TensorProto.Builder

পাবলিক স্ট্যাটিক ফাইনাল ক্লাস TensorProto.Builder

 Protocol buffer representing a tensor.
Protobuf টাইপ tensorflow.TensorProto

পাবলিক পদ্ধতি

TensorProto.Builder
AddAllBoolVal (Iterable<? বুলিয়ান> মান প্রসারিত করে)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addAllDcomplexVal (Iterable<? ডাবল> মান প্রসারিত করে)
 DT_COMPLEX128.
TensorProto.Builder
addAllDoubleVal (Iterable<? ডাবল> মান প্রসারিত করে)
 DT_DOUBLE.
TensorProto.Builder
addAllFloatVal (Iterable<? প্রসারিত করে Float> মান)
 DT_FLOAT.
TensorProto.Builder
addAllHalfVal (Iterable<? পূর্ণসংখ্যা> মান প্রসারিত করে)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addAllInt64Val (Iterable<? প্রসারিত দীর্ঘ> মান)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addAllIntVal (Iterable<? পূর্ণসংখ্যা> মান প্রসারিত করে)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addAllResourceHandleVal (Iterable<? ResourceHandleProto > মান প্রসারিত করে)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addAllScomplexVal (Iterable<? প্রসারিত করে Float> মান)
 DT_COMPLEX64.
TensorProto.Builder
addAllStringVal (Iterable<? প্রসারিত করে ByteString> মান)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addAllUint32Val (Iterable<? পূর্ণসংখ্যা> মান প্রসারিত করে)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addAllUint64Val (Iterable<? প্রসারিত দীর্ঘ> মান)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addAllVariantVal (Iterable<? VariantTensorDataProto > মান প্রসারিত করে)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
addBoolVal (বুলিয়ান মান)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
addDcomplexVal (ডবল মান)
 DT_COMPLEX128.
TensorProto.Builder
AddDoubleVal (ডবল মান)
 DT_DOUBLE.
TensorProto.Builder
addFloatVal (ফ্লোট মান)
 DT_FLOAT.
TensorProto.Builder
addHalfVal (int মান)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
addInt64Val (দীর্ঘ মান)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
addIntVal (int মান)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, বস্তুর মান)
TensorProto.Builder
addResourceHandleVal (int index, ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal (int সূচক, ResourceHandleProto মান)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addResourceHandleVal ( ResourceHandleProto মান)
 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 (int সূচক)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
addResourceHandleValBuilder ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
addScomplexVal (ফ্লোট মান)
 DT_COMPLEX64.
TensorProto.Builder
addStringVal (com.google.protobuf.ByteString মান)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
addUint32Val (int মান)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
addUint64Val (দীর্ঘ মান)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
TensorProto.Builder
addVariantVal ( VariantTensorDataProto মান)
 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 (int index, VariantTensorDataProto মান)
 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 (int সূচক)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
addVariantValBuilder ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
টেনসরপ্রোটো
নির্মাণ ()
টেনসরপ্রোটো
বিল্ড আংশিক ()
TensorProto.Builder
পরিষ্কার ()
TensorProto.Builder
সাফবুলভাল ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
clearDcomplexVal ()
 DT_COMPLEX128.
TensorProto.Builder
ক্লিয়ার ডাবলভাল ()
 DT_DOUBLE.
TensorProto.Builder
clearDtype ()
.tensorflow.DataType dtype = 1;
TensorProto.Builder
clearField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র)
TensorProto.Builder
ক্লিয়ারফ্লোটভাল ()
 DT_FLOAT.
TensorProto.Builder
