TensorProtoOrBuilder

パブリック インターフェイスTensorProtoOrBuilder
既知の間接サブクラス

パブリックメソッド

抽象ブール値
getBoolVal (int インデックス)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
抽象整数
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
抽象リスト<Boolean>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
抽象的なダブル
getDcomplexVal (int インデックス)
 DT_COMPLEX128.
抽象整数
getDcomplexValCount ()
 DT_COMPLEX128.
抽象リスト<Double>
getDcomplexValList ()
 DT_COMPLEX128.
抽象的なダブル
getDoubleVal (int インデックス)
 DT_DOUBLE.
抽象整数
getDoubleValCount ()
 DT_DOUBLE.
抽象リスト<Double>
getDoubleValList ()
 DT_DOUBLE.
抽象データ型
getDtype ()
.tensorflow.DataType dtype = 1;
抽象整数
getDtypeValue ()
.tensorflow.DataType dtype = 1;
抽象的なフロート
getFloatVal (int インデックス)
 DT_FLOAT.
抽象整数
getFloatValCount ()
 DT_FLOAT.
抽象リスト<Float>
getFloatValList ()
 DT_FLOAT.
抽象整数
getHalfVal (int インデックス)
 DT_HALF, DT_BFLOAT16.
抽象整数
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
抽象リスト<整数>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
抽象的な長い
getInt64Val (int インデックス)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
抽象整数
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
抽象リスト<Long>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
抽象整数
getIntVal (int インデックス)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
抽象整数
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
抽象リスト<整数>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
抽象リソースハンドルプロト
getResourceHandleVal (int インデックス)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
抽象整数
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
抽象リスト< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
抽象ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (int インデックス)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
抽象リスト<? ResourceHandleProtoOrBuilderを拡張 >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
抽象的なフロート
getScomplexVal (int インデックス)
 DT_COMPLEX64.
抽象整数
getScomplexValCount ()
 DT_COMPLEX64.
抽象リスト<Float>
getScomplexValList ()
 DT_COMPLEX64.
抽象的な com.google.protobuf.ByteString
getStringVal (int インデックス)
 DT_STRING
repeated bytes string_val = 8;
抽象整数
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
抽象リスト<ByteString>
getStringValList ()
 DT_STRING
repeated bytes string_val = 8;
抽象的な com.google.protobuf.ByteString
getTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
抽象TensorShapeProto
getTensorShape ()
 Shape of the tensor.
抽象TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 Shape of the tensor.
抽象整数
getUint32Val (int インデックス)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
抽象整数
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
抽象リスト<整数>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
抽象的な長い
getUint64Val (int インデックス)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
抽象整数
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
抽象リスト<Long>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
抽象VariantTensorDataProto
getVariantVal (int インデックス)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
抽象整数
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
抽象 List< VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
抽象VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (int インデックス)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
抽象リスト<? VariantTensorDataProtoOrBuilderを拡張 >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
抽象整数
getVersionNumber ()
 Version number.
抽象ブール値
hasTensorShape ()
 Shape of the tensor.

パブリックメソッド

パブリック抽象ブール値getBoolVal (int インデックス) 

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

public abstract int getBoolValCount () 

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

public abstract List<Boolean> getBoolValList () 

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

public abstract double getDcomplexVal (int インデックス) 

 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 abstract 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];

パブリック抽象 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];

パブリック抽象ダブルgetDoubleVal (int インデックス) 

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

public abstract int getDoubleValCount () 

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

パブリック抽象 List<Double> getDoubleValList () 

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

public abstract DataType getDtype ()

.tensorflow.DataType dtype = 1;

パブリック抽象 int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public abstract float getFloatVal (int インデックス) 

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

public abstract int getFloatValCount () 

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

public abstract List<Float> getFloatValList () 

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

public abstract int getHalfVal (int インデックス) 

 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 abstract 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 abstract 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 abstract long getInt64Val (int インデックス) 

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

public abstract int getInt64ValCount () 

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

パブリック抽象 List<Long> getInt64ValList () 

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

public abstract int getIntVal (int インデックス) 

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

public abstract 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];

public abstract ResourceHandleProto getResourceHandleVal (int インデックス) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public abstract int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public abstract List< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

パブリック抽象ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (int インデックス) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

公開抄録リスト<? extends ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public abstract float getScomplexVal (int インデックス) 

 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 abstract 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 abstract 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];

パブリック抽象 com.google.protobuf.ByteString getStringVal (int インデックス) 

 DT_STRING
repeated bytes string_val = 8;

public abstract int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

public abstract List<ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

パブリック抽象 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;

パブリック抽象TensorShapeProto getTensorShape () 

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

パブリック抽象TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

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

public abstract int getUint32Val (int インデックス) 

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

public abstract int getUint32ValCount () 

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

public abstract List<Integer> getUint32ValList () 

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

public abstract long getUint64Val (int インデックス) 

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

public abstract int getUint64ValCount () 

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

パブリック抽象 List<Long> getUint64ValList () 

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

public abstract VariantTensorDataProto getVariantVal (int インデックス) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public abstract int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public abstract List< VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

パブリック抽象VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int インデックス) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

公開抄録リスト<? extends VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public abstract 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;

public abstract boolean hasTensorShape () 

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