chunk¶

paddle. chunk ( x, chunks, axis=0, name=None ) [source]

Split the input tensor into multiple sub-Tensors.

Parameters

x (Tensor) – A N-D Tensor. The data type is bool, float16, float32, float64, int32 or int64.
chunks (int) – The number of tensor to be split along the certain axis.
axis (int|Tensor, optional) – The axis along which to split, it can be a integer or a 0-D Tensor with shape [] and data type int32 or int64. If :math::axis < 0, the axis to split along is \(rank(x) + axis\). Default is 0.
name (str, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to Name .

Returns

list(Tensor), The list of segmented Tensors.

Examples

           >>> import paddle

>>> x = paddle.rand([3, 9, 5])

>>> out0, out1, out2 = paddle.chunk(x, chunks=3, axis=1)
>>> # out0.shape [3, 3, 5]
>>> # out1.shape [3, 3, 5]
>>> # out2.shape [3, 3, 5]


>>> # axis is negative, the real axis is (rank(x) + axis) which real
>>> # value is 1.
>>> out0, out1, out2 = paddle.chunk(x, chunks=3, axis=-2)
>>> # out0.shape [3, 3, 5]
>>> # out1.shape [3, 3, 5]
>>> # out2.shape [3, 3, 5]

          