TensorProto.Builder

کلاس نهایی استاتیک عمومی TensorProto.Builder

 Protocol buffer representing a tensor.
نوع Protobuf tensorflow.TensorProto

روش های عمومی

TensorProto.Builder
addAllBoolVal (Iterable<? مقادیر Boolean> را گسترش می دهد)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addAllDcomplexVal (Iterable<? مقادیر Double> را گسترش می دهد)
 DT_COMPLEX128.
TensorProto.Builder
addAllDoubleVal (Iterable<? مقادیر Double> را گسترش می دهد)
 DT_DOUBLE.
TensorProto.Builder
addAllFloatVal (تکرارپذیر<? مقادیر Float> را گسترش می دهد)
 DT_FLOAT.
TensorProto.Builder
addAllHalfVal (Iterable<? مقادیر Integer را گسترش می دهد)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addAllInt64Val (تکرارپذیر<? مقادیر Long را گسترش می دهد)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addAllIntVal (Iterable<? مقادیر Integer را گسترش می دهد)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addAllResourceHandleVal (Iterable<? ResourceHandleProto > مقادیر را گسترش می دهد)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addAllScomplexVal (Iterable<? مقادیر Float> را گسترش می دهد)
 DT_COMPLEX64.
TensorProto.Builder
addAllStringVal (Iterable<? مقادیر ByteString> را گسترش می دهد)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addAllUint32Val (Iterable<? مقادیر Integer> را گسترش می دهد)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addAllUint64Val (تکرارپذیر<? مقادیر Long را گسترش می دهد)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addAllVariantVal (Iterable<? مقادیر VariantTensorDataProto > را گسترش می دهد)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addBoolVal (مقدار بولی)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addDcomplexVal (مقدار دو برابر)
 DT_COMPLEX128.
TensorProto.Builder
addDoubleVal (مقدار دوگانه)
 DT_DOUBLE.
TensorProto.Builder
addFloatVal (مقدار شناور)
 DT_FLOAT.
TensorProto.Builder
addHalfVal (مقدار int)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addInt64Val (مقدار طولانی)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addIntVal (مقدار int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)
TensorProto.Builder
addResourceHandleVal (int index، ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (شاخص int، مقدار ResourceHandleProto )
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (مقدار ResourceHandleProto )
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal ( ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
addResourceHandleValBuilder (شاخص 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 (مقدار شناور)
 DT_COMPLEX64.
TensorProto.Builder
addStringVal (com.google.protobuf.ByteString مقدار)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addUint32Val (مقدار int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addUint64Val (مقدار طولانی)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addVariantVal (مقدار VariantTensorDataProto )
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (int index، VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (شاخص int، مقدار VariantTensorDataProto )
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal ( VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
addVariantValBuilder (شاخص int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
addVariantValBuilder ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto
ساختن ()
TensorProto
ساخت جزئی ()
TensorProto.Builder
روشن ()
TensorProto.Builder
clearBoolVal ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
clearDcomplexVal ()
 DT_COMPLEX128.
TensorProto.Builder
clearDoubleVal ()
 DT_DOUBLE.
TensorProto.Builder
clearDtype ()
.tensorflow.DataType dtype = 1;
TensorProto.Builder
clearField (فیلد com.google.protobuf.Descriptors.FieldDescriptor)
TensorProto.Builder
clearFloatVal ()
 DT_FLOAT.
TensorProto.Builder
clearHalfVal ()
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
clearInt64Val ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
clearIntVal ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)
TensorProto.Builder
clearResourceHandleVal ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
clearScomplexVal ()
 DT_COMPLEX64.
TensorProto.Builder
clearStringVal ()
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
clearTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
clearTensorShape ()
 Shape of the tensor.
TensorProto.Builder
clearUint32Val ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
clearUint64Val ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
clearVariantVal ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
clearVersionNumber ()
 Version number.
TensorProto.Builder
شبیه ()
بولی
getBoolVal (شاخص int)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
بین المللی
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
فهرست <بولی>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
دو برابر
getDcomplexVal (شاخص int)
 DT_COMPLEX128.
بین المللی
getDcomplexValCount ()
 DT_COMPLEX128.
لیست<دوبل>
getDcomplexValList ()
 DT_COMPLEX128.
TensorProto
getDefaultInstanceForType ()
نهایی static com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
دو برابر
getDoubleVal (شاخص int)
 DT_DOUBLE.
بین المللی
getDoubleValCount ()
 DT_DOUBLE.
لیست<دوبل>
getDoubleValList ()
 DT_DOUBLE.
نوع داده
getDtype ()
.tensorflow.DataType dtype = 1;
بین المللی
getDtypeValue ()
.tensorflow.DataType dtype = 1;
شناور
getFloatVal (شاخص int)
 DT_FLOAT.
بین المللی
getFloatValCount ()
 DT_FLOAT.
فهرست <شناور>
getFloatValList ()
 DT_FLOAT.
بین المللی
getHalfVal (شاخص int)
 DT_HALF, DT_BFLOAT16.
بین المللی
