lod_reset

paddle.fluid.layers.lod_reset(x, y=None, target_lod=None)[source]

Set LoD of x to a new one specified by y or target_lod. When y provided, y.lod would be considered as target LoD first, otherwise y.data would be considered as target LoD. If y is not provided, target LoD should be specified by target_lod. If target LoD is specified by y.data or target_lod, only one level LoD is supported.

* Example 1:

    Given a 1-level LoDTensor x:
        x.lod =  [[ 2,           3,                   1 ]]
        x.data = [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0]]
        x.dims = [6, 1]

    target_lod: [4, 2]

    then we get a 1-level LoDTensor:
        out.lod =  [[4,                          2]]
        out.data = [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0]]
        out.dims = [6, 1]

* Example 2:

    Given a 1-level LoDTensor x:
        x.lod =  [[2,            3,                   1]]
        x.data = [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0]]
        x.dims = [6, 1]

    y is a Tensor:
        y.data = [[2, 4]]
        y.dims = [1, 3]

    then we get a 1-level LoDTensor:
        out.lod =  [[2,            4]]
        out.data = [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0]]
        out.dims = [6, 1]

* Example 3:

    Given a 1-level LoDTensor x:
        x.lod =  [[2,            3,                   1]]
        x.data = [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0]]
        x.dims = [6, 1]

    y is a 2-level LoDTensor:
        y.lod =  [[2, 2], [2, 2, 1, 1]]
        y.data = [[1.1], [2.1], [3.1], [4.1], [5.1], [6.1]]
        y.dims = [6, 1]

    then we get a 2-level LoDTensor:
        out.lod =  [[2, 2], [2, 2, 1, 1]]
        out.data = [[1.0], [2.0], [3.0], [4.0], [5.0], [6.0]]
        out.dims = [6, 1]
Parameters
  • x (Variable) – Input variable which could be a Tensor or LoDTensor. The data type should be int32, int64, float32 or float64.

  • y (Variable, optional) – If provided, output’s LoD would be derived from y. If y’s lod level>0, the data type can be any type. If y’s lod level=0, the data type should be int32.

  • target_lod (list|tuple, optional) – One level LoD which should be considered as target LoD when y not provided.

Returns

Output variable with LoD specified by this layer.

Return type

Variable

Raises

ValueError – If y and target_lod are both None.

Examples

import paddle.fluid as fluid
x = fluid.layers.data(name='x', shape=[10])
y = fluid.layers.data(name='y', shape=[10, 20], lod_level=2)
out = fluid.layers.lod_reset(x=x, y=y)