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Hi
I am trying to run the source code of this paper.(Learning Interpretable Spatial Operations in a Rich 3D Blocks World), but I have encountered many problems.
If you have time, could you complete the README? More detailed description of the environment required to run the code.
THANKS
such as bugs, incorrect parameters, etc.
_File "/home/sleeve/GroundedLanguage/SpatialReasoning/train.py", line 25, in <module>
Training = data.Data(config, train=True)
TypeError: __init__() got an unexpected keyword argument 'train'_
_File "/home/sleeve/GroundedLanguage/SpatialReasoning/Language_Pipeline.py", line 12, in <module>
np.set_printoptions(threshold=np.nan)
File "/home/sleeve/.conda/envs/tf01/lib/python2.7/site-packages/numpy/core/arrayprint.py", line 246, in set_printoptions
floatmode, legacy)
File "/home/sleeve/.conda/envs/tf01/lib/python2.7/site-packages/numpy/core/arrayprint.py", line 93, in _make_options_dict
raise ValueError("threshold must be numeric and non-NAN, try "
ValueError: threshold must be numeric and non-NAN, try sys.maxsize for untruncated representation_
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