TensorProto.Builder

الطبقة النهائية العامة الثابتة TensorProto.Builder

 Protocol buffer representing a tensor.
 
نوع Protobuf tensorflow.TensorProto

الأساليب العامة

TensorProto.Builder
addAllBoolVal (قيم Iterable<? Extends Boolean>)
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addAllDcomplexVal (قيم Iterable<? Extends Double>)
 DT_COMPLEX128.
TensorProto.Builder
addAllDoubleVal (قيم Iterable<? Extends Double>)
 DT_DOUBLE.
TensorProto.Builder
addAllFloatVal (Iterable<? Extends Float> القيم)
 DT_FLOAT.
TensorProto.Builder
addAllHalfVal (قيم Iterable<? Extends Integer>)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addAllInt64Val (قيم Iterable<? Extends Long>)
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addAllIntVal (قيم Iterable<? Extends Integer>)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addAllResourceHandleVal (Iterable<؟ يمتد ResourceHandleProto > القيم)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addAllScomplexVal (Iterable<? Extends Float> القيم)
 DT_COMPLEX64.
TensorProto.Builder
addAllStringVal (Iterable<? Extends ByteString> القيم)
 DT_STRING
 
repeated bytes string_val = 8;
TensorProto.Builder
addAllUint32Val (قيم Iterable<? Extends Integer>)
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addAllUint64Val (قيم Iterable<? Extends Long>)
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addAllVariantVal (Iterable<? يمتد VariantTensorDataProto > القيم)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addBoolVal (قيمة منطقية)
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addDcomplexVal (قيمة مزدوجة)
 DT_COMPLEX128.
TensorProto.Builder
addDoubleVal (قيمة مزدوجة)
 DT_DOUBLE.
TensorProto.Builder
addFloatVal (القيمة العائمة)
 DT_FLOAT.
TensorProto.Builder
addHalfVal (قيمة int)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addInt64Val (قيمة طويلة)
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addIntVal (قيمة int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addRepeatedField (حقل com.google.protobuf.Descriptors.FieldDescriptor، قيمة الكائن)
TensorProto.Builder
addResourceHandleVal (مؤشر int، ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (مؤشر int، قيمة ResourceHandleProto )
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (قيمة 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 (فهرس كثافة العمليات)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
addResourceHandleValBuilder ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addScomplexVal (القيمة العائمة)
 DT_COMPLEX64.
TensorProto.Builder
addStringVal (قيمة com.google.protobuf.ByteString)
 DT_STRING
 
repeated bytes string_val = 8;
TensorProto.Builder
addUint32Val (قيمة int)
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addUint64Val (قيمة طويلة)
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addVariantVal (قيمة VariantTensorDataProto )
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (مؤشر int، VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addVariantVal (مؤشر int، قيمة 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 (فهرس كثافة العمليات)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
إضافةVariantValBuilder ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto
TensorProto
TensorProto.Builder
TensorProto.Builder
كليربولفال ()
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
ClearDcomplexVal ()
 DT_COMPLEX128.
TensorProto.Builder
كليردوبلفال ()
 DT_DOUBLE.
TensorProto.Builder
نوع واضح ()
.tensorflow.DataType dtype = 1;
TensorProto.Builder
ClearField (حقل com.google.protobuf.Descriptors.FieldDescriptor)
TensorProto.Builder
TensorProto.Builder
كليرهالففال ()
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
كليرInt64Val ()
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
كليرينتفال ()
 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
كليرسترينغفال ()
 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
كليرتينسورشيب ()
 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
كليرفاريانتفال ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
TensorProto.Builder
منطقية
getBoolVal (فهرس كثافة العمليات)
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
كثافة العمليات
الحصول على BoolValCount ()
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
قائمة <منطقية>
الحصول على BoolValList ()
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
مزدوج
getDcomplexVal (فهرس كثافة العمليات)
 DT_COMPLEX128.
كثافة العمليات
قائمة<مزدوجة>
getDcomplexValList ()
 DT_COMPLEX128.
TensorProto
النهائي الثابت com.google.protobuf.Descriptors.Descriptor
com.google.protobuf.Descriptors.Descriptor
مزدوج
getDoubleVal (فهرس كثافة العمليات)
 DT_DOUBLE.
كثافة العمليات
قائمة<مزدوجة>
نوع البيانات
الحصول على نوع ()
.tensorflow.DataType dtype = 1;
كثافة العمليات
الحصول علىDtypeValue ()
.tensorflow.DataType dtype = 1;
يطفو
getFloatVal (فهرس كثافة العمليات)
 DT_FLOAT.
كثافة العمليات
getFloatValCount ()
 DT_FLOAT.
قائمة <تعويم>
getFloatValList ()
 DT_FLOAT.
كثافة العمليات
getHalfVal (فهرس كثافة العمليات)
 DT_HALF, DT_BFLOAT16.
كثافة العمليات
القائمة<عدد صحيح>
الحصول علىHalfValList ()
 DT_HALF, DT_BFLOAT16.
طويل
getInt64Val (فهرس كثافة العمليات)
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
كثافة العمليات
getInt64ValCount ()
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
قائمة <طويلة>
getInt64ValList ()
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
كثافة العمليات
getIntVal (فهرس كثافة العمليات)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
كثافة العمليات
جيتينتفالكونت ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
القائمة<عدد صحيح>
جيتينتفاليست ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
ResourceHandleProto
getResourceHandleVal (فهرس كثافة العمليات)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
getResourceHandleValBuilder (فهرس كثافة العمليات)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
القائمة< ResourceHandleProto.Builder >
getResourceHandleValBuilderList ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
كثافة العمليات
getResourceHandleValCount ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
القائمة< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (فهرس كثافة العمليات)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
القائمة<؟ يمتد ResourceHandleProtoOrBuilder >
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
يطفو
getScomplexVal (فهرس كثافة العمليات)
 DT_COMPLEX64.
كثافة العمليات
getScomplexValCount ()
 DT_COMPLEX64.
قائمة <تعويم>
getScomplexValList ()
 DT_COMPLEX64.
com.google.protobuf.ByteString
getStringVal (فهرس كثافة العمليات)
 DT_STRING
 
