mindspore.ops.Addcmul
- class mindspore.ops.Addcmul[源代码]
Performs the element-wise product of tensor x1 and tensor x2, multiply the result by the scalar value and add it to input_data.
\[output[i] = input\_data[i] + value[i] * (x1[i] * x2[i])\]- Inputs:
input_data (Tensor) - The tensor to be added.
x1 (Tensor) - The tensor to be multiplied.
x2 (Tensor) - The tensor to be multiplied.
value (Tensor) - The multiplier for tensor x1*x2.
- Outputs:
Tensor, has the same shape and dtype as x1*x2.
- Raises
TypeError – If dtype of x1, x2, value, input_data is not tensor.
TypeError – If dtype of input_data is not one of: float32, float16, int32.
TypeError – If dtype of x1 or x2 is not one of: float32, float16, int32.
TypeError – If dtype of value is not one of: float32, float16, int32.
ValueError – If x1 could not be broadcast to a tensor with shape of x2.
ValueError – If value could not be broadcast to tensors with shapes of x1 * x2.
ValueError – If input_data could not be broadcast to tensors with shapes of value*(x1*x2).
- Supported Platforms:
Ascend
CPU
Examples
>>> input_data = 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) >>> addcmul = ops.Addcmul() >>> y = addcmul(input_data, x1, x2, value) >>> print(y) [[ 2. 3. 4.] [ 3. 5. 7.] [ 4. 7. 10.]]