o #j{@sNddlZddlmZddlmZddlmZmZddlmZgZ d d d Z dS) N)_C_ops)in_dynamic_or_pir_mode) check_typecheck_variable_and_dtype) LayerHelper@ư>Fc Cs(tr&t||}|dkrtj|g|jd}t||}t||dd|dSt|dt t fdt|dt dt|dt dt |d gd dt |d gd dt||}|dkrq|j j|jd}tjd g||jd }t||}td|d}d||dd} |j|jd} |jdd|id| i| d| S)a It computes the pairwise distance between two vectors. The distance is calculated by p-oreder norm: .. math:: \Vert x \Vert _p = \left( \sum_{i=1}^n \vert x_i \vert ^ p \right) ^ {1/p}. Parameters: x (Tensor): Tensor, shape is :math:`[N, D]` or :math:`[D]`, where :math:`N` is batch size, :math:`D` is the dimension of vector. Available dtype is float16, float32, float64. y (Tensor): Tensor, shape is :math:`[N, D]` or :math:`[D]`, where :math:`N` is batch size, :math:`D` is the dimension of vector. Available dtype is float16, float32, float64. p (float, optional): The order of norm. Default: :math:`2.0`. epsilon (float, optional): Add small value to avoid division by zero. Default: :math:`1e-6`. keepdim (bool, optional): Whether to reserve the reduced dimension in the output Tensor. The result tensor is one dimension less than the result of ``|x-y|`` unless :attr:`keepdim` is True. Default: False. name (str, optional): For details, please refer to :ref:`api_guide_Name`. Generally, no setting is required. Default: None. Returns: Tensor, the dtype is same as input tensor. - If :attr:`keepdim` is True, the output shape is :math:`[N, 1]` or :math:`[1]`, depending on whether the input has data shaped as :math:`[N, D]`. - If :attr:`keepdim` is False, the output shape is :math:`[N]` or :math:`[]`, depending on whether the input has data shaped as :math:`[N, D]`. Examples: .. code-block:: python >>> import paddle >>> x = paddle.to_tensor([[1., 3.], [3., 5.]], dtype=paddle.float64) >>> y = paddle.to_tensor([[5., 6.], [7., 8.]], dtype=paddle.float64) >>> distance = paddle.nn.functional.pairwise_distance(x, y) >>> print(distance) Tensor(shape=[2], dtype=float64, place=Place(cpu), stop_gradient=True, [4.99999860, 4.99999860]) g)dtypeFporderZPairwiseDistanceepsilonkeepdimx)Zfloat16Zfloat32Zfloat64y)shapeZ fill_valuer )name)Zaxisr rr p_normXZOut)typeZinputsZoutputsattrs)rrsubtractpaddleZ to_tensorr addrrfloatintboolrblockZ create_varfullrZ"create_variable_for_type_inferenceZ append_op) rrpr rrsubZ epsilon_varhelperroutr$^/var/www/html/Deteccion_Ine/venv/lib/python3.10/site-packages/paddle/nn/functional/distance.pypairwise_distancesB-        r&)rr FN) rrZpaddle.frameworkrZbase.data_feederrrZbase.layer_helperr__all__r&r$r$r$r%s