首页基于pytorch构建一个张量

基于pytorch构建一个张量

时间: 2023-11-14 19:13:47 浏览: 98

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

要基于PyTorch构建一个张量，可以使用torch.Tensor()函数来创建一个新的张量。以下是一个例子： ``` import torch # 创建一个3x3的张量，每个元素都是0 tensor = torch.Tensor(3, 3) # 打印张量 print(tensor) ``` 这个代码会创建一个3x3的张量，其中每个元素都是0。你可以在Tensor()函数中传入任意维度和形状的参数来创建张量。

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