sequence_concat¶

paddle.static.nn. sequence_concat ( input, name=None ) [source]

Note

Only receives LoDTensor as input. If your input is Tensor, please use concat Op.(fluid.layers.** api_fluid_layers_concat ).

This operator only supports LoDTensor as input. It concatenates the multiple LoDTensor from input by the LoD information, and outputs the concatenated LoDTensor.

           input is a list of LoDTensor:
    input = [x1, x2]
where:
    x1.lod = [[0, 3, 5]]
    x1.data = [[1], [2], [3], [4], [5]]
    x1.shape = [5, 1]

    x2.lod = [[0, 2, 4]]
    x2.data = [[6], [7], [8], [9]]
    x2.shape = [4, 1]
and should satisfy: len(x1.lod[0]) == len(x2.lod[0])

output is LoDTensor:
    out.lod = [[0, 3+2, 5+4]]
    out.data = [[1], [2], [3], [6], [7], [4], [5], [8], [9]]
    out.shape = [9, 1]

          

Parameters

input (list of Variable) – List of LoDTensor to be concatenated. The length of each LoDTensor should be same. The data type can be float32, float64 or int64.
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

Output the concatenated LoDTensor. The data type is same as input.

Return type

Variable

Examples

           import paddle
paddle.enable_static()

x = paddle.static.data(name='x', shape=[-1, 10], dtype='float32', lod_level=1)
y = paddle.static.data(name='y', shape=[-1, 10], dtype='float32', lod_level=1)
out = paddle.static.nn.sequence_concat(input=[x, y])

          