Notes: This API only supports dynamic graph mode currently. A context manager that specifies the current stream context by the given

Returns a list of sub layers. Parameters: include_self(bool, optional): Whether return self as sublayers. Default: Fals

\brief Copy the host memory to tensor data. It's usually used to set the input tensor data. \param[in] value

A more free style way of creating a graph node. Mostly use for test or "copy" from another node. Avoid using it if possible.

Configures the model before running. Args: optimizer (Optimizer|None, optional): Optimizer must be set in training

Clone a variable into current block. Args: var: the variable to be cloned. force_persistable(bool): True mea

Utility function to fetch an accumulator for a parameter Args: name: name of the accumulator param: parameter variable

make const @{

Convert the data type in numpy to the data type in Paddle. Args: np_dtype (np.dtype|str): The data type in numpy or valid data type

load fleet inference model from path Returns: None Examples: .. code-block:: pycon

Utility function to fetch an accumulator for a parameter Args: name: name of the accumulator param: parameter tensor

generate test data Args: shape(list of int): shape of inputs dtype(str): dtype Returns: x, dtype, shape, name

dummy save inference model