2026a8939d9ccc3e26ac776db5b4788846fd166c,dnc/sparse_memory.py,SparseMemory,read_from_sparse_memory,#SparseMemory#Any#Any#Any#Any#,181

Before Change

    // read the kmeans closest and the least used memory
    // TODO: for now we assume infinite memory, hence least used is the first free cell
    read_vectors = []
    pos = read_positions.squeeze().data.cpu().numpy()
    for b in range(read_positions.size(0)):
      read_vectors.append(T.stack([memory[b, p] for p in list(pos[b])], 0))
    read_vectors = T.stack(read_vectors, 0)

After Change

    read_positions = T.cat([read_positions, last_used_mem.unsqueeze(1)], 2)

    (b, m, w) = memory.size()
    read_vectors = memory.gather(1, read_positions.squeeze().unsqueeze(2).expand(b, self.K+1, w))

    return read_vectors, read_positions, read_weights

  def read(self, read_query, hidden):

Instances