TensorProto.Builder kelas akhir statis publik
Protocol buffer representing a tensor.Protobuf tipe
tensorflow.TensorProto
Metode Publik
TensorProto.Builder | addAllBoolVal (Nilai Iterable<? extends Boolean>) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
TensorProto.Builder | addAllDcomplexVal (Nilai Iterable<? extends Double>) DT_COMPLEX128. |
TensorProto.Builder | addAllDoubleVal (Nilai Iterable<? extends Double>) DT_DOUBLE. |
TensorProto.Builder | addAllFloatVal (nilai Iterable<? extends Float>) DT_FLOAT. |
TensorProto.Builder | addAllHalfVal (Nilai Iterable<? extends Integer>) DT_HALF, DT_BFLOAT16. |
TensorProto.Builder | addAllInt64Val (nilai Iterable<? extends Long>) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
TensorProto.Builder | addAllIntVal (Nilai Iterable<? extends Integer>) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
TensorProto.Builder | addAllResourceHandleVal (Nilai Iterable<? extends ResourceHandleProto >) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | addAllScomplexVal (nilai Iterable<? extends Float>) DT_COMPLEX64. |
TensorProto.Builder | addAllStringVal (nilai Iterable<? extends ByteString>) DT_STRING repeated bytes string_val = 8; |
TensorProto.Builder | addAllUint32Val (nilai Iterable<? extends Integer>) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
TensorProto.Builder | addAllUint64Val (nilai Iterable<? extends Long>) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
TensorProto.Builder | addAllVariantVal (Nilai Iterable<? extends VariantTensorDataProto >) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | addBoolVal (nilai boolean) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
TensorProto.Builder | addDcomplexVal (nilai ganda) DT_COMPLEX128. |
TensorProto.Builder | addDoubleVal (nilai ganda) DT_DOUBLE. |
TensorProto.Builder | addFloatVal (nilai mengambang) DT_FLOAT. |
TensorProto.Builder | addHalfVal (nilai int) DT_HALF, DT_BFLOAT16. |
TensorProto.Builder | addInt64Val (nilai panjang) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
TensorProto.Builder | addIntVal (nilai int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
TensorProto.Builder | addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek) |
TensorProto.Builder | addResourceHandleVal (indeks int, ResourceHandleProto.Builder builderForValue) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | addResourceHandleVal (indeks int, nilai ResourceHandleProto ) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | addResourceHandleVal (nilai ResourceHandleProto ) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | addResourceHandleVal ( ResourceHandleProto.Pembuat pembangunForValue) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ResourceHandleProto.Builder | addResourceHandleValBuilder (indeks int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ResourceHandleProto.Builder | addResourceHandleValBuilder () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | addScomplexVal (nilai mengambang) DT_COMPLEX64. |
TensorProto.Builder | addStringVal (nilai com.google.protobuf.ByteString) DT_STRING repeated bytes string_val = 8; |
TensorProto.Builder | addUint32Val (nilai int) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
TensorProto.Builder | addUint64Val (nilai panjang) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
TensorProto.Builder | addVariantVal (nilai VariantTensorDataProto ) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | addVariantVal (indeks int, VariantTensorDataProto.Builder builderForValue) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | addVariantVal (indeks int, nilai VariantTensorDataProto ) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | addVariantVal ( VariantTensorDataProto.Pembuat pembangunForValue) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
VariantTensorDataProto.Builder | addVariantValBuilder (indeks int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
VariantTensorDataProto.Builder | tambahkanVariantValBuilder () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto | membangun () |
TensorProto | |
TensorProto.Builder | jernih () |
TensorProto.Builder | jelasBoolVal () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
TensorProto.Builder | jelasDcomplexVal () DT_COMPLEX128. |
TensorProto.Builder | jelasDoubleVal () DT_DOUBLE. |
TensorProto.Builder | hapusDtype () .tensorflow.DataType dtype = 1; |
TensorProto.Builder | clearField (bidang com.google.protobuf.Descriptors.FieldDescriptor) |
TensorProto.Builder | jelasFloatVal () DT_FLOAT. |
TensorProto.Builder | jelasHalfVal () DT_HALF, DT_BFLOAT16. |
TensorProto.Builder | jelasInt64Val () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
TensorProto.Builder | jelasIntVal () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
TensorProto.Builder | clearOneof (com.google.protobuf.Descriptors.OneofDescriptor salah satu) |
TensorProto.Builder | jelasResourceHandleVal () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | jelasScomplexVal () DT_COMPLEX64. |
TensorProto.Builder | hapusStringVal () DT_STRING repeated bytes string_val = 8; |
TensorProto.Builder | hapus Konten Tensor () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
TensorProto.Builder | jelasTensorBentuk () Shape of the tensor. |
TensorProto.Builder | hapusUint32Val () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
