kabeer11000

class NeuMF(torch.nn.Module):
    def __init__(self, config):
        super(NeuMF, self).__init__()

        #mf part
        self.embedding_user_mf = torch.nn.Embedding(num_embeddings=self.num_users, embedding_dim=self.latent_dim_mf)
        self.embedding_item_mf = torch.nn.Embedding(num_embeddings=self.num_items, embedding_dim=self.latent_dim_mf)
        
        #mlp part
        self.embedding_user_mlp = torch.nn.Embedding(num_embeddings=self.num_users, embedding_dim=self.latent_dim_mlp)

kabeer11000

#!/usr/bin/env python
# Dependencies:
#     ffmpeg: https://www.ffmpeg.org/download.html
#     fpcalc: https://acoustid.org/chromaprint
from datetime import datetime
import os
import os.path
import json
import math
import shutil