def handle_batch_normalization(cls, node, input_dict):
   return TensorflowBackendV1.handle_batch_normalization(node, input_dict)
 def handle_max_pool(cls, node, input_dict):
     return TensorflowBackendV1.handle_max_pool(node, input_dict)
Exemple #3
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 def handle_p_relu(cls, node, input_dict):
     return TensorflowBackendV1.handle_p_relu(node, input_dict)
Exemple #4
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 def handle_neg(cls, node, input_dict):
     return TensorflowBackendV1.handle_trivial(node, input_dict)
Exemple #5
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 def handle_min(cls, node, input_dict):
     return TensorflowBackendV1.handle_min(node, input_dict)
Exemple #6
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 def handle_hard_sigmoid(cls, node, input_dict):
     return TensorflowBackendV1.handle_hard_sigmoid(node, input_dict)
Exemple #7
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 def handle_dropout(cls, node, input_dict):
     return TensorflowBackendV1.handle_dropout(node, input_dict)