সাফ হাফভাল ()
 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
পরিষ্কার টেনসর সামগ্রী ()
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
পরিষ্কার টেনসর আকৃতি ()
 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
পরিষ্কার ভেরিয়েন্টভাল ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
পরিষ্কার সংস্করণ সংখ্যা ()
 Version number.
TensorProto.Builder
ক্লোন ()
বুলিয়ান
getBoolVal (int সূচক)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
int
getBoolValCount ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
তালিকা<বুলিয়ান>
getBoolValList ()
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
দ্বিগুণ
getDcomplexVal (int সূচক)
 DT_COMPLEX128.
int
getDcomplexValCount ()
 DT_COMPLEX128.
তালিকা<ডবল>
getDcomplexValList ()
 DT_COMPLEX128.
টেনসরপ্রোটো
getDefaultInstanceForType ()
চূড়ান্ত স্ট্যাটিক com.google.protobuf.Descriptors.Descriptor
getDescriptor ()
com.google.protobuf.Descriptors.Descriptor
getDescriptorForType ()
দ্বিগুণ
getDoubleVal (int সূচক)
 DT_DOUBLE.
int
getDoubleValCount ()
 DT_DOUBLE.
তালিকা<ডবল>
getDoubleValList ()
 DT_DOUBLE.
ডেটা টাইপ
getDtype ()
.tensorflow.DataType dtype = 1;
int
getDtypeValue ()
.tensorflow.DataType dtype = 1;
ভাসা
getFloatVal (int সূচক)
 DT_FLOAT.
int
getFloatValCount ()
 DT_FLOAT.
তালিকা<ফ্লোট>
getFloatValList ()
 DT_FLOAT.
int
getHalfVal (int সূচক)
 DT_HALF, DT_BFLOAT16.
int
getHalfValCount ()
 DT_HALF, DT_BFLOAT16.
তালিকা<পূর্ণসংখ্যা>
getHalfValList ()
 DT_HALF, DT_BFLOAT16.
দীর্ঘ
getInt64Val (int সূচক)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
int
getInt64ValCount ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
তালিকা<লং>
getInt64ValList ()
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
int
getIntVal (int সূচক)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
int
getIntValCount ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
তালিকা<পূর্ণসংখ্যা>
getIntValList ()
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
ResourceHandleProto
getResourceHandleVal (int সূচক)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProto.Builder
getResourceHandleValBuilder (int সূচক)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
তালিকা< ResourceHandleProto.Builder >
getResourceHandleValBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
int
getResourceHandleValCount ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
তালিকা< ResourceHandleProto >
getResourceHandleValList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProtoOrBuilder
getResourceHandleValOrBuilder (int সূচক)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
তালিকা <? ResourceHandleProtoOrBuilder > প্রসারিত করে
getResourceHandleValOrBuilderList ()
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ভাসা
getScomplexVal (int সূচক)
 DT_COMPLEX64.
int
getScomplexValCount ()
 DT_COMPLEX64.
তালিকা<ফ্লোট>
getScomplexValList ()
 DT_COMPLEX64.
com.google.protobuf.ByteString
getStringVal (int সূচক)
 DT_STRING
repeated bytes string_val = 8;
int
getStringValCount ()
 DT_STRING
repeated bytes string_val = 8;
তালিকা<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.
int
getUint32Val (int সূচক)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
int
getUint32ValCount ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
তালিকা<পূর্ণসংখ্যা>
getUint32ValList ()
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
দীর্ঘ
getUint64Val (int সূচক)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
int
getUint64ValCount ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
তালিকা<লং>
getUint64ValList ()
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
ভেরিয়েন্ট টেনসরডেটা প্রোটো