repeated bytes string_val = 8;
كثافة العمليات
الحصول على StringValCount ()
 DT_STRING
 
repeated bytes string_val = 8;
قائمة <ByteString>
getStringValList ()
 DT_STRING
 
repeated bytes string_val = 8;
com.google.protobuf.ByteString
الحصول على TensorContent ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorShapeProto
الحصول على TensorShape ()
 Shape of the tensor.
TensorShapeProto.Builder
TensorShapeProtoOrBuilder
كثافة العمليات
getUint32Val (فهرس كثافة العمليات)
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
كثافة العمليات
getUint32ValCount ()
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
القائمة<عدد صحيح>
getUint32ValList ()
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
طويل
getUint64Val (فهرس كثافة العمليات)
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
كثافة العمليات
getUint64ValCount ()
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
قائمة <طويلة>
getUint64ValList ()
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
VariantTensorDataProto
getVariantVal (فهرس كثافة العمليات)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
getVariantValBuilder (فهرس كثافة العمليات)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
القائمة< VariantTensorDataProto.Builder >
getVariantValBuilderList ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
كثافة العمليات
الحصول على VariantValCount ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
القائمة< VariantTensorDataProto >
الحصول على VariantValList ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder
getVariantValOrBuilder (فهرس كثافة العمليات)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
القائمة<؟ يمتد VariantTensorDataProtoOrBuilder >
getVariantValOrBuilderList ()
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
كثافة العمليات
منطقية
hasTensorShape ()
 Shape of the tensor.
منطقية نهائية
TensorProto.Builder
دمج من (com.google.protobuf.Message أخرى)
TensorProto.Builder
دمج من (com.google.protobuf.CodedInputStream input، com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)
TensorProto.Builder
دمج TensorShape (قيمة TensorShapeProto )
 Shape of the tensor.
TensorProto.Builder النهائي
دمجUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
TensorProto.Builder
RemoveResourceHandleVal (فهرس كثافة العمليات)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
إزالةVariantVal (مؤشر كثافة العمليات)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setBoolVal (مؤشر int، قيمة منطقية)
 DT_BOOL
 
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
setDcomplexVal (مؤشر int، قيمة مزدوجة)
 DT_COMPLEX128.
TensorProto.Builder
setDoubleVal (مؤشر int، قيمة مزدوجة)
 DT_DOUBLE.
TensorProto.Builder
setDtype (قيمة نوع البيانات )
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setDtypeValue (قيمة int)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setField (حقل com.google.protobuf.Descriptors.FieldDescriptor، قيمة الكائن)
TensorProto.Builder
setFloatVal (مؤشر int، قيمة التعويم)
 DT_FLOAT.
TensorProto.Builder
setHalfVal (فهرس كثافة العمليات، قيمة كثافة العمليات)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
setInt64Val (مؤشر int، قيمة طويلة)
 DT_INT64
 