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
لیست <عدد صحیح>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
طولانی
getInt64Val (شاخص int)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
بین المللی
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
فهرست <طولانی>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
بین المللی
getIntVal (شاخص int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
بین المللی
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
لیست <عدد صحیح>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
ResourceHandleProto
getResourceHandleVal (شاخص int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
getResourceHandleValBuilder (شاخص int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
List< ResourceHandleProto.Builder >
getResourceHandleValBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
بین المللی
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
فهرست < ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (شاخص int)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
لیست<? ResourceHandleProtoOrBuilder را گسترش می دهد >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
شناور
getScomplexVal (شاخص int)
 DT_COMPLEX64.
بین المللی
getScomplexValCount ()
 DT_COMPLEX64.
فهرست <شناور>
getScomplexValList ()
 DT_COMPLEX64.
com.google.protobuf.ByteString
getStringVal (شاخص int)
 DT_STRING
repeated bytes string_val = 8;
بین المللی
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
لیست <ByteString>
getStringValList ()
 DT_STRING
repeated bytes string_val = 8;
com.google.protobuf.ByteString
getTensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorShapeProto
getTensorShape ()
 Shape of the tensor.
TensorShapeProto.Builder
getTensorShapeBuilder ()
 Shape of the tensor.
TensorShapeProtoOrBuilder
getTensorShapeOrBuilder ()
 Shape of the tensor.
بین المللی
getUint32Val (شاخص int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
بین المللی
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
لیست <عدد صحیح>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
طولانی
getUint64Val (شاخص int)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
بین المللی
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
فهرست <طولانی>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
VariantTensorDataProto
getVariantVal (شاخص int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
getVariantValBuilder (شاخص int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
List< VariantTensorDataProto.Builder >
getVariantValBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
بین المللی
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
فهرست < VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (شاخص int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
لیست<? VariantTensorDataProtoOrBuilder > را گسترش می دهد
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
بین المللی
getVersionNumber ()
 Version number.
بولی
hasTensorShape ()
 Shape of the tensor.
بولی نهایی
اولیه شده است ()
TensorProto.Builder
mergeFrom (com.google.protobuf.Message other)
TensorProto.Builder
mergeFrom (ورودی com.google.protobuf.CodedInputStream، com.google.protobuf.ExtensionRegistryLite extensionRegistry)
TensorProto.Builder
mergeTensorShape (مقدار TensorShapeProto )
 Shape of the tensor.
نهایی TensorProto.Builder
mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
TensorProto.Builder
removeResourceHandleVal (int index)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
removeVariantVal (شاخص int)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setBoolVal (شاخص int، مقدار بولی)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
setDcomplexVal (شاخص int، مقدار دو برابر)
 DT_COMPLEX128.
TensorProto.Builder
setDoubleVal (شاخص int، مقدار دو برابر)
 DT_DOUBLE.
TensorProto.Builder
setDtype (مقدار DataType )
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setDtypeValue (مقدار int)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)
TensorProto.Builder
setFloatVal (شاخص int، مقدار شناور)
 DT_FLOAT.
TensorProto.Builder
setHalfVal (شاخص int، مقدار int)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
setInt64Val (شاخص int، مقدار طولانی)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
setIntVal (شاخص int، مقدار int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor، نمایه int، مقدار Object)
TensorProto.Builder
setResourceHandleVal (int index، ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setResourceHandleVal (شاخص int، مقدار ResourceHandleProto )
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setScomplexVal (شاخص int، مقدار شناور)
 DT_COMPLEX64.
TensorProto.Builder
setStringVal (int index، com.google.protobuf.ByteString مقدار)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
setTensorContent (مقدار com.google.protobuf.ByteString)
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
setTensorShape (مقدار TensorShapeProto )
 Shape of the tensor.
TensorProto.Builder
setTensorShape ( TensorShapeProto.Builder builderForValue)
 Shape of the tensor.
TensorProto.Builder
setUint32Val (شاخص int، مقدار int)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
setUint64Val (شاخص int، مقدار طولانی)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
نهایی TensorProto.Builder
setUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)
TensorProto.Builder
setVariantVal (شاخص int، مقدار VariantTensorDataProto )
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVariantVal (int index، VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVersionNumber (مقدار int)
 Version number.

