Package org.nd4j.ir
Class TensorNamespace.TensorProto.Builder
- java.lang.Object
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- org.nd4j.shade.protobuf.AbstractMessageLite.Builder
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- org.nd4j.shade.protobuf.AbstractMessage.Builder<BuilderType>
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- org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
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- org.nd4j.ir.TensorNamespace.TensorProto.Builder
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- All Implemented Interfaces:
Cloneable
,TensorNamespace.TensorProtoOrBuilder
,org.nd4j.shade.protobuf.Message.Builder
,org.nd4j.shade.protobuf.MessageLite.Builder
,org.nd4j.shade.protobuf.MessageLiteOrBuilder
,org.nd4j.shade.protobuf.MessageOrBuilder
- Enclosing class:
- TensorNamespace.TensorProto
public static final class TensorNamespace.TensorProto.Builder extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder> implements TensorNamespace.TensorProtoOrBuilder
Tensors A serialized tensor value.
Protobuf typeorg.nd4j.ir.TensorProto
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description TensorNamespace.TensorProto.Builder
addAllBoolVal(Iterable<? extends Boolean> values)
boolean valuesTensorNamespace.TensorProto.Builder
addAllDims(Iterable<? extends Long> values)
The shape of the tensor.TensorNamespace.TensorProto.Builder
addAllDoubleData(Iterable<? extends Double> values)
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.TensorNamespace.TensorProto.Builder
addAllExternalData(Iterable<? extends TensorNamespace.StringStringEntryProto> values)
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.TensorProto.Builder
addAllFloatData(Iterable<? extends Float> values)
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.TensorNamespace.TensorProto.Builder
addAllHalfVal(Iterable<? extends Integer> values)
For half values (tensorflow compatibility)TensorNamespace.TensorProto.Builder
addAllInt32Data(Iterable<? extends Integer> values)
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.TensorNamespace.TensorProto.Builder
addAllInt64Data(Iterable<? extends Long> values)
For int64.TensorNamespace.TensorProto.Builder
addAllStringData(Iterable<? extends org.nd4j.shade.protobuf.ByteString> values)
For strings.TensorNamespace.TensorProto.Builder
addAllUint64Data(Iterable<? extends Long> values)
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64TensorNamespace.TensorProto.Builder
addBoolVal(boolean value)
boolean valuesTensorNamespace.TensorProto.Builder
addDims(long value)
The shape of the tensor.TensorNamespace.TensorProto.Builder
addDoubleData(double value)
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.TensorNamespace.TensorProto.Builder
addExternalData(int index, TensorNamespace.StringStringEntryProto value)
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.TensorProto.Builder
addExternalData(int index, TensorNamespace.StringStringEntryProto.Builder builderForValue)
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.TensorProto.Builder
addExternalData(TensorNamespace.StringStringEntryProto value)
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.TensorProto.Builder
addExternalData(TensorNamespace.StringStringEntryProto.Builder builderForValue)
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.StringStringEntryProto.Builder
addExternalDataBuilder()
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.StringStringEntryProto.Builder
addExternalDataBuilder(int index)
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.TensorProto.Builder
addFloatData(float value)
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.TensorNamespace.TensorProto.Builder
addHalfVal(int value)
For half values (tensorflow compatibility)TensorNamespace.TensorProto.Builder
addInt32Data(int value)
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.TensorNamespace.TensorProto.Builder
addInt64Data(long value)
For int64.TensorNamespace.TensorProto.Builder
addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
TensorNamespace.TensorProto.Builder
addStringData(org.nd4j.shade.protobuf.ByteString value)
For strings.TensorNamespace.TensorProto.Builder
addUint64Data(long value)
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64TensorNamespace.TensorProto
build()
TensorNamespace.TensorProto
buildPartial()
TensorNamespace.TensorProto.Builder
clear()
TensorNamespace.TensorProto.Builder
clearBoolVal()
boolean valuesTensorNamespace.TensorProto.Builder
clearDataLocation()
If value not set, data is stored in raw_data (if set) otherwise in type-specified field.TensorNamespace.TensorProto.Builder
clearDataType()
The data type of the tensor.TensorNamespace.TensorProto.Builder
clearDims()
The shape of the tensor.TensorNamespace.TensorProto.Builder
clearDocString()
A human-readable documentation for this tensor.TensorNamespace.TensorProto.Builder
clearDoubleData()
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.TensorNamespace.TensorProto.Builder
clearExternalData()
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.TensorProto.Builder
clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
TensorNamespace.TensorProto.Builder
clearFloatData()
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.TensorNamespace.TensorProto.Builder
clearHalfVal()
For half values (tensorflow compatibility)TensorNamespace.TensorProto.Builder
clearInt32Data()
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.TensorNamespace.TensorProto.Builder
clearInt64Data()
For int64.TensorNamespace.TensorProto.Builder
clearName()
Optionally, a name for the tensor.TensorNamespace.TensorProto.Builder
clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
TensorNamespace.TensorProto.Builder
clearRawData()
Serializations can either use one of the fields above, or use this raw bytes field.TensorNamespace.TensorProto.Builder
clearSegment()
.org.nd4j.ir.TensorProto.Segment segment = 3;
TensorNamespace.TensorProto.Builder
clearStringData()
For strings.TensorNamespace.TensorProto.Builder
clearUint64Data()
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64TensorNamespace.TensorProto.Builder
clone()
boolean
getBoolVal(int index)
boolean valuesint
getBoolValCount()
boolean valuesList<Boolean>
getBoolValList()
boolean valuesTensorNamespace.TensorProto.DataLocation
getDataLocation()
If value not set, data is stored in raw_data (if set) otherwise in type-specified field.int
getDataLocationValue()
If value not set, data is stored in raw_data (if set) otherwise in type-specified field.int
getDataType()
The data type of the tensor.TensorNamespace.TensorProto
getDefaultInstanceForType()
static org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor()
org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptorForType()
