linspace¶

paddle.fluid.layers.tensor. linspace ( start, stop, num, dtype=None, name=None ) [source]

This OP return fixed number of evenly spaced values within a given interval.

Parameters

start (int|float|Tensor) – The input start is start variable of range. It is a scalar, or a Tensor of shape [1] with input data type int32, int64, float32 or float64.
stop (int|float|Tensor) – The input stop is start variable of range. It is a scalar, or a Tensor of shape [1] with input data type int32, int64, float32 or float64.
num (int|Tensor) – The input num is given num of the sequence. It is an int scalar, or a Tensor of shape [1] with data type int32.
dtype (np.dtype|str, optional) – The data type of output tensor, it could be int32, int64, float32 and float64. Default: if None, the data type is float32.
name (str, optional) – Normally there is no need for user to set this property. For more information, please refer to Name.Default: None.

Returns

the output data type will be float32, float64. The 1-D tensor with fixed number of evenly spaced values, the data shape of this tensor is \([num]\) . If the num is set 1, the output tensor just has the value with input start.

Return type

Tensor

Examples

           import paddle
data = paddle.linspace(0, 10, 5, 'float32') # [0.0,  2.5,  5.0,  7.5, 10.0]
data = paddle.linspace(0, 10, 1, 'float32') # [0.0]

          