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ModelSignatureConstants
Based on BERT SavedModel reference, for instance:
Based on BERT SavedModel reference, for instance:
signature_def['serving_default']: The given SavedModel SignatureDef contains the following input(s):
inputs['attention_mask'] tensor_info: dtype: DT_INT32 shape: (-1, -1) name: serving_default_attention_mask:0
inputs['input_ids'] tensor_info: dtype: DT_INT32 shape: (-1, -1) name: serving_default_input_ids:0
inputs['token_type_ids'] tensor_info: dtype: DT_INT32 shape: (-1, -1) name: serving_default_token_type_ids:0
The given SavedModel SignatureDef contains the following output(s):
outputs['last_hidden_state'] tensor_info: dtype: DT_FLOAT shape: (-1, -1, 768) name: StatefulPartitionedCall:0
outputs['pooler_output'] tensor_info: dtype: DT_FLOAT shape: (-1, 768) name: StatefulPartitionedCall:1
Method name is: tensorflow/serving/predict*
- object ModelSignatureManager