lambda_dist in tnt_eval.py is strange.

[Bin-Bean]

Hello, your research is great.
However, I found something strange and have a question.

if not args.skip_training:
common_args = " --test_iterations 30000 --depth_ratio 1.0 -r 2"

for scene in tnt_360_scenes:
    source = args.TNT_data + "/" + scene
    print("python train.py -s " + source + " -m " + args.output_path + "/" + scene + common_args + ' --lambda_dist 100')
    os.system("python train.py -s " + source + " -m " + args.output_path + "/" + scene + common_args)

for scene in tnt_large_scenes:
    source = args.TNT_data + "/" + scene
    print("python train.py -s " + source + " -m " + args.output_path + "/" + scene + common_args+ ' --lambda_dist 10')
    os.system("python train.py -s " + source + " -m " + args.output_path + "/" + scene + common_args)

lambda_dist is only printed and not actually used.
Is this intentional?
Is lambda dist 0 in the tnt dataset in your paper? Like Mip-NeRF 360?
I would appreciate your reply.

[hbb1]

Oh it is unintended. Thank you for pointing out this.
It should be fixed to make the running command consistent with the printed command.