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Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

- Incorrect links, empty cells, or wrong formats.

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Risk Warnings

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Problem description

Describe the bug so that we can quickly locate the problem.

mindspore.ops.Addcdiv

View Source On Gitee
class mindspore.ops.Addcdiv[source]

Adds the element-wise division of x1 by x2, multiplied by value to input_data. It computes the following operation:

y[i]=input_data[i]+value[i](x1[i]/x2[i])
Inputs:
  • input_data (Tensor) - The tensor to be added.

  • x1 (Tensor) - The numerator tensor.

  • x2 (Tensor) - The denominator tensor.

  • 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 x1, x2, value, input_data are not the same.

  • ValueError – If x1 could not be broadcast to x2.

  • ValueError – If value could not be broadcast to x1/x2.

  • ValueError – If input_data could not be broadcast to value*(x1/x2).

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)
>>> addcdiv = ops.Addcdiv()
>>> y = addcdiv(input_data, x1, x2, value)
>>> print(y)
[1.25      1.6666667 2.5       5.       ]