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
setIntVal (مؤشر int، قيمة int)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
setRepeatedField (حقل com.google.protobuf.Descriptors.FieldDescriptor، فهرس int، قيمة الكائن)
TensorProto.Builder
setResourceHandleVal (مؤشر كثافة العمليات، ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setResourceHandleVal (مؤشر int، قيمة ResourceHandleProto )
 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setScomplexVal (مؤشر int، قيمة التعويم)
 DT_COMPLEX64.
TensorProto.Builder
setStringVal (مؤشر int، قيمة com.google.protobuf.ByteString)
 DT_STRING
 
repeated bytes string_val = 8;
TensorProto.Builder
setTensorContent (قيمة com.google.protobuf.ByteString)
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
setTensorShape (قيمة TensorShapeProto )
 Shape of the tensor.
TensorProto.Builder
setTensorShape ( TensorShapeProto.Builder builderForValue)
 Shape of the tensor.
TensorProto.Builder
setUint32Val (فهرس كثافة العمليات، قيمة كثافة العمليات)
 DT_UINT32
 
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
setUint64Val (مؤشر int، قيمة طويلة)
 DT_UINT64
 
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder النهائي
setUnknownFields (com.google.protobuf.UnknownFieldSet UnknownFields)
TensorProto.Builder
setVariantVal (مؤشر int، قيمة VariantTensorDataProto )
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVariantVal (مؤشر int، VariantTensorDataProto.Builder builderForValue)
 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
setVersionNumber (قيمة int)
 Version number.

الطرق الموروثة

الأساليب العامة

TensorProto.Builder addAllBoolVal العام (قيم Iterable<? Extends Boolean>)

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

TensorProto.Builder public addAllDcomplexVal (قيم 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];

TensorProto.Builder addAllDoubleVal العام (قيم Iterable<? Extends Double>)

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

TensorProto.Builder addAllFloatVal العام (قيم Iterable<? Extends Float>)

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

TensorProto.Builder addAllHalfVal العام (قيم 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];

TensorProto.Builder addAllInt64Val العام (قيم Iterable<? Extends Long>)

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

TensorProto.Builder addAllIntVal العام (قيم Iterable<? Extends Integer>)

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

TensorProto.Builder addAllResourceHandleVal العام (Iterable <؟ يمتد ResourceHandleProto > القيم)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

TensorProto.Builder addAllScomplexVal العام (قيم 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];

TensorProto.Builder addAllStringVal العام (قيم Iterable<? Extends ByteString>)

 DT_STRING
 
repeated bytes string_val = 8;

TensorProto.Builder addAllUint32Val العام (قيم Iterable<? Extends Integer>)

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

TensorProto.Builder addAllUint64Val العام (قيم Iterable<? Extends Long>)

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

TensorProto.Builder addAllVariantVal العام (Iterable<؟ يمتد VariantTensorDataProto > القيم)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

TensorProto.Builder addBoolVal العام (قيمة منطقية)

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

TensorProto.Builder العام addDcomplexVal (قيمة مزدوجة)

 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 addDoubleVal العام (قيمة مزدوجة)

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

TensorProto.Builder public addFloatVal (القيمة العائمة)

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

TensorProto.Builder public addHalfVal (قيمة 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];

TensorProto.Builder addInt64Val العام (قيمة طويلة)

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

TensorProto.Builder addIntVal العام (قيمة int)

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

TensorProto.Builder addRepeatedField العام (حقل com.google.protobuf.Descriptors.FieldDescriptor، قيمة الكائن)

TensorProto.Builder addResourceHandleVal العام (فهرس كثافة العمليات، ResourceHandleProto.Builder builderForValue)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

TensorProto.Builder addResourceHandleVal العام (مؤشر int، قيمة ResourceHandleProto )

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

TensorProto.Builder addResourceHandleVal العامة (قيمة ResourceHandleProto )

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

TensorProto.Builder addResourceHandleVal العام ( ResourceHandleProto.Builder builderForValue)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

ResourceHandleProto.Builder العام addResourceHandleValBuilder (فهرس كثافة العمليات)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

ResourceHandleProto.Builder العام addResourceHandleValBuilder ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

