public static final class OnnxMl.TensorProto.Builder extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder> implements OnnxMl.TensorProtoOrBuilder
A message defined to store a tensor in its serialized format.Protobuf type
onnx.TensorProto| Modifier and Type | Method and Description |
|---|---|
OnnxMl.TensorProto.Builder |
addAllDims(Iterable<? extends Long> values)
The shape of the tensor.
|
OnnxMl.TensorProto.Builder |
addAllDoubleData(Iterable<? extends Double> values)
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
|
OnnxMl.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 apparing in the
subsequent even numbered position.
|
OnnxMl.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.
|
OnnxMl.TensorProto.Builder |
addAllInt64Data(Iterable<? extends Long> values)
For int64.
|
OnnxMl.TensorProto.Builder |
addAllStringData(Iterable<? extends org.nd4j.shade.protobuf.ByteString> values)
For strings.
|
OnnxMl.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
|
OnnxMl.TensorProto.Builder |
addDims(long value)
The shape of the tensor.
|
OnnxMl.TensorProto.Builder |
addDoubleData(double value)
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
|
OnnxMl.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 apparing in the
subsequent even numbered position.
|
OnnxMl.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.
|
OnnxMl.TensorProto.Builder |
addInt64Data(long value)
For int64.
|
OnnxMl.TensorProto.Builder |
addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
Object value) |
OnnxMl.TensorProto.Builder |
addStringData(org.nd4j.shade.protobuf.ByteString value)
For strings.
|
OnnxMl.TensorProto.Builder |
addUint64Data(long value)
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
|
OnnxMl.TensorProto |
build() |
OnnxMl.TensorProto |
buildPartial() |
OnnxMl.TensorProto.Builder |
clear() |
OnnxMl.TensorProto.Builder |
clearDataType()
The data type of the tensor.
|
OnnxMl.TensorProto.Builder |
clearDims()
The shape of the tensor.
|
OnnxMl.TensorProto.Builder |
clearDocString()
A human-readable documentation for this tensor.
|
OnnxMl.TensorProto.Builder |
clearDoubleData()
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
|
OnnxMl.TensorProto.Builder |
clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field) |
OnnxMl.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 apparing in the
subsequent even numbered position.
|
OnnxMl.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.
|
OnnxMl.TensorProto.Builder |
clearInt64Data()
For int64.
|
OnnxMl.TensorProto.Builder |
clearName()
Optionally, a name for the tensor.
|
OnnxMl.TensorProto.Builder |
clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof) |
OnnxMl.TensorProto.Builder |
clearRawData()
Serializations can either use one of the fields above, or use this
raw bytes field.
|
OnnxMl.TensorProto.Builder |
clearSegment()
.onnx.TensorProto.Segment segment = 3; |
OnnxMl.TensorProto.Builder |
clearStringData()
For strings.
|
OnnxMl.TensorProto.Builder |
clearUint64Data()
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
|
OnnxMl.TensorProto.Builder |
clone() |
OnnxMl.TensorProto.DataType |
getDataType()
The data type of the tensor.
|
int |
getDataTypeValue()
The data type of the tensor.
|
OnnxMl.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
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
|
int |
getDoubleDataCount()
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
|
List<Double> |
getDoubleDataList()
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
|
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 apparing 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 apparing 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 apparing in the
subsequent even numbered position.
|
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.
|
OnnxMl.TensorProto.Segment |
getSegment()
.onnx.TensorProto.Segment segment = 3; |
OnnxMl.TensorProto.Segment.Builder |
getSegmentBuilder()
.onnx.TensorProto.Segment segment = 3; |
OnnxMl.TensorProto.SegmentOrBuilder |
getSegmentOrBuilder()
.onnx.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 UINT64
|
int |
getUint64DataCount()
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
|
List<Long> |
getUint64DataList()
For uint64 and uint32 values
When this field is present, the data_type field MUST be
UINT32 or UINT64
|
boolean |
hasSegment()
.onnx.TensorProto.Segment segment = 3; |
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
OnnxMl.TensorProto.Builder |
mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
OnnxMl.TensorProto.Builder |
mergeFrom(org.nd4j.shade.protobuf.Message other) |
OnnxMl.TensorProto.Builder |
mergeFrom(OnnxMl.TensorProto other) |
OnnxMl.TensorProto.Builder |
mergeSegment(OnnxMl.TensorProto.Segment value)
.onnx.TensorProto.Segment segment = 3; |
OnnxMl.TensorProto.Builder |
mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) |
OnnxMl.TensorProto.Builder |
setDataType(OnnxMl.TensorProto.DataType value)
The data type of the tensor.
