index_fill_¶

paddle. index_fill_ ( x, index, axis, value, name=None ) [source]

Fill the elements of the input tensor with value by the specific axis and index.

Parameters

x (Tensor) – The Destination Tensor. Supported data types are int32, int64, float16, float32, float64.
index (Tensor) – The 1-D Tensor containing the indices to index. The data type of index must be int32 or int64.
axis (int) – The dimension along which to index.
value (float) – The tensor used to fill with.
name (str, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.

Returns

Tensor, same dimension and dtype with x.

Examples

           >>> import paddle
>>> input_tensor = paddle.to_tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]], dtype='int64')
>>> index = paddle.to_tensor([0, 2], dtype="int32")
>>> value = -1
>>> res = paddle.index_fill_(input_tensor, index, 0, value)
>>> print(input_tensor)
Tensor(shape=[3, 3], dtype=int64, place=Place(gpu:0), stop_gradient=True,
       [[-1, -1, -1],
        [ 4,  5,  6],
        [-1, -1, -1]])
>>> print(res)
Tensor(shape=[3, 3], dtype=int64, place=Place(gpu:0), stop_gradient=True,
       [[-1, -1, -1],
        [ 4,  5,  6],
        [-1, -1, -1]])

          