mindspore.numpy.inner

mindspore.numpy.inner(a, b)[source]

Returns the inner product of two tensors.

Ordinary inner product of vectors for 1-D tensors (without complex conjugation), in higher dimensions a sum product over the last axes.

Note

Numpy argument out is not supported.
On GPU, the supported dtypes are np.float16, and np.float32.
On CPU, the supported dtypes are np.float16, np.float32, and np.float64.

Parameters:

a (Tensor) – Input tensor. If a and b are nonscalar, their last dimensions must match.
b (Tensor) – Input tensor. If a and b are nonscalar, their last dimensions must match.

Returns:

Tensor or scalar.

Raises:

ValueError – If x1.shape[-1] != x2.shape[-1].

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> a = np.ones((5, 3))
>>> b = np.ones((2, 7, 3))
>>> output = np.inner(a, b)
>>> print(output)
[[[3. 3. 3. 3. 3. 3. 3.]
[3. 3. 3. 3. 3. 3. 3.]]
[[3. 3. 3. 3. 3. 3. 3.]
[3. 3. 3. 3. 3. 3. 3.]]
[[3. 3. 3. 3. 3. 3. 3.]
[3. 3. 3. 3. 3. 3. 3.]]
[[3. 3. 3. 3. 3. 3. 3.]
[3. 3. 3. 3. 3. 3. 3.]]
[[3. 3. 3. 3. 3. 3. 3.]
[3. 3. 3. 3. 3. 3. 3.]]]