See different approaches and examples using torch.linspace, torch.repeat and. This is helpful when you want to visualize data over some range. We recently ran into this problem from two directions, in one case numpy ordering was preferrable, and.
torch.meshgrid()的作用及用法CSDN博客
A user asks how to use torch.meshgrid with a list of batched 1d tensors, instead of a list of 1d tensors.
Pytorch meshgrid is a utility function that creates a grid of points in arbitrary dimensions.
Another user suggests using torch.meshgrid function to. Converts a tensor from an external library into a torch.tensor. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the. See the source code, the argument description and a simple example of.
Torch.meshgrid torch.meshgrid(*tensors, indexing=none) creates grids of coordinates specified by the 1d inputs in attr:tensors. The following are 30 code examples of torch.meshgrid(). It is primarily used for creating 2d and 3d data visualizations. Returns a tensor filled with the.
Another user suggests a solution using a loop and stacking the zipped meshes.
Torch.meshgrid makes more sense when you extend meshgrid to higher dimensions. A discussion thread about how to create a meshgrid in pytorch, a neural network library.
