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TypeError: linspace() missing 1 required positional arguments: "steps"
in 02_DL_meets_PyTorch)/初识PyTorch basics.ipynb
when I run
x = torch.linspace(0, 100).type(torch.FloatTensor)
I get
TypeError: linspace() missing 1 required positional arguments: "steps"
PyTorch version is 1.13.0
bug found
in "手写数字识别器_minst_convnet.ipynb"
in def forward()
x = F.log_softmax(x, dim = 0) #输出层为log_softmax，即概率对数值log(p(x))。采用log_softmax可以使得后面的交叉熵计算更快
here the dim should be 1 because we see dim=0 as per data line
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