Traceback (most recent call last):


 "official/resnet/imagenet_main.py", line 333, in <module>

main(argv=sys.argv)


 "official/resnet/imagenet_main.py", line 327, in main

shape=[_DEFAULT_IMAGE_SIZE, _DEFAULT_IMAGE_SIZE, _NUM_CHANNELS])


 "/autofs/nccs-svm1_home1/shubhankar/summit/MLPerf/training/image_classification/tensorflow/official/resnet/resnet_run_loop.py", line 479, in resnet_main

max_steps=flags.max_train_steps)


 "/ccs/home/shubhankar/summit/tensorflow-1.12-p3/anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 354, in train

loss = self._train_model(input_fn, hooks, saving_listeners)


 "/ccs/home/shubhankar/summit/tensorflow-1.12-p3/anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1205, in _train_model

return self._train_model_distributed(input_fn, hooks, saving_listeners)


 "/ccs/home/shubhankar/summit/tensorflow-1.12-p3/anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1316, in _train_model_distributed

self.config)


 "/ccs/home/shubhankar/summit/tensorflow-1.12-p3/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/distribute.py", line 721, in call_for_each_tower

return self._call_for_each_tower(fn, *args, **kwargs)


 "/ccs/home/shubhankar/summit/tensorflow-1.12-p3/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/distribute/python/mirrored_strategy.py", line 556, in _call_for_each_tower

return _call_for_each_tower(self, fn, *args, **kwargs)


 "/ccs/home/shubhankar/summit/tensorflow-1.12-p3/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/distribute/python/mirrored_strategy.py", line 183, in _call_for_each_tower

coord.join(threads)


 "/ccs/home/shubhankar/summit/tensorflow-1.12-p3/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/coordinator.py", line 389, in join

six.reraise(*self._exc_info_to_raise)


 "/ccs/home/shubhankar/summit/tensorflow-1.12-p3/anaconda3/lib/python3.6/site-packages/six.py", line 693, in reraise

raise value


 "/ccs/home/shubhankar/summit/tensorflow-1.12-p3/anaconda3/lib/python3.6/site-packages/tensorflow/python/training/coordinator.py", line 297, in stop_on_exception

yield


 "/ccs/home/shubhankar/summit/tensorflow-1.12-p3/anaconda3/lib/python3.6/site-packages/tensorflow/contrib/distribute/python/mirrored_strategy.py", line 795, in run

self.main_result = self.main_fn(*self.main_args, **self.main_kwargs)


 "/ccs/home/shubhankar/summit/tensorflow-1.12-p3/anaconda3/lib/python3.6/site-packages/tensorflow/python/estimator/estimator.py", line 1195, in _call_model_fn

model_fn_results = self._model_fn(features=features, **kwargs)


 "official/resnet/imagenet_main.py", line 296, in imagenet_model_fn

dtype=params['dtype']


 "/autofs/nccs-svm1_home1/shubhankar/summit/MLPerf/training/image_classification/tensorflow/official/resnet/resnet_run_loop.py", line 306, in resnet_model_fn

for grad, var in scaled_grad_vars]


 "/autofs/nccs-svm1_home1/shubhankar/summit/MLPerf/training/image_classification/tensorflow/official/resnet/resnet_run_loop.py", line 306, in <listcomp>

for grad, var in scaled_grad_vars]
TypeError: unsupported operand type(s) for /: 'NoneType' and 'int'

Traceback (most recent call last):


 "c:\program files (x86)\python38-32\lib\runpy.py", line 192, in _run_module_as_main

return _run_code(code, main_globals, None,


 "c:\program files (x86)\python38-32\lib\runpy.py", line 85, in _run_code

exec(code, run_globals)


 "C:\Program 
s (x86)\Python38-32\Scripts\pip.exe\__main__.py", line 9, in <module>
TypeError: 'module' object is not callable