getVariantVal (int সূচক)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProto.Builder
getVariantValBuilder (int সূচক)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
তালিকা< VariantTensorDataProto.Builder >
getVariantValBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int
getVariantValCount ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
তালিকা< VariantTensorDataProto >
getVariantValList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
ভেরিয়েন্টটেনসরডেটা প্রোটোঅরবিল্ডার
getVariantValOrBuilder (int সূচক)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
তালিকা <? প্রসারিত হয় VariantTensorDataProtoOrBuilder >
getVariantValOrBuilderList ()
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int
getVersionNumber ()
 Version number.
বুলিয়ান
আছে টেনসরশেপ ()
 Shape of the tensor.
চূড়ান্ত বুলিয়ান
সূচনা করা হয়েছে ()
TensorProto.Builder
mergeFrom (com.google.protobuf.অন্যান্য বার্তা পাঠান)
TensorProto.Builder
mergeFrom (com.google.protobuf.CodedInputStream ইনপুট, com.google.protobuf.ExtensionRegistryLite এক্সটেনশন রেজিস্ট্রি)
TensorProto.Builder
mergeTensorShape ( TensorShapeProto মান)
 Shape of the tensor.
চূড়ান্ত TensorProto.Builder
একত্রিত করুন অজানাক্ষেত্র (com.google.protobuf.UnknownFieldSet অজানাক্ষেত্র)
TensorProto.Builder
রিসোর্সহ্যান্ডলভ্যাল (int সূচক)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
রিমুভ ভ্যারিয়েন্টভাল (int সূচক)
 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
TensorProto.Builder
সেটবুলভাল (int সূচক, বুলিয়ান মান)
 DT_BOOL
repeated bool bool_val = 11 [packed = true];
TensorProto.Builder
setDcomplexVal (int সূচক, ডবল মান)
 DT_COMPLEX128.
TensorProto.Builder
setDoubleVal (int সূচক, দ্বিগুণ মান)
 DT_DOUBLE.
TensorProto.Builder
setDtype ( DataType মান)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setDtypeValue (int মান)
.tensorflow.DataType dtype = 1;
TensorProto.Builder
setField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, বস্তুর মান)
TensorProto.Builder
setFloatVal (int সূচক, ফ্লোট মান)
 DT_FLOAT.
TensorProto.Builder
setHalfVal (int সূচক, int মান)
 DT_HALF, DT_BFLOAT16.
TensorProto.Builder
setInt64Val (int সূচক, দীর্ঘ মান)
 DT_INT64
repeated int64 int64_val = 10 [packed = true];
TensorProto.Builder
setIntVal (int সূচক, int মান)
 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
TensorProto.Builder
setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, int সূচক, অবজেক্ট মান)
TensorProto.Builder
setResourceHandleVal (int index, ResourceHandleProto.Builder builderForValue)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setResourceHandleVal (int সূচক, ResourceHandleProto মান)
 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
TensorProto.Builder
setScomplexVal (int সূচক, ফ্লোট মান)
 DT_COMPLEX64.
TensorProto.Builder
setStringVal (int index, com.google.protobuf.ByteString মান)
 DT_STRING
repeated bytes string_val = 8;
TensorProto.Builder
setTensorContent (com.google.protobuf.ByteString মান)
 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorProto.Builder
setTensorShape ( TensorShapeProto মান)
 Shape of the tensor.
TensorProto.Builder
setTensorShape ( TensorShapeProto.Builder builderForValue)
 Shape of the tensor.
TensorProto.Builder
setUint32Val (int সূচক, int মান)
 DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
TensorProto.Builder
setUint64Val (int সূচক, দীর্ঘ মান)
 DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
চূড়ান্ত TensorProto.Builder
সেটUnknownFields (com.google.protobuf.UnknownFieldসেট অজানাফিল্ড)
TensorProto.Builder
setVariantVal (int index, VariantTensorDataProto মান)
 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 (int মান)
 Version number.

