o QeO#ã@s€ddlmZddlmZddlmZddlmZmZm Z m Z m Z ddl m Z ddlmZddlmZmZgZGd d „d eƒZd S) é)Ú Initializer)Úcheck_variable_and_dtype)Ú framework)ÚdiagÚ transposeÚsignÚqrÚreshapeé)Ú unique_name)Úno_grad)Ú_C_opsÚ _legacy_C_opscs,eZdZdZd‡fdd„ Zd dd„Z‡ZS) Ú Orthogonalu—The orthogonal initializer. The initialized tensor is (semi) orthogonal. It's only applied to Tensor whose dimension is greater than or equal to 2. For the Tensor whose dimension is greater than 2, the 0 dimension is seen as ``rows`` , and the >=1 dimension are flattened as ``cols`` . Which can be describe as: .. code-block:: text rows = shape[0] cols = shape[1]·shape[2]···shape[N] if rows < cols: The rows are orthogonal vectors elif rows > cols: The columns are orthogonal vectors else rows = cols: Both rows and columns are orthogonal vectors Args: gain(float, optional): The multiplication coefficient for initialized tensor. Default: 1.0. 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 :ref:`api_guide_Name`. Returns: A parameter initialized by orthogonal initialized. Examples: .. code-block:: python import paddle weight_attr = paddle.ParamAttr(initializer=paddle.nn.initializer.Orthogonal()) linear = paddle.nn.Linear(10, 15, weight_attr=weight_attr) # linear.weight: X * X' = I linear = paddle.nn.Linear(15, 10, weight_attr=weight_attr) # linear.weight: X' * X = I çð?Ncs(|dusJdƒ‚tt|ƒ ¡||_dS)Nzgain should not be None)ÚsuperrÚ__init__Ú_gain)ÚselfZgainÚname©Ú __class__©úPD:\Projects\ConvertPro\env\Lib\site-packages\paddle/nn/initializer/orthogonal.pyrEs zOrthogonal.__init__c Csd| |¡}t|tjƒs J‚t|tjƒsJ‚t|dddgdƒ|jj|_|j }t |ƒdks0Jdƒ‚|d}d}|dd …D]}||9}qs