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Mojo function

interpolate_point_1d

def interpolate_point_1d[InputLayoutType: TensorLayout, //, coordinate_transformation_mode: CoordinateTransformationMode, antialias: Bool, dtype: DType, interpolation_mode: InterpolationMode](interpolator: Interpolator[interpolation_mode], dim: Int, out_coords: IndexList[InputLayoutType.rank], scale: Float32, input: TileTensor[dtype, InputLayoutType, Storage=input.Storage, linear_idx_type=input.linear_idx_type], output: TileTensor[dtype, Storage=output.Storage, linear_idx_type=output.linear_idx_type])

Computes one-dimensional interpolation for a single output point along a given dimension.

Parameters:

InputLayoutType (TensorLayout): The layout type of the input tensor.
coordinate_transformation_mode (CoordinateTransformationMode): The coordinate transformation mode to apply.
antialias (Bool): Whether to stretch the filter to antialias when downsampling.
dtype (DType): The element type of the input and output tensors.
interpolation_mode (InterpolationMode): The interpolation mode to use.

Args:

interpolator (Interpolator[interpolation_mode]): The interpolator providing the filter function.
dim (Int): The dimension along which to interpolate.
out_coords (IndexList[InputLayoutType.rank]): The multi-dimensional coordinates of the output point.
scale (Float32): The ratio of output dimension size to input dimension size.
input (TileTensor[dtype, InputLayoutType, Storage=input.Storage, linear_idx_type=input.linear_idx_type]): The input tensor to read from.
output (TileTensor[dtype, Storage=output.Storage, linear_idx_type=output.linear_idx_type]): The output tensor to write the interpolated value to.