classe finale pubblica TensorProto
Protocol buffer representing a tensor.Tipo protobuf
tensorflow.TensorProto
Classi nidificate
classe | TensorProto.Builder | Protocol buffer representing a tensor. |
Costanti
Metodi pubblici
booleano | è uguale a (Oggetto oggetto) |
booleano | getBoolVal (indice int) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
int | getBoolValCount () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
Elenco<Booleano> | getBoolValList () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
Doppio | getDcomplexVal (indice int) DT_COMPLEX128. |
int | getDcomplexValCount () DT_COMPLEX128. |
Elenco<Doppio> | getDcomplexValList () DT_COMPLEX128. |
TensoreProto statico | |
TensoreProto | |
com.google.protobuf.Descriptors.Descriptor statico finale | |
Doppio | getDoubleVal (indice int) DT_DOUBLE. |
int | getDoubleValCount () DT_DOUBLE. |
Elenco<Doppio> | getDoubleValList () DT_DOUBLE. |
Tipo di dati | getDtipo () .tensorflow.DataType dtype = 1; |
int | getDtipoValore () .tensorflow.DataType dtype = 1; |
galleggiante | getFloatVal (indice int) DT_FLOAT. |
int | getFloatValCount () DT_FLOAT. |
Elenco<mobile> | getFloatValList () DT_FLOAT. |
int | getHalfVal (indice int) DT_HALF, DT_BFLOAT16. |
int | getHalfValCount () DT_HALF, DT_BFLOAT16. |
Elenco<intero> | getHalfValList () DT_HALF, DT_BFLOAT16. |
lungo | getInt64Val (indice int) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
int | getInt64ValCount () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
Elenco<Lungo> | getInt64ValList () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
int | getIntVal (indice int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
int | getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
Elenco<intero> | getIntValLista () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
ResourceHandleProto | getResourceHandleVal (indice int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
int | getResourceHandleValCount () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Elenco< ResourceHandleProto > | getResourceHandleValList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ResourceHandleProtoOrBuilder | getResourceHandleValOrBuilder (indice int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Elenco<? estende ResourceHandleProtoOrBuilder > | getResourceHandleValOrBuilderList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
galleggiante | getScomplexVal (indice int) DT_COMPLEX64. |
int | getScomplexValCount () DT_COMPLEX64. |
Elenco<mobile> | getScomplexValList () DT_COMPLEX64. |
int | |
com.google.protobuf.ByteString | getStringVal (indice int) DT_STRING repeated bytes string_val = 8; |
int | getStringValCount () DT_STRING repeated bytes string_val = 8; |
Elenco<ByteString> | getStringValList () 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 (indice int) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
int | getUint32ValCount () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
Elenco<intero> | getUint32ValList () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
lungo | getUint64Val (indice int) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
int | getUint64ValCount () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
Elenco<Lungo> | getUint64ValList () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
finale com.google.protobuf.UnknownFieldSet | |
VariantTensorDataProto | getVariantVal (indice int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
int | getVariantValCount () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Elenco< VariantTensorDataProto > | getVariantValList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
VariantTensorDataProtoOrBuilder | getVariantValOrBuilder (indice int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Elenco<? estende VariantTensorDataProtoOrBuilder > | getVariantValOrBuilderList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
int | getNumeroVersione () Version number. |
booleano | haTensorShape () Shape of the tensor. |
int | codice hash () |
booleano finale | |
TensorProto.Builder statico | |
TensorProto.Builder statico | newBuilder (prototipo TensorProto ) |
TensorProto.Builder | |
TensoreProto statico | parseDelimitedFrom (input InputStream) |
TensoreProto statico | parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensoreProto statico | parseFrom (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensoreProto statico | parseFrom (ingresso com.google.protobuf.CodedInputStream) |
TensoreProto statico | parseFrom (byte[] dati, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensoreProto statico | parseFrom (dati ByteBuffer) |
TensoreProto statico | parseFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry) |
TensoreProto statico | parseFrom (dati com.google.protobuf.ByteString) |
TensoreProto statico | parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensoreProto statico | parseFrom (dati com.google.protobuf.ByteString, estensione com.google.protobuf.ExtensionRegistryLiteRegistry) |
statico | analizzatore () |
TensorProto.Builder | toBuilder () |
vuoto | writeTo (output com.google.protobuf.CodedOutputStream) |
Metodi ereditati
Costanti
public static final int BOOL_VAL_FIELD_NUMBER
Valore costante: 11
public static final int DCOMPLEX_VAL_FIELD_NUMBER
Valore costante: 12
public static final int DOUBLE_VAL_FIELD_NUMBER
Valore costante: 6
public static final int DTYPE_FIELD_NUMBER
Valore costante: 1
public static final int FLOAT_VAL_FIELD_NUMBER
Valore costante: 5
public static final int HALF_VAL_FIELD_NUMBER
Valore costante: 13
public static final int INT64_VAL_FIELD_NUMBER
Valore costante: 10
public static final int INT_VAL_FIELD_NUMBER
Valore costante: 7
public static final int RESOURCE_HANDLE_VAL_FIELD_NUMBER
Valore costante: 14
public static final int SCOMPLEX_VAL_FIELD_NUMBER
Valore costante: 9
pubblico statico finale int STRING_VAL_FIELD_NUMBER
Valore costante: 8