উত্তরাধিকারসূত্রে প্রাপ্ত পদ্ধতি

পাবলিক পদ্ধতি

সর্বজনীন TensorProto.Builder addAllBoolVal (Iterable<? বুলিয়ান> মান প্রসারিত করে) 

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

সর্বজনীন TensorProto.Builder addAllDcomplexVal (Iterable<? ডাবল> মান প্রসারিত করে) 

 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];

সর্বজনীন TensorProto.Builder addAllDoubleVal (Iterable<? ডাবল> মান প্রসারিত করে) 

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

সর্বজনীন TensorProto.Builder addAllFloatVal (Iterable<? প্রসারিত করে Float> মান) 

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

সর্বজনীন TensorProto.Builder addAllHalfVal (Iterable<? পূর্ণসংখ্যা> মান প্রসারিত করে) 

 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];

সর্বজনীন TensorProto.Builder addAllInt64Val (Iterable<? দীর্ঘ> মান প্রসারিত করে) 

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

সর্বজনীন TensorProto.Builder addAllIntVal (Iterable<? পূর্ণসংখ্যা> মান প্রসারিত করে) 

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

সর্বজনীন TensorProto.Builder addAllResourceHandleVal (Iterable<? ResourceHandleProto > মান প্রসারিত করে) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

সর্বজনীন TensorProto.Builder addAllScomplexVal (Iterable<? প্রসারিত করে Float> মান) 

 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];

সর্বজনীন TensorProto.Builder addAllStringVal (Iterable<? প্রসারিত করে ByteString> মান) 

 DT_STRING
repeated bytes string_val = 8;

সর্বজনীন TensorProto.Builder addAllUint32Val (Iterable<? পূর্ণসংখ্যা> মান প্রসারিত করে) 

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

সর্বজনীন TensorProto.Builder addAllUint64Val (Iterable<? দীর্ঘ> মান প্রসারিত করে) 

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

সর্বজনীন TensorProto.Builder addAllVariantVal (Iterable<? প্রসারিত করে VariantTensorDataProto > মান) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder addBoolVal (বুলিয়ান মান) 

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

সর্বজনীন TensorProto.Builder addDcomplexVal (ডবল মান) 

 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];

সর্বজনীন TensorProto.Builder addDoubleVal (ডবল মান) 

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

সর্বজনীন TensorProto.Builder addFloatVal (ফ্লোট মান) 

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

সর্বজনীন TensorProto.Builder addHalfVal (int মান) 

 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 TensorProto.Builder addInt64Val (দীর্ঘ মান) 

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

সর্বজনীন TensorProto.Builder addIntVal (int মান) 

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

সর্বজনীন TensorProto.Builder addRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, বস্তুর মান)

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

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

সর্বজনীন TensorProto.Builder addResourceHandleVal (int index, ResourceHandleProto মান) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

সর্বজনীন TensorProto.Builder addResourceHandleVal ( ResourceHandleProto মান) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

সর্বজনীন TensorProto.Builder addResourceHandleVal ( ResourceHandleProto.Builder builderForValue) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder addResourceHandleValBuilder (int সূচক) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder addResourceHandleValBuilder () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

সর্বজনীন TensorProto.Builder addScomplexVal (ফ্লোট মান) 

 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];

সর্বজনীন TensorProto.Builder addStringVal (com.google.protobuf.ByteString মান) 

 DT_STRING
repeated bytes string_val = 8;

public TensorProto.Builder addUint32Val (int মান) 

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

public TensorProto.Builder addUint64Val (দীর্ঘ মান) 

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

সর্বজনীন TensorProto.Builder addVariantVal ( VariantTensorDataProto মান) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন TensorProto.Builder addVariantVal (int index, VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন TensorProto.Builder addVariantVal (int index, VariantTensorDataProto মান) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন TensorProto.Builder addVariantVal ( VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন ভেরিয়েন্টটেনসরডেটাপ্রোটো.বিল্ডার অ্যাডভ্যারিয়ান্টভ্যালবিল্ডার (ইনটেক্স) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন ভেরিয়েন্টটেনসরডেটাপ্রোটো.বিল্ডার অ্যাডভ্যারিয়েন্টভ্যালবিল্ডার () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন TensorProto বিল্ড ()

পাবলিক টেনসরপ্রোটো বিল্ড আংশিক ()

সর্বজনীন TensorProto.Builder clear ()

সর্বজনীন TensorProto.Builder clearBoolVal () 

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

সর্বজনীন 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];

সর্বজনীন TensorProto.Builder clearDoubleVal () 

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

সর্বজনীন TensorProto.Builder clearDtype ()

.tensorflow.DataType dtype = 1;

সর্বজনীন TensorProto.Builder clearField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র)

সর্বজনীন TensorProto.Builder clearFloatVal () 

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

সর্বজনীন 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];

সর্বজনীন TensorProto.Builder clearInt64Val () 

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

সর্বজনীন TensorProto.Builder clearIntVal () 

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

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

সর্বজনীন TensorProto.Builder clearResourceHandleVal () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

সর্বজনীন 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];