long
getDims(int index)
The shape of the tensor.int
getDimsCount()
The shape of the tensor.List<Long>
getDimsList()
The shape of the tensor.String
getDocString()
A human-readable documentation for this tensor.org.nd4j.shade.protobuf.ByteString
getDocStringBytes()
A human-readable documentation for this tensor.double
getDoubleData(int index)
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.int
getDoubleDataCount()
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.List<Double>
getDoubleDataList()
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.TensorNamespace.StringStringEntryProto
getExternalData(int index)
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.StringStringEntryProto.Builder
getExternalDataBuilder(int index)
Data can be stored inside the protobuf file using type-specific fields or raw_data.List<TensorNamespace.StringStringEntryProto.Builder>
getExternalDataBuilderList()
Data can be stored inside the protobuf file using type-specific fields or raw_data.int
getExternalDataCount()
Data can be stored inside the protobuf file using type-specific fields or raw_data.List<TensorNamespace.StringStringEntryProto>
getExternalDataList()
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.StringStringEntryProtoOrBuilder
getExternalDataOrBuilder(int index)
Data can be stored inside the protobuf file using type-specific fields or raw_data.List<? extends TensorNamespace.StringStringEntryProtoOrBuilder>
getExternalDataOrBuilderList()
Data can be stored inside the protobuf file using type-specific fields or raw_data.float
getFloatData(int index)
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.int
getFloatDataCount()
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.List<Float>
getFloatDataList()
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.int
getHalfVal(int index)
For half values (tensorflow compatibility)int
getHalfValCount()
For half values (tensorflow compatibility)List<Integer>
getHalfValList()
For half values (tensorflow compatibility)int
getInt32Data(int index)
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.int
getInt32DataCount()
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.List<Integer>
getInt32DataList()
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.long
getInt64Data(int index)
For int64.int
getInt64DataCount()
For int64.List<Long>
getInt64DataList()
For int64.String
getName()
Optionally, a name for the tensor.org.nd4j.shade.protobuf.ByteString
getNameBytes()
Optionally, a name for the tensor.org.nd4j.shade.protobuf.ByteString
getRawData()
Serializations can either use one of the fields above, or use this raw bytes field.TensorNamespace.TensorProto.Segment
getSegment()
.org.nd4j.ir.TensorProto.Segment segment = 3;
TensorNamespace.TensorProto.Segment.Builder
getSegmentBuilder()
.org.nd4j.ir.TensorProto.Segment segment = 3;
TensorNamespace.TensorProto.SegmentOrBuilder
getSegmentOrBuilder()
.org.nd4j.ir.TensorProto.Segment segment = 3;
org.nd4j.shade.protobuf.ByteString
getStringData(int index)
For strings.int
getStringDataCount()
For strings.List<org.nd4j.shade.protobuf.ByteString>
getStringDataList()
For strings.long
getUint64Data(int index)
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64int
getUint64DataCount()
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64List<Long>
getUint64DataList()
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64boolean
hasSegment()
.org.nd4j.ir.TensorProto.Segment segment = 3;
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable()
boolean
isInitialized()
TensorNamespace.TensorProto.Builder
mergeFrom(TensorNamespace.TensorProto other)
TensorNamespace.TensorProto.Builder
mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
TensorNamespace.TensorProto.Builder
mergeFrom(org.nd4j.shade.protobuf.Message other)
TensorNamespace.TensorProto.Builder
mergeSegment(TensorNamespace.TensorProto.Segment value)
.org.nd4j.ir.TensorProto.Segment segment = 3;
TensorNamespace.TensorProto.Builder
mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
TensorNamespace.TensorProto.Builder
removeExternalData(int index)
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.TensorProto.Builder
setBoolVal(int index, boolean value)
boolean valuesTensorNamespace.TensorProto.Builder
setDataLocation(TensorNamespace.TensorProto.DataLocation value)
If value not set, data is stored in raw_data (if set) otherwise in type-specified field.TensorNamespace.TensorProto.Builder
setDataLocationValue(int value)
If value not set, data is stored in raw_data (if set) otherwise in type-specified field.TensorNamespace.TensorProto.Builder
setDataType(int value)
The data type of the tensor.TensorNamespace.TensorProto.Builder
setDims(int index, long value)
The shape of the tensor.TensorNamespace.TensorProto.Builder
setDocString(String value)
A human-readable documentation for this tensor.TensorNamespace.TensorProto.Builder
setDocStringBytes(org.nd4j.shade.protobuf.ByteString value)
A human-readable documentation for this tensor.TensorNamespace.TensorProto.Builder
setDoubleData(int index, double value)
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.TensorNamespace.TensorProto.Builder
setExternalData(int index, TensorNamespace.StringStringEntryProto value)
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.TensorProto.Builder
setExternalData(int index, TensorNamespace.StringStringEntryProto.Builder builderForValue)
Data can be stored inside the protobuf file using type-specific fields or raw_data.TensorNamespace.TensorProto.Builder
setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
TensorNamespace.TensorProto.Builder
setFloatData(int index, float value)
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.TensorNamespace.TensorProto.Builder
setHalfVal(int index, int value)
For half values (tensorflow compatibility)TensorNamespace.TensorProto.Builder
setInt32Data(int index, int value)
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.TensorNamespace.TensorProto.Builder
setInt64Data(int index, long value)
For int64.TensorNamespace.TensorProto.Builder
setName(String value)
Optionally, a name for the tensor.TensorNamespace.TensorProto.Builder
setNameBytes(org.nd4j.shade.protobuf.ByteString value)
Optionally, a name for the tensor.TensorNamespace.TensorProto.Builder
setRawData(org.nd4j.shade.protobuf.ByteString value)
Serializations can either use one of the fields above, or use this raw bytes field.TensorNamespace.TensorProto.Builder
setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
TensorNamespace.TensorProto.Builder
setSegment(TensorNamespace.TensorProto.Segment value)
.org.nd4j.ir.TensorProto.Segment segment = 3;
TensorNamespace.TensorProto.Builder
setSegment(TensorNamespace.TensorProto.Segment.Builder builderForValue)