TensorProto.Builder | hapusUint64Val () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
TensorProto.Builder | hapusVariantVal () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | hapusVersionNumber () Version number. |
TensorProto.Builder | klon () |
boolean | getBoolVal (indeks int) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
ke dalam | dapatkanBoolValCount () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
Daftar<Boolean> | dapatkanBoolValList () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
dobel | getDcomplexVal (indeks int) DT_COMPLEX128. |
ke dalam | dapatkanDcomplexValCount () DT_COMPLEX128. |
Daftar<Ganda> | dapatkanDcomplexValList () DT_COMPLEX128. |
TensorProto | |
com.google.protobuf.Descriptors.Descriptor statis terakhir | |
com.google.protobuf.Descriptors.Descriptor | |
dobel | getDoubleVal (indeks int) DT_DOUBLE. |
ke dalam | dapatkanDoubleValCount () DT_DOUBLE. |
Daftar<Ganda> | dapatkanDoubleValList () DT_DOUBLE. |
Tipe data | dapatkan tipe D () .tensorflow.DataType dtype = 1; |
ke dalam | dapatkanDtypeValue () .tensorflow.DataType dtype = 1; |
mengambang | getFloatVal (indeks int) DT_FLOAT. |
ke dalam | dapatkanFloatValCount () DT_FLOAT. |
Daftar<Mengambang> | dapatkanFloatValList () DT_FLOAT. |
ke dalam | getHalfVal (indeks int) DT_HALF, DT_BFLOAT16. |
ke dalam | dapatkanHalfValCount () DT_HALF, DT_BFLOAT16. |
Daftar<Bilangan Bulat> | dapatkanHalfValList () DT_HALF, DT_BFLOAT16. |
panjang | getInt64Val (indeks int) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
ke dalam | dapatkanInt64ValCount () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
Daftar<Panjang> | dapatkanInt64ValList () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
ke dalam | getIntVal (indeks int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
ke dalam | dapatkanIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
Daftar<Bilangan Bulat> | dapatkanIntValList () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
ResourceHandleProto | getResourceHandleVal (indeks int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ResourceHandleProto.Builder | getResourceHandleValBuilder (indeks int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Daftar< ResourceHandleProto.Builder > | getResourceHandleValBuilderList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ke dalam | dapatkanResourceHandleValCount () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Daftar< ResourceHandleProto > | dapatkanResourceHandleValList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
ResourceHandleProtoOrBuilder | getResourceHandleValOrBuilder (indeks int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Daftar<? memperluas ResourceHandleProtoOrBuilder > | getResourceHandleValOrBuilderList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
mengambang | getScomplexVal (indeks int) DT_COMPLEX64. |
ke dalam | dapatkanScomplexValCount () DT_COMPLEX64. |
Daftar<Mengambang> | dapatkanScomplexValList () DT_COMPLEX64. |
com.google.protobuf.ByteString | getStringVal (indeks int) DT_STRING repeated bytes string_val = 8; |
ke dalam | dapatkanStringValCount () DT_STRING repeated bytes string_val = 8; |
Daftar<ByteString> | dapatkanStringValList () DT_STRING repeated bytes string_val = 8; |
com.google.protobuf.ByteString | dapatkanTensorContent () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
TensorBentukProto | dapatkanTensorBentuk () Shape of the tensor. |
TensorShapeProto.Builder | dapatkanTensorShapeBuilder () Shape of the tensor. |
TensorShapeProtoOrBuilder | dapatkanTensorShapeOrBuilder () Shape of the tensor. |
ke dalam | getUint32Val (indeks int) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
ke dalam | dapatkanUint32ValCount () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
Daftar<Bilangan Bulat> | dapatkanUint32ValList () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
panjang | getUint64Val (indeks int) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
ke dalam | dapatkanUint64ValCount () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
Daftar<Panjang> | dapatkanUint64ValList () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
VarianTensorDataProto | getVariantVal (indeks int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
VariantTensorDataProto.Builder | getVariantValBuilder (indeks int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Daftar< VariantTensorDataProto.Builder > | dapatkanVariantValBuilderList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
ke dalam | dapatkanVariantValCount () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Daftar< VariantTensorDataProto > | dapatkanVariantValList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
VariantTensorDataProtoOrBuilder | getVariantValOrBuilder (indeks int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Daftar<? memperluas VariantTensorDataProtoOrBuilder > | dapatkanVariantValOrBuilderList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
ke dalam | dapatkanVersionNumber () Version number. |
boolean | hasTensorShape () Shape of the tensor. |
boolean terakhir | |
TensorProto.Builder | mergeFrom (com.google.protobuf.Pesan lainnya) |
TensorProto.Builder | mergeFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto.Builder | |
