clase final pública TensorProto
Protocol buffer representing a tensor.tipo
tensorflow.TensorProto
Clases anidadas
clase | TensorProto.Builder | Protocol buffer representing a tensor. |
Constantes
Métodos públicos
booleano | es igual a (Objeto obj) |
booleano | getBoolVal (índice int) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
En t | getBoolValCount () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
Lista <Boolean> | getBoolValList () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
doble | getDcomplexVal (índice int) DT_COMPLEX128. |
En t | getDcomplexValCount () DT_COMPLEX128. |
Lista <Doble> | getDcomplexValList () DT_COMPLEX128. |
TensorProto estático | |
TensorProto | |
com.google.protobuf.Descriptors.Descriptor estático final | |
doble | getDoubleVal (índice int) DT_DOUBLE. |
En t | getDoubleValCount () DT_DOUBLE. |
Lista <Doble> | getDoubleValList () DT_DOUBLE. |
Tipo de datos | getDtype () .tensorflow.DataType dtype = 1; |
En t | getDtypeValue () .tensorflow.DataType dtype = 1; |
flotador | getFloatVal (índice int) DT_FLOAT. |
En t | getFloatValCount () DT_FLOAT. |
Lista <Float> | getFloatValList () DT_FLOAT. |
En t | getHalfVal (índice int) DT_HALF, DT_BFLOAT16. |
En t | getHalfValCount () DT_HALF, DT_BFLOAT16. |
Lista <Intero> | getHalfValList () DT_HALF, DT_BFLOAT16. |
largo | getInt64Val (índice int) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
En t | getInt64ValCount () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
Lista <larga> | getInt64ValList () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
En t | getIntVal (índice int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
En t | getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
Lista <Intero> | getIntValList () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
ResourceHandleProto | getResourceHandleVal (índice int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
En t | getResourceHandleValCount () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Lista < ResourceHandleProto > | getResourceHandleValList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ResourceHandleProtoOrBuilder | getResourceHandleValOrBuilder (índice int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Lista <? extiende ResourceHandleProtoOrBuilder > | getResourceHandleValOrBuilderList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
flotador | getScomplexVal (índice int) DT_COMPLEX64. |
En t | getScomplexValCount () DT_COMPLEX64. |
Lista <Float> | getScomplexValList () DT_COMPLEX64. |
En t | |
com.google.protobuf.ByteString | getStringVal (índice int) DT_STRING repeated bytes string_val = 8; |
En t | getStringValCount () DT_STRING repeated bytes string_val = 8; |
Lista <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. |
En t | getUint32Val (índice int) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
En t | getUint32ValCount () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
Lista <Intero> | getUint32ValList () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
largo | getUint64Val (índice int) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
En t | getUint64ValCount () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
Lista <larga> | getUint64ValList () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
final com.google.protobuf.UnknownFieldSet | |
VariantTensorDataProto | getVariantVal (índice int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
En t | getVariantValCount () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Lista < VariantTensorDataProto > | getVariantValList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
VariantTensorDataProtoOrBuilder | getVariantValOrBuilder (índice int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Lista <? extiende VariantTensorDataProtoOrBuilder > | getVariantValOrBuilderList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
En t | getVersionNumber () Version number. |
booleano | hasTensorShape () Shape of the tensor. |
En t | hashCode () |
booleano final | |
estático TensorProto.Builder | newBuilder () |
estático TensorProto.Builder | newBuilder (prototipo de TensorProto ) |
TensorProto.Builder | |
TensorProto estático | parseDelimitedFrom (entrada InputStream) |
TensorProto estático | parseDelimitedFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto estático | parseFrom (datos ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto estático | parseFrom (entrada com.google.protobuf.CodedInputStream) |
TensorProto estático | parseFrom (byte [] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto estático | parseFrom (datos ByteBuffer) |
TensorProto estático | parseFrom (entrada com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto estático | parseFrom (datos com.google.protobuf.ByteString) |
TensorProto estático | parseFrom (entrada InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto estático | parseFrom (datos com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
estático | analizador () |
TensorProto.Builder | toBuilder () |
vacío | writeTo (salida de com.google.protobuf.CodedOutputStream) |
Métodos heredados
Constantes
public static final int BOOL_VAL_FIELD_NUMBER
Valor constante: 11
public static final int DCOMPLEX_VAL_FIELD_NUMBER
Valor constante: 12
público estático final int DOUBLE_VAL_FIELD_NUMBER
Valor constante: 6
public static final int DTYPE_FIELD_NUMBER
Valor constante: 1
public static final int FLOAT_VAL_FIELD_NUMBER
Valor constante: 5
public static final int HALF_VAL_FIELD_NUMBER
Valor constante: 13
público estático final int INT64_VAL_FIELD_NUMBER
Valor constante: 10
público estático final int INT_VAL_FIELD_NUMBER
Valor constante: 7
public static final int RESOURCE_HANDLE_VAL_FIELD_NUMBER
Valor constante: 14
public static final int SCOMPLEX_VAL_FIELD_NUMBER
Valor constante: 9