সর্বজনীন TensorProto.Builder clearStringVal () 

 DT_STRING
repeated bytes string_val = 8;

সর্বজনীন 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;

সর্বজনীন TensorProto.Builder clearTensorShape () 

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

সর্বজনীন TensorProto.Builder clearUint32Val () 

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

সর্বজনীন TensorProto.Builder clearUint64Val () 

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

সর্বজনীন TensorProto.Builder clearVariantVal () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন 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;

সর্বজনীন TensorProto.Builder ক্লোন ()

পাবলিক বুলিয়ান getBoolVal (int সূচক) 

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

পাবলিক int getBoolValCount () 

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

সর্বজনীন তালিকা<বুলিয়ান> getBoolValList () 

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

পাবলিক ডাবল getDcomplexVal (int সূচক) 

 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];

পাবলিক 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];

সর্বজনীন তালিকা<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];

সর্বজনীন TensorProto getDefaultInstanceForType ()

পাবলিক স্ট্যাটিক ফাইনাল com.google.protobuf.Descriptors.Descriptor getDescriptor ()

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

পাবলিক ডাবল getDoubleVal (int সূচক) 

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

পাবলিক int getDoubleValCount () 

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

সর্বজনীন তালিকা<Double> getDoubleValList () 

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

সর্বজনীন ডেটা টাইপ getDtype ()

.tensorflow.DataType dtype = 1;

পাবলিক int getDtypeValue ()

.tensorflow.DataType dtype = 1;

পাবলিক ফ্লোট getFloatVal (int সূচক) 

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

পাবলিক int getFloatValCount () 

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

সর্বজনীন তালিকা<ফ্লোট> getFloatValList () 

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

পাবলিক int getHalfVal (int সূচক) 

 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];

পাবলিক 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];

সর্বজনীন তালিকা<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];

পাবলিক লং getInt64Val (int সূচক) 

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

পাবলিক int getInt64ValCount () 

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

সর্বজনীন তালিকা<Long> getInt64ValList () 

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

পাবলিক int getIntVal (int সূচক) 

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

পাবলিক int getIntValCount () 

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

সর্বজনীন তালিকা<Integer> getIntValList () 

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

Public ResourceHandleProto getResourceHandleVal (int সূচক) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProto.Builder getResourceHandleValBuilder (int সূচক) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

সর্বজনীন তালিকা< ResourceHandleProto.Builder > getResourceHandleValBuilderList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

পাবলিক int getResourceHandleValCount () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

সর্বজনীন তালিকা< ResourceHandleProto > getResourceHandleValList () 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

Public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (int সূচক) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

সর্বজনীন তালিকা <? ResourceHandleProtoOrBuilder > getResourceHandleValOrBuilderList () প্রসারিত করে 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

পাবলিক ফ্লোট getScomplexVal (int সূচক) 

 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];

পাবলিক 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];

সর্বজনীন তালিকা<ফ্লোট> 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];

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

 DT_STRING
repeated bytes string_val = 8;

পাবলিক int getStringValCount () 

 DT_STRING
repeated bytes string_val = 8;

সর্বজনীন তালিকা<ByteString> getStringValList () 

 DT_STRING
repeated bytes string_val = 8;

সর্বজনীন 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;

সর্বজনীন TensorShapeProto getTensorShape () 

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

সর্বজনীন TensorShapeProto.Builder getTensorShapeBuilder () 

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

সর্বজনীন TensorShapeProtoOrBuilder getTensorShapeOrBuilder () 

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

পাবলিক int getUint32Val (int সূচক) 

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

পাবলিক int getUint32ValCount () 

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

সর্বজনীন তালিকা<Integer> getUint32ValList () 

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

পাবলিক লং getUint64Val (int সূচক) 

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

পাবলিক int getUint64ValCount () 

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

সর্বজনীন তালিকা<Long> getUint64ValList () 

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

পাবলিক ভেরিয়েন্ট টেনসরডেটা প্রোটো গেট ভ্যারিয়েন্টভাল (ইনটেক্স) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন ভেরিয়েন্টটেনসরডেটাপ্রোটো.বিল্ডার getVariantValBuilder (int index) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন তালিকা< VariantTensorDataProto.Builder > getVariantValBuilderList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

