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.TensorProto
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString
addAll, addAll, mergeFrom, newUninitializedMessageException
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
public 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.Builder
clear
in interface org.nd4j.shade.protobuf.MessageLite.Builder
clear
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.Builder
getDescriptorForType
in interface org.nd4j.shade.protobuf.MessageOrBuilder
getDescriptorForType
in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>
public TensorProto getDefaultInstanceForType()
getDefaultInstanceForType
in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder
getDefaultInstanceForType
in interface org.nd4j.shade.protobuf.MessageOrBuilder
public TensorProto build()
build
in interface org.nd4j.shade.protobuf.Message.Builder
build
in interface org.nd4j.shade.protobuf.MessageLite.Builder
public TensorProto buildPartial()
buildPartial
in interface org.nd4j.shade.protobuf.Message.Builder
buildPartial
in interface org.nd4j.shade.protobuf.MessageLite.Builder
public TensorProto.Builder clone()
clone
in interface org.nd4j.shade.protobuf.Message.Builder
clone
in interface org.nd4j.shade.protobuf.MessageLite.Builder
clone
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.Builder
setField
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.Builder
clearField
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.Builder
clearOneof
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.Builder
setRepeatedField
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.Builder
addRepeatedField
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.Builder
mergeFrom
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.MessageLiteOrBuilder
isInitialized
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.Builder
mergeFrom
in interface org.nd4j.shade.protobuf.MessageLite.Builder
mergeFrom
in class org.nd4j.shade.protobuf.AbstractMessage.Builder<TensorProto.Builder>
IOException
public int getDtypeValue()
.tensorflow.DataType dtype = 1;
getDtypeValue
in interface TensorProtoOrBuilder
public TensorProto.Builder setDtypeValue(int value)
.tensorflow.DataType dtype = 1;
public DataType getDtype()
.tensorflow.DataType dtype = 1;
getDtype
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public TensorShapeProto getTensorShape()
Shape of the tensor. TODO(touts): sort out the 0-rank issues.
.tensorflow.TensorShapeProto tensor_shape = 2;
getTensorShape
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public int getFloatValCount()
DT_FLOAT.
repeated float float_val = 5 [packed = true];
getFloatValCount
in interface TensorProtoOrBuilder
public float getFloatVal(int index)
DT_FLOAT.
repeated float float_val = 5 [packed = true];
getFloatVal
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public int getDoubleValCount()
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
getDoubleValCount
in interface TensorProtoOrBuilder
public double getDoubleVal(int index)
DT_DOUBLE.
repeated double double_val = 6 [packed = true];
getDoubleVal
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public int getIntValCount()
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
getIntValCount
in interface TensorProtoOrBuilder
public int getIntVal(int index)
DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
repeated int32 int_val = 7 [packed = true];
getIntVal
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public int getStringValCount()
DT_STRING
repeated bytes string_val = 8;
getStringValCount
in interface TensorProtoOrBuilder
public org.nd4j.shade.protobuf.ByteString getStringVal(int index)
DT_STRING
repeated bytes string_val = 8;
getStringVal
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public int getInt64ValCount()
DT_INT64
repeated int64 int64_val = 10 [packed = true];
getInt64ValCount
in interface TensorProtoOrBuilder
public long getInt64Val(int index)
DT_INT64
repeated int64 int64_val = 10 [packed = true];
getInt64Val
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public int getBoolValCount()
DT_BOOL
repeated bool bool_val = 11 [packed = true];
getBoolValCount
in interface TensorProtoOrBuilder
public boolean getBoolVal(int index)
DT_BOOL
repeated bool bool_val = 11 [packed = true];
getBoolVal
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public double getDcomplexVal(int index)
DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real and imaginary parts of i-th double precision complex.
repeated double dcomplex_val = 12 [packed = true];
getDcomplexVal
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public int getResourceHandleValCount()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValCount
in interface TensorProtoOrBuilder
public ResourceHandleProto getResourceHandleVal(int index)
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleVal
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public List<? extends ResourceHandleProtoOrBuilder> getResourceHandleValOrBuilderList()
DT_RESOURCE
repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
getResourceHandleValOrBuilderList
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public int getVariantValCount()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValCount
in interface TensorProtoOrBuilder
public VariantTensorDataProto getVariantVal(int index)
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantVal
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public List<? extends VariantTensorDataProtoOrBuilder> getVariantValOrBuilderList()
DT_VARIANT
repeated .tensorflow.VariantTensorDataProto variant_val = 15;
getVariantValOrBuilderList
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public int getUint32ValCount()
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
getUint32ValCount
in interface TensorProtoOrBuilder
public int getUint32Val(int index)
DT_UINT32
repeated uint32 uint32_val = 16 [packed = true];
getUint32Val
in interface TensorProtoOrBuilder
public 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 TensorProtoOrBuilder
public int getUint64ValCount()
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
getUint64ValCount
in interface TensorProtoOrBuilder
public long getUint64Val(int index)
DT_UINT64
repeated uint64 uint64_val = 17 [packed = true];
getUint64Val
in interface TensorProtoOrBuilder
public 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.Builder
setUnknownFields
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.Builder
mergeUnknownFields
in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorProto.Builder>
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