Tensor

Scalar value

In order to handle numpy scalar values, we allow a tensor to have a no dimension (nb_dims==0) but a size of 1.

In the case of a Tensor with no values (nullptr), we need to have nbdims==0 and size==0.

This means that a simple check on the number of dimension is not enough to verify if an element is empty or not !

This behavior is required to have the best interroperability with numpy array:

>>> import numpy as np
>>> a = np.array(5)
>>> b = np.array([4])
>>> a.size
1
>>> a.ndim
0
>>> a.shape
()
>>> b.size
1
>>> a.ndim
0
>>> b.shape
(1,)

Also see Python documentation:

-Py Buffer protocol shape: https://docs.python.org/3/c-api/buffer.html#c.Py_buffer.shape- -Numpy Style array: https://docs.python.org/3/c-api/buffer.html#numpy-style-shape-and-strides