For the complete documentation index, see llms.txt. Markdown versions of all pages are available by appending .md to any URL (e.g. /get-started.md).

Mojo module

resize

Implements tensor resize (upsample/downsample) with nearest, bilinear, and other interpolation modes.

Structs

• ​CoordinateTransformationMode: Specifies how output coordinates map to input coordinates during resize.
• ​InterpolationMode: Specifies the interpolation method used during resize.
• ​Interpolator: Holds interpolation filter state and applies the filter for a given interpolation mode.
• ​RoundMode: Specifies how fractional coordinates are rounded to integer indices during nearest-neighbor resize.

Functions

• ​coord_transform: Maps an output coordinate to an input coordinate according to the given transformation mode.
• ​interpolate_point_1d: Computes one-dimensional interpolation for a single output point along a given dimension.
• ​linear_filter: This is a tent filter.
• ​resize_linear: Resizes input to output shape using linear interpolation.
• ​resize_nearest_neighbor: Resizes input to output shape using nearest-neighbor interpolation.