পাবলিক int getVariantValCount () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন তালিকা< VariantTensorDataProto > getVariantValList () 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন ভেরিয়েন্টটেনসরডেটাপ্রোটোঅরবিল্ডার getVariantValOrBuilder (int সূচক) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন তালিকা <? VariantTensorDataProtoOrBuilder > getVariantValOrBuilderList () প্রসারিত করে 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

পাবলিক 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;

পাবলিক বুলিয়ান আছে টেনসরশেপ () 

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

সর্বজনীন চূড়ান্ত বুলিয়ান শুরু হয়েছে ()

সর্বজনীন TensorProto.Builder mergeFrom (com.google.protobuf.অন্যান্য বার্তা)

সর্বজনীন TensorProto.Builder mergeFrom (com.google.protobuf.CodedInputStream ইনপুট, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

নিক্ষেপ করে
IOException

সর্বজনীন TensorProto.Builder mergeTensorShape ( TensorShapeProto মান) 

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

সর্বজনীন চূড়ান্ত TensorProto.Builder mergeUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

public TensorProto.Builder removeResourceHandleVal (int index) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public TensorProto.Builder removeVariantVal (int index) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public TensorProto.Builder setBoolVal (int সূচক, বুলিয়ান মান) 

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

সর্বজনীন TensorProto.Builder setDcomplexVal (int সূচক, দ্বিগুণ মান) 

 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];

সর্বজনীন TensorProto.Builder setDoubleVal (int সূচক, দ্বিগুণ মান) 

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

সর্বজনীন TensorProto.Builder setDtype ( DataType মান)

.tensorflow.DataType dtype = 1;

সর্বজনীন TensorProto.Builder setDtypeValue (int মান)

.tensorflow.DataType dtype = 1;

সর্বজনীন TensorProto.Builder setField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, বস্তুর মান)

সর্বজনীন TensorProto.Builder setFloatVal (int index, float value) 

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

সর্বজনীন TensorProto.Builder setHalfVal (int সূচক, int মান) 

 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 TensorProto.Builder setInt64Val (int index, long value) 

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

সর্বজনীন TensorProto.Builder setIntVal (int সূচক, int মান) 

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

সর্বজনীন TensorProto.Builder setRepeatedField (com.google.protobuf.Descriptors.FieldDescriptor ক্ষেত্র, int সূচক, অবজেক্ট মান)

সর্বজনীন TensorProto.Builder setResourceHandleVal (int index, ResourceHandleProto.Builder builderForValue) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

সর্বজনীন TensorProto.Builder setResourceHandleVal (int index, ResourceHandleProto মান) 

 DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

সর্বজনীন TensorProto.Builder setScomplexVal (int index, float value) 

 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];

সর্বজনীন TensorProto.Builder setStringVal (int index, com.google.protobuf.ByteString মান) 

 DT_STRING
repeated bytes string_val = 8;

সর্বজনীন TensorProto.Builder setTensorContent (com.google.protobuf.ByteString মান) 

 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;

সর্বজনীন TensorProto.Builder setTensorShape ( TensorShapeProto মান) 

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

সর্বজনীন TensorProto.Builder setTensorShape ( TensorShapeProto.Builder builderForValue) 

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

সর্বজনীন TensorProto.Builder setUint32Val (int সূচক, int মান) 

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

সর্বজনীন TensorProto.Builder setUint64Val (int সূচক, দীর্ঘ মান) 

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

সর্বজনীন চূড়ান্ত TensorProto.Builder setUnknownFields (com.google.protobuf.UnknownFieldSet unknownFields)

সর্বজনীন TensorProto.Builder setVariantVal (int index, VariantTensorDataProto মান) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন TensorProto.Builder setVariantVal (int index, VariantTensorDataProto.Builder builderForValue) 

 DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;

সর্বজনীন TensorProto.Builder setVersionNumber (int value) 

 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;