PyTorch NumPy-like Functions cheat sheet
# defining a tensor torch.tensor((values)) # define data type torch.tensor((values), dtype=torch.int16) # converting a NumPy array to a PyTorch tensor torch.from_numpy(numpyArray) # create a tensor of zeros torch.zeros((shape)) torch.zeros_like(other_tensor) # create a tensor of ones torch.ones((shape)) torch.ones_like(other_tensor) ................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.
Related download
- numpy and torch david i inouye
- machine learning pytorch tutorial 國立臺灣大學
- operationalizing pytorch models using onnx and onnx runtime
- eleg5491 introduction to deep learning pytorchbasics tutorial
- pytorch numpy like functions cheat sheet
- pytorch tutorial for beginner edu
- array to tensor pytorch
- nlp university of michigan
- automatic differentiation in pytorch github pages
- what is cupy nvidia
Related searches
- cheat sheet for word brain game
- macro cheat sheet pdf
- excel functions cheat sheet
- logarithm cheat sheet pdf
- excel formula cheat sheet pdf
- excel formulas cheat sheet pdf
- excel cheat sheet 2016 pdf
- trig functions cheat sheet
- excel functions cheat sheet pdf
- advanced excel functions cheat sheet
- microsoft word functions cheat sheet
- excel functions cheat sheet printable