opt.n_epochs = 30 # # of epochs without lr decay
opt.n_epochs_decay = 30 # # of epochs with lr decay
opt.lr_policy = 'linear' # decay policy. Availability: see options/train_options.py
opt.beta1 = 0.5 # parameter for ADAM
opt.lr = 5e-4
############################ Things recommanded to be changed ##########################################
# Set up the training procedure
opt.C_channel = 12
opt.SNR = 20
opt.is_feedback = False
opt.feedforward = 'EXPLICIT-RES'
opt.N_pilot = 2 # Number of pilots for chanenl estimation
opt.CE = 'MMSE' # Channel Estimation Method
opt.EQ = 'MMSE' # Equalization Method
opt.pilot = 'ZadoffChu' # QPSK or ZadoffChu
opt.is_clip = False
opt.CR = 0 if not opt.is_clip else 1
opt.is_regu_PAPR = True
opt.lam_PAPR = 0.5
opt.is_regu_sigma = False
opt.lam_sigma = 100
##############################################################################################################
# Set up the loss function
opt.lambda_L2 = 128 # The weight for L2 loss
opt.is_Feat = False # Whether to use feature matching loss or not
opt.lambda_feat = 1
