Webtorch.Tensor.apply_ — PyTorch 2.0 documentation torch.Tensor.apply_ Tensor.apply_(callable) → Tensor Applies the function callable to each element in the tensor, replacing each element with the value returned by callable. Note This function only works with CPU tensors and should not be used in code sections that require high … Webtorch.nn.functional Convolution functions Pooling functions Non-linear activation functions Linear functions Dropout functions Sparse functions Distance functions Loss functions Vision functions torch.nn.parallel.data_parallel Evaluates module (input) in parallel across the GPUs given in device_ids.

R : How to apply function to each row of dataframe in R?

WebNov 28, 2024 · 1 Answer Sorted by: 1 Let's try: new_shape= (-1,)+tensor_4d.shape [2:] out = (torch.stack ( [apply_function (t) for t in tensor_4d.view (new_shape)], axis=-1) .reshape (new_shape) ) Share Improve this answer Follow answered Nov 28, 2024 at 15:10 Quang Hoang 142k 10 53 70 Add a comment Your Answer WebOct 6, 2024 · It seems that this does the job: def apply (func, M): tList = [func (m) for m in torch.unbind (M, dim=0) ] res = torch.stack (tList, dim=0) return res apply (torch.inverse, torch.randn (100, 200, 200)) but I am wondering if there is a more efficient approach. cher movie moon

torch.Tensor.apply_ — PyTorch 2.0 documentation

WebArray : Is there a way to apply a numpy function that takes two 1d arrays as arguments on each row of two 2d arrays together?To Access My Live Chat Page, On ... WebR : How to apply function to each row of dataframe in R?To Access My Live Chat Page, On Google, Search for "hows tech developer connect"I promised to reveal ... WebI would like to figure out a way to apply a function which calculates pairwise distances, let's call it dists (A, B), row-wise for every input element in a batch, meaning: (100, 16, 3) -- input, 100 is the batch size so 100 instances, 16 is let's say image size, and 3 … flights from latrobe pa to california