SavedConcreteFunctionOrBuilder

antarmuka publik SavedConcreteFunctionOrBuilder
Subkelas Tidak Langsung yang Diketahui

Metode Publik

abstrak ke dalam
getBoundInputs (indeks int)
 Bound inputs to the function.
abstrak ke dalam
getBoundInputsCount ()
 Bound inputs to the function.
Daftar abstrak<Bilangan Bulat>
dapatkanBoundInputsList ()
 Bound inputs to the function.
Nilai Terstruktur abstrak
dapatkanCanonicalizedInputSignature ()
 Input in canonicalized form that was received to create this concrete
 function.
abstrak StructuredValueOrBuilder
getCanonicalizedInputSignatureOrBuilder ()
 Input in canonicalized form that was received to create this concrete
 function.
Nilai Terstruktur abstrak
dapatkanOutputSignature ()
 Output that was the return value of this function after replacing all
 Tensors with TensorSpecs.
abstrak StructuredValueOrBuilder
dapatkanOutputSignatureOrBuilder ()
 Output that was the return value of this function after replacing all
 Tensors with TensorSpecs.
boolean abstrak
hasCanonicalizedInputSignature ()
 Input in canonicalized form that was received to create this concrete
 function.
boolean abstrak
hasOutputSignature ()
 Output that was the return value of this function after replacing all
 Tensors with TensorSpecs.

Metode Publik

abstrak publik int getBoundInputs (indeks int)

 Bound inputs to the function. The SavedObjects identified by the node ids
 given here are appended as extra inputs to the caller-supplied inputs.
 The only types of SavedObjects valid here are SavedVariable, SavedResource
 and SavedAsset.
 
repeated int32 bound_inputs = 2;

abstrak publik int getBoundInputsCount ()

 Bound inputs to the function. The SavedObjects identified by the node ids
 given here are appended as extra inputs to the caller-supplied inputs.
 The only types of SavedObjects valid here are SavedVariable, SavedResource
 and SavedAsset.
 
repeated int32 bound_inputs = 2;

Daftar abstrak publik<Integer> getBoundInputsList ()

 Bound inputs to the function. The SavedObjects identified by the node ids
 given here are appended as extra inputs to the caller-supplied inputs.
 The only types of SavedObjects valid here are SavedVariable, SavedResource
 and SavedAsset.
 
repeated int32 bound_inputs = 2;

abstrak publik StructuredValue getCanonicalizedInputSignature ()

 Input in canonicalized form that was received to create this concrete
 function.
 
.tensorflow.StructuredValue canonicalized_input_signature = 3;

abstrak publik StructuredValueOrBuilder getCanonicalizedInputSignatureOrBuilder ()

 Input in canonicalized form that was received to create this concrete
 function.
 
.tensorflow.StructuredValue canonicalized_input_signature = 3;

abstrak publik StructuredValue getOutputSignature ()

 Output that was the return value of this function after replacing all
 Tensors with TensorSpecs. This can be an arbitrary nested function and will
 be used to reconstruct the full structure from pure tensors.
 
.tensorflow.StructuredValue output_signature = 4;

abstrak publik StructuredValueOrBuilder getOutputSignatureOrBuilder ()

 Output that was the return value of this function after replacing all
 Tensors with TensorSpecs. This can be an arbitrary nested function and will
 be used to reconstruct the full structure from pure tensors.
 
.tensorflow.StructuredValue output_signature = 4;

boolean abstrak publik hasCanonicalizedInputSignature ()

 Input in canonicalized form that was received to create this concrete
 function.
 
.tensorflow.StructuredValue canonicalized_input_signature = 3;

boolean abstrak publik hasOutputSignature ()

 Output that was the return value of this function after replacing all
 Tensors with TensorSpecs. This can be an arbitrary nested function and will
 be used to reconstruct the full structure from pure tensors.
 
.tensorflow.StructuredValue output_signature = 4;