TensorProtoOrBuilder

interfejs publiczny TensorProtoOrBuilder
Znane podklasy pośrednie

Metody publiczne

abstrakcyjna wartość logiczna
getBoolVal (indeks int)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
streszczenie wew
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
streszczenie Lista<Boolean>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
abstrakcyjny dublet
getDcomplexVal (indeks int)
 DT_COMPLEX128.
streszczenie wew
getDcomplexValCount ()
 DT_COMPLEX128.
streszczenie Lista<Double>
getDcomplexValList ()
 DT_COMPLEX128.
abstrakcyjny dublet
getDoubleVal (indeks int)
 DT_DOUBLE.
streszczenie wew
getDoubleValCount ()
 DT_DOUBLE.
streszczenie Lista<Double>
getDoubleValList ()
 DT_DOUBLE.
abstrakcyjny typ danych
getDtype ()
.tensorflow.DataType dtype = 1;
streszczenie wew
getDtypeValue ()
.tensorflow.DataType dtype = 1;
abstrakcyjny pływak
getFloatVal (indeks int)
 DT_FLOAT.
streszczenie wew
getFloatValCount ()
 DT_FLOAT.
streszczenie Lista<Float>
getFloatValList ()
 DT_FLOAT.
streszczenie wew
getHalfVal (indeks int)
 DT_HALF, DT_BFLOAT16.
streszczenie wew
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
streszczenie Lista<Integer>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
abstrakcyjne, długie
getInt64Val (indeks int)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
streszczenie wew
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
streszczenie Lista<Długa>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
streszczenie wew
getIntVal (indeks int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
streszczenie wew
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
streszczenie Lista<Integer>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
streszczenie ResourceHandleProto
getResourceHandleVal (indeks int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
streszczenie wew
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
lista abstrakcyjna< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
streszczenie ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (indeks int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
lista abstrakcyjna<? rozszerza ResourceHandleProtoOrBuilder >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
abstrakcyjny pływak
getScomplexVal (indeks int)
 DT_COMPLEX64.
streszczenie wew
getScomplexValCount ()
 DT_COMPLEX64.
streszczenie Lista<Float>
getScomplexValList ()
 DT_COMPLEX64.
streszczenie com.google.protobuf.ByteString
getStringVal (indeks int)
 DT_STRING
repeated bytes string_val = 8;
streszczenie wew
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
lista abstrakcyjna<ByteString>
getStringValList ()
 DT_STRING
repeated bytes string_val = 8;
streszczenie com.google.protobuf.ByteString
pobierzTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
abstrakcyjny TensorShapeProto
pobierzTensorShape ()
 Shape of the tensor.
abstrakcyjny TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 Shape of the tensor.
streszczenie wew
getUint32Val (indeks int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
streszczenie wew
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
streszczenie Lista<Integer>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
abstrakcyjne, długie
getUint64Val (indeks int)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
streszczenie wew
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
streszczenie Lista<Długa>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
streszczenie VariantTensorDataProto
getVariantVal (indeks int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
streszczenie wew
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
lista abstrakcyjna <VariantTensorDataProto>
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
streszczenie VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (indeks int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
lista abstrakcyjna<? rozszerza VariantTensorDataProtoOrBuilder >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
streszczenie wew
pobierz numer wersji ()
 Version number.
abstrakcyjna wartość logiczna
maTensorShape ()
 Shape of the tensor.

Metody publiczne

publiczna wartość logiczna abstrakcyjna getBoolVal (indeks int) 

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

publiczne streszczenie int getBoolValCount () 

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

publiczna lista abstrakcyjna<Boolean> getBoolValList () 

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

publiczne streszczenie podwójne 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];

publiczne streszczenie 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];

publiczna lista abstrakcyjna<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];

publiczne streszczenie podwójne getDoubleVal (indeks int) 

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

publiczne streszczenie int getDoubleValCount () 

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

publiczna lista abstrakcyjna<Double> getDoubleValList () 

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

publiczny abstrakcyjny typ danych getDtype ()

.tensorflow.DataType dtype = 1;

publiczne streszczenie int getDtypeValue ()

.tensorflow.DataType dtype = 1;

publiczna abstrakcja float getFloatVal (indeks int) 

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

publiczne streszczenie int getFloatValCount () 

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

publiczna abstrakcja List<Float> getFloatValList () 

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

publiczne streszczenie 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];

publiczne streszczenie 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];

publiczna lista abstrakcyjna<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];

publiczne streszczenie długie getInt64Val (indeks int) 

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

publiczne streszczenie int getInt64ValCount () 

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

publiczna lista abstrakcyjna<Long> getInt64ValList () 

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

publiczne streszczenie int getIntVal (indeks int) 

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

publiczne streszczenie int getIntValCount () 

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

publiczna lista abstrakcyjna<Integer> getIntValList () 

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

public streszczenie ResourceHandleProto getResourceHandleVal (indeks int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

publiczne streszczenie int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

publiczna lista abstrakcyjna< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

publiczne streszczenie ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (indeks int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

publiczna lista abstrakcyjna<? rozszerza ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

publiczna abstrakcja 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];

publiczne streszczenie 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];

publiczna lista abstrakcyjna<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];

publiczna abstrakcja com.google.protobuf.ByteString getStringVal (indeks int) 

 DT_STRING
repeated bytes string_val = 8;

publiczne streszczenie int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

publiczna lista abstrakcyjna<ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

publiczne streszczenie 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;

publiczne streszczenie TensorShapeProto getTensorShape () 

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

publiczne streszczenie TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

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

publiczne streszczenie int getUint32Val (indeks int) 

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

publiczne streszczenie int getUint32ValCount () 

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

publiczna lista abstrakcyjna<Integer> getUint32ValList () 

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

publiczna abstrakcja długa getUint64Val (indeks int) 

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

publiczne streszczenie int getUint64ValCount () 

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

publiczna lista abstrakcyjna<Long> getUint64ValList () 

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

publiczne streszczenie VariantTensorDataProto getVariantVal (indeks int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

publiczne streszczenie int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

publiczna lista abstrakcyjna< VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

publiczne streszczenie VariantTensorDataProtoOrBuilder getVariantValOrBuilder (indeks int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

publiczna lista abstrakcyjna<? rozszerza VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

publiczne streszczenie 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 abstrakcyjna hasTensorShape () 

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