error while training with GPUs

[buzhengbujiban]

when I'm trying to set " num_gpus_per_job: 2 " in inpaint.yml and
rewrite something in the train.py:
discriminator_training_callback = ng.callbacks.SecondaryMultiGPUTrainer(
num_gpus=FLAGS.num_gpus_per_job,
pstep=1,
optimizer=d_optimizer,
var_list=d_vars,
max_iters=1,
grads_summary=False,
graph_def=multigpu_graph_def,
graph_def_kwargs={
'model': model, 'FLAGS': FLAGS, 'data': data, 'loss_type': 'd'},
)
# train generator with primary trainer
# trainer = ng.train.Trainer(
trainer = ng.train.MultiGPUTrainer(
num_gpus=FLAGS.num_gpus_per_job,
optimizer=g_optimizer,
var_list=g_vars,
max_iters=FLAGS.max_iters,
graph_def=multigpu_graph_def,
grads_summary=FLAGS.GRADS_SUMMARY,
gradient_processor=False,
graph_def_kwargs={
'model': model, 'FLAGS': FLAGS, 'data': data, 'loss_type': 'g'},
spe=FLAGS.train_spe,
log_dir=FLAGS.log_dir,

there is something wrong while training:

File "train.py", line 91, in
log_dir=FLAGS.log_dir,
File "/home/bo/anaconda3/envs/lwss/lib/python3.7/site-packages/neuralgym/train/multigpu_trainer.py", line 24, in init
self._train_op, self._loss = self.train_ops_and_losses()
File "/home/bo/anaconda3/envs/lwss/lib/python3.7/site-packages/neuralgym/train/multigpu_trainer.py", line 84, in train_ops_and_losses
grads = process_gradients(grads, gradient_processor)
File "/home/bo/anaconda3/envs/lwss/lib/python3.7/site-packages/neuralgym/ops/train_ops.py", line 46, in process_gradients
grads = [gradient_processor(grad) for grad in grads]
File "/home/bo/anaconda3/envs/lwss/lib/python3.7/site-packages/neuralgym/ops/train_ops.py", line 46, in
grads = [gradient_processor(grad) for grad in grads]
TypeError: 'bool' object is not callable

I am a beginner. If someone can tell me what went wrong, I will be very grateful
My tensorflow -- GPU version is 1.14.0