Traceback (most recent call last):


 "experiment_planning/plan_and_preprocess_task.py", line 18, in <module>

from nnunet.paths import splitted_4d_output_dir, cropped_output_dir, preprocessing_output_dir, raw_dataset_dir


 "/path/nnUNet/nnunet/paths.py", line 51, in <module>

network_training_output_dir = os.path.join(os.environ['RESULTS_FOLDER'], my_output_identifier)


 "/home/jma/anaconda3/envs/torch10/lib/python3.6/os.py", line 669, in __getitem__

raise KeyError(key) from None
KeyError: 'RESULTS_FOLDER'

Traceback (most recent call last):


 "train.py", line 184, in <module>

tf.app.run()


 "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\tensorflow\python\platform\app.py", line 126, in run

_sys.exit(main(argv))


 "train.py", line 180, in main

graph_hook_fn=graph_rewriter_fn)


 "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\object_detection-0.1-py3.6.egg\object_detection\trainer.py", line 298, in train

train_config.optimizer)


 "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\object_detection-0.1-py3.6.egg\object_detection\builders\optimizer_builder.py", line 50, in build

learning_rate = _create_learning_rate(config.learning_rate)


 "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\object_detection-0.1-py3.6.egg\object_detection\builders\optimizer_builder.py", line 109, in _create_learning_rate

learning_rate_sequence, config.warmup)


 "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\object_detection-0.1-py3.6.egg\object_detection\utils\learning_schedules.py", line 169, in manual_stepping

[0] * num_boundaries))


 "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\tensorflow\python\ops\array_ops.py", line 2619, in where

return gen_math_ops._select(condition=condition, x=x, y=y, name=name)


 "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\tensorflow\python\ops\gen_math_ops.py", line 4503, in _select

"Select", condition=condition, t=x, e=y, name=name)


 "D:\Anaconda3\envs\tensorflow-gpu\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 528, in _apply_op_helper

(input_name, err))
ValueError: Tried to convert 't' to a tensor and failed. Error: Argument must be a dense tensor: range(0, 3) - got shape [3], but wanted [].
