TensorProto

classe finale publique TensorProto

 Protocol buffer representing a tensor.
de type tensorflow.TensorProto

Classes imbriquées

classe TensorProto.Builder
 Protocol buffer representing a tensor. 

Constantes

int BOOL_VAL_FIELD_NUMBER
int DCOMPLEX_VAL_FIELD_NUMBER
int DOUBLE_VAL_FIELD_NUMBER
int DTYPE_FIELD_NUMBER
int FLOAT_VAL_FIELD_NUMBER
int HALF_VAL_FIELD_NUMBER
int INT64_VAL_FIELD_NUMBER
int INT_VAL_FIELD_NUMBER
int RESOURCE_HANDLE_VAL_FIELD_NUMBER
int SCOMPLEX_VAL_FIELD_NUMBER
int STRING_VAL_FIELD_NUMBER
int TENSOR_CONTENT_FIELD_NUMBER
int TENSOR_SHAPE_FIELD_NUMBER
int UINT32_VAL_FIELD_NUMBER
int UINT64_VAL_FIELD_NUMBER
int VARIANT_VAL_FIELD_NUMBER
int VERSION_NUMBER_FIELD_NUMBER

Méthodes publiques

booléen
est égal (Obj objet)
booléen
getBoolVal (index entier)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
int
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
Liste<Booléen>
getBoolValListe ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
double
getDcomplexVal (index int)
 DT_COMPLEX128.
int
getDcomplexValCount ()
 DT_COMPLEX128.
Liste<Double>
getDcomplexValList ()
 DT_COMPLEX128.
TensorProto statique
getDefaultInstance ()
TensorProto
getDefaultInstanceForType ()
final statique com.google.protobuf.Descriptors.Descriptor
getDescripteur ()
double
getDoubleVal (index entier)
 DT_DOUBLE.
int
getDoubleValCount ()
 DT_DOUBLE.
Liste<Double>
getDoubleValListe ()
 DT_DOUBLE.
Type de données
getDtype ()
.tensorflow.DataType dtype = 1;
int
getDtypeValue ()
.tensorflow.DataType dtype = 1;
flotter
getFloatVal (index int)
 DT_FLOAT.
int
getFloatValCount ()
 DT_FLOAT.
Liste<Flottant>
getFloatValList ()
 DT_FLOAT.
int
getHalfVal (index int)
 DT_HALF, DT_BFLOAT16.
int
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
Liste<Entier>
getHalfValListe ()
 DT_HALF, DT_BFLOAT16.
long
getInt64Val (index int)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
int
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
Liste<Long>
getInt64ValListe ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
int
getIntVal (index entier)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
int
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
Liste<Entier>
getIntValListe ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
getParserForType ()
ResourceHandleProto
getResourceHandleVal (index int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
int
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Liste< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (index int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Liste<? étend ResourceHandleProtoOrBuilder >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
flotter
getScomplexVal (index int)
 DT_COMPLEX64.
int
getScomplexValCount ()
 DT_COMPLEX64.
Liste<Flottant>
getScomplexValList ()
 DT_COMPLEX64.
int
getSerializedSize ()
com.google.protobuf.ByteString
getStringVal (index int)
 DT_STRING
repeated bytes string_val = 8;
int
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
Liste<ByteString>
getStringValListe ()
 DT_STRING
repeated bytes string_val = 8;
com.google.protobuf.ByteString
getTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorShapeProto
getTensorShape ()
 Shape of the tensor.
TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 Shape of the tensor.
int
getUint32Val (index int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
int
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
Liste<Entier>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
long
getUint64Val (index int)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
int
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Liste<Long>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
final com.google.protobuf.UnknownFieldSet
getUnknownFields ()
VariantTensorDataProto
getVariantVal (index int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Liste < VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (index int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Liste<? étend VariantTensorDataProtoOrBuilder >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int
obtenir le numéro de version ()
 Version number.
booléen
hasTensorShape ()
 Shape of the tensor.
int
Code de hachage ()
booléen final
estInitialisé ()
TensorProto.Builder statique
nouveauBuilder ()
TensorProto.Builder statique
newBuilder (prototype TensorProto )
TensorProto.Builder
nouveauBuilderForType ()
TensorProto statique
parseDelimitedFrom (entrée InputStream)
TensorProto statique
parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto statique
parseFrom (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto statique
parseFrom (entrée com.google.protobuf.CodedInputStream)
TensorProto statique
parseFrom (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto statique
parseFrom (données ByteBuffer)
TensorProto statique
parseFrom (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto statique
parseFrom (données com.google.protobuf.ByteString)
TensorProto statique
parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto statique
parseFrom (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
statique
analyseur ()
TensorProto.Builder
toBuilder ()
vide
writeTo (sortie com.google.protobuf.CodedOutputStream)

