TensorProtoOrBuilder

interface pública TensorProtoOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

booleano abstrato
getBoolVal (int index)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
int abstrato
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
Lista abstrata <Boolean>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
duplo abstrato
getDcomplexVal (índice interno )
 DT_COMPLEX128.
int abstrato
getDcomplexValCount ()
 DT_COMPLEX128.
Lista abstrata <Duplo>
getDcomplexValList ()
 DT_COMPLEX128.
duplo abstrato
getDoubleVal (int index)
 DT_DOUBLE.
int abstrato
getDoubleValCount ()
 DT_DOUBLE.
Lista abstrata <Duplo>
getDoubleValList ()
 DT_DOUBLE.
DataType abstrato
getDtype ()
.tensorflow.DataType dtype = 1;
int abstrato
getDtypeValue ()
.tensorflow.DataType dtype = 1;
flutuador abstrato
getFloatVal (int index)
 DT_FLOAT.
int abstrato
getFloatValCount ()
 DT_FLOAT.
Lista abstrata <Float>
getFloatValList ()
 DT_FLOAT.
int abstrato
getHalfVal (índice interno )
 DT_HALF, DT_BFLOAT16.
int abstrato
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
Lista abstrata <Integer>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
abstrato longo
getInt64Val (índice int)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
int abstrato
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
Lista abstrata <Long>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
int abstrato
getIntVal (int index)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
int abstrato
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Lista abstrata <Integer>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
ResourceHandleProto abstrato
getResourceHandleVal (índice interno)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
int abstrato
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista abstrata < ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
abstrato ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (índice interno)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista abstrata <? estende ResourceHandleProtoOrBuilder >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
flutuador abstrato
getScomplexVal (índice interno )
 DT_COMPLEX64.
int abstrato
getScomplexValCount ()
 DT_COMPLEX64.
Lista abstrata <Float>
getScomplexValList ()
 DT_COMPLEX64.
abstract com.google.protobuf.ByteString
getStringVal (índice interno )
 DT_STRING
repeated bytes string_val = 8;
int abstrato
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
Lista abstrata <ByteString>
getStringValList ()
 DT_STRING
repeated bytes string_val = 8;
abstract com.google.protobuf.ByteString
getTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorShapeProto abstrato
getTensorShape ()
 Shape of the tensor.
TensorShapeProtoOrBuilder abstrato
getTensorShapeOrBuilder ()
 Shape of the tensor.
int abstrato
getUint32Val (índice int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
int abstrato
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
Lista abstrata <Integer>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
abstrato longo
getUint64Val (índice int)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
int abstrato
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Lista abstrata <Long>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
abstrato VariantTensorDataProto
getVariantVal (int index)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int abstrato
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista abstrata < VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
abstrato VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (índice interno )
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista abstrata <? estende VariantTensorDataProtoOrBuilder >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int abstrato
getVersionNumber ()
 Version number.
booleano abstrato
hasTensorShape ()
 Shape of the tensor.

Métodos Públicos

public abstract boolean getBoolVal (int index) 

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

public abstract int getBoolValCount () 

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

public abstract List <Boolean> getBoolValList () 

 DT_BOOL
repeated bool bool_val = 11 [packed = true];

public abstract double getDcomplexVal (índice int) 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

public abstract int getDcomplexValCount () 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

public abstract List <Double> getDcomplexValList () 

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];

public abstract double getDoubleVal (int index) 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

public abstract int getDoubleValCount () 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

public abstract List <Double> getDoubleValList () 

 DT_DOUBLE.
repeated double double_val = 6 [packed = true];

public abstract DataType getDtype ()

.tensorflow.DataType dtype = 1;

public abstract int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public abstract float getFloatVal (int index) 

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

public abstract int getFloatValCount () 

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

public abstract List <Float> getFloatValList () 

 DT_FLOAT.
repeated float float_val = 5 [packed = true];

public abstract int getHalfVal (int index) 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

public abstract int getHalfValCount () 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

public abstract List <Integer> getHalfValList () 

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
repeated int32 half_val = 13 [packed = true];

public abstract long getInt64Val (índice int) 

 DT_INT64
repeated int64 int64_val = 10 [packed = true];

public abstract int getInt64ValCount () 

 DT_INT64
repeated int64 int64_val = 10 [packed = true];

public abstract List <Long> getInt64ValList () 

 DT_INT64
repeated int64 int64_val = 10 [packed = true];

public abstract int getIntVal (int index) 

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];

public abstract int getIntValCount () 

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];

public abstract List <Integer> getIntValList () 

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];

public abstract ResourceHandleProto getResourceHandleVal (int index) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public abstract int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Lista abstrata pública < ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public abstract ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (índice interno) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Lista de resumos pública <? estende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public abstract float getScomplexVal (índice int) 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

public abstract int getScomplexValCount () 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

public abstract List <Float> getScomplexValList () 

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
repeated float scomplex_val = 9 [packed = true];

public abstract com.google.protobuf.ByteString getStringVal (int index) 

 DT_STRING
repeated bytes string_val = 8;

public abstract int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

public abstract List <ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

public abstract com.google.protobuf.ByteString getTensorContent () 

 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
 can be used for all tensor types. The purpose of this representation is to
 reduce serialization overhead during RPC call by avoiding serialization of
 many repeated small items.
bytes tensor_content = 4;

public abstract TensorShapeProto getTensorShape () 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;

public abstract TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;

public abstract int getUint32Val (índice int) 

 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];

public abstract int getUint32ValCount () 

 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];

public abstract List <Integer> getUint32ValList () 

 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];

public abstract long getUint64Val (índice int) 

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

public abstract int getUint64ValCount () 

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

public abstract List <Long> getUint64ValList () 

 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];

public abstract VariantTensorDataProto getVariantVal (int index) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public abstract int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public abstract List < VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public abstract VariantTensorDataProtoOrBuilder getVariantValOrBuilder (índice interno ) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Lista de resumos pública <? estende VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public abstract int getVersionNumber () 

 Version number.
 In version 0, if the "repeated xxx" representations contain only one
 element, that element is repeated to fill the shape.  This makes it easy
 to represent a constant Tensor with a single value.
int32 version_number = 3;

public abstract boolean hasTensorShape () 

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;