TensorProto.Builder public addScomplexVal (القيمة العائمة)

 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 العام (قيمة com.google.protobuf.ByteString)

 DT_STRING
 
repeated bytes string_val = 8;

TensorProto.Builder addUint32Val العام (قيمة int)

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

TensorProto.Builder addUint64Val العام (قيمة طويلة)

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

TensorProto.Builder addVariantVal العام (قيمة VariantTensorDataProto )

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

TensorProto.Builder addVariantVal العام (مؤشر int، VariantTensorDataProto.Builder builderForValue)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

TensorProto.Builder addVariantVal العام (مؤشر int، قيمة VariantTensorDataProto )

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

TensorProto.Builder addVariantVal العام ( VariantTensorDataProto.Builder builderForValue)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

VariantTensorDataProto.Builder العام addVariantValBuilder (فهرس كثافة العمليات)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

VariantTensorDataProto.Builder العام addVariantValBuilder ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

بناء TensorProto العام ()

بناء TensorProto العام جزئيًا ()

TensorProto.Builder العام واضح ()

TensorProto.Builder العام ClearBoolVal ()

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

TensorProto.Builder العام 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 العام ClearDoubleVal ()

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

TensorProto.Builder العام ClearDtype ()

.tensorflow.DataType dtype = 1;

TensorProto.Builder ClearField العام (حقل com.google.protobuf.Descriptors.FieldDescriptor)

TensorProto.Builder العام ClearFloatVal ()

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

TensorProto.Builder العام 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 العام ClearInt64Val ()

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

TensorProto.Builder العام ClearIntVal ()

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

TensorProto.Builder ClearOneof العام (com.google.protobuf.Descriptors.OneofDescriptor oneof)

TensorProto.Builder العام ClearResourceHandleVal ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

TensorProto.Builder العام 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 العام ClearStringVal ()

 DT_STRING
 
repeated bytes string_val = 8;

TensorProto.Builder العام 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 العام ClearTensorShape ()

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

TensorProto.Builder العام ClearUint32Val ()

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

TensorProto.Builder العام ClearUint64Val ()

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

TensorProto.Builder العام ClearVariantVal ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

TensorProto.Builder العام 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;

استنساخ TensorProto.Builder العام ()

getBoolVal المنطقية العامة (مؤشر int)

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

int العام getBoolValCount ()

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

القائمة العامة<Boolean> getBoolValList ()

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

getDcomplexVal المزدوج العام (مؤشر 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 العام 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];

القائمة العامة<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];

TensorProto getDefaultInstanceForType () العام

النهائي العام الثابت com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

getDoubleVal المزدوج العام (مؤشر int)

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

int العام getDoubleValCount ()

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

القائمة العامة<Double> getDoubleValList ()

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

نوع البيانات العام getDtype ()

.tensorflow.DataType dtype = 1;

int public getDtypeValue ()

.tensorflow.DataType dtype = 1;

getFloatVal العائمة العامة (مؤشر int)

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

int العام getFloatValCount ()

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

القائمة العامة<Float> getFloatValList ()

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

int public getHalfVal (مؤشر 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 العام 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];

القائمة العامة<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];

getInt64Val العام الطويل (مؤشر int)

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

int العام getInt64ValCount ()

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

القائمة العامة<Long> getInt64ValList ()

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

int public getIntVal (مؤشر int)

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

int العام getIntValCount ()

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

القائمة العامة<Integer> getIntValList ()

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

ResourceHandleProto العام getResourceHandleVal (فهرس كثافة العمليات)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

ResourceHandleProto.Builder العام getResourceHandleValBuilder (فهرس كثافة العمليات)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

القائمة العامة< ResourceHandleProto.Builder > getResourceHandleValBuilderList ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

int العام getResourceHandleValCount ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

القائمة العامة< ResourceHandleProto > getResourceHandleValList ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

GetResourceHandleProtoOrBuilder العام getResourceHandleValOrBuilder (فهرس كثافة العمليات)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

القائمة العامة <؟ يمتد ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList ()

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

getScomplexVal العائمة العامة (مؤشر 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 العام 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];

القائمة العامة<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 العام (مؤشر int)

 DT_STRING
 
repeated bytes string_val = 8;

int العام getStringValCount ()

 DT_STRING
 
repeated bytes string_val = 8;

القائمة العامة<ByteString> getStringValList ()