Méthodes héritées

Constantes

public statique final int BOOL_VAL_FIELD_NUMBER

Valeur constante : 11

public statique final int DCOMPLEX_VAL_FIELD_NUMBER

Valeur constante : 12

public statique final int DOUBLE_VAL_FIELD_NUMBER

Valeur constante : 6

public statique final int DTYPE_FIELD_NUMBER

Valeur constante : 1

public statique final int FLOAT_VAL_FIELD_NUMBER

Valeur constante : 5

public statique final entier HALF_VAL_FIELD_NUMBER

Valeur constante : 13

public statique final int INT64_VAL_FIELD_NUMBER

Valeur constante : 10

public statique final int INT_VAL_FIELD_NUMBER

Valeur constante : 7

public statique final int RESOURCE_HANDLE_VAL_FIELD_NUMBER

Valeur constante : 14

public statique final int SCOMPLEX_VAL_FIELD_NUMBER

Valeur constante : 9

public statique final entier STRING_VAL_FIELD_NUMBER

Valeur constante : 8

public statique final int TENSOR_CONTENT_FIELD_NUMBER

Valeur constante : 4

public statique final int TENSOR_SHAPE_FIELD_NUMBER

Valeur constante : 2

public statique final int UINT32_VAL_FIELD_NUMBER

Valeur constante : 16

public statique final int UINT64_VAL_FIELD_NUMBER

Valeur constante : 17

public statique final int VARIANT_VAL_FIELD_NUMBER

Valeur constante : 15

public statique final int VERSION_NUMBER_FIELD_NUMBER

Valeur constante : 3

Méthodes publiques

public booléen égal (Objet obj)

public booléen getBoolVal (index int) 

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

public int getBoolValCount () 

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

liste publique<Boolean> getBoolValList () 

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

public double getDcomplexVal (index 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 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];

liste publique<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];

TensorProto statique public getDefaultInstance ()

public TensorProto getDefaultInstanceForType ()

public statique final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public double getDoubleVal (index int) 

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

public int getDoubleValCount () 

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

liste publique<Double> getDoubleValList () 

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

Type de données public getDtype ()

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public float getFloatVal (index int) 

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

public int getFloatValCount () 

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

liste publique<Float> getFloatValList () 

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

public int getHalfVal (index int) 

 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 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];

liste publique<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 long getInt64Val (index int) 

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

public int getInt64ValCount () 

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

liste publique<Long> getInt64ValList () 

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

public int getIntVal (index int) 

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

public int getIntValCount () 

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

liste publique<Integer> getIntValList () 

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

publique getParserForType ()

public ResourceHandleProto getResourceHandleVal (index int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

liste publique < ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (index int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Liste publique <? étend ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public float getScomplexVal (index 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 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];

liste publique<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 int getSerializedSize ()

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

 DT_STRING
repeated bytes string_val = 8;

public int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

liste publique <ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

public 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 TensorShapeProto getTensorShape () 

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

public TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

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

public int getUint32Val (index int) 

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

public int getUint32ValCount () 

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

liste publique<Integer> getUint32ValList () 

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

public long getUint64Val (index int) 

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

public int getUint64ValCount () 

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

liste publique<Long> getUint64ValList () 

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

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

public VariantTensorDataProto getVariantVal (index int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

liste publique < VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (index int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

Liste publique <? étend VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public 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 booléen hasTensorShape () 

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

code de hachage int public ()

public final booléen isInitialized ()

public statique TensorProto.Builder newBuilder ()

public statique TensorProto.Builder newBuilder (prototype TensorProto )

public TensorProto.Builder newBuilderForType ()

public static TensorProto parseDelimitedFrom (entrée InputStream)

Jetés
IOException

public static TensorProto parseDelimitedFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés
IOException

TensorProto parseFrom statique public (données ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés
InvalidProtocolBufferException

TensorProto parseFrom statique public (entrée com.google.protobuf.CodedInputStream)

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IOException

TensorProto parseFrom statique public (données octet[], com.google.protobuf.ExtensionRegistryLite extensionRegistry)

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InvalidProtocolBufferException

TensorProto parseFrom statique public (données ByteBuffer)

Jetés
InvalidProtocolBufferException

TensorProto parseFrom statique public (entrée com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés
IOException

TensorProto parseFrom statique public (données com.google.protobuf.ByteString)

Jetés
InvalidProtocolBufferException

public static TensorProto parseFrom (entrée InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés
IOException

TensorProto parseFrom statique public (données com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Jetés
InvalidProtocolBufferException

public statique analyseur ()

public TensorProto.Builder toBuilder ()

public void writeTo (sortie com.google.protobuf.CodedOutputStream)

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IOException