|
OnnxMl.TensorProto.Builder |
setDataTypeValue(int value)
The data type of the tensor.
|
OnnxMl.TensorProto.Builder |
setDims(int index,
long value)
The shape of the tensor.
|
OnnxMl.TensorProto.Builder |
setDocString(String value)
A human-readable documentation for this tensor.
|
OnnxMl.TensorProto.Builder |
setDocStringBytes(org.nd4j.shade.protobuf.ByteString value)
A human-readable documentation for this tensor.
|
OnnxMl.TensorProto.Builder |
setDoubleData(int index,
double value)
For double
Complex64 tensors are encoded as a single array of doubles,
with the real components appearing in odd numbered positions,
and the corresponding imaginary component apparing in the
subsequent even numbered position.
|
OnnxMl.TensorProto.Builder |
setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
Object value) |
OnnxMl.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 apparing in the
subsequent even numbered position.
|
OnnxMl.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.
|
OnnxMl.TensorProto.Builder |
setInt64Data(int index,
long value)
For int64.
|
OnnxMl.TensorProto.Builder |
setName(String value)
Optionally, a name for the tensor.
|
OnnxMl.TensorProto.Builder |
setNameBytes(org.nd4j.shade.protobuf.ByteString value)
Optionally, a name for the tensor.
|
OnnxMl.TensorProto.Builder |
setRawData(org.nd4j.shade.protobuf.ByteString value)
Serializations can either use one of the fields above, or use this
raw bytes field.
|
OnnxMl.TensorProto.Builder |
setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
OnnxMl.TensorProto.Builder |
setSegment(OnnxMl.TensorProto.Segment.Builder builderForValue)
.onnx.TensorProto.Segment segment = 3; |
OnnxMl.TensorProto.Builder |
setSegment(OnnxMl.TensorProto.Segment value)
.onnx.TensorProto.Segment segment = 3; |
OnnxMl.TensorProto.Builder |
setStringData(int index,
org.nd4j.shade.protobuf.ByteString value)
For strings.
|
OnnxMl.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
|
OnnxMl.TensorProto.Builder |
setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields) |
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMutableMapField, isClean, markClean, newBuilderForField, onBuilt, onChanged, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeDelimitedFrom, mergeDelimitedFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>public OnnxMl.TensorProto.Builder clear()
clear in interface org.nd4j.shade.protobuf.Message.Builderclear in interface org.nd4j.shade.protobuf.MessageLite.Builderclear in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface org.nd4j.shade.protobuf.Message.BuildergetDescriptorForType in interface org.nd4j.shade.protobuf.MessageOrBuildergetDescriptorForType in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>public OnnxMl.TensorProto getDefaultInstanceForType()
getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilderpublic OnnxMl.TensorProto build()
build in interface org.nd4j.shade.protobuf.Message.Builderbuild in interface org.nd4j.shade.protobuf.MessageLite.Builderpublic OnnxMl.TensorProto buildPartial()
buildPartial in interface org.nd4j.shade.protobuf.Message.BuilderbuildPartial in interface org.nd4j.shade.protobuf.MessageLite.Builderpublic OnnxMl.TensorProto.Builder clone()
clone in interface org.nd4j.shade.protobuf.Message.Builderclone in interface org.nd4j.shade.protobuf.MessageLite.Builderclone in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>public OnnxMl.TensorProto.Builder setField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface org.nd4j.shade.protobuf.Message.BuildersetField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>public OnnxMl.TensorProto.Builder clearField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
clearField in interface org.nd4j.shade.protobuf.Message.BuilderclearField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>public OnnxMl.TensorProto.Builder clearOneof(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface org.nd4j.shade.protobuf.Message.BuilderclearOneof in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>public OnnxMl.TensorProto.Builder setRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface org.nd4j.shade.protobuf.Message.BuildersetRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>public OnnxMl.TensorProto.Builder addRepeatedField(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface org.nd4j.shade.protobuf.Message.BuilderaddRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>public OnnxMl.TensorProto.Builder mergeFrom(org.nd4j.shade.protobuf.Message other)
mergeFrom in interface org.nd4j.shade.protobuf.Message.BuildermergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<OnnxMl.TensorProto.Builder>public OnnxMl.TensorProto.Builder mergeFrom(OnnxMl.TensorProto other)
public final boolean isInitialized()
isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilderisInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>public OnnxMl.TensorProto.Builder mergeFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface org.nd4j.shade.protobuf.Message.BuildermergeFrom in interface org.nd4j.shade.protobuf.MessageLite.BuildermergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<OnnxMl.TensorProto.Builder>IOExceptionpublic List<Long> getDimsList()
The shape of the tensor.
