publiczna klasa końcowa TensorProto
Protocol buffer representing a tensor.Protobuf typu
tensorflow.TensorProto
Klasy zagnieżdżone
klasa | TensorProto.Builder | Protocol buffer representing a tensor. |
Stałe
Metody publiczne
wartość logiczna | równa się (obiekt obiektu) |
wartość logiczna | getBoolVal (indeks int) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
wew | getBoolValCount () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
Lista<Boolean> | getBoolValList () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
podwójnie | getDcomplexVal (indeks int) DT_COMPLEX128. |
wew | getDcomplexValCount () DT_COMPLEX128. |
Lista<Podwójne> | getDcomplexValList () DT_COMPLEX128. |
statyczny TensorProto | |
TensorProto | |
końcowy statyczny com.google.protobuf.Descriptors.Descriptor | |
podwójnie | getDoubleVal (indeks int) DT_DOUBLE. |
wew | getDoubleValCount () DT_DOUBLE. |
Lista<Podwójne> | getDoubleValList () DT_DOUBLE. |
Typ danych | getDtype () .tensorflow.DataType dtype = 1; |
wew | getDtypeValue () .tensorflow.DataType dtype = 1; |
platforma | getFloatVal (indeks int) DT_FLOAT. |
wew | getFloatValCount () DT_FLOAT. |
Lista<Float> | getFloatValList () DT_FLOAT. |
wew | getHalfVal (indeks int) DT_HALF, DT_BFLOAT16. |
wew | getHalfValCount () DT_HALF, DT_BFLOAT16. |
Lista<liczba całkowita> | getHalfValList () DT_HALF, DT_BFLOAT16. |
długi | getInt64Val (indeks int) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
wew | getInt64ValCount () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
Lista<Długa> | getInt64ValList () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
wew | getIntVal (indeks int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
wew | getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
Lista<liczba całkowita> | getIntValList () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
ResourceHandleProto | getResourceHandleVal (indeks int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
wew | getResourceHandleValCount () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Lista< ResourceHandleProto > | getResourceHandleValList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ResourceHandleProtoOrBuilder | getResourceHandleValOrBuilder (indeks int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Lista<? rozszerza ResourceHandleProtoOrBuilder > | getResourceHandleValOrBuilderList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
platforma | getScomplexVal (indeks int) DT_COMPLEX64. |
wew | getScomplexValCount () DT_COMPLEX64. |
Lista<Float> | getScomplexValList () DT_COMPLEX64. |
wew | |
com.google.protobuf.ByteString | getStringVal (indeks int) DT_STRING repeated bytes string_val = 8; |
wew | getStringValCount () DT_STRING repeated bytes string_val = 8; |
Lista<ByteString> | getStringValList () DT_STRING repeated bytes string_val = 8; |
com.google.protobuf.ByteString | pobierzTensorContent () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
TensorShapeProto | pobierzTensorShape () Shape of the tensor. |
TensorShapeProtoOrBuilder | getTensorShapeOrBuilder () Shape of the tensor. |
wew | getUint32Val (indeks int) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
wew | getUint32ValCount () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
Lista<liczba całkowita> | getUint32ValList () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
długi | getUint64Val (indeks int) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
wew | getUint64ValCount () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
Lista<Długa> | getUint64ValList () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
końcowy com.google.protobuf.UnknownFieldSet | |
VariantTensorDataProto | getVariantVal (indeks int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
wew | getVariantValCount () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Lista <VariantTensorDataProto> | getVariantValList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
VariantTensorDataProtoOrBuilder | getVariantValOrBuilder (indeks int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Lista<? rozszerza VariantTensorDataProtoOrBuilder > | getVariantValOrBuilderList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
wew | pobierz numer wersji () Version number. |
wartość logiczna | maTensorShape () Shape of the tensor. |
wew | hashCode () |
końcowa wartość logiczna | |
statyczny TensorProto.Builder | |
statyczny TensorProto.Builder | newBuilder (prototyp TensorProto ) |
TensorProto.Builder | |
statyczny TensorProto | parseDelimitedFrom (wejście strumienia wejściowego) |
statyczny TensorProto | parseDelimitedFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
statyczny TensorProto | parseFrom (dane ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
statyczny TensorProto | parseFrom (wejście com.google.protobuf.CodedInputStream) |
statyczny TensorProto | parseFrom (bajt [] dane, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry) |
statyczny TensorProto | parseFrom (dane ByteBuffer) |
statyczny TensorProto | parseFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
statyczny TensorProto | parseFrom (dane com.google.protobuf.ByteString) |
statyczny TensorProto | parseFrom (dane wejścioweInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
statyczny TensorProto | parseFrom (dane com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry) |
statyczny | parser () |
TensorProto.Builder | |
próżnia | writeTo (wyjście com.google.protobuf.CodedOutputStream) |
Metody dziedziczone
Stałe
publiczny statyczny końcowy int BOOL_VAL_FIELD_NUMBER
Wartość stała: 11
publiczny statyczny końcowy int DCOMPLEX_VAL_FIELD_NUMBER
Wartość stała: 12
publiczny statyczny końcowy int DOUBLE_VAL_FIELD_NUMBER
Wartość stała: 6
publiczny statyczny końcowy int DTYPE_FIELD_NUMBER
Wartość stała: 1
publiczny statyczny końcowy int FLOAT_VAL_FIELD_NUMBER
Wartość stała: 5
publiczny statyczny końcowy int HALF_VAL_FIELD_NUMBER
Wartość stała: 13
publiczny statyczny końcowy int INT64_VAL_FIELD_NUMBER
Wartość stała: 10
publiczny statyczny końcowy int INT_VAL_FIELD_NUMBER
Wartość stała: 7
publiczny statyczny końcowy int RESOURCE_HANDLE_VAL_FIELD_NUMBER
Wartość stała: 14
publiczny statyczny końcowy int SCOMPLEX_VAL_FIELD_NUMBER
Wartość stała: 9
publiczny statyczny końcowy int STRING_VAL_FIELD_NUMBER
Wartość stała: 8
publiczny statyczny końcowy int TENSOR_CONTENT_FIELD_NUMBER
Wartość stała: 4
publiczny statyczny końcowy int TENSOR_SHAPE_FIELD_NUMBER
Wartość stała: 2