TensorProto.Builder terakhir | mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
TensorProto.Builder | hapusResourceHandleVal (indeks int) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | hapusVariantVal (indeks int) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | setBoolVal (indeks int, nilai boolean) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
TensorProto.Builder | setDcomplexVal (indeks int, nilai ganda) DT_COMPLEX128. |
TensorProto.Builder | setDoubleVal (indeks int, nilai ganda) DT_DOUBLE. |
TensorProto.Builder | |
TensorProto.Builder | setDtypeValue (nilai int) .tensorflow.DataType dtype = 1; |
TensorProto.Builder | setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek) |
TensorProto.Builder | setFloatVal (indeks int, nilai float) DT_FLOAT. |
TensorProto.Builder | setHalfVal (indeks int, nilai int) DT_HALF, DT_BFLOAT16. |
TensorProto.Builder | setInt64Val (indeks int, nilai panjang) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
TensorProto.Builder | setIntVal (indeks int, nilai int) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
TensorProto.Builder | setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek) |
TensorProto.Builder | setResourceHandleVal (indeks int, ResourceHandleProto.Builder builderForValue) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | setResourceHandleVal (indeks int, nilai ResourceHandleProto ) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
TensorProto.Builder | setScomplexVal (indeks int, nilai float) DT_COMPLEX64. |
TensorProto.Builder | setStringVal (indeks int, nilai com.google.protobuf.ByteString) DT_STRING repeated bytes string_val = 8; |
TensorProto.Builder | setTensorContent (nilai com.google.protobuf.ByteString) Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
TensorProto.Builder | |
TensorProto.Builder | |
TensorProto.Builder | setUint32Val (indeks int, nilai int) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
TensorProto.Builder | setUint64Val (indeks int, nilai panjang) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
TensorProto.Builder terakhir | setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields) |
TensorProto.Builder | setVariantVal (indeks int, nilai VariantTensorDataProto ) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | setVariantVal (indeks int, VariantTensorDataProto.Builder builderForValue) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
TensorProto.Builder | setVersionNumber (nilai int) Version number. |
Metode Warisan
Metode Publik
public TensorProto.Builder addAllBoolVal (nilai Iterable<? extends Boolean>)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public TensorProto.Builder addAllDcomplexVal (nilai Iterable<? extends Double>)
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 TensorProto.Builder addAllDoubleVal (nilai Iterable<? extends Double>)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public TensorProto.Builder addAllFloatVal (nilai Iterable<? extends Float>)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
public TensorProto.Builder addAllHalfVal (nilai Iterable<? extends Integer>)
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 TensorProto.Builder addAllInt64Val (nilai Iterable<? extends Long>)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
public TensorProto.Builder addAllIntVal (nilai Iterable<? extends Integer>)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public TensorProto.Builder addAllResourceHandleVal (Nilai Iterable<? extends ResourceHandleProto >)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public TensorProto.Builder addAllScomplexVal (nilai Iterable<? extends Float>)
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 TensorProto.Builder addAllStringVal (nilai Iterable<? extends ByteString>)
DT_STRING
repeated bytes string_val = 8;
public TensorProto.Builder addAllUint32Val (nilai Iterable<? extends Integer>)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public TensorProto.Builder addAllUint64Val (nilai Iterable<? extends Long>)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public TensorProto.Builder addAllVariantVal (Nilai Iterable<? extends VariantTensorDataProto >)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder addBoolVal publik (nilai boolean)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
public TensorProto.Builder addDcomplexVal (nilai ganda)
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 TensorProto.Builder addDoubleVal (nilai ganda)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
TensorProto.Builder addFloatVal publik (nilai float)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
TensorProto.Builder publik addHalfVal (nilai 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];
public TensorProto.Builder addInt64Val (nilai panjang)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder addIntVal publik (nilai int)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public TensorProto.Builder addRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
TensorProto.Builder addResourceHandleVal publik (int indeks, ResourceHandleProto.Builder builderForValue)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder publik addResourceHandleVal (indeks int, nilai ResourceHandleProto )
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder publik addResourceHandleVal (nilai ResourceHandleProto )
