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];
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;