Given an input and a flow-field grid, computes the output using input values and pixel locations from grid. Currently, only spatial (4-D) and volumetric (5-D) input are supported.

Jan 6, 2020 · Your input tensor has a shape of 1x32x296x400, that is, you have a single example in the batch with 32 channels and spatial dimensions of 296x400 pixels.

Sep 11, 2025 · Imagine you have an image and a separate grid of coordinates. grid_sample takes these coordinates and samples the pixel values from the image at those specific points, …

Nov 5, 2025 · grid specifies the sampling pixel locations normalized by the input spatial dimensions. Therefore, it should have most values in the range of ⁠[-1, 1]⁠. For example, values …

May 3, 2020 · When align_corners = True, the grid positions depend on the pixel size relative to the input image size, and so the locations sampled by grid_sample() will differ for the same …

May 25, 2022 · Grid_sample is more flexible and can perform any form of warping of the input grid. The warping grid can specify the position where each element in the input will end up in …

Interpolates an input tensor into an output tensor using a grid tensor containing pixel coordinates. The pixel coordinates are normalized from the input dimensions range into the [1, 1] range.

Sep 5, 2025 · Given an input X and a flow-field grid, computes the output Y using X values and pixel locations from the grid. For spatial input X with shape (N, C, H, W), the grid will have …

Defining a Grid To define a grid use new values of the display property `grid` or `inline-grid`. You can then create column and row tracks.

Python function of Pytorch Grid Sample with Zero Padding - pytorch_grid_sample_python/pytorch_grid_sample_python.md at main · …