 DT_STRING
 
repeated bytes string_val = 8;

com.google.protobuf.ByteString getTensorContent () العام

 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 العام getTensorShape ()

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

TensorShapeProto.Builder العام getTensorShapeBuilder ()

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

TensorShapeProtoOrBuilder العام getTensorShapeOrBuilder ()

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

int public getUint32Val (مؤشر int)

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

int العام getUint32ValCount ()

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

القائمة العامة<Integer> getUint32ValList ()

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

getUint64Val العام الطويل (مؤشر int)

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

int العام getUint64ValCount ()

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

القائمة العامة<Long> getUint64ValList ()

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

VariantTensorDataProto getVariantVal العام (مؤشر int)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

VariantTensorDataProto.Builder العام getVariantValBuilder (فهرس كثافة العمليات)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

القائمة العامة< VariantTensorDataProto.Builder > getVariantValBuilderList ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

int العام getVariantValCount ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

القائمة العامة< VariantTensorDataProto > getVariantValList ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

VariantTensorDataProtoOrBuilder العام getVariantValOrBuilder (فهرس كثافة العمليات)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

القائمة العامة <؟ يمتد VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList ()

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

int public 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;

المنطق المنطقي العام hasTensorShape ()

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

تمت تهيئة القيمة المنطقية النهائية العامة ()

TensorProto.Builder mergeFrom العام (com.google.protobuf.Message أخرى)

TensorProto.Builder mergeFrom العام (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite ExtensionRegistry)

رميات
IOEException

TensorProto.Builder العام mergeTensorShape (قيمة TensorShapeProto )

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

النهائي العام TensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSetUnknownFields)

TensorProto.Builder العام RemoveResourceHandleVal (فهرس كثافة العمليات)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

TensorProto.Builder العام RemoveVariantVal (مؤشر int)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

TensorProto.Builder setBoolVal العام (مؤشر int، قيمة منطقية)

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

TensorProto.Builder العام setDcomplexVal (مؤشر كثافة العمليات، قيمة مزدوجة)

 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];

مجموعة TensorProto.Builder العامة DoubleVal (مؤشر int، قيمة مزدوجة)

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

TensorProto.Builder setDtype العام (قيمة DataType )

.tensorflow.DataType dtype = 1;

TensorProto.Builder العام setDtypeValue (قيمة int)

.tensorflow.DataType dtype = 1;

TensorProto.Builder setField العام (حقل com.google.protobuf.Descriptors.FieldDescriptor، قيمة الكائن)

TensorProto.Builder setFloatVal العام (مؤشر int، قيمة التعويم)

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

TensorProto.Builder setHalfVal العام (مؤشر int، قيمة 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];

TensorProto.Builder setInt64Val العام (مؤشر int، قيمة طويلة)

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

TensorProto.Builder setIntVal العام (مؤشر int، قيمة int)

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

TensorProto.Builder setRepeatedField العام (حقل com.google.protobuf.Descriptors.FieldDescriptor، مؤشر int، قيمة الكائن)

TensorProto.Builder setResourceHandleVal العام (فهرس كثافة العمليات، ResourceHandleProto.Builder builderForValue)

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

TensorProto.Builder setResourceHandleVal العام (مؤشر int، قيمة ResourceHandleProto )

 DT_RESOURCE
 
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

TensorProto.Builder setScomplexVal العام (مؤشر int، قيمة التعويم)

 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 العام (مؤشر int، قيمة com.google.protobuf.ByteString)

 DT_STRING
 
repeated bytes string_val = 8;

مجموعة TensorProto.Builder العامة TensorContent (قيمة 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;

مجموعة TensorProto.Builder العامة TensorShape (قيمة TensorShapeProto )

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

مجموعة TensorProto.Builder العامة TensorShape ( TensorShapeProto.Builder builderForValue)

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

TensorProto.Builder setUint32Val العام (مؤشر int، قيمة int)

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

TensorProto.Builder setUint64Val العام (مؤشر int، قيمة طويلة)

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

TensorProto.Builder النهائي العام setUnknownFields (com.google.protobuf.UnknownFieldSetUnknownFields)

TensorProto.Builder setVariantVal العام (مؤشر int، قيمة VariantTensorDataProto )

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

مجموعة TensorProto.Builder العامة VariantVal (مؤشر int، VariantTensorDataProto.Builder builderForValue)

 DT_VARIANT
 
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

TensorProto.Builder setVersionNumber العام (قيمة 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;