5f465041619a63bf1de99c55d1298865bf70fd9e,reconstruction.py,,,#,19

Before Change


import timeit


MANIFOLDS = {
    "lorentz": LorentzManifold,
    "euclidean": EuclideanManifold,
    "transe": TranseManifold,
    "poincare": PoincareManifold
}

np.random.seed(42)

parser = argparse.ArgumentParser()

After Change


model = MODELS[chkpnt["conf"]["model"]](
    manifold,
    dim=chkpnt["conf"]["dim"],
    size=chkpnt["embeddings"].size(0),
    sparse=chkpnt["conf"]["sparse"]
)
model.load_state_dict(chkpnt["model"])
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 2

Instances


Project Name: facebookresearch/poincare-embeddings
Commit Name: 5f465041619a63bf1de99c55d1298865bf70fd9e
Time: 2020-01-07
Author: mattle@fb.com
File Name: reconstruction.py
Class Name:
Method Name:


Project Name: elbayadm/attn2d
Commit Name: 5a2f76ede044b4904af9461e18253f2929cfc5a4
Time: 2019-10-23
Author: dnn@fb.com
File Name: fairseq/models/levenshtein_transformer.py
Class Name: LevenshteinTransformerModel
Method Name: initialize_output_tokens