.org.nd4j.ir.TensorProto.Segment segment = 3;
TensorNamespace.TensorProto.Builder
setStringData(int index, org.nd4j.shade.protobuf.ByteString value)
For strings.TensorNamespace.TensorProto.Builder
setUint64Data(int index, long value)
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64TensorNamespace.TensorProto.Builder
setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
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Methods inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3
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Methods inherited from class org.nd4j.shade.protobuf.AbstractMessage.Builder
findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString
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Methods inherited from class org.nd4j.shade.protobuf.AbstractMessageLite.Builder
addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, newUninitializedMessageException
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Methods inherited from class java.lang.Object
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
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Method Detail
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getDescriptor
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()
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internalGetFieldAccessorTable
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTable
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
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clear
public TensorNamespace.TensorProto.Builder clear()
- Specified by:
clear
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Specified by:
clear
in interfaceorg.nd4j.shade.protobuf.MessageLite.Builder
- Overrides:
clear
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
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getDescriptorForType
public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType()
- Specified by:
getDescriptorForType
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Specified by:
getDescriptorForType
in interfaceorg.nd4j.shade.protobuf.MessageOrBuilder
- Overrides:
getDescriptorForType
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
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getDefaultInstanceForType
public TensorNamespace.TensorProto getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForType
in interfaceorg.nd4j.shade.protobuf.MessageLiteOrBuilder
- Specified by:
getDefaultInstanceForType
in interfaceorg.nd4j.shade.protobuf.MessageOrBuilder
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build
public TensorNamespace.TensorProto build()
- Specified by:
build
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Specified by:
build
in interfaceorg.nd4j.shade.protobuf.MessageLite.Builder
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buildPartial
public TensorNamespace.TensorProto buildPartial()
- Specified by:
buildPartial
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Specified by:
buildPartial
in interfaceorg.nd4j.shade.protobuf.MessageLite.Builder
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clone
public TensorNamespace.TensorProto.Builder clone()
- Specified by:
clone
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Specified by:
clone
in interfaceorg.nd4j.shade.protobuf.MessageLite.Builder
- Overrides:
clone
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
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setField
public TensorNamespace.TensorProto.Builder setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
- Specified by:
setField
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Overrides:
setField
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
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clearField
public TensorNamespace.TensorProto.Builder clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
- Specified by:
clearField
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Overrides:
clearField
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
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clearOneof
public TensorNamespace.TensorProto.Builder clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
- Specified by:
clearOneof
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Overrides:
clearOneof
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
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setRepeatedField
public TensorNamespace.TensorProto.Builder setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
- Specified by:
setRepeatedField
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Overrides:
setRepeatedField
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
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addRepeatedField
public TensorNamespace.TensorProto.Builder addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
- Specified by:
addRepeatedField
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Overrides:
addRepeatedField
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
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mergeFrom
public TensorNamespace.TensorProto.Builder mergeFrom(org.nd4j.shade.protobuf.Message other)
- Specified by:
mergeFrom
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Overrides:
mergeFrom
in classorg.nd4j.shade.protobuf.AbstractMessage.Builder<TensorNamespace.TensorProto.Builder>
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mergeFrom
public TensorNamespace.TensorProto.Builder mergeFrom(TensorNamespace.TensorProto other)
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isInitialized
public final boolean isInitialized()
- Specified by:
isInitialized
in interfaceorg.nd4j.shade.protobuf.MessageLiteOrBuilder
- Overrides:
isInitialized
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
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mergeFrom
public TensorNamespace.TensorProto.Builder mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Specified by:
mergeFrom
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Specified by:
mergeFrom
in interfaceorg.nd4j.shade.protobuf.MessageLite.Builder
- Overrides:
mergeFrom
in classorg.nd4j.shade.protobuf.AbstractMessage.Builder<TensorNamespace.TensorProto.Builder>
- Throws:
IOException
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getDimsList
public List<Long> getDimsList()
The shape of the tensor.
repeated int64 dims = 1;
- Specified by:
getDimsList
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- A list containing the dims.
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getDimsCount
public int getDimsCount()
The shape of the tensor.
repeated int64 dims = 1;
- Specified by:
getDimsCount
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The count of dims.
