mindspore.ops.InplaceSub
- class mindspore.ops.InplaceSub(indices)[source]
Subtracts v into specified rows of x. Computes y = x; y[i, :] -= v.
- Parameters
indices (Union[int, tuple]) – Indices into the left-most dimension of x, and determines which rows of x to subtract with v. It is a int or tuple, whose value is in [0, the first dimension size of x).
- Inputs:
x (Tensor) - The first input is a tensor whose data type is float16, float32 or int32. \((N,*)\) where \(*\) means, any number of additional dimensions, its rank should less than 8.
input_v (Tensor) - The second input is a tensor who has the same dimension sizes as x except the first dimension, which must be the same as indices’s size. It has the same data type with x.
- Outputs:
Tensor, has the same shape and dtype as x.
- Raises
TypeError – If indices is neither int nor tuple.
TypeError – If indices is a tuple whose elements are not all int.
ValueError – If length of shape of x is not equal to length of shape of input_v.
- Supported Platforms:
Ascend
Examples
>>> indices = (0, 1) >>> x = Tensor(np.array([[1, 2], [3, 4], [5, 6]]), mindspore.float32) >>> input_v = Tensor(np.array([[0.5, 1.0], [1.0, 1.5]]), mindspore.float32) >>> inplaceSub = ops.InplaceSub(indices) >>> output = inplaceSub(x, input_v) >>> print(output) [[0.5 1. ] [2. 2.5] [5. 6. ]]