TensorProtoOrBuilder

genel arayüz TensorProtoOrBuilder
Bilinen Dolaylı Alt Sınıflar

Genel Yöntemler

soyut boole
getBoolVal (int dizini)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
soyut int
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
özet Listesi<Boolean>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
soyut çift
getDcomplexVal (int dizini)
 DT_COMPLEX128.
soyut int
getDcomplexValCount ()
 DT_COMPLEX128.
özet Listesi<Çift>
getDcomplexValList ()
 DT_COMPLEX128.
soyut çift
getDoubleVal (int dizini)
 DT_DOUBLE.
soyut int
getDoubleValCount ()
 DT_DOUBLE.
özet Listesi<Çift>
getDoubleValList ()
 DT_DOUBLE.
özet Veri Türü
getDtype ()
.tensorflow.DataType dtype = 1;
soyut int
getDtypeValue ()
.tensorflow.DataType dtype = 1;
soyut kayan nokta
getFloatVal (int dizini)
 DT_FLOAT.
soyut int
getFloatValCount ()
 DT_FLOAT.
özet Listesi<Float>
getFloatValList ()
 DT_FLOAT.
soyut int
getHalfVal (int dizini)
 DT_HALF, DT_BFLOAT16.
soyut int
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
özet Listesi<Tamsayı>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
soyut uzun
getInt64Val (int dizini)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
soyut int
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
Özet Listesi<Uzun>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
soyut int
getIntVal (int dizini)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
soyut int
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
özet Listesi<Tamsayı>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
özet KaynakHandleProto
getResourceHandleVal (int dizini)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
soyut int
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
özet Listesi< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
özet ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (int dizini)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Özet Liste<? ResourceHandleProtoOrBuilder'ı genişletir >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
soyut kayan nokta
getScomplexVal (int dizini)
 DT_COMPLEX64.
soyut int
getScomplexValCount ()
 DT_COMPLEX64.
özet Listesi<Float>
getScomplexValList ()
 DT_COMPLEX64.
abstract com.google.protobuf.ByteString
getStringVal (int dizini)
 DT_STRING
repeated bytes string_val = 8;
soyut int
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
özet Listesi<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.
soyut TensorShapeProto
getTensorShape ()
 Shape of the tensor.
soyut TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 Shape of the tensor.
soyut int
getUint32Val (int dizini)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
soyut int
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
özet Listesi<Tamsayı>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
soyut uzun
getUint64Val (int dizini)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
soyut int
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Özet Listesi<Uzun>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
özet VariantTensorDataProto
getVariantVal (int dizini)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
soyut int
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
özet Listesi< VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
özet VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (int dizini)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Özet Liste<? VariantTensorDataProtoOrBuilder'ı genişletiyor >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
soyut int
getVersionNumber ()
 Version number.
soyut boole
hasTensorShape ()
 Shape of the tensor.

Genel Yöntemler

genel soyut boolean getBoolVal (int dizini) 

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

genel özet int getBoolValCount () 

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

genel özet Listesi<Boolean> getBoolValList () 

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

genel soyut çift getDcomplexVal (int indeksi) 

 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];

genel özet 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];

genel özet Listesi<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];

genel soyut çift getDoubleVal (int dizini) 

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

genel özet int getDoubleValCount () 

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

genel özet Listesi<Double> getDoubleValList () 

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

genel özet DataType getDtype ()

.tensorflow.DataType dtype = 1;

genel soyut int getDtypeValue ()

.tensorflow.DataType dtype = 1;

genel soyut kayan nokta getFloatVal (int dizini) 

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

genel özet int getFloatValCount () 

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

genel özet Listesi<Float> getFloatValList () 

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

genel özet int getHalfVal (int dizini) 

 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];

genel özet 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];

genel özet Listesi<Tamsayı> 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];

genel özet uzun getInt64Val (int dizini) 

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

genel özet int getInt64ValCount () 

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

genel özet Listesi<Long> getInt64ValList () 

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

genel özet int getIntVal (int dizini) 

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

genel özet int getIntValCount () 

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

genel özet Listesi<Tamsayı> getIntValList () 

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

genel özet ResourceHandleProto getResourceHandleVal (int dizini) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

genel özet int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

genel özet Listesi< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

genel özet ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (int dizini) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

genel özet listesi<? ResourceHandleProtoOrBuilder'ı genişletir > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

genel soyut kayan nokta getScomplexVal (int indeksi) 

 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];

genel soyut 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];

genel özet Listesi<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];

genel özet com.google.protobuf.ByteString getStringVal (int dizini) 

 DT_STRING
repeated bytes string_val = 8;

genel soyut int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

genel özet Listesi<ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

genel özet 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;

genel özet TensorShapeProto getTensorShape () 

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

genel özet TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

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

genel özet int getUint32Val (int dizini) 

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

genel özet int getUint32ValCount () 

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

genel özet Listesi<Tamsayı> getUint32ValList () 

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

genel özet uzun getUint64Val (int dizini) 

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

genel özet int getUint64ValCount () 

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

genel özet Listesi<Uzun> getUint64ValList () 

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

genel özet VariantTensorDataProto getVariantVal (int dizini) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel özet int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel özet Listesi< VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel özet VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int dizini) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel özet listesi<? VariantTensorDataProtoOrBuilder'ı genişletir > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

genel özet 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;

genel soyut boolean hasTensorShape () 

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