class_docstr: Adapted from CLIP: https://github.com/openai/CLIP/blob/main/clip/model.py
class_docstr_tok: ["Adapted","from","CLIP",":","https",":","\/\/github.com\/openai\/CLIP\/blob\/main\/clip\/model.py"]
code: def forward(self, x):
      b, c, *_spatial = x.shape
      # x = x.reshape(b, c, -1)  # NC(HW)
      x = paddle.reshape(x, [b, c, -1])
      x = paddle.concat(
          [x.mean(dim=-1, keepdim=True), x], axis=-1
      )  # NC(HW+1)
      x = x + paddle.cast(
          self.positional_embedding[None, :, :], x.dtype
      )  # NC(HW+1)
      x = self.qkv_proj(x)
      x = self.attention(x)
      x = self.c_proj(x)
      return x[:, :, 0]
  
imports: import math
  from abc import abstractmethod
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from .nn import avg_pool_nd
  from .nn import checkpoint
  from .nn import conv_nd
  from .nn import linear
  from .nn import normalization
  from .nn import SiLU
  from .nn import timestep_embedding
  from .nn import zero_module
label_desc: Use image node_id 2 for calling the AttentionPool2d obj's underlying member method code with example usage: obj.forward(x) and returns: x