public static final class TensorProto.Builder extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder> implements TensorProtoOrBuilder
Protocol buffer representing a tensor.Protobuf type
tensorflow.TensorProtogetAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>public TensorProto.Builder clear()
clear in interface org.nd4j.shade.protobuf.Message.Builderclear in interface org.nd4j.shade.protobuf.MessageLite.Builderclear in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface org.nd4j.shade.protobuf.Message.BuildergetDescriptorForType in interface org.nd4j.shade.protobuf.MessageOrBuildergetDescriptorForType in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>public TensorProto getDefaultInstanceForType()
getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilderpublic TensorProto build()
build in interface org.nd4j.shade.protobuf.Message.Builderbuild in interface org.nd4j.shade.protobuf.MessageLite.Builderpublic TensorProto buildPartial()
buildPartial in interface org.nd4j.shade.protobuf.Message.BuilderbuildPartial in interface org.nd4j.shade.protobuf.MessageLite.Builderpublic TensorProto.Builder clone()
clone in interface org.nd4j.shade.protobuf.Message.Builderclone in interface org.nd4j.shade.protobuf.MessageLite.Builderclone in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>public TensorProto.Builder setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface org.nd4j.shade.protobuf.Message.BuildersetField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>public TensorProto.Builder clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
clearField in interface org.nd4j.shade.protobuf.Message.BuilderclearField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>public TensorProto.Builder clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface org.nd4j.shade.protobuf.Message.BuilderclearOneof in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>public TensorProto.Builder setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface org.nd4j.shade.protobuf.Message.BuildersetRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>public TensorProto.Builder addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface org.nd4j.shade.protobuf.Message.BuilderaddRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>public TensorProto.Builder mergeFrom(org.nd4j.shade.protobuf.Message other)
mergeFrom in interface org.nd4j.shade.protobuf.Message.BuildermergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<TensorProto.Builder>public TensorProto.Builder mergeFrom(TensorProto other)
public final boolean isInitialized()
isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilderisInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>public TensorProto.Builder mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface org.nd4j.shade.protobuf.Message.BuildermergeFrom in interface org.nd4j.shade.protobuf.MessageLite.BuildermergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<TensorProto.Builder>IOExceptionpublic int getDtypeValue()
.tensorflow.DataType dtype = 1;getDtypeValue in interface TensorProtoOrBuilderpublic TensorProto.Builder setDtypeValue(int value)
.tensorflow.DataType dtype = 1;public DataType getDtype()
.tensorflow.DataType dtype = 1;getDtype in interface TensorProtoOrBuilderpublic TensorProto.Builder setDtype(DataType value)
.tensorflow.DataType dtype = 1;public TensorProto.Builder clearDtype()
.tensorflow.DataType dtype = 1;public boolean hasTensorShape()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;hasTensorShape in interface TensorProtoOrBuilderpublic TensorShapeProto getTensorShape()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;getTensorShape in interface TensorProtoOrBuilderpublic TensorProto.Builder setTensorShape(TensorShapeProto value)
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;public TensorProto.Builder setTensorShape(TensorShapeProto.Builder builderForValue)
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;public TensorProto.Builder mergeTensorShape(TensorShapeProto value)
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;public TensorProto.Builder clearTensorShape()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;public TensorShapeProto.Builder getTensorShapeBuilder()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;public TensorShapeProtoOrBuilder getTensorShapeOrBuilder()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;getTensorShapeOrBuilder in interface TensorProtoOrBuilderpublic 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;getVersionNumber in interface TensorProtoOrBuilderpublic 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;public 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;public org.nd4j.shade.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;getTensorContent in interface TensorProtoOrBuilderpublic TensorProto.Builder setTensorContent(org.nd4j.shade.protobuf.ByteString value)
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;public 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;public List<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];getHalfValList in interface TensorProtoOrBuilderpublic 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];getHalfValCount in interface TensorProtoOrBuilderpublic int getHalfVal(int index)
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];getHalfVal in interface TensorProtoOrBuilderpublic TensorProto.Builder setHalfVal(int index, 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];public 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];public TensorProto.Builder addAllHalfVal(Iterable<? extends Integer> values)
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 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];public List<Float> getFloatValList()
DT_FLOAT.
repeated float float_val = 5 [packed = true];getFloatValList in interface TensorProtoOrBuilderpublic int getFloatValCount()
DT_FLOAT.
repeated float float_val = 5 [packed = true];getFloatValCount in interface TensorProtoOrBuilderpublic float getFloatVal(int index)
DT_FLOAT.
repeated float float_val = 5 [packed = true];getFloatVal in interface TensorProtoOrBuilderpublic TensorProto.Builder setFloatVal(int index, float value)
DT_FLOAT.
repeated float float_val = 5 [packed = true];public TensorProto.Builder addFloatVal(float value)
DT_FLOAT.
repeated float float_val = 5 [packed = true];public TensorProto.Builder addAllFloatVal(Iterable<? extends Float> values)
DT_FLOAT.
