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configs.py
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configs.py
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which_config = 1
class Config0(object):
init_scale = 0.04
learning_rate = 1.0
max_grad_norm = 10
num_layers = 1
num_steps = 15
hidden_size = 40 # fix
max_lr_epoch = 100
max_max_epoch = 1000
keep_prob = 1
lr_decay = 1 / 1.02
batch_size = 100
output_size = 40
# use_gpu = '/gpu:0'
class Config1(object):
init_scale = 0.04
learning_rate = 1.0
max_grad_norm = 10
num_layers = 1
num_steps = 1
hidden_size = 40 # fix
max_lr_epoch = 100
max_max_epoch = 1000
keep_prob = 1
lr_decay = 1 / 1.02
batch_size = 100
output_size = 40
use_gpu = '/gpu:1'
class Config2(object):
init_scale = 0.04
learning_rate = 1.0
max_grad_norm = 10
num_layers = 1
num_steps = 7
hidden_size = 40 # fix
max_lr_epoch = 100
max_max_epoch = 1000
keep_prob = 1
lr_decay = 1 / 1.02
batch_size = 100
output_size = 40
# use_gpu = '/gpu:2'
class Default(object):
init_scale = 0.04
learning_rate = 1.0
max_grad_norm = 10
num_layers = 1
num_steps = 10
hidden_size = 40 # fix
max_lr_epoch = 14
max_max_epoch = 1000
keep_prob = 1
lr_decay = 1 / 1.01
batch_size = 100
output_size = 40
# use_gpu = '/gpu:2'