mindspore.ops.Addcdiv

class mindspore.ops.Addcdiv[源代码]

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

\[y[i] = input\_data[i] + value[i] * (x1[i] / x2[i])\]
Inputs:

  • input_data (Tensor) - The tensor to be added, with data type float16 and float32.

  • x1 (Tensor) - The numerator tensor, with data type float16 and float32.

  • x2 (Tensor) - The denominator tensor, with data type float16 and float32.

  • value (Tensor) - The multiplier for tensor x1/x2, with data type float16, float32.

Outputs:

Tensor y, 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.

  • TypeError – If dtype of x1 or x2 is not one of: float32, float16.

  • TypeError – If dtype of value is not one of: float32, float16.

  • 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

Examples

>>> input_data = Tensor(np.array([1, 1, 1, 1]), mindspore.float32)
>>> x1 = Tensor(np.array([1, 2, 3, 4]), mindspore.float32)
>>> x2 = Tensor(np.array([4, 3, 2, 1]), mindspore.float32)
>>> value = Tensor([1], mindspore.float32)
>>> addcdiv = ops.Addcdiv()
>>> y = addcdiv(input_data, x1, x2, value)
>>> print(y)
[1.25      1.6666667 2.5       5.       ]