repeated float float_val = 5 [packed = true];public TensorProto.Builder clearFloatVal()
DT_FLOAT.
repeated float float_val = 5 [packed = true];public List<Double> getDoubleValList()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];getDoubleValList in interface TensorProtoOrBuilderpublic int getDoubleValCount()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];getDoubleValCount in interface TensorProtoOrBuilderpublic double getDoubleVal(int index)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];getDoubleVal in interface TensorProtoOrBuilderpublic TensorProto.Builder setDoubleVal(int index, double value)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];public TensorProto.Builder addDoubleVal(double value)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];public TensorProto.Builder addAllDoubleVal(Iterable<? extends Double> values)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];public TensorProto.Builder clearDoubleVal()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];public List<Integer> getIntValList()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];getIntValList in interface TensorProtoOrBuilderpublic int getIntValCount()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];getIntValCount in interface TensorProtoOrBuilderpublic int getIntVal(int index)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];getIntVal in interface TensorProtoOrBuilderpublic TensorProto.Builder setIntVal(int index, int value)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];public TensorProto.Builder addIntVal(int value)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];public TensorProto.Builder addAllIntVal(Iterable<? extends Integer> values)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];public TensorProto.Builder clearIntVal()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];public List<org.nd4j.shade.protobuf.ByteString> getStringValList()
DT_STRING
repeated bytes string_val = 8;getStringValList in interface TensorProtoOrBuilderpublic int getStringValCount()
DT_STRING
repeated bytes string_val = 8;getStringValCount in interface TensorProtoOrBuilderpublic org.nd4j.shade.protobuf.ByteString getStringVal(int index)
DT_STRING
repeated bytes string_val = 8;getStringVal in interface TensorProtoOrBuilderpublic TensorProto.Builder setStringVal(int index, org.nd4j.shade.protobuf.ByteString value)
DT_STRING
repeated bytes string_val = 8;public TensorProto.Builder addStringVal(org.nd4j.shade.protobuf.ByteString value)
DT_STRING
repeated bytes string_val = 8;public TensorProto.Builder addAllStringVal(Iterable<? extends org.nd4j.shade.protobuf.ByteString> values)
DT_STRING
repeated bytes string_val = 8;public TensorProto.Builder clearStringVal()
DT_STRING
repeated bytes string_val = 8;public List<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];getScomplexValList in interface TensorProtoOrBuilderpublic 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];getScomplexValCount in interface TensorProtoOrBuilderpublic float getScomplexVal(int index)
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];getScomplexVal in interface TensorProtoOrBuilderpublic 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];public TensorProto.Builder addScomplexVal(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];public TensorProto.Builder addAllScomplexVal(Iterable<? extends Float> values)
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];public 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];public List<Long> getInt64ValList()
DT_INT64
repeated int64 int64_val = 10 [packed = true];getInt64ValList in interface TensorProtoOrBuilderpublic int getInt64ValCount()
DT_INT64
repeated int64 int64_val = 10 [packed = true];getInt64ValCount in interface TensorProtoOrBuilderpublic long getInt64Val(int index)
DT_INT64
repeated int64 int64_val = 10 [packed = true];getInt64Val in interface TensorProtoOrBuilderpublic TensorProto.Builder setInt64Val(int index, long value)
DT_INT64
repeated int64 int64_val = 10 [packed = true];public TensorProto.Builder addInt64Val(long value)
DT_INT64
repeated int64 int64_val = 10 [packed = true];public TensorProto.Builder addAllInt64Val(Iterable<? extends Long> values)
DT_INT64
repeated int64 int64_val = 10 [packed = true];public TensorProto.Builder clearInt64Val()
DT_INT64
repeated int64 int64_val = 10 [packed = true];public List<Boolean> getBoolValList()
DT_BOOL
repeated bool bool_val = 11 [packed = true];getBoolValList in interface TensorProtoOrBuilderpublic int getBoolValCount()
DT_BOOL
repeated bool bool_val = 11 [packed = true];getBoolValCount in interface TensorProtoOrBuilderpublic boolean getBoolVal(int index)
DT_BOOL
repeated bool bool_val = 11 [packed = true];getBoolVal in interface TensorProtoOrBuilderpublic TensorProto.Builder setBoolVal(int index, boolean value)
DT_BOOL
repeated bool bool_val = 11 [packed = true];public TensorProto.Builder addBoolVal(boolean value)
DT_BOOL
repeated bool bool_val = 11 [packed = true];public TensorProto.Builder addAllBoolVal(Iterable<? extends Boolean> values)
DT_BOOL
repeated bool bool_val = 11 [packed = true];public TensorProto.Builder clearBoolVal()
DT_BOOL
repeated bool bool_val = 11 [packed = true];public List<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];getDcomplexValList in interface TensorProtoOrBuilderpublic 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];getDcomplexValCount in interface TensorProtoOrBuilderpublic 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];getDcomplexVal in interface TensorProtoOrBuilderpublic TensorProto.Builder setDcomplexVal(int index, double value)
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];public TensorProto.Builder addDcomplexVal(double value)
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];public TensorProto.Builder addAllDcomplexVal(Iterable<? extends Double> values)