روش های ارثی

روش های عمومی

عمومی TensorProto.Builder addAllBoolVal (Iterable<? مقادیر Boolean> را گسترش می دهد) 

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

عمومی TensorProto.Builder addAllDcomplexVal (Iterable<? مقادیر Double> را گسترش می دهد) 

 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];

عمومی TensorProto.Builder addAllDoubleVal (Iterable<? مقادیر Double> را گسترش می دهد) 

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

عمومی TensorProto.Builder addAllFloatVal (Iterable<? مقادیر Float> را گسترش می دهد) 

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

عمومی TensorProto.Builder addAllHalfVal (Iterable<? مقادیر Integer> را گسترش می دهد) 

 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];

عمومی TensorProto.Builder addAllInt64Val (تکرارپذیر<? گسترش مقادیر Long>) 

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

عمومی TensorProto.Builder addAllIntVal (Iterable<? مقادیر Integer> را گسترش می دهد) 

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

عمومی TensorProto.Builder addAllResourceHandleVal (Iterable<? ResourceHandleProto > مقادیر را گسترش می دهد) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی TensorProto.Builder addAllScomplexVal (Iterable<? مقادیر Float> را گسترش می دهد) 

 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];

عمومی TensorProto.Builder addAllStringVal (Iterable<? مقادیر ByteString> را گسترش می دهد) 

 DT_STRING
repeated bytes string_val = 8;

عمومی TensorProto.Builder addAllUint32Val (Iterable<? مقادیر Integer> را گسترش می دهد) 

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

عمومی TensorProto.Builder addAllUint64Val (تکرارپذیر<? گسترش مقادیر Long>) 

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

عمومی TensorProto.Builder addAllVariantVal (Iterable<? مقادیر VariantTensorDataProto > را گسترش می دهد) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی TensorProto.Builder addBoolVal (مقدار بولی) 

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

عمومی TensorProto.Builder addDcomplexVal (مقدار دوگانه) 

 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];

عمومی TensorProto.Builder addDoubleVal (مقدار دوگانه) 

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

عمومی TensorProto.Builder addFloatVal (مقدار شناور) 

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

عمومی TensorProto.Builder addHalfVal (int value) 

 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];

عمومی TensorProto.Builder addInt64Val (مقدار طولانی) 

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

عمومی TensorProto.Builder addIntVal (مقدار int) 

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

عمومی TensorProto.Builder addRepeatedField (فیلد com.google.protobuf.Descriptors.FieldDescriptor، مقدار Object)

عمومی TensorProto.Builder addResourceHandleVal (int index, ResourceHandleProto.Builder builderForValue) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی TensorProto.Builder addResourceHandleVal (شاخص int، مقدار ResourceHandleProto ) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی TensorProto.Builder addResourceHandleVal (مقدار ResourceHandleProto ) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی TensorProto.Builder addResourceHandleVal ( ResourceHandleProto.Builder builderForValue) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی ResourceHandleProto.Builder addResourceHandleValBuilder (int index) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی ResourceHandleProto.Builder addResourceHandleValBuilder () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی TensorProto.Builder addScomplexVal (مقدار شناور) 

