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def | __init__ (self, model, input_record, name='batch_normalization', scale_optim=None, bias_optim=None, momentum=0.9, order='NCHW', kwargs) |
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def | add_train_ops (self, net) |
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def | add_eval_ops (self, net) |
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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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Definition at line 12 of file batch_normalization.py.