x and y must have same first dimension but have shapes

X And Y Must Have Same First Dimension But Have Shapes Code Would Have

They changed epoch self.optimizer.getlastepoch() 1 to epoch self.optimizer.getlastepoch() from test() in their commits on Aug 21, 2019 to support PyTorch 1.2.0.

This is why this error occur.

I keep getting the error that x and y do not have the same first dimension.

If they are lists, m x will not produce the result you expect, but an empty list.

Note that m is a numpy.float64 scalar, not a standard Python float.

In normal Python, multiplying a list with an integer just repeats the list.

X And Y Must Have Same First Dimension But Have Shapes Code Would Have

The best thing would have been to raise an error (so that you would have spotted the problem yourself instead of having to ask your question on Stackoverflow) or to just show the expected element-wise multiplication (in which your code would have just worked).

When the OP did m,bnp.polyfit(x,y,1), here you get m to be a float64 value, for example m0.642 in the above case.

Now when you try to multiply a float m with a list x, you end up getting an empty list.

It is because to multiply each element of a list with a value, you need to either convert the list to a numpy array or use the built in map function.

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