def conv5_sep(inputs):
with tf.variable_scope(get_layer_id()):
with tf.variable_scope('branch_3'):
out = conv_op(
inputs[0][0], 5, is_training, out_filters, out_filters, self.data_format, start_idx=None, separable=True)
out = post_process_out(out, inputs[1])
return out
def conv3(inputs):
# res_layers is pre_layers that are chosen to form skip connection
# layers[-1] is always the latest input
with tf.variable_scope(get_layer_id()):
with tf.variable_scope('branch_0'):
out = conv_op(
inputs[0][0], 3, is_training, out_filters, out_filters, self.data_format, start_idx=None)
out = post_process_out(out, inputs[1])
return out