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
- 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.]]]