TensorProtoOrBuilder

interface pública TensorProtoOrBuilder
Subclasses indiretas conhecidas

Métodos Públicos

booleano abstrato
getBoolVal (índice interno)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
abstrato int
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
Lista abstrata<Boolean>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
duplo abstrato
getDcomplexVal (índice interno)
 DT_COMPLEX128.
abstrato int
getDcomplexValCount ()
 DT_COMPLEX128.
lista abstrata
getDcomplexValList ()
 DT_COMPLEX128.
duplo abstrato
getDoubleVal (índice interno)
 DT_DOUBLE.
abstrato int
getDoubleValCount ()
 DT_DOUBLE.
lista abstrata
getDoubleValList ()
 DT_DOUBLE.
tipo de dados abstrato
getDtype ()
.tensorflow.DataType dtype = 1;
abstrato int
getDtypeValue ()
.tensorflow.DataType dtype = 1;
flutuador abstrato
getFloatVal (índice interno)
 DT_FLOAT.
abstrato int
getFloatValCount ()
 DT_FLOAT.
Lista abstrata<Float>
getFloatValList ()
 DT_FLOAT.
abstrato int
getHalfVal (índice interno)
 DT_HALF, DT_BFLOAT16.
abstrato int
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
lista abstrata<inteiro>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
abstrato longo
getInt64Val (índice interno)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
abstrato int
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
lista abstrata<longa>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
abstrato int
getIntVal (índice interno)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
abstrato int
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
lista abstrata<inteiro>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
resumo ResourceHandleProto
getResourceHandleVal (índice interno)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
abstrato int
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Lista abstrata< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
resumo ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (índice interno)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
lista abstrata<? estende ResourceHandleProtoOrBuilder >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
flutuador abstrato
getScomplexVal (índice interno)
 DT_COMPLEX64.
abstrato int
getScomplexValCount ()
 DT_COMPLEX64.
Lista abstrata<Float>
getScomplexValList ()
 DT_COMPLEX64.
abstrato com.google.protobuf.ByteString
getStringVal (índice interno)
 DT_STRING
repeated bytes string_val = 8;
abstrato int
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
Lista abstrata<ByteString>
getStringValList ()
 DT_STRING
repeated bytes string_val = 8;
abstrato com.google.protobuf.ByteString
getTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
abstrato TensorShapeProto
obterTensorShape ()
 Shape of the tensor.
TensorShapeProtoOrBuilder abstrato
getTensorShapeOrBuilder ()
 Shape of the tensor.
abstrato int
getUint32Val (índice interno)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
abstrato int
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
lista abstrata<inteiro>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
abstrato longo
getUint64Val (índice interno)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
abstrato int
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
lista abstrata<longa>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
variante abstrataTensorDataProto
getVariantVal (índice interno)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
abstrato int
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Lista abstrata< VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
variante abstrataTensorDataProtoOrBuilder
getVariantValOrBuilder (índice interno)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
lista abstrata<? estende VariantTensorDataProtoOrBuilder >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
abstrato int
getVersionNumber ()
 Version number.
booleano abstrato
hasTensorShape ()
 Shape of the tensor.

Métodos Públicos

público abstrato booleano getBoolVal (índice int) 

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

público abstrato int getBoolValCount () 

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

lista abstrata pública<Boolean> getBoolValList () 

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

público abstrato duplo getDcomplexVal (índice 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];

resumo público 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 abstrata pública<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];

público abstrato duplo getDoubleVal (índice int) 

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

resumo público int getDoubleValCount () 

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

lista abstrata pública<Double> getDoubleValList () 

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

tipo de dados abstrato público getDtype ()

.tensorflow.DataType dtype = 1;

público abstrato int getDtypeValue ()

.tensorflow.DataType dtype = 1;

flutuador abstrato público getFloatVal (índice int) 

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

resumo público int getFloatValCount () 

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

lista abstrata pública<Float> getFloatValList () 

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

resumo público int getHalfVal (índice 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];

resumo público 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];

lista abstrata pública<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];

público abstrato longo getInt64Val (índice int) 

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

resumo público int getInt64ValCount () 

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

lista abstrata pública<Long> getInt64ValList () 

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

público abstrato int getIntVal (índice int) 

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

resumo público int getIntValCount () 

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

public abstract List<Integer> getIntValList () 

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

público abstrato ResourceHandleProto getResourceHandleVal (índice int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público abstrato int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Lista abstrata pública< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

público abstrato ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (índice int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

lista abstrata pública<? estende ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

flutuador abstrato público 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];

público abstrato 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 abstrata 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];

resumo público com.google.protobuf.ByteString getStringVal (índice int) 

 DT_STRING
repeated bytes string_val = 8;

público abstrato int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

lista abstrata pública<ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

resumo público 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;

público abstrato TensorShapeProto getTensorShape () 

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

público abstrato TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

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

resumo público int getUint32Val (índice int) 

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

resumo público int getUint32ValCount () 

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

lista abstrata pública<inteiro> getUint32ValList () 

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

público abstrato longo getUint64Val (índice int) 

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

resumo público int getUint64ValCount () 

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

lista abstrata pública<Long> getUint64ValList () 

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

resumo público VariantTensorDataProto getVariantVal (índice int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

resumo público int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

lista abstrata pública< VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

público abstrato VariantTensorDataProtoOrBuilder getVariantValOrBuilder (índice int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

lista abstrata pública<? estende VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

resumo público 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;

público abstrato booleano hasTensorShape () 

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