mindspore.ops.addcdiv

mindspore.ops.addcdiv(input, tensor1, tensor2, value=1)[source]

Performs the element-wise division of tensor tensor1 by tensor tensor2, multiply the result by the scalar value and add it to input_data.

\[y[i] = input[i] + value[i] * (tensor1[i] / tensor2[i])\]
Parameters

  • input (Tensor) – The tensor to be added.

  • tensor1 (Tensor) – The numerator tensor.

  • tensor2 (Tensor) – The denominator tensor.

  • value (Union[Tensor, Number]) – The multiplier for tensor1/tensor2. Default: 1 .

Returns

Tensor, has the same shape and dtype as tensor1/tensor2.

Raises

  • TypeError – If dtype of tensor1, tensor2, input is not tensor.

  • ValueError – If tensor1 could not be broadcast to a tensor with shape of tensor2.

  • ValueError – If value could not be broadcast to tensors with shapes of tensor1/tensor2.

  • ValueError – If input could not be broadcast to tensors with shapes of value*(tensor1/tensor2).

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> 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)
>>> y = ops.addcdiv(input_data, x1, x2, value)
>>> print(y)
[1.25      1.6666667 2.5       5.       ]