Torch argmax top n

- modelがGPU、データがCPUみたいに混在した状態で扱おうとするとエラー停止しますので注意が必要です。. PyTorchがGPUを使用可能かどうかをtorch.cuda.is_available ()で調べられますので、以下を実行しておいてto (device)すればGPUが使用可能か否かで自動的に動作を ...
**torch.argmax**() is probably what you want- . print (np.
**argmax**(prediction)) But that gives me the output of 1. That's great but I would like to find out what's the index of 1 and then print out the Category instead of the highest value. import cv2 import tensorflow as tf import numpy as np CATEGORIES = ["Tree", "Stump", "Ground"] def prepare (filepath): IMG_SIZE = 150 # This value must be. **torch**.argmax(input, dim, keepdim=False) → LongTensor. Returns the indices of the maximum values of a tensor across a dimension. 从上面两个例子可知，**torch**.argmax(dim)会返回dim维度上张量最大值的索引。- Defend yourself against tracking and surveillance. Circumvent censorship. |