l_conv7 = self.loc_conv7(conv7_feats) # (N, 24, 19, 19)
l_conv7 = l_conv7.permute(0, 2, 3, 1).contiguous() # (N, 19, 19, 24)
l_conv7 = l_conv7.view(batch_size, -1, 4) # (N, 2166, 4), there are a total 2116 boxes on this feature map
what is the equivalence with torch's view in TensorFlow? how to change the l_conv7.view in TensorFlow 2.0?