repeated int64 dims = 1;getDimsList in interface OnnxMl.TensorProtoOrBuilderpublic int getDimsCount()
The shape of the tensor.
repeated int64 dims = 1;getDimsCount in interface OnnxMl.TensorProtoOrBuilderpublic long getDims(int index)
The shape of the tensor.
repeated int64 dims = 1;getDims in interface OnnxMl.TensorProtoOrBuilderindex - The index of the element to return.public OnnxMl.TensorProto.Builder setDims(int index, long value)
The shape of the tensor.
repeated int64 dims = 1;index - The index to set the value at.value - The dims to set.public OnnxMl.TensorProto.Builder addDims(long value)
The shape of the tensor.
repeated int64 dims = 1;value - The dims to add.public OnnxMl.TensorProto.Builder addAllDims(Iterable<? extends Long> values)
The shape of the tensor.
repeated int64 dims = 1;values - The dims to add.public OnnxMl.TensorProto.Builder clearDims()
The shape of the tensor.
repeated int64 dims = 1;public int getDataTypeValue()
The data type of the tensor.
.onnx.TensorProto.DataType data_type = 2;getDataTypeValue in interface OnnxMl.TensorProtoOrBuilderpublic OnnxMl.TensorProto.Builder setDataTypeValue(int value)
The data type of the tensor.
.onnx.TensorProto.DataType data_type = 2;value - The enum numeric value on the wire for dataType to set.public OnnxMl.TensorProto.DataType getDataType()
The data type of the tensor.
.onnx.TensorProto.DataType data_type = 2;getDataType in interface OnnxMl.TensorProtoOrBuilderpublic OnnxMl.TensorProto.Builder setDataType(OnnxMl.TensorProto.DataType value)
The data type of the tensor.
.onnx.TensorProto.DataType data_type = 2;value - The dataType to set.public OnnxMl.TensorProto.Builder clearDataType()
The data type of the tensor.
.onnx.TensorProto.DataType data_type = 2;public boolean hasSegment()
.onnx.TensorProto.Segment segment = 3;hasSegment in interface OnnxMl.TensorProtoOrBuilderpublic OnnxMl.TensorProto.Segment getSegment()
.onnx.TensorProto.Segment segment = 3;getSegment in interface OnnxMl.TensorProtoOrBuilderpublic OnnxMl.TensorProto.Builder setSegment(OnnxMl.TensorProto.Segment value)
.onnx.TensorProto.Segment segment = 3;public OnnxMl.TensorProto.Builder setSegment(OnnxMl.TensorProto.Segment.Builder builderForValue)
.onnx.TensorProto.Segment segment = 3;public OnnxMl.TensorProto.Builder mergeSegment(OnnxMl.TensorProto.Segment value)
.onnx.TensorProto.Segment segment = 3;public OnnxMl.TensorProto.Builder clearSegment()
.onnx.TensorProto.Segment segment = 3;public OnnxMl.TensorProto.Segment.Builder getSegmentBuilder()
.onnx.TensorProto.Segment segment = 3;public OnnxMl.TensorProto.SegmentOrBuilder getSegmentOrBuilder()
.onnx.TensorProto.Segment segment = 3;getSegmentOrBuilder in interface OnnxMl.TensorProtoOrBuilderpublic 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 apparing 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];getFloatDataList in interface OnnxMl.TensorProtoOrBuilderpublic 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 apparing 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];getFloatDataCount in interface OnnxMl.TensorProtoOrBuilderpublic 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 apparing 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];getFloatData in interface OnnxMl.TensorProtoOrBuilderindex - The index of the element to return.public OnnxMl.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 apparing 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];index - The index to set the value at.value - The floatData to set.public OnnxMl.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 apparing 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];value - The floatData to add.public OnnxMl.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 apparing 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];values - The floatData to add.public OnnxMl.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 apparing 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];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, INT8, BOOL, or FLOAT32
repeated int32 int32_data = 5 [packed = true];getInt32DataList in interface OnnxMl.TensorProtoOrBuilderpublic 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, INT8, BOOL, or FLOAT32
repeated int32 int32_data = 5 [packed = true];getInt32DataCount in interface OnnxMl.TensorProtoOrBuilderpublic 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, INT8, BOOL, or FLOAT32
repeated int32 int32_data = 5 [packed = true];getInt32Data in interface OnnxMl.TensorProtoOrBuilderindex - The index of the element to return.public OnnxMl.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, INT8, BOOL, or FLOAT32
repeated int32 int32_data = 5 [packed = true];index - The index to set the value at.value - The int32Data to set.public OnnxMl.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, INT8, BOOL, or FLOAT32
repeated int32 int32_data = 5 [packed = true];value - The int32Data to add.public OnnxMl.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, INT8, BOOL, or FLOAT32
repeated int32 int32_data = 5 [packed = true];values - The int32Data to add.public OnnxMl.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, INT8, BOOL, or FLOAT32
