o #jv@slddlmZddlZddlmZddlmZmZmZmZddZ eddZ ed d d Z ed d d Z dS))reduceN)_C_ops)_create_tensor_dygraph_tracer dygraph_onlyin_dygraph_modecCstdd}tr,tjjt||}||WddS1s%wYdSt j dd|i||dd|idddS) NZint64dtypeZreshape2X)OutZXShapeshapeTtypeZinputsZoutputsattrs stop_gradient) rrpaddlebasedygraphno_gradrreshape_share_underline_tensor_tortrace_op)xr Zx_shapeZtmp_outre/var/www/html/Deteccion_Ine/venv/lib/python3.10/site-packages/paddle/nn/utils/transform_parameters.py_inplace_reshape_dygraphs   " rcCs~t|jdks J|jd|jdg}tjjt||}t|ddg}||WddS1s8wYdS)a A tool function. Permute date of parameter as a 'columns' stride. Now, it only support 2-D parameter. Args: param(Tensor]): The param that will be strided according to 'columns'. Examples: .. code-block:: python >>> import paddle >>> paddle.seed(100) >>> linear = paddle.nn.Linear(2, 3) >>> print(linear.weight) Parameter containing: Tensor(shape=[2, 3], dtype=float32, place=Place(cpu), stop_gradient=False, [[ 0.11732829, -0.64161885, -1.06996548], [ 0.03456247, -0.29862350, -0.52380574]]) >>> paddle.nn.utils._stride_column(linear.weight) >>> print(linear.weight) rN) lenr rrrrrZ transposer)paramr Z reshape_varZ transpose_varrrr_stride_column,s  "r cCs|dj}g}|D]}||jt|dgq t|d}trBtjj t |d}| |Wdn1s>> import paddle >>> paddle.seed(2023) >>> linear = paddle.nn.Linear(10, 15) >>> t = paddle.nn.utils.parameters_to_vector(linear.parameters()) >>> print(t.shape) [165] rrNconcatr r axisTr F)r appendr rrrrrrrrr"rrr enumerater) parametersnamer origin_shapesrouttmpirrrparameters_to_vectorMs.     r,c Csg}g}|D]}|j}||tdd|d}||qt|dkr)|dtr]tjj"t ||d}t dt|D] } ||  || qAWdn1sWwYnt jdd|gid|id|d d d t|D] \} }t||| qtdS) a] Transform a 1-D Tensor to the input ``parameters`` . Args: vec (Tensor): A 1-D Tensor, which will be sliced and copied to the input ``parameters`` . parameters (Iterable[Tensor]): Iterable Tensors that are trainable parameters of a Layer. 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`. Examples: .. code-block:: python >>> import paddle >>> weight_attr = paddle.ParamAttr(initializer=paddle.nn.initializer.Constant(3.)) >>> linear1 = paddle.nn.Linear(10, 15, weight_attr) >>> vec = paddle.nn.utils.parameters_to_vector(linear1.parameters()) >>> linear2 = paddle.nn.Linear(10, 15) >>> # copy weight of linear1 to linear2 >>> paddle.nn.utils.vector_to_parameters(vec, linear2.parameters()) >>> print((linear1.weight == linear2.weight).all()) Tensor(shape=[], dtype=bool, place=Place(cpu), stop_gradient=True, True) cSs||SNr)ryrrrsz&vector_to_parameters..rrNsplitr r )r#sectionsTr )r r$rrrrrrrrr0rangerrrr%r) Zvecr&r'r(r1rr Znumelresr+rrrvector_to_parameterss6    r4r-) functoolsrrrZpaddle.base.frameworkrrrrrr r,r4rrrrs     2