mindspore.Tensor.addcmul

Tensor.addcmul(x1, x2, value)

Performs the element-wise product of tensor x1 and tensor x2, multiply the result by the scalar value and add it to input_data.

$$y[i]=input\mathrm{\_}data[i]+value[i]\ast (x1[i]\ast x2[i])$$

Parameters

• x1 (Tensor) – The tensor to be multiplied.

• x2 (Tensor) – The tensor to be multiplied.

• value (Tensor) – The multiplier for tensor x1*x2.

Returns

Tensor, has the same shape and dtype as x1*x2.

Supported Platforms:

Ascend GPU CPU

Examples

>>> x = Tensor(np.array([1, 1, 1]), mindspore.float32)
>>> x1 = Tensor(np.array([[1], [2], [3]]), mindspore.float32)
>>> x2 = Tensor(np.array([[1, 2, 3]]), mindspore.float32)
>>> value = Tensor([1], mindspore.float32)
>>> y = x.addcmul(x1, x2, value)
>>> print(y)
[[ 2.  3.  4.]
[ 3.  5.  7.]
[ 4.  7. 10.]]