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
- 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. ]