repeated int32 int32_data = 5 [packed = true];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;getStringDataList in interface OnnxMl.TensorProtoOrBuilderpublic 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;getStringDataCount in interface OnnxMl.TensorProtoOrBuilderpublic 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;getStringData in interface OnnxMl.TensorProtoOrBuilderindex - The index of the element to return.public OnnxMl.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;index - The index to set the value at.value - The stringData to set.public OnnxMl.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;value - The stringData to add.public OnnxMl.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;values - The stringData to add.public OnnxMl.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;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];getInt64DataList in interface OnnxMl.TensorProtoOrBuilderpublic int getInt64DataCount()
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];getInt64DataCount in interface OnnxMl.TensorProtoOrBuilderpublic 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];getInt64Data in interface OnnxMl.TensorProtoOrBuilderindex - The index of the element to return.public OnnxMl.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];index - The index to set the value at.value - The int64Data to set.public OnnxMl.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];value - The int64Data to add.public OnnxMl.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];values - The int64Data to add.public OnnxMl.TensorProto.Builder clearInt64Data()
For int64. When this field is present, the data_type field MUST be INT64
repeated int64 int64_data = 7 [packed = true];public String getName()
Optionally, a name for the tensor.
string name = 8;getName in interface OnnxMl.TensorProtoOrBuilderpublic org.nd4j.shade.protobuf.ByteString getNameBytes()
Optionally, a name for the tensor.
string name = 8;getNameBytes in interface OnnxMl.TensorProtoOrBuilderpublic OnnxMl.TensorProto.Builder setName(String value)
Optionally, a name for the tensor.
string name = 8;value - The name to set.public OnnxMl.TensorProto.Builder clearName()
Optionally, a name for the tensor.
string name = 8;public OnnxMl.TensorProto.Builder setNameBytes(org.nd4j.shade.protobuf.ByteString value)
Optionally, a name for the tensor.
string name = 8;value - The bytes for name to set.public String getDocString()
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;getDocString in interface OnnxMl.TensorProtoOrBuilderpublic org.nd4j.shade.protobuf.ByteString getDocStringBytes()
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;getDocStringBytes in interface OnnxMl.TensorProtoOrBuilderpublic OnnxMl.TensorProto.Builder setDocString(String value)
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;value - The docString to set.public OnnxMl.TensorProto.Builder clearDocString()
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;public OnnxMl.TensorProto.Builder setDocStringBytes(org.nd4j.shade.protobuf.ByteString value)
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;value - The bytes for docString to set.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;getRawData in interface OnnxMl.TensorProtoOrBuilderpublic OnnxMl.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;value - The rawData to set.public OnnxMl.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;public List<Double> getDoubleDataList()
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing 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];getDoubleDataList in interface OnnxMl.TensorProtoOrBuilderpublic int getDoubleDataCount()
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing 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];getDoubleDataCount in interface OnnxMl.TensorProtoOrBuilderpublic double getDoubleData(int index)
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing 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];getDoubleData in interface OnnxMl.TensorProtoOrBuilderindex - The index of the element to return.public OnnxMl.TensorProto.Builder setDoubleData(int index, double value)
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing 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];index - The index to set the value at.value - The doubleData to set.public OnnxMl.TensorProto.Builder addDoubleData(double value)
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing 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];value - The doubleData to add.public OnnxMl.TensorProto.Builder addAllDoubleData(Iterable<? extends Double> values)
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing 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];values - The doubleData to add.public OnnxMl.TensorProto.Builder clearDoubleData()
For double Complex64 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component apparing 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];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];getUint64DataList in interface OnnxMl.TensorProtoOrBuilderpublic 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];getUint64DataCount in interface OnnxMl.TensorProtoOrBuilderpublic 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];getUint64Data in interface OnnxMl.TensorProtoOrBuilderindex - The index of the element to return.public OnnxMl