TensorRT  7.2.1.6
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models Namespace Reference

Namespaces

 meta
 

Functions

def parse_model_args (model_name, parser, add_help=False)
 
def batchnorm_to_float (module)
 
def init_bn (module)
 
def get_model (model_name, model_config, to_cuda, uniform_initialize_bn_weight=False, forward_is_infer=False)
 
def get_model_config (model_name, args)
 

Function Documentation

◆ parse_model_args()

def models.parse_model_args (   model_name,
  parser,
  add_help = False 
)
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◆ batchnorm_to_float()

def models.batchnorm_to_float (   module)
Converts batch norm to FP32

◆ init_bn()

def models.init_bn (   module)
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◆ get_model()

def models.get_model (   model_name,
  model_config,
  to_cuda,
  uniform_initialize_bn_weight = False,
  forward_is_infer = False 
)
Code chooses a model based on name
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◆ get_model_config()

def models.get_model_config (   model_name,
  args 
)
Code chooses a model based on name
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