=output.linear_idx_type, element_size=output.element_size]): The output containing the resized input.