Zha0q1 opened a new issue #19441:
URL: https://github.com/apache/incubator-mxnet/issues/19441
This is how we define the numpy vdot operator. I think by calling
`.flatten()` we basically create a copy of the input so the grad of the
original input is not updated
```python
@set_module('mxnet.ndarray.numpy')
def vdot(a, b):
r"""
Return the dot product of two vectors.
Note that `vdot` handles multidimensional arrays differently than `dot`:
it does *not* perform a matrix product, but flattens input arguments
to 1-D vectors first. Consequently, it should only be used for vectors.
Parameters
----------
a : ndarray
First argument to the dot product.
b : ndarray
Second argument to the dot product.
Returns
-------
output : ndarray
Dot product of `a` and `b`.
See Also
--------
dot : Return the dot product without using the complex conjugate of the
first argument.
Examples
--------
Note that higher-dimensional arrays are flattened!
>>> a = np.array([[1, 4], [5, 6]])
>>> b = np.array([[4, 1], [2, 2]])
>>> np.vdot(a, b)
30
>>> np.vdot(b, a)
30
>>> 1*4 + 4*1 + 5*2 + 6*2
30
"""
return tensordot(a.flatten(), b.flatten(), 1)
```
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