 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];

عمومی TensorProto.Builder addStringVal (com.google.protobuf.ByteString مقدار) 

 DT_STRING
repeated bytes string_val = 8;

عمومی TensorProto.Builder addUint32Val (مقدار int) 

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

عمومی TensorProto.Builder addUint64Val (مقدار طولانی) 

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

عمومی TensorProto.Builder addVariantVal (مقدار VariantTensorDataProto ) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی TensorProto.Builder addVariantVal (int index، VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی TensorProto.Builder addVariantVal (شاخص int، مقدار VariantTensorDataProto ) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی TensorProto.Builder addVariantVal ( VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی VariantTensorDataProto.Builder addVariantValBuilder (int index) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی VariantTensorDataProto.Builder addVariantValBuilder () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

ساخت عمومی TensorProto ()

عمومی TensorProto buildPartial ()

عمومی TensorProto.Builder clear ()

عمومی TensorProto.Builder clearBoolVal () 

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

عمومی TensorProto.Builder 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];

عمومی TensorProto.Builder clearDoubleVal () 

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

عمومی TensorProto.Builder clearDtype ()

.tensorflow.DataType dtype = 1;

عمومی TensorProto.Builder clearField (فیلد com.google.protobuf.Descriptors.FieldDescriptor)

عمومی TensorProto.Builder clearFloatVal () 

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

عمومی TensorProto.Builder 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];

عمومی TensorProto.Builder clearInt64Val () 

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

عمومی TensorProto.Builder clearIntVal () 

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

عمومی TensorProto.Builder clearOneof (com.google.protobuf.Descriptors.OneofDescriptor oneof)

عمومی TensorProto.Builder clearResourceHandleVal () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی TensorProto.Builder 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];

عمومی TensorProto.Builder clearStringVal () 

 DT_STRING
repeated bytes string_val = 8;

عمومی TensorProto.Builder 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;

عمومی TensorProto.Builder clearTensorShape () 

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

عمومی TensorProto.Builder clearUint32Val () 

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

عمومی TensorProto.Builder clearUint64Val () 

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

عمومی TensorProto.Builder clearVariantVal () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی TensorProto.Builder 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;

کلون عمومی TensorProto.Builder ()

بولی عمومی getBoolVal (شاخص int) 

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

عمومی int getBoolValCount () 

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

فهرست عمومی <Boolean> getBoolValList () 

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

public double getDcomplexVal (int index) 

 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];

عمومی 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];

فهرست عمومی<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];

عمومی TensorProto getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

عمومی com.google.protobuf.Descriptors.Descriptor getDescriptorForType ()

عمومی دوبل getDoubleVal (شاخص int) 

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

عمومی int getDoubleValCount () 

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

فهرست عمومی<Double> getDoubleValList () 

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

نوع داده عمومی getDtype ()

.tensorflow.DataType dtype = 1;

عمومی int getDtypeValue ()

.tensorflow.DataType dtype = 1;

float عمومی getFloatVal (شاخص int) 

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

عمومی int getFloatValCount () 

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

فهرست عمومی<Float> getFloatValList () 

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

عمومی int getHalfVal (شاخص 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];

عمومی 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];

فهرست عمومی <صحیح> 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 long getInt64Val (شاخص int) 

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

عمومی int getInt64ValCount () 

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

فهرست عمومی<Long> getInt64ValList () 

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

عمومی int getIntVal (شاخص int) 

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

عمومی int getIntValCount () 

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

فهرست عمومی <Integer> getIntValList () 

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

عمومی ResourceHandleProto getResourceHandleVal (شاخص int) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی ResourceHandleProto.Builder getResourceHandleValBuilder (int index) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

لیست عمومی < ResourceHandleProto.Builder > getResourceHandleValBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

لیست عمومی< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (int index) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

لیست عمومی<? گسترش ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی float getScomplexVal (شاخص 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];

عمومی 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];

فهرست عمومی<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];

عمومی com.google.protobuf.ByteString getStringVal (int index) 

