src/transformers/models/mobilevit/modeling_tf_mobilevit.py/TFMobileViTASPPPooling/call
class TFMobileViTASPPPooling:    def call(self, features: tf.Tensor, training: bool = False) -> tf.Tensor:
        spatial_size = shape_list(features)[1:-1]
        features = self.global_pool(features)
        features = self.conv_1x1(features, training=training)
        features = tf.image.resize(features, size=spatial_size, method="bilinear")
        return features