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mindspore.ops.addcdiv

mindspore.ops.addcdiv(input_data, x1, x2, value)

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

$$y[i]=input\mathrm{\_}data[i]+value[i]\ast (x1[i]/x2[i])$$

Parameters

• 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.

Returns

Tensor, has the same shape and dtype as x1/x2.

Raises

• TypeError – If dtype of x1, x2, value, input_data is not tensor.

• 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 GPU CPU

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