público estático final int STRING_VAL_FIELD_NUMBER
Valor constante: 8
public static final int TENSOR_CONTENT_FIELD_NUMBER
Valor constante: 4
public static final int TENSOR_SHAPE_FIELD_NUMBER
Valor constante: 2
public static final int UINT32_VAL_FIELD_NUMBER
Valor constante: 16
public static final int UINT64_VAL_FIELD_NUMBER
Valor constante: 17
public static final int VARIANT_VAL_FIELD_NUMBER
Valor constante: 15
public static final int VERSION_NUMBER_FIELD_NUMBER
Valor constante: 3
Métodos públicos
public boolean es igual a (Object obj)
getBoolVal booleano público (índice int)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public int getBoolValCount ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
Lista pública <Boolean> getBoolValList ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public double getDcomplexVal (int index)
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];
Lista pública <Doble> 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];
público estático final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public double getDoubleVal (int index)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public int getDoubleValCount ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
Lista pública <Doble> getDoubleValList ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public int getDtypeValue ()
.tensorflow.DataType dtype = 1;
public float getFloatVal (índice int)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public int getFloatValCount ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
Lista pública <Float> getFloatValList ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public int getHalfVal (int índice)
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];
Public 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 long getInt64Val (índice int)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public int getInt64ValCount ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
Lista pública <Long> getInt64ValList ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public int getIntVal (int índice)
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];
Public List <Integer> getIntValList ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
público getParserForType ()
public ResourceHandleProto getResourceHandleVal (índice int)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public int getResourceHandleValCount ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista pública < ResourceHandleProto > getResourceHandleValList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (índice int)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
lista pública <? extiende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public flotante 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 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];
Lista pública <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 (índice int)
DT_STRING
repeated bytes string_val = 8;
public int getStringValCount ()
DT_STRING
repeated bytes string_val = 8;
Lista pública <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 (int índice)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public int getUint32ValCount ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
Public List <Integer> getUint32ValList ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
getUint64Val largo público (índice int)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public int getUint64ValCount ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Lista pública <Long> getUint64ValList ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public final com.google.protobuf.UnknownFieldSet getUnknownFields ()
public VariantTensorDataProto getVariantVal (índice int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public int getVariantValCount ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
lista pública < VariantTensorDataProto > getVariantValList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (índice int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
lista pública <? extiende 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
int32 version_number = 3;
public boolean hasTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public int hashCode ()
public final boolean isInitialized ()
public static TensorProto parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lanza
IOException |
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public static TensorProto parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lanza
InvalidProtocolBufferException |
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público estático TensorProto parseFrom (entrada com.google.protobuf.CodedInputStream)
Lanza
IOException |
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public static TensorProto parseFrom (byte [] datos, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lanza
InvalidProtocolBufferException |
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public static TensorProto parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lanza
IOException |
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público estático TensorProto parseFrom (datos de com.google.protobuf.ByteString)
Lanza
InvalidProtocolBufferException |
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public static TensorProto parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lanza
IOException |
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public static TensorProto parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Lanza
InvalidProtocolBufferException |
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público estático analizador ()
public void writeTo (salida de com.google.protobuf.CodedOutputStream)
Lanza
IOException |
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