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder addResourceHandleVal publik ( ResourceHandleProto.Builder builderForValue)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder publik addResourceHandleValBuilder (int indeks)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder publik addResourceHandleValBuilder ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder publik addScomplexVal (nilai float)
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];
TensorProto.Builder addStringVal publik (nilai com.google.protobuf.ByteString)
DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder addUint32Val publik (nilai int)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public TensorProto.Builder addUint64Val (nilai panjang)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder addVariantVal publik (nilai VariantTensorDataProto )
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder addVariantVal publik (indeks int, VariantTensorDataProto.Builder builderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder addVariantVal publik (indeks int, nilai VariantTensorDataProto )
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder addVariantVal publik ( VariantTensorDataProto.Builder builderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder publik addVariantValBuilder (int indeks)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder publik addVariantValBuilder ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder publik clearDcomplexVal ()
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];
TensorProto.Builder publik clearDoubleVal ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
TensorProto.Builder publik clearHalfVal ()
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];
TensorProto.Builder publik clearIntVal ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
TensorProto.Builder publik clearResourceHandleVal ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder publik clearScomplexVal ()
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];
TensorProto.Builder publik clearTensorContent ()
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;
TensorProto.Builder publik clearTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
TensorProto.Builder publik clearUint32Val ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder publik clearUint64Val ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder publik clearVariantVal ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder publik clearVersionNumber ()
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;
getBoolVal boolean publik (indeks int)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
int publik getBoolValCount ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
Daftar publik<Boolean> getBoolValList ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
getDcomplexVal ganda publik (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];
int publik 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];
Daftar publik<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 ()
com.google.protobuf.Descriptors.Descriptor publik getDescriptorForType ()
getDoubleVal ganda publik (indeks int)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
int publik getDoubleValCount ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
Daftar publik<Double> getDoubleValList ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
int publik getDtypeValue ()
.tensorflow.DataType dtype = 1;
getFloatVal float publik (indeks int)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
int publik getFloatValCount ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
Daftar publik<Float> getFloatValList ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
publik 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];
int publik 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];
Daftar publik<Bilangan Bulat> 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];
getInt64Val panjang publik (indeks int)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
int publik getInt64ValCount ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
Daftar publik<Panjang> getInt64ValList ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
publik int getIntVal (indeks int)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
int publik getIntValCount ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
Daftar publik<Bilangan Bulat> getIntValList ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
ResourceHandleProto publik getResourceHandleVal (int indeks)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder publik getResourceHandleValBuilder (int indeks)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Daftar publik< ResourceHandleProto.Builder > getResourceHandleValBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
int publik getResourceHandleValCount ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Daftar publik< ResourceHandleProto > getResourceHandleValList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProtoOrBuilder publik getResourceHandleValOrBuilder (int indeks)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
Daftar Publik<? memperluas ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
public 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];
int publik 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];
