genel arayüz TensorProtoOrBuilder
Bilinen Dolaylı Alt Sınıflar |
Genel Yöntemler
soyut boole | getBoolVal (int dizini) DT_BOOL repeated bool bool_val = 11 [packed = true]; |
soyut int | getBoolValCount () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
özet Listesi<Boolean> | getBoolValList () DT_BOOL repeated bool bool_val = 11 [packed = true]; |
soyut çift | getDcomplexVal (int dizini) DT_COMPLEX128. |
soyut int | getDcomplexValCount () DT_COMPLEX128. |
özet Listesi<Çift> | getDcomplexValList () DT_COMPLEX128. |
soyut çift | getDoubleVal (int dizini) DT_DOUBLE. |
soyut int | getDoubleValCount () DT_DOUBLE. |
özet Listesi<Çift> | getDoubleValList () DT_DOUBLE. |
özet Veri Türü | getDtype () .tensorflow.DataType dtype = 1; |
soyut int | getDtypeValue () .tensorflow.DataType dtype = 1; |
soyut kayan nokta | getFloatVal (int dizini) DT_FLOAT. |
soyut int | getFloatValCount () DT_FLOAT. |
özet Listesi<Float> | getFloatValList () DT_FLOAT. |
soyut int | getHalfVal (int dizini) DT_HALF, DT_BFLOAT16. |
soyut int | getHalfValCount () DT_HALF, DT_BFLOAT16. |
özet Listesi<Tamsayı> | getHalfValList () DT_HALF, DT_BFLOAT16. |
soyut uzun | getInt64Val (int dizini) DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
soyut int | getInt64ValCount () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
Özet Listesi<Uzun> | getInt64ValList () DT_INT64 repeated int64 int64_val = 10 [packed = true]; |
soyut int | getIntVal (int dizini) DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
soyut int | getIntValCount () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
özet Listesi<Tamsayı> | getIntValList () DT_INT32, DT_INT16, DT_INT8, DT_UINT8. |
özet KaynakHandleProto | getResourceHandleVal (int dizini) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
soyut int | getResourceHandleValCount () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
özet Listesi< ResourceHandleProto > | getResourceHandleValList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
özet ResourceHandleProtoOrBuilder | getResourceHandleValOrBuilder (int dizini) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
Özet Liste<? ResourceHandleProtoOrBuilder'ı genişletir > | getResourceHandleValOrBuilderList () DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14; |
soyut kayan nokta | getScomplexVal (int dizini) DT_COMPLEX64. |
soyut int | getScomplexValCount () DT_COMPLEX64. |
özet Listesi<Float> | getScomplexValList () DT_COMPLEX64. |
abstract com.google.protobuf.ByteString | getStringVal (int dizini) DT_STRING repeated bytes string_val = 8; |
soyut int | getStringValCount () DT_STRING repeated bytes string_val = 8; |
özet Listesi<ByteString> | getStringValList () DT_STRING repeated bytes string_val = 8; |
abstract com.google.protobuf.ByteString | getTensorContent () Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. |
soyut TensorShapeProto | getTensorShape () Shape of the tensor. |
soyut TensorShapeProtoOrBuilder | getTensorShapeOrBuilder () Shape of the tensor. |
soyut int | getUint32Val (int dizini) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
soyut int | getUint32ValCount () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
özet Listesi<Tamsayı> | getUint32ValList () DT_UINT32 repeated uint32 uint32_val = 16 [packed = true]; |
soyut uzun | getUint64Val (int dizini) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
soyut int | getUint64ValCount () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
Özet Listesi<Uzun> | getUint64ValList () DT_UINT64 repeated uint64 uint64_val = 17 [packed = true]; |
özet VariantTensorDataProto | getVariantVal (int dizini) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
soyut int | getVariantValCount () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
özet Listesi< VariantTensorDataProto > | getVariantValList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
özet VariantTensorDataProtoOrBuilder | getVariantValOrBuilder (int dizini) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
Özet Liste<? VariantTensorDataProtoOrBuilder'ı genişletiyor > | getVariantValOrBuilderList () DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15; |
soyut int | getVersionNumber () Version number. |
soyut boole | hasTensorShape () Shape of the tensor. |
Genel Yöntemler
genel soyut boolean getBoolVal (int dizini)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
genel özet int getBoolValCount ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
genel özet Listesi<Boolean> getBoolValList ()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
genel soyut çift getDcomplexVal (int indeksi)
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];
genel özet 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];
genel özet Listesi<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];
genel soyut çift getDoubleVal (int dizini)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
genel özet int getDoubleValCount ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
genel özet Listesi<Double> getDoubleValList ()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
genel soyut int getDtypeValue ()
.tensorflow.DataType dtype = 1;
genel soyut kayan nokta getFloatVal (int dizini)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
genel özet int getFloatValCount ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
genel özet Listesi<Float> getFloatValList ()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
genel özet int getHalfVal (int dizini)
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];
genel özet 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];
genel özet Listesi<Tamsayı> 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];
genel özet uzun getInt64Val (int dizini)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
genel özet int getInt64ValCount ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
genel özet Listesi<Long> getInt64ValList ()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
genel özet int getIntVal (int dizini)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
genel özet int getIntValCount ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
genel özet Listesi<Tamsayı> getIntValList ()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
genel özet ResourceHandleProto getResourceHandleVal (int dizini)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
genel özet int getResourceHandleValCount ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
genel özet Listesi< ResourceHandleProto > getResourceHandleValList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
genel özet ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (int dizini)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
genel özet listesi<? ResourceHandleProtoOrBuilder'ı genişletir > getResourceHandleValOrBuilderList ()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
genel soyut kayan nokta getScomplexVal (int indeksi)
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];
genel soyut 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];
genel özet Listesi<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];
genel özet com.google.protobuf.ByteString getStringVal (int dizini)
DT_STRING
repeated bytes string_val = 8;
genel soyut int getStringValCount ()
DT_STRING
repeated bytes string_val = 8;
genel özet Listesi<ByteString> getStringValList ()
DT_STRING
repeated bytes string_val = 8;
genel özet 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;
genel özet TensorShapeProto getTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
genel özet TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
genel özet int getUint32Val (int dizini)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
genel özet int getUint32ValCount ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
genel özet Listesi<Tamsayı> getUint32ValList ()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
genel özet uzun getUint64Val (int dizini)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
genel özet int getUint64ValCount ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
genel özet Listesi<Uzun> getUint64ValList ()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
genel özet VariantTensorDataProto getVariantVal (int dizini)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel özet int getVariantValCount ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel özet Listesi< VariantTensorDataProto > getVariantValList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel özet VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int dizini)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel özet listesi<? VariantTensorDataProtoOrBuilder'ı genişletir > getVariantValOrBuilderList ()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
genel özet 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;
genel soyut boolean hasTensorShape ()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;