Enable newer Python versions and use of own test data #9
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NinaWie
commented
Nov 15, 2022
| # Save parameters | ||
| config = vars(args) | ||
| with open(os.path.join(args.model_dir, "config.json"), "w") as outfile: | ||
| json.dump(config, outfile) |
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I added this in order to improve model loading, compared to the long file name with all parameters in the file name.
NinaWie
commented
Nov 15, 2022
| if do_full_eval == False: | ||
| # random sample each context points in NeighborGraph() | ||
| self.sample_neg_pts(ng_list) | ||
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| center_pred_embed = self.predict(ng_list) |
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In this file, I added a predict function for each model, which only embeds the point itself and not the positive and negative points. The predict function is then used in the forward functions. This looks like a lot of changes but it's mainly encapsulation of the center_pred_embed part
NinaWie
commented
Nov 15, 2022
| @@ -240,6 +240,136 @@ def make_args_combine(args): | |||
| return args_combine | |||
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| def make_enc_dec(args, pointset=None, feature_embedding= None): | |||
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This is not new code; it's only an encapsulation of code that was previously part of the __init__ of the Trainer class. In the new version, it is a separate function, and can be used in the test.py script.
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Hi, thanks for providing this nice codebase! I am using it for an own project, and I did some modifications to the code in order to run it with later Python versions, and in order to use my own data. Maybe you want to consider merging my new version into your repository :) Here's a summary of the changes
Settoset,cPickletopickle, andxrangetorangeto enable Python 3 (I'm using 3.9.5)Trainerclass and to themodel.pyfile. Maybe I overlooked some other option to do this; please let me know if that changes are redundant.