publiczny statyczny końcowy int UINT32_VAL_FIELD_NUMBER
Wartość stała: 16
publiczny statyczny końcowy int UINT64_VAL_FIELD_NUMBER
Wartość stała: 17
publiczny statyczny końcowy int VARIANT_VAL_FIELD_NUMBER
Wartość stała: 15
publiczny statyczny końcowy int VERSION_NUMBER_FIELD_NUMBER
Wartość stała: 3
Metody publiczne
publiczna wartość logiczna równa się (obiekt obiektu)
publiczna wartość logiczna getBoolVal (indeks int)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
publiczny int getBoolValCount ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public List<Boolean> getBoolValList ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public double getDcomplexVal (indeks 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];
publiczny 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 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 static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public double getDoubleVal (indeks int)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
publiczny int getDoubleValCount ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public List<Double> getDoubleValList ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
publiczny int getDtypeValue ()
.tensorflow.DataType dtype = 1;
publiczny float getFloatVal (indeks int)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
publiczny int getFloatValCount ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public List<Float> getFloatValList ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public int getHalfVal (indeks 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];
publiczny 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];
publiczny długi getInt64Val (indeks int)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
publiczny int getInt64ValCount ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
lista publiczna<Long> getInt64ValList ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public int getIntVal (indeks int)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
publiczny 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];
publiczny getParserForType ()
publiczny ResourceHandleProto getResourceHandleVal (indeks int)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public int getResourceHandleValCount ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public List< ResourceHandleProto > getResourceHandleValList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
publiczny ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (indeks int)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
lista publiczna<? rozszerza ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
publiczny float getScomplexVal (indeks 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];
publiczny 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 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];
publiczny int getSerializedSize ()
public com.google.protobuf.ByteString getStringVal (indeks int)
DT_STRING
repeated bytes string_val = 8;
publiczny int getStringValCount ()
DT_STRING
repeated bytes string_val = 8;
public List<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;
publiczny TensorShapeProto getTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
publiczny TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
public int getUint32Val (indeks int)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
publiczny int getUint32ValCount ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public List<Integer> getUint32ValList ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
publiczny długi getUint64Val (indeks int)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
publiczny int getUint64ValCount ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
lista publiczna<Long> getUint64ValList ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
publiczny finał com.google.protobuf.UnknownFieldSet getUnknownFields ()
public VariantTensorDataProto getVariantVal (indeks int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
publiczny int getVariantValCount ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public List< VariantTensorDataProto > getVariantValList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (indeks int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
lista publiczna<? rozszerza VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
publiczny 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;
publiczna wartość logiczna hasTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
publiczny int hashCode ()
publiczna końcowa wartość logiczna isInitialized ()
publiczny statyczny TensorProto parseDelimitedFrom (wejście strumienia wejściowego)
Rzuca
Wyjątek IO |
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public static TensorProto parseDelimitedFrom (dane wejściowe wejściowe, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Rzuca
Wyjątek IO |
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public static TensorProto parseFrom (dane ByteBuffer, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Rzuca
Nieprawidłowy wyjątekProtocolBufferException |
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publiczny statyczny TensorProto parseFrom (bajt [] dane, com.google.protobuf.ExtensionRegistryLite rozszerzenieRegistry)
Rzuca
Nieprawidłowy wyjątekProtocolBufferException |
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public static TensorProto parseFrom (dane ByteBuffer)
Rzuca
Nieprawidłowy wyjątekProtocolBufferException |
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public static TensorProto parseFrom (wejście com.google.protobuf.CodedInputStream, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Rzuca
Wyjątek IO |
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publiczny statyczny TensorProto parseFrom (dane com.google.protobuf.ByteString)
Rzuca
Nieprawidłowy wyjątekProtocolBufferException |
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publiczny statyczny TensorProto parseFrom (dane wejściowe wejściowe, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Rzuca
Wyjątek IO |
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public static TensorProto parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
Rzuca
Nieprawidłowy wyjątekProtocolBufferException |
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publiczna statyka parser ()
public void writeTo (wyjście com.google.protobuf.CodedOutputStream)
Rzuca
Wyjątek IO |
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