class_docstr: Attention-Based Models for Speech Recognition
  https://arxiv.org/pdf/1506.07503.pdf
  
  :param int encoder_dim: # projection-units of encoder
  :param int decoder_dim: # units of decoder
  :param int attn_dim: attention dimension
  :param int conv_dim: # channels of attention convolution
  :param int conv_kernel_size: filter size of attention convolution
code: def clear_cache(self):
      self.proj_enc_out = None
  
imports: import torch.nn
  import torch
  import torch.nn.functional
label_desc: Use image node_id 2 for calling the LocationAttention obj's underlying member method code with example usage: obj.clear_cache() without return types