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];public 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];public List<ResourceHandleProto> getResourceHandleValList()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;getResourceHandleValList in interface TensorProtoOrBuilderpublic int getResourceHandleValCount()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;getResourceHandleValCount in interface TensorProtoOrBuilderpublic ResourceHandleProto getResourceHandleVal(int index)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;getResourceHandleVal in interface TensorProtoOrBuilderpublic TensorProto.Builder setResourceHandleVal(int index, ResourceHandleProto value)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public TensorProto.Builder setResourceHandleVal(int index, ResourceHandleProto.Builder builderForValue)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public TensorProto.Builder addResourceHandleVal(ResourceHandleProto value)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public TensorProto.Builder addResourceHandleVal(int index, ResourceHandleProto value)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public TensorProto.Builder addResourceHandleVal(ResourceHandleProto.Builder builderForValue)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public TensorProto.Builder addResourceHandleVal(int index, ResourceHandleProto.Builder builderForValue)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public TensorProto.Builder addAllResourceHandleVal(Iterable<? extends ResourceHandleProto> values)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public TensorProto.Builder clearResourceHandleVal()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public TensorProto.Builder removeResourceHandleVal(int index)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public ResourceHandleProto.Builder getResourceHandleValBuilder(int index)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder(int index)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;getResourceHandleValOrBuilder in interface TensorProtoOrBuilderpublic List<? extends ResourceHandleProtoOrBuilder> getResourceHandleValOrBuilderList()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;getResourceHandleValOrBuilderList in interface TensorProtoOrBuilderpublic ResourceHandleProto.Builder addResourceHandleValBuilder()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public ResourceHandleProto.Builder addResourceHandleValBuilder(int index)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public List<ResourceHandleProto.Builder> getResourceHandleValBuilderList()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;public List<VariantTensorDataProto> getVariantValList()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;getVariantValList in interface TensorProtoOrBuilderpublic int getVariantValCount()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;getVariantValCount in interface TensorProtoOrBuilderpublic VariantTensorDataProto getVariantVal(int index)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;getVariantVal in interface TensorProtoOrBuilderpublic TensorProto.Builder setVariantVal(int index, VariantTensorDataProto value)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public TensorProto.Builder setVariantVal(int index, VariantTensorDataProto.Builder builderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public TensorProto.Builder addVariantVal(VariantTensorDataProto value)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public TensorProto.Builder addVariantVal(int index, VariantTensorDataProto value)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public TensorProto.Builder addVariantVal(VariantTensorDataProto.Builder builderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public TensorProto.Builder addVariantVal(int index, VariantTensorDataProto.Builder builderForValue)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public TensorProto.Builder addAllVariantVal(Iterable<? extends VariantTensorDataProto> values)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public TensorProto.Builder clearVariantVal()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public TensorProto.Builder removeVariantVal(int index)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public VariantTensorDataProto.Builder getVariantValBuilder(int index)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public VariantTensorDataProtoOrBuilder getVariantValOrBuilder(int index)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;getVariantValOrBuilder in interface TensorProtoOrBuilderpublic List<? extends VariantTensorDataProtoOrBuilder> getVariantValOrBuilderList()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;getVariantValOrBuilderList in interface TensorProtoOrBuilderpublic VariantTensorDataProto.Builder addVariantValBuilder()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public VariantTensorDataProto.Builder addVariantValBuilder(int index)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public List<VariantTensorDataProto.Builder> getVariantValBuilderList()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;public List<Integer> getUint32ValList()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];getUint32ValList in interface TensorProtoOrBuilderpublic int getUint32ValCount()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];getUint32ValCount in interface TensorProtoOrBuilderpublic int getUint32Val(int index)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];getUint32Val in interface TensorProtoOrBuilderpublic TensorProto.Builder setUint32Val(int index, int value)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];public TensorProto.Builder addUint32Val(int value)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];public TensorProto.Builder addAllUint32Val(Iterable<? extends Integer> values)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];public TensorProto.Builder clearUint32Val()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];public List<Long> getUint64ValList()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];getUint64ValList in interface TensorProtoOrBuilderpublic int getUint64ValCount()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];getUint64ValCount in interface TensorProtoOrBuilderpublic long getUint64Val(int index)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];getUint64Val in interface TensorProtoOrBuilderpublic TensorProto.Builder setUint64Val(int index, long value)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];public TensorProto.Builder addUint64Val(long value)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];public TensorProto.Builder addAllUint64Val(Iterable<? extends Long> values)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];public TensorProto.Builder clearUint64Val()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];public final TensorProto.Builder setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface org.nd4j.shade.protobuf.Message.BuildersetUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>public final TensorProto.Builder mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface org.nd4j.shade.protobuf.Message.BuildermergeUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>Copyright © 2021. All rights reserved.