o }o™i) ã@s†ddlmZdededeeeffdd„Zdededefdd„Zdededefd d „Zdededefd d „Zdededefd d„ZdS)é)ÚTensorÚxÚyÚreturncCs–|j}|j}t||ƒ}t|ƒD]}|j||j|ks"Jd |¡ƒ‚q||kr7| |jd||¡}||fS||krG| |jd||¡}||fS)a³ Broadcasts two tensors to have the same shape by adding singleton dimensions where necessary. Args: x (Tensor): The first input tensor. y (Tensor): The second input tensor. Returns: tuple[Tensor, Tensor]: A tuple containing the two tensors with broadcasted shapes. Raises: AssertionError: If the dimensions of the tensors do not match at any axis within their common dimensions. zDimensions not equal at axis {})é)ÚndimÚminÚrangeÚshapeÚformatÚreshape)rrÚndims1Úndims2Ú common_ndimsÚaxis©rú`/home/ubuntu/.local/lib/python3.10/site-packages/nemo/collections/diffusion/sampler/batch_ops.pyÚcommon_broadcasts  $ýrcCst||ƒ\}}||S)a Adds two tensors element-wise after broadcasting them to a common shape. Args: x (Tensor): The first input tensor. y (Tensor): The second input tensor. Returns: Tensor: The element-wise sum of the input tensors after broadcasting. ©r©rrrrrÚ batch_add/ó rcCst||ƒ\}}||S)a Multiplies two tensors element-wise after broadcasting them to a common shape. Args: x (Tensor): The first input tensor. y (Tensor): The second input tensor. Returns: Tensor: The element-wise product of the input tensors after broadcasting. rrrrrÚ batch_mul>rrcCst||ƒ\}}||S)a Subtracts two tensors element-wise after broadcasting them to a common shape. Args: x (Tensor): The first input tensor. y (Tensor): The second input tensor. Returns: Tensor: The result of element-wise subtraction of the input tensors. rrrrrÚ batch_subMrrcCst||ƒ\}}||S)a Divides two tensors element-wise after broadcasting them to a common shape. Args: x (Tensor): The first input tensor. y (Tensor): The second input tensor. Returns: Tensor: The result of element-wise division of `x` by `y` after broadcasting. rrrrrÚ batch_div\rrN)ÚtorchrÚtuplerrrrrrrrrÚs