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getDims
public long getDims(int index)
The shape of the tensor.
repeated int64 dims = 1;
- Specified by:
getDims
in interfaceTensorNamespace.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The dims at the given index.
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setDims
public TensorNamespace.TensorProto.Builder setDims(int index, long value)
The shape of the tensor.
repeated int64 dims = 1;
- Parameters:
index
- The index to set the value at.value
- The dims to set.- Returns:
- This builder for chaining.
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addDims
public TensorNamespace.TensorProto.Builder addDims(long value)
The shape of the tensor.
repeated int64 dims = 1;
- Parameters:
value
- The dims to add.- Returns:
- This builder for chaining.
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addAllDims
public TensorNamespace.TensorProto.Builder addAllDims(Iterable<? extends Long> values)
The shape of the tensor.
repeated int64 dims = 1;
- Parameters:
values
- The dims to add.- Returns:
- This builder for chaining.
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clearDims
public TensorNamespace.TensorProto.Builder clearDims()
The shape of the tensor.
repeated int64 dims = 1;
- Returns:
- This builder for chaining.
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getDataType
public int getDataType()
The data type of the tensor. This field MUST have a valid TensorProto.DataType value
int32 data_type = 2;
- Specified by:
getDataType
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The dataType.
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setDataType
public TensorNamespace.TensorProto.Builder setDataType(int value)
The data type of the tensor. This field MUST have a valid TensorProto.DataType value
int32 data_type = 2;
- Parameters:
value
- The dataType to set.- Returns:
- This builder for chaining.
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clearDataType
public TensorNamespace.TensorProto.Builder clearDataType()
The data type of the tensor. This field MUST have a valid TensorProto.DataType value
int32 data_type = 2;
- Returns:
- This builder for chaining.
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hasSegment
public boolean hasSegment()
.org.nd4j.ir.TensorProto.Segment segment = 3;
- Specified by:
hasSegment
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- Whether the segment field is set.
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getSegment
public TensorNamespace.TensorProto.Segment getSegment()
.org.nd4j.ir.TensorProto.Segment segment = 3;
- Specified by:
getSegment
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The segment.
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setSegment
public TensorNamespace.TensorProto.Builder setSegment(TensorNamespace.TensorProto.Segment value)
.org.nd4j.ir.TensorProto.Segment segment = 3;
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setSegment
public TensorNamespace.TensorProto.Builder setSegment(TensorNamespace.TensorProto.Segment.Builder builderForValue)
.org.nd4j.ir.TensorProto.Segment segment = 3;
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mergeSegment
public TensorNamespace.TensorProto.Builder mergeSegment(TensorNamespace.TensorProto.Segment value)
.org.nd4j.ir.TensorProto.Segment segment = 3;
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clearSegment
public TensorNamespace.TensorProto.Builder clearSegment()
.org.nd4j.ir.TensorProto.Segment segment = 3;
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getSegmentBuilder
public TensorNamespace.TensorProto.Segment.Builder getSegmentBuilder()
.org.nd4j.ir.TensorProto.Segment segment = 3;
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getSegmentOrBuilder
public TensorNamespace.TensorProto.SegmentOrBuilder getSegmentOrBuilder()
.org.nd4j.ir.TensorProto.Segment segment = 3;
- Specified by:
getSegmentOrBuilder
in interfaceTensorNamespace.TensorProtoOrBuilder
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getFloatDataList
public List<Float> getFloatDataList()
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
repeated float float_data = 4 [packed = true];
- Specified by:
getFloatDataList
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- A list containing the floatData.
-
getFloatDataCount
public int getFloatDataCount()
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
repeated float float_data = 4 [packed = true];
- Specified by:
getFloatDataCount
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The count of floatData.
-
getFloatData
public float getFloatData(int index)
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
repeated float float_data = 4 [packed = true];
- Specified by:
getFloatData
in interfaceTensorNamespace.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The floatData at the given index.
-
setFloatData
public TensorNamespace.TensorProto.Builder setFloatData(int index, float value)
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
repeated float float_data = 4 [packed = true];
- Parameters:
index
- The index to set the value at.value
- The floatData to set.- Returns:
- This builder for chaining.
-
addFloatData
public TensorNamespace.TensorProto.Builder addFloatData(float value)
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
repeated float float_data = 4 [packed = true];
- Parameters:
value
- The floatData to add.- Returns:
- This builder for chaining.
-
addAllFloatData
public TensorNamespace.TensorProto.Builder addAllFloatData(Iterable<? extends Float> values)
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
repeated float float_data = 4 [packed = true];
- Parameters:
values
- The floatData to add.- Returns:
- This builder for chaining.
-
clearFloatData
public TensorNamespace.TensorProto.Builder clearFloatData()
For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
repeated float float_data = 4 [packed = true];
- Returns:
- This builder for chaining.
-
getInt32DataList
public List<Integer> getInt32DataList()
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer. When this field is present, the data_type field MUST be INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
repeated int32 int32_data = 5 [packed = true];
- Specified by:
getInt32DataList
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- A list containing the int32Data.
-
getInt32DataCount
public int getInt32DataCount()
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer. When this field is present, the data_type field MUST be INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
repeated int32 int32_data = 5 [packed = true];
- Specified by:
getInt32DataCount
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The count of int32Data.
-
getInt32Data
public int getInt32Data(int index)
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer. When this field is present, the data_type field MUST be INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
repeated int32 int32_data = 5 [packed = true];
- Specified by:
getInt32Data
in interfaceTensorNamespace.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The int32Data at the given index.