Daftar publik<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];
com.google.protobuf.ByteString getStringVal publik (indeks int)
DT_STRING
repeated bytes string_val = 8;
int publik getStringValCount ()
DT_STRING
repeated bytes string_val = 8;
Daftar publik<ByteString> getStringValList ()
DT_STRING
repeated bytes string_val = 8;
com.google.protobuf.ByteString publik 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;
TensorShapeProto publik untuk mendapatkanTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
TensorShapeProto.Builder publik getTensorShapeBuilder ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
TensorShapeProtoOrBuilder publik getTensorShapeOrBuilder ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
publik int getUint32Val (indeks int)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
int publik getUint32ValCount ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
Daftar publik<Bilangan Bulat> getUint32ValList ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
getUint64Val panjang publik (indeks int)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
publik int getUint64ValCount ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
Daftar publik<Panjang> getUint64ValList ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
VariantTensorDataProto getVariantVal publik (indeks int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder publik getVariantValBuilder (indeks int)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
daftar publik< VariantTensorDataProto.Builder > getVariantValBuilderList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int publik getVariantValCount ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Daftar publik< VariantTensorDataProto > getVariantValList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder publik getVariantValOrBuilder (int indeks)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
Daftar Publik<? memperluas VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int publik 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;
boolean publik hasTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
boolean akhir publik diinisialisasi ()
TensorProto.Builder mergeFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
Pengecualian IO |
---|
TensorProto.Builder mergeTensorShape publik (nilai TensorShapeProto )
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
TensorProto.Builder final publik menggabungkanUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
TensorProto.Builder publik deleteResourceHandleVal (int indeks)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder publik menghapusVariantVal (int indeks)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder setBoolVal publik (indeks int, nilai boolean)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder setDcomplexVal publik (indeks int, nilai ganda)
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];
TensorProto.Builder setDoubleVal publik (indeks int, nilai ganda)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
public TensorProto.Builder setField (bidang com.google.protobuf.Descriptors.FieldDescriptor, Nilai objek)
TensorProto.Builder setFloatVal publik (indeks int, nilai float)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
TensorProto.Builder setHalfVal publik (indeks int, nilai 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];
public TensorProto.Builder setInt64Val (indeks int, nilai panjang)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder publik setIntVal (indeks int, nilai int)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
public TensorProto.Builder setRepeatedField (bidang com.google.protobuf.Descriptors.FieldDescriptor, indeks int, Nilai objek)
TensorProto.Builder setResourceHandleVal publik (indeks int, ResourceHandleProto.Builder builderForValue)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder publik setResourceHandleVal (indeks int, nilai ResourceHandleProto )
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder setScomplexVal publik (indeks int, nilai float)
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];
TensorProto.Builder setStringVal publik (indeks int, nilai com.google.protobuf.ByteString)
DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder setTensorContent publik (nilai com.google.protobuf.ByteString)
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;
TensorProto.Builder setTensorShape publik (nilai TensorShapeProto )
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
TensorProto.Builder setTensorShape publik ( TensorShapeProto.Builder builderForValue)
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
TensorProto.Builder publik setUint32Val (indeks int, nilai int)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
public TensorProto.Builder setUint64Val (indeks int, nilai panjang)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
public final TensorProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)
TensorProto.Builder setVariantVal publik (indeks int, nilai VariantTensorDataProto )
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder setVariantVal publik (indeks int, VariantTensorDataProto.Builder builderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder setVersionNumber publik (nilai int)
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;