 DT_STRING
repeated bytes string_val = 8;

عمومی int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

لیست عمومی<ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

عمومی 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;

عمومی TensorShapeProto getTensorShape () 

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

عمومی TensorShapeProto.Builder getTensorShapeBuilder () 

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

عمومی TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

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

عمومی int getUint32Val (شاخص int) 

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

عمومی int getUint32ValCount () 

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

فهرست عمومی <Integer> getUint32ValList () 

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

عمومی طولانی getUint64Val (شاخص int) 

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

عمومی int getUint64ValCount () 

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

فهرست عمومی<Long> getUint64ValList () 

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

public VariantTensorDataProto getVariantVal (int index) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی VariantTensorDataProto.Builder getVariantValBuilder (int index) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

لیست عمومی < VariantTensorDataProto.Builder > getVariantValBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

لیست عمومی < VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی VariantTensorDataProtoOrBuilder getVariantValOrBuilder (شاخص int) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

لیست عمومی<? گسترش VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی 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;

بولی عمومی hasTensorShape () 

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

بولین نهایی عمومی isInitialized ()

عمومی TensorProto.Builder mergeFrom (com.google.protobuf.Message other)

عمومی TensorProto.Builder mergeFrom (com.google.protobuf.CodedInputStream ورودی، com.google.protobuf.ExtensionRegistryLite extensionRegistry)

پرتاب می کند
IOException

عمومی TensorProto.Builder mergeTensorShape (مقدار TensorShapeProto ) 

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

عمومی نهایی TensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetknownFields)

عمومی TensorProto.Builder removeResourceHandleVal (int index) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی TensorProto.Builder removeVariantVal (int index) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی TensorProto.Builder setBoolVal (شاخص int، مقدار بولی) 

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

عمومی TensorProto.Builder setDcomplexVal (شاخص int، مقدار دو برابر) 

 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];

عمومی TensorProto.Builder setDoubleVal (شاخص int، مقدار دو برابر) 

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

عمومی TensorProto.Builder setDtype (مقدار DataType )

.tensorflow.DataType dtype = 1;

عمومی TensorProto.Builder setDtypeValue (مقدار int)

.tensorflow.DataType dtype = 1;

public TensorProto.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor فیلد، مقدار Object)

عمومی TensorProto.Builder setFloatVal (شاخص int، مقدار شناور) 

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

عمومی TensorProto.Builder setHalfVal (شاخص int، مقدار 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];

عمومی TensorProto.Builder setInt64Val (شاخص int، مقدار طولانی) 

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

عمومی TensorProto.Builder setIntVal (شاخص int، مقدار int) 

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

public TensorProto.Builder setRepeatedField (فیلد com.google.protobuf.Descriptors.FieldDescriptor, int index, Object value)

عمومی TensorProto.Builder setResourceHandleVal (int index، ResourceHandleProto.Builder builderForValue) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی TensorProto.Builder setResourceHandleVal (شاخص int، مقدار ResourceHandleProto ) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

عمومی TensorProto.Builder setScomplexVal (شاخص int، مقدار شناور) 

 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];

عمومی TensorProto.Builder setStringVal (int index, com.google.protobuf.ByteString مقدار) 

 DT_STRING
repeated bytes string_val = 8;

عمومی TensorProto.Builder setTensorContent (مقدار 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;

عمومی TensorProto.Builder setTensorShape (مقدار TensorShapeProto ) 

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

TensorProto.Builder Settensorshape ( tensorshapeproto.builder BuilderForValue) 

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

عمومی tensorproto.builder setuint32val (شاخص int ، مقدار int) 

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

عمومی tensorproto.builder setuint64val (شاخص int ، مقدار طولانی) 

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

نهایی عمومی Tensorproto.Builder SetUnknownfields (com.google.protobuf.unknownfieldset Unknownfields)

عمومی tensorproto.builder setvariantval (شاخص int ، varianttensordataproto ) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی tensorproto.builder setvariantval (شاخص int ، varianttensordataproto.builder builderforvalue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

عمومی tensorproto.builder setVersionNumber (مقدار 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;