With the following code I get a (none, none) tensor containing a matrix rather than a 3x4 matrix turned into a 3x4 tensor: import numpy as np from aesara import shared x_test = shared(np.random.randn(3,4)) print(x_test) <TensorType(float64, (None, None))> How can I make this a Tensor type wi…

You can pass a shape argument to the shared constructor. Otherwise shared variables are resizeable by default. x = shared(np.zeros((3, 4)), shape=(3, 4))

Unable to turn NumPy array with shape 3x4 into Tensor with shape 3x4 in Aesara

Questions v5

cluhmann January 15, 2023, 9:40pm 2

I think some related discussion came up here.

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Unable to turn NumPy array with shape 3x4 into Tensor with shape 3x4 in Aesara

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