-
setInt32Data
public TensorNamespace.TensorProto.Builder setInt32Data(int index, int value)
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer. When this field is present, the data_type field MUST be INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
repeated int32 int32_data = 5 [packed = true];
- Parameters:
index
- The index to set the value at.value
- The int32Data to set.- Returns:
- This builder for chaining.
-
addInt32Data
public TensorNamespace.TensorProto.Builder addInt32Data(int value)
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer. When this field is present, the data_type field MUST be INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
repeated int32 int32_data = 5 [packed = true];
- Parameters:
value
- The int32Data to add.- Returns:
- This builder for chaining.
-
addAllInt32Data
public TensorNamespace.TensorProto.Builder addAllInt32Data(Iterable<? extends Integer> values)
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer. When this field is present, the data_type field MUST be INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
repeated int32 int32_data = 5 [packed = true];
- Parameters:
values
- The int32Data to add.- Returns:
- This builder for chaining.
-
clearInt32Data
public TensorNamespace.TensorProto.Builder clearInt32Data()
For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer. When this field is present, the data_type field MUST be INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
repeated int32 int32_data = 5 [packed = true];
- Returns:
- This builder for chaining.
-
getStringDataList
public List<org.nd4j.shade.protobuf.ByteString> getStringDataList()
For strings. Each element of string_data is a UTF-8 encoded Unicode string. No trailing null, no leading BOM. The protobuf "string" scalar type is not used to match ML community conventions. When this field is present, the data_type field MUST be STRING
repeated bytes string_data = 6;
- Specified by:
getStringDataList
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- A list containing the stringData.
-
getStringDataCount
public int getStringDataCount()
For strings. Each element of string_data is a UTF-8 encoded Unicode string. No trailing null, no leading BOM. The protobuf "string" scalar type is not used to match ML community conventions. When this field is present, the data_type field MUST be STRING
repeated bytes string_data = 6;
- Specified by:
getStringDataCount
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The count of stringData.
-
getStringData
public org.nd4j.shade.protobuf.ByteString getStringData(int index)
For strings. Each element of string_data is a UTF-8 encoded Unicode string. No trailing null, no leading BOM. The protobuf "string" scalar type is not used to match ML community conventions. When this field is present, the data_type field MUST be STRING
repeated bytes string_data = 6;
- Specified by:
getStringData
in interfaceTensorNamespace.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The stringData at the given index.
-
setStringData
public TensorNamespace.TensorProto.Builder setStringData(int index, org.nd4j.shade.protobuf.ByteString value)
For strings. Each element of string_data is a UTF-8 encoded Unicode string. No trailing null, no leading BOM. The protobuf "string" scalar type is not used to match ML community conventions. When this field is present, the data_type field MUST be STRING
repeated bytes string_data = 6;
- Parameters:
index
- The index to set the value at.value
- The stringData to set.- Returns:
- This builder for chaining.
-
addStringData
public TensorNamespace.TensorProto.Builder addStringData(org.nd4j.shade.protobuf.ByteString value)
For strings. Each element of string_data is a UTF-8 encoded Unicode string. No trailing null, no leading BOM. The protobuf "string" scalar type is not used to match ML community conventions. When this field is present, the data_type field MUST be STRING
repeated bytes string_data = 6;
- Parameters:
value
- The stringData to add.- Returns:
- This builder for chaining.
-
addAllStringData
public TensorNamespace.TensorProto.Builder addAllStringData(Iterable<? extends org.nd4j.shade.protobuf.ByteString> values)
For strings. Each element of string_data is a UTF-8 encoded Unicode string. No trailing null, no leading BOM. The protobuf "string" scalar type is not used to match ML community conventions. When this field is present, the data_type field MUST be STRING
repeated bytes string_data = 6;
- Parameters:
values
- The stringData to add.- Returns:
- This builder for chaining.
-
clearStringData
public TensorNamespace.TensorProto.Builder clearStringData()
For strings. Each element of string_data is a UTF-8 encoded Unicode string. No trailing null, no leading BOM. The protobuf "string" scalar type is not used to match ML community conventions. When this field is present, the data_type field MUST be STRING
repeated bytes string_data = 6;
- Returns:
- This builder for chaining.
-
getInt64DataList
public List<Long> getInt64DataList()
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];
- Specified by:
getInt64DataList
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- A list containing the int64Data.
-
getInt64DataCount
public int getInt64DataCount()
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];
- Specified by:
getInt64DataCount
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The count of int64Data.
-
getInt64Data
public long getInt64Data(int index)
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];
- Specified by:
getInt64Data
in interfaceTensorNamespace.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The int64Data at the given index.
-
setInt64Data
public TensorNamespace.TensorProto.Builder setInt64Data(int index, long value)
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];
- Parameters:
index
- The index to set the value at.value
- The int64Data to set.- Returns:
- This builder for chaining.
-
addInt64Data
public TensorNamespace.TensorProto.Builder addInt64Data(long value)
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];
- Parameters:
value
- The int64Data to add.- Returns:
- This builder for chaining.
-
addAllInt64Data
public TensorNamespace.TensorProto.Builder addAllInt64Data(Iterable<? extends Long> values)
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];
- Parameters:
values
- The int64Data to add.- Returns:
- This builder for chaining.
-
clearInt64Data
public TensorNamespace.TensorProto.Builder clearInt64Data()
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];
- Returns:
- This builder for chaining.