public static final int TENSOR_CONTENT_FIELD_NUMBER
Valore costante: 4
public static final int TENSOR_SHAPE_FIELD_NUMBER
Valore costante: 2
public static final int UINT32_VAL_FIELD_NUMBER
Valore costante: 16
public static final int UINT64_VAL_FIELD_NUMBER
Valore costante: 17
public static final int VARIANT_VAL_FIELD_NUMBER
Valore costante: 15
public static final int VERSION_NUMBER_FIELD_NUMBER
Valore costante: 3
Metodi pubblici
booleano pubblico è uguale a (Oggetto obj)
pubblico booleano getBoolVal (indice int)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public int getBoolValCount ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
elenco pubblico<Booleano> getBoolValList ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public double getDcomplexVal (indice 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];
elenco pubblico<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 static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public double getDoubleVal (indice int)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
pubblico int getDoubleValCount ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
elenco pubblico<Double> getDoubleValList ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public int getDtypeValue ()
.tensorflow.DataType dtype = 1;
public float getFloatVal (indice int)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public int getFloatValCount ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
elenco pubblico<Float> getFloatValList ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public int getHalfVal (indice 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];
elenco pubblico<intero> 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];
pubblico lungo getInt64Val (indice int)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
pubblico int getInt64ValCount ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
elenco pubblico<Long> getInt64ValList ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public int getIntVal (indice 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];
elenco pubblico<intero> getIntValList ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
pubblico getParserForType ()
public ResourceHandleProto getResourceHandleVal (indice int)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public int getResourceHandleValCount ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Elenco pubblico< ResourceHandleProto > getResourceHandleValList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (indice int)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Elenco pubblico<? estende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public float getScomplexVal (indice 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];
elenco pubblico<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 ()
pubblico com.google.protobuf.ByteString getStringVal (indice int)
DT_STRING
repeated bytes string_val = 8;
public int getStringValCount ()
DT_STRING
repeated bytes string_val = 8;
elenco pubblico<ByteString> getStringValList ()
DT_STRING
repeated bytes string_val = 8;
pubblico 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 (indice int)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
pubblico int getUint32ValCount ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
elenco pubblico<intero> getUint32ValList ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
pubblico lungo getUint64Val (indice int)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
pubblico int getUint64ValCount ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
elenco pubblico<Long> getUint64ValList ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
pubblico finale com.google.protobuf.UnknownFieldSet getUnknownFields ()
public VariantTensorDataProto getVariantVal (indice int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public int getVariantValCount ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Elenco pubblico< VariantTensorDataProto > getVariantValList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (indice int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Elenco pubblico<? estende 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;
pubblico booleano hasTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public int hashCode ()
public final booleano isInitialized ()
pubblico statico TensorProto parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lancia
IOException |
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parseFrom pubblico statico TensorProto (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lancia
InvalidProtocolBufferException |
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parseFrom TensorProto statico pubblico (input com.google.protobuf.CodedInputStream)
Lancia
IOException |
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pubblico statico TensorProto parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lancia
InvalidProtocolBufferException |
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parseFrom pubblico statico TensorProto (input com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lancia
IOException |
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parseFrom pubblico statico TensorProto (dati com.google.protobuf.ByteString)
Lancia
InvalidProtocolBufferException |
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parseFrom pubblico statico TensorProto (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lancia
IOException |
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parseFrom pubblico statico TensorProto (dati com.google.protobuf.ByteString, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
Lancia
InvalidProtocolBufferException |
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pubblico statico analizzatore ()
public void writeTo (output com.google.protobuf.CodedOutputStream)
Lancia
IOException |
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