Python expand_str_ep Exemples

Exemple #1

Fichier : run_exp.py Projet : sciforce/pytorch-kaldi

# create res_file
res_file_path = out_folder + "/res.res"
res_file = open(res_file_path, "w")
res_file.close()


# Learning rates and architecture-specific optimization parameters
arch_lst = get_all_archs(config)
lr = {}
auto_lr_annealing = {}
improvement_threshold = {}
halving_factor = {}
pt_files = {}

for arch in arch_lst:
    lr[arch] = expand_str_ep(config[arch]["arch_lr"], "float", N_ep, "|", "*")
    if len(config[arch]["arch_lr"].split("|")) > 1:
        auto_lr_annealing[arch] = False
    else:
        auto_lr_annealing[arch] = True
    improvement_threshold[arch] = float(config[arch]["arch_improvement_threshold"])
    halving_factor[arch] = float(config[arch]["arch_halving_factor"])
    pt_files[arch] = config[arch]["arch_pretrain_file"]


# If production, skip training and forward directly from last saved models
if is_production:
    ep = N_ep - 1
    N_ep = 0
    model_files = {}

Exemple #2

# create res_file
res_file_path = out_folder + '/res.res'
res_file = open(res_file_path, "w")
res_file.close()

# Learning rates and architecture-specific optimization parameters
arch_lst = get_all_archs(config)
lr = {}
auto_lr_annealing = {}
improvement_threshold = {}
halving_factor = {}
pt_files = {}

for arch in arch_lst:
    lr[arch] = expand_str_ep(config[arch]['arch_lr'], 'float', N_ep, '|', '*')
    if len(config[arch]['arch_lr'].split('|')) > 1:
        auto_lr_annealing[arch] = False
    else:
        auto_lr_annealing[arch] = True
    improvement_threshold[arch] = float(
        config[arch]['arch_improvement_threshold'])
    halving_factor[arch] = float(config[arch]['arch_halving_factor'])
    pt_files[arch] = config[arch]['arch_pretrain_file']

# If production, skip training and forward directly from last saved models
if is_production:
    ep = N_ep - 1
    N_ep = 0
    model_files = {}