TensorProto kelas akhir publik
Protocol buffer representing a tensor.Protobuf tipe
tensorflow.TensorProto
Kelas Bersarang
kelas | TensorProto.Builder | Protocol buffer representing a tensor. |
Konstanta
ke dalam | BOOL_VAL_FIELD_NUMBER | |
ke dalam | DCOMPLEX_VAL_FIELD_NUMBER | |
ke dalam | DOUBLE_VAL_FIELD_NUMBER | |
ke dalam | DTYPE_FIELD_NUMBER | |
ke dalam | FLOAT_VAL_FIELD_NUMBER | |
ke dalam | SETENGAH_VAL_FIELD_NUMBER | |
ke dalam | INT64_VAL_FIELD_NUMBER | |
ke dalam | INT_VAL_FIELD_NUMBER | |
ke dalam | RESOURCE_HANDLE_VAL_FIELD_NUMBER | |
ke dalam | SCOMPLEX_VAL_FIELD_NUMBER | |
ke dalam | STRING_VAL_FIELD_NUMBER | |
ke dalam | TENSOR_CONTENT_FIELD_NUMBER | |
ke dalam | TENSOR_SHAPE_FIELD_NUMBER | |
ke dalam | UINT32_VAL_FIELD_NUMBER | |
ke dalam | UINT64_VAL_FIELD_NUMBER | |
ke dalam | VARIANT_VAL_FIELD_NUMBER | |
ke dalam | VERSION_NUMBER_FIELD_NUMBER |
Metode Publik
boolean | sama dengan (Objek objek) |
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 statis | |
TensorProto | |
com.google.protobuf.Descriptors.Descriptor statis terakhir | |
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; |
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. |
ke dalam | |
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. |
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]; |
final com.google.protobuf.UnknownFieldSet | |
VarianTensorDataProto | getVariantVal (indeks int) 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. |
ke dalam | Kode hash () |
boolean terakhir | |
TensorProto.Builder statis | |
TensorProto.Builder statis | newBuilder (prototipe TensorProto ) |
TensorProto.Builder | |
TensorProto statis | parseDelimitedFrom (masukan Aliran Masukan) |
TensorProto statis | parseDelimitedFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto statis | parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto statis | parseFrom (com.google.protobuf.CodedInputStream masukan) |
TensorProto statis | parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto statis | parseFrom (data ByteBuffer) |
TensorProto statis | parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto statis | parseFrom (com.google.protobuf.ByteString data) |
TensorProto statis | parseFrom (masukan InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorProto statis | parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
statis | pengurai () |
TensorProto.Builder | |
ruang kosong | writeTo (com.google.protobuf.CodedOutputStream keluaran) |
Metode Warisan
Konstanta
int akhir statis publik BOOL_VAL_FIELD_NUMBER
Nilai Konstan: 11
int final statis publik DCOMPLEX_VAL_FIELD_NUMBER
Nilai Konstan: 12
int final statis publik DOUBLE_VAL_FIELD_NUMBER
Nilai Konstan: 6
int akhir statis publik DTYPE_FIELD_NUMBER
Nilai Konstan: 1
int final statis publik FLOAT_VAL_FIELD_NUMBER
Nilai Konstan: 5
int final statis publik HALF_VAL_FIELD_NUMBER
Nilai Konstan: 13
int final statis publik INT64_VAL_FIELD_NUMBER
Nilai Konstan: 10
int akhir statis publik INT_VAL_FIELD_NUMBER
Nilai Konstan: 7
int akhir statis publik RESOURCE_HANDLE_VAL_FIELD_NUMBER
Nilai Konstan: 14
int akhir statis publik SCOMPLEX_VAL_FIELD_NUMBER
Nilai Konstan: 9
int akhir statis publik STRING_VAL_FIELD_NUMBER
Nilai Konstan: 8
int akhir statis publik TENSOR_CONTENT_FIELD_NUMBER
Nilai Konstan: 4
int akhir statis publik TENSOR_SHAPE_FIELD_NUMBER
Nilai Konstan: 2
int final statis publik UINT32_VAL_FIELD_NUMBER
Nilai Konstan: 16
int final statis publik UINT64_VAL_FIELD_NUMBER
Nilai Konstan: 17
int final statis publik VARIANT_VAL_FIELD_NUMBER
Nilai Konstan: 15
int akhir statis publik VERSION_NUMBER_FIELD_NUMBER
Nilai Konstan: 3
Metode Publik
boolean publik sama (Obj objek)
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 ()
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];
publik dapatkanParserForType ()
ResourceHandleProto publik getResourceHandleVal (int indeks)
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];
publik int getSerializedSize ()
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;
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];
public final com.google.protobuf.UnknownFieldSet getUnknownFields ()
VariantTensorDataProto getVariantVal publik (indeks int)
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;
kode hash int publik ()
boolean akhir publik diinisialisasi ()
TensorProto statis publik parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
Pengecualian IO |
---|
TensorProto statis publik parseFrom (data ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
InvalidProtocolBufferException |
---|
TensorProto statis publik parseFrom (com.google.protobuf.CodedInputStream input)
Melempar
Pengecualian IO |
---|
TensorProto statis publik parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
InvalidProtocolBufferException |
---|
TensorProto statis publik parseFrom (com.google.protobuf.CodedInputStream masukan, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
Pengecualian IO |
---|
TensorProto statis publik parseFrom (com.google.protobuf.ByteString data)
Melempar
InvalidProtocolBufferException |
---|
TensorProto statis publik parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
Pengecualian IO |
---|
TensorProto statis publik parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
Melempar
InvalidProtocolBufferException |
---|
statis publik pengurai ()
public void writeTo (com.google.protobuf.CodedOutputStream keluaran)
Melempar
Pengecualian IO |
---|