首页pytorch张量的维度

pytorch张量的维度

时间: 2023-11-06 22:05:32 浏览: 90

python_卷积层的[1412.6553]和[1511.06530]张量分解方法的Pytorch实现

Train a model based on fine tuning VGG16: python main.py --train. There should be a dataset with two categories. One directory for each category. Training data should go into a directory called 'train'. Testing data should go into a directory called 'test'. This can be controlled with the flags --train_path and --test_path. I used the Kaggle Cats/Dogs dataset. The model is then saved into a file called "model". Perform a decomposition: python main.py --decompose This saves the new model into

PyTorch张量的维度可以从0维到任意高维。0维张量也被称为零维张量，它只包含一个元素，但不是一个单独的数，而是一个拥有张量属性的数。高维张量是指三维及三维以上的张量。可以使用张量的ndim属性查看张量的维度，使用shape或size()方法查看张量的形状，使用numel()方法查看张量中元素的个数。

阅读全文