-
getName
public String getName()
Optionally, a name for the tensor.
string name = 8;
- Specified by:
getName
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The name.
-
getNameBytes
public org.nd4j.shade.protobuf.ByteString getNameBytes()
Optionally, a name for the tensor.
string name = 8;
- Specified by:
getNameBytes
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The bytes for name.
-
setName
public TensorNamespace.TensorProto.Builder setName(String value)
Optionally, a name for the tensor.
string name = 8;
- Parameters:
value
- The name to set.- Returns:
- This builder for chaining.
-
clearName
public TensorNamespace.TensorProto.Builder clearName()
Optionally, a name for the tensor.
string name = 8;
- Returns:
- This builder for chaining.
-
setNameBytes
public TensorNamespace.TensorProto.Builder setNameBytes(org.nd4j.shade.protobuf.ByteString value)
Optionally, a name for the tensor.
string name = 8;
- Parameters:
value
- The bytes for name to set.- Returns:
- This builder for chaining.
-
getDocString
public String getDocString()
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;
- Specified by:
getDocString
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The docString.
-
getDocStringBytes
public org.nd4j.shade.protobuf.ByteString getDocStringBytes()
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;
- Specified by:
getDocStringBytes
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The bytes for docString.
-
setDocString
public TensorNamespace.TensorProto.Builder setDocString(String value)
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;
- Parameters:
value
- The docString to set.- Returns:
- This builder for chaining.
-
clearDocString
public TensorNamespace.TensorProto.Builder clearDocString()
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;
- Returns:
- This builder for chaining.
-
setDocStringBytes
public TensorNamespace.TensorProto.Builder setDocStringBytes(org.nd4j.shade.protobuf.ByteString value)
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;
- Parameters:
value
- The bytes for docString to set.- Returns:
- This builder for chaining.
-
getRawData
public org.nd4j.shade.protobuf.ByteString getRawData()
Serializations can either use one of the fields above, or use this raw bytes field. The only exception is the string case, where one is required to store the content in the repeated bytes string_data field. When this raw_data field is used to store tensor value, elements MUST be stored in as fixed-width, little-endian order. Floating-point data types MUST be stored in IEEE 754 format. Complex64 elements must be written as two consecutive FLOAT values, real component first. Complex128 elements must be written as two consecutive DOUBLE values, real component first. Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false). Note: the advantage of specific field rather than the raw_data field is that in some cases (e.g. int data), protobuf does a better packing via variable length storage, and may lead to smaller binary footprint. When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
bytes raw_data = 9;
- Specified by:
getRawData
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The rawData.
-
setRawData
public TensorNamespace.TensorProto.Builder setRawData(org.nd4j.shade.protobuf.ByteString value)
Serializations can either use one of the fields above, or use this raw bytes field. The only exception is the string case, where one is required to store the content in the repeated bytes string_data field. When this raw_data field is used to store tensor value, elements MUST be stored in as fixed-width, little-endian order. Floating-point data types MUST be stored in IEEE 754 format. Complex64 elements must be written as two consecutive FLOAT values, real component first. Complex128 elements must be written as two consecutive DOUBLE values, real component first. Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false). Note: the advantage of specific field rather than the raw_data field is that in some cases (e.g. int data), protobuf does a better packing via variable length storage, and may lead to smaller binary footprint. When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
bytes raw_data = 9;
- Parameters:
value
- The rawData to set.- Returns:
- This builder for chaining.
-
clearRawData
public TensorNamespace.TensorProto.Builder clearRawData()
Serializations can either use one of the fields above, or use this raw bytes field. The only exception is the string case, where one is required to store the content in the repeated bytes string_data field. When this raw_data field is used to store tensor value, elements MUST be stored in as fixed-width, little-endian order. Floating-point data types MUST be stored in IEEE 754 format. Complex64 elements must be written as two consecutive FLOAT values, real component first. Complex128 elements must be written as two consecutive DOUBLE values, real component first. Boolean type MUST be written one byte per tensor element (00000001 for true, 00000000 for false). Note: the advantage of specific field rather than the raw_data field is that in some cases (e.g. int data), protobuf does a better packing via variable length storage, and may lead to smaller binary footprint. When this field is present, the data_type field MUST NOT be STRING or UNDEFINED
bytes raw_data = 9;
- Returns:
- This builder for chaining.
