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| 
def  | __init__ (self, model, input_record, bias_init=None, bias_optim=None, name='add_bias') | 
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| 
def  | add_ops (self, net) | 
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| def  | __init__ (self, model, prefix, input_record, predict_input_record_fields=None, tags=None, kwargs) | 
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| 
def  | get_type (self) | 
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def  | predict_input_record (self) | 
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| 
def  | input_record (self) | 
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| 
def  | predict_output_schema (self) | 
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| 
def  | predict_output_schema (self, output_schema) | 
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| 
def  | output_schema (self) | 
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| 
def  | output_schema (self, output_schema) | 
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| 
def  | get_parameters (self) | 
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| def  | get_fp16_compatible_parameters (self) | 
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| 
def  | get_memory_usage (self) | 
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| def  | add_init_params (self, init_net) | 
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| 
def  | create_param (self, param_name, shape, initializer, optimizer, ps_param=None, regularizer=None) | 
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| 
def  | get_next_blob_reference (self, name) | 
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| def  | add_operators (self, net, init_net=None, context=InstantiationContext.TRAINING) | 
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| 
def  | add_ops (self, net) | 
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| 
def  | add_eval_ops (self, net) | 
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def  | add_train_ops (self, net) | 
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def  | add_ops_to_accumulate_pred (self, net) | 
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def  | add_param_copy_operators (self, net) | 
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def  | export_output_for_metrics (self) | 
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def  | export_params_for_metrics (self) | 
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 | 
| 
  | b | 
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| 
  | output_schema | 
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| 
  | name | 
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| 
  | model | 
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| 
  | kwargs | 
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| 
  | request_only | 
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| 
  | precomputation_request_only | 
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| 
  | precomputation_object_only | 
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| 
  | eval_output_schema | 
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| 
  | tags | 
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| 
  | params | 
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Definition at line 13 of file add_bias.py.
 
The documentation for this class was generated from the following file: