np_array = data.to_numpy() #将NumPy数组转换为PyTorch张量 tensor = torch.from_numpy(np_array) print(tensor) 在这个例子中,我们首先使用Pandas库从CSV文件中读取数据,然后将数据转换为NumPy数组。接着,我们使用torch.from_numpy()函数将NumPy数组转换为PyTorch张量。这样
I've just noticed that s = torch.Size(np.array([1, 2, 3])) type(s[0]) returns <class 'numpy.int64'> whereas s = torch.Size(torch.tensor([1, 2, 3])) type(s[0]) gives a int. These two things are not interchangeable, yet it seems np.ndarray...
kshitij12345added themodule: numpyRelated to numpy support, and also numpy compatibility of our operatorslabelSep 4, 2021 kshitij12345changed the title[numpy] torch.nonzero is similar np.argwhere not np.nonzeroSep 4, 2021 mruberryadded thetriagedThis issue has been looked at a team member, and...
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