-
getExternalDataList
public List<TensorNamespace.StringStringEntryProto> getExternalDataList()
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
- Specified by:
getExternalDataList
in interfaceTensorNamespace.TensorProtoOrBuilder
-
getExternalDataCount
public int getExternalDataCount()
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
- Specified by:
getExternalDataCount
in interfaceTensorNamespace.TensorProtoOrBuilder
-
getExternalData
public TensorNamespace.StringStringEntryProto getExternalData(int index)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
- Specified by:
getExternalData
in interfaceTensorNamespace.TensorProtoOrBuilder
-
setExternalData
public TensorNamespace.TensorProto.Builder setExternalData(int index, TensorNamespace.StringStringEntryProto value)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
-
setExternalData
public TensorNamespace.TensorProto.Builder setExternalData(int index, TensorNamespace.StringStringEntryProto.Builder builderForValue)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
-
addExternalData
public TensorNamespace.TensorProto.Builder addExternalData(TensorNamespace.StringStringEntryProto value)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
-
addExternalData
public TensorNamespace.TensorProto.Builder addExternalData(int index, TensorNamespace.StringStringEntryProto value)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
-
addExternalData
public TensorNamespace.TensorProto.Builder addExternalData(TensorNamespace.StringStringEntryProto.Builder builderForValue)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
-
addExternalData
public TensorNamespace.TensorProto.Builder addExternalData(int index, TensorNamespace.StringStringEntryProto.Builder builderForValue)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
-
addAllExternalData
public TensorNamespace.TensorProto.Builder addAllExternalData(Iterable<? extends TensorNamespace.StringStringEntryProto> values)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
-
clearExternalData
public TensorNamespace.TensorProto.Builder clearExternalData()
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
-
removeExternalData
public TensorNamespace.TensorProto.Builder removeExternalData(int index)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
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getExternalDataBuilder
public TensorNamespace.StringStringEntryProto.Builder getExternalDataBuilder(int index)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
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getExternalDataOrBuilder
public TensorNamespace.StringStringEntryProtoOrBuilder getExternalDataOrBuilder(int index)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
- Specified by:
getExternalDataOrBuilder
in interfaceTensorNamespace.TensorProtoOrBuilder
-
getExternalDataOrBuilderList
public List<? extends TensorNamespace.StringStringEntryProtoOrBuilder> getExternalDataOrBuilderList()
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
- Specified by:
getExternalDataOrBuilderList
in interfaceTensorNamespace.TensorProtoOrBuilder
-
addExternalDataBuilder
public TensorNamespace.StringStringEntryProto.Builder addExternalDataBuilder()
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
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addExternalDataBuilder
public TensorNamespace.StringStringEntryProto.Builder addExternalDataBuilder(int index)
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
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getExternalDataBuilderList
public List<TensorNamespace.StringStringEntryProto.Builder> getExternalDataBuilderList()
Data can be stored inside the protobuf file using type-specific fields or raw_data. Alternatively, raw bytes data can be stored in an external file, using the external_data field. external_data stores key-value pairs describing data location. Recognized keys are: - "location" (required) - POSIX filesystem path relative to the directory where the ONNX protobuf model was stored - "offset" (optional) - position of byte at which stored data begins. Integer stored as string. Offset values SHOULD be multiples 4096 (page size) to enable mmap support. - "length" (optional) - number of bytes containing data. Integer stored as string. - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;
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getDataLocationValue
public int getDataLocationValue()
If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
.org.nd4j.ir.TensorProto.DataLocation data_location = 14;
- Specified by:
getDataLocationValue
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The enum numeric value on the wire for dataLocation.
-
setDataLocationValue
public TensorNamespace.TensorProto.Builder setDataLocationValue(int value)
If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
.org.nd4j.ir.TensorProto.DataLocation data_location = 14;
- Parameters:
value
- The enum numeric value on the wire for dataLocation to set.- Returns:
- This builder for chaining.
-
getDataLocation
public TensorNamespace.TensorProto.DataLocation getDataLocation()
If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
.org.nd4j.ir.TensorProto.DataLocation data_location = 14;
- Specified by:
getDataLocation
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The dataLocation.
-
setDataLocation
public TensorNamespace.TensorProto.Builder setDataLocation(TensorNamespace.TensorProto.DataLocation value)
If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
.org.nd4j.ir.TensorProto.DataLocation data_location = 14;
- Parameters:
value
- The dataLocation to set.- Returns:
- This builder for chaining.
-
clearDataLocation
public TensorNamespace.TensorProto.Builder clearDataLocation()
If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
.org.nd4j.ir.TensorProto.DataLocation data_location = 14;
- Returns:
- This builder for chaining.
-
getDoubleDataList
public List<Double> getDoubleDataList()
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
repeated double double_data = 10 [packed = true];
- Specified by:
getDoubleDataList
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- A list containing the doubleData.
-
getDoubleDataCount
public int getDoubleDataCount()
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
repeated double double_data = 10 [packed = true];
- Specified by:
getDoubleDataCount
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The count of doubleData.
-
getDoubleData
public double getDoubleData(int index)
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
repeated double double_data = 10 [packed = true];
- Specified by:
getDoubleData
in interfaceTensorNamespace.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The doubleData at the given index.
-
setDoubleData
public TensorNamespace.TensorProto.Builder setDoubleData(int index, double value)
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
repeated double double_data = 10 [packed = true];
- Parameters:
index
- The index to set the value at.value
- The doubleData to set.- Returns:
- This builder for chaining.
-
addDoubleData
public TensorNamespace.TensorProto.Builder addDoubleData(double value)
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
repeated double double_data = 10 [packed = true];
- Parameters:
value
- The doubleData to add.- Returns:
- This builder for chaining.
-
addAllDoubleData
public TensorNamespace.TensorProto.Builder addAllDoubleData(Iterable<? extends Double> values)
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
repeated double double_data = 10 [packed = true];
- Parameters:
values
- The doubleData to add.- Returns:
- This builder for chaining.
-
clearDoubleData
public TensorNamespace.TensorProto.Builder clearDoubleData()
For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i] is encoded as [1.0, 2.0 ,3.0 ,4.0] When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
repeated double double_data = 10 [packed = true];
- Returns:
- This builder for chaining.
-
getUint64DataList
public List<Long> getUint64DataList()
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
repeated uint64 uint64_data = 11 [packed = true];
- Specified by:
getUint64DataList
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- A list containing the uint64Data.
-
getUint64DataCount
public int getUint64DataCount()
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
repeated uint64 uint64_data = 11 [packed = true];
- Specified by:
getUint64DataCount
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The count of uint64Data.
-
getUint64Data
public long getUint64Data(int index)
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
repeated uint64 uint64_data = 11 [packed = true];
- Specified by:
getUint64Data
in interfaceTensorNamespace.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The uint64Data at the given index.
-
setUint64Data
public TensorNamespace.TensorProto.Builder setUint64Data(int index, long value)
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
repeated uint64 uint64_data = 11 [packed = true];
- Parameters:
index
- The index to set the value at.value
- The uint64Data to set.- Returns:
- This builder for chaining.
-
addUint64Data
public TensorNamespace.TensorProto.Builder addUint64Data(long value)
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
repeated uint64 uint64_data = 11 [packed = true];
- Parameters:
value
- The uint64Data to add.- Returns:
- This builder for chaining.
-
addAllUint64Data
public TensorNamespace.TensorProto.Builder addAllUint64Data(Iterable<? extends Long> values)
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
repeated uint64 uint64_data = 11 [packed = true];
- Parameters:
values
- The uint64Data to add.- Returns:
- This builder for chaining.
-
clearUint64Data
public TensorNamespace.TensorProto.Builder clearUint64Data()
For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or UINT64
repeated uint64 uint64_data = 11 [packed = true];
- Returns:
- This builder for chaining.
-
getHalfValList
public List<Integer> getHalfValList()
For half values (tensorflow compatibility)
repeated int32 half_val = 15 [packed = true];
- Specified by:
getHalfValList
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- A list containing the halfVal.
-
getHalfValCount
public int getHalfValCount()
For half values (tensorflow compatibility)
repeated int32 half_val = 15 [packed = true];
- Specified by:
getHalfValCount
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The count of halfVal.
-
getHalfVal
public int getHalfVal(int index)
For half values (tensorflow compatibility)
repeated int32 half_val = 15 [packed = true];
- Specified by:
getHalfVal
in interfaceTensorNamespace.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The halfVal at the given index.
-
setHalfVal
public TensorNamespace.TensorProto.Builder setHalfVal(int index, int value)
For half values (tensorflow compatibility)
repeated int32 half_val = 15 [packed = true];
- Parameters:
index
- The index to set the value at.value
- The halfVal to set.- Returns:
- This builder for chaining.
-
addHalfVal
public TensorNamespace.TensorProto.Builder addHalfVal(int value)
For half values (tensorflow compatibility)
repeated int32 half_val = 15 [packed = true];
- Parameters:
value
- The halfVal to add.- Returns:
- This builder for chaining.
-
addAllHalfVal
public TensorNamespace.TensorProto.Builder addAllHalfVal(Iterable<? extends Integer> values)
For half values (tensorflow compatibility)
repeated int32 half_val = 15 [packed = true];
- Parameters:
values
- The halfVal to add.- Returns:
- This builder for chaining.
-
clearHalfVal
public TensorNamespace.TensorProto.Builder clearHalfVal()
For half values (tensorflow compatibility)
repeated int32 half_val = 15 [packed = true];
- Returns:
- This builder for chaining.
-
getBoolValList
public List<Boolean> getBoolValList()
boolean values
repeated bool bool_val = 16 [packed = true];
- Specified by:
getBoolValList
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- A list containing the boolVal.
-
getBoolValCount
public int getBoolValCount()
boolean values
repeated bool bool_val = 16 [packed = true];
- Specified by:
getBoolValCount
in interfaceTensorNamespace.TensorProtoOrBuilder
- Returns:
- The count of boolVal.
-
getBoolVal
public boolean getBoolVal(int index)
boolean values
repeated bool bool_val = 16 [packed = true];
- Specified by:
getBoolVal
in interfaceTensorNamespace.TensorProtoOrBuilder
- Parameters:
index
- The index of the element to return.- Returns:
- The boolVal at the given index.
-
setBoolVal
public TensorNamespace.TensorProto.Builder setBoolVal(int index, boolean value)
boolean values
repeated bool bool_val = 16 [packed = true];
- Parameters:
index
- The index to set the value at.value
- The boolVal to set.- Returns:
- This builder for chaining.
-
addBoolVal
public TensorNamespace.TensorProto.Builder addBoolVal(boolean value)
boolean values
repeated bool bool_val = 16 [packed = true];
- Parameters:
value
- The boolVal to add.- Returns:
- This builder for chaining.
-
addAllBoolVal
public TensorNamespace.TensorProto.Builder addAllBoolVal(Iterable<? extends Boolean> values)
boolean values
repeated bool bool_val = 16 [packed = true];
- Parameters:
values
- The boolVal to add.- Returns:
- This builder for chaining.
-
clearBoolVal
public TensorNamespace.TensorProto.Builder clearBoolVal()
boolean values
repeated bool bool_val = 16 [packed = true];
- Returns:
- This builder for chaining.
-
setUnknownFields
public final TensorNamespace.TensorProto.Builder setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
- Specified by:
setUnknownFields
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Overrides:
setUnknownFields
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
-
mergeUnknownFields
public final TensorNamespace.TensorProto.Builder mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
- Specified by:
mergeUnknownFields
in interfaceorg.nd4j.shade.protobuf.Message.Builder
- Overrides:
mergeUnknownFields
in classorg.nd4j.shade.protobuf.GeneratedMessageV3.Builder<TensorNamespace.TensorProto.Builder>
-
-