mindspore.Tensor.addcmul
- Tensor.addcmul(x1, x2, value)[source]
Performs the element-wise product of tensor x1 and tensor x2, multiply the result by the scalar value and add it to input_data.
\[y[i] = input\_data[i] + value[i] * (x1[i] * x2[i])\]- Parameters
- 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.]]