Object

com.johnsnowlabs.ml.tensorflow.sign

ModelSignatureConstants

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object ModelSignatureConstants

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*

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Type Members

  1. sealed trait TFInfoDescriptor extends AnyRef

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  2. sealed trait TFInfoNameMapper extends AnyRef

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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. object AttentionMask extends TFInfoNameMapper with Product with Serializable

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  5. object AttentionMaskV1 extends TFInfoNameMapper with Product with Serializable

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  6. object DType extends TFInfoDescriptor with Product with Serializable

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  7. object DecoderAttentionMask extends TFInfoNameMapper with Product with Serializable

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  8. object DecoderEncoderInputIds extends TFInfoNameMapper with Product with Serializable

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  9. object DecoderInputIds extends TFInfoNameMapper with Product with Serializable

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  10. object DecoderOutput extends TFInfoNameMapper with Product with Serializable

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  11. object DimCount extends TFInfoDescriptor with Product with Serializable

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  12. object EncoderAttentionMask extends TFInfoNameMapper with Product with Serializable

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  13. object EncoderInputIds extends TFInfoNameMapper with Product with Serializable

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  14. object EncoderOutput extends TFInfoNameMapper with Product with Serializable

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  15. object InputIds extends TFInfoNameMapper with Product with Serializable

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  16. object InputIdsV1 extends TFInfoNameMapper with Product with Serializable

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  17. object LastHiddenState extends TFInfoNameMapper with Product with Serializable

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  18. object LastHiddenStateV1 extends TFInfoNameMapper with Product with Serializable

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  19. object LogitsOutput extends TFInfoNameMapper with Product with Serializable

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  20. object Name extends TFInfoDescriptor with Product with Serializable

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  21. object PoolerOutput extends TFInfoNameMapper with Product with Serializable

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  22. object PoolerOutputV1 extends TFInfoNameMapper with Product with Serializable

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  23. object SerializedSize extends TFInfoDescriptor with Product with Serializable

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  24. object ShapeDimList extends TFInfoDescriptor with Product with Serializable

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  25. object TokenTypeIds extends TFInfoNameMapper with Product with Serializable

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  26. object TokenTypeIdsV1 extends TFInfoNameMapper with Product with Serializable

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  27. final def asInstanceOf[T0]: T0

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  28. def clone(): AnyRef

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  29. final def eq(arg0: AnyRef): Boolean

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  30. def equals(arg0: Any): Boolean

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  31. def finalize(): Unit

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  32. final def getClass(): Class[_]

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  33. def getSignaturePatterns(modelProvider: String): Array[Regex]

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    Retrieve signature patterns for a given provider

    Retrieve signature patterns for a given provider

    modelProvider

    : the provider library that built the model and the signatures

    returns

    reference keys array of signature patterns for a given provider

  34. def hashCode(): Int

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  35. final def isInstanceOf[T0]: Boolean

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  36. final def ne(arg0: AnyRef): Boolean

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  37. final def notify(): Unit

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  38. final def notifyAll(): Unit

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  39. final def synchronized[T0](arg0: ⇒ T0): T0

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  40. def toAdoptedKeys(keyName: String): String

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    Convert signatures key names to normalize naming conventions

  41. def toString(): String

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  42. final def wait(): Unit

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  43. final def wait(arg0: Long, arg1: Int): Unit

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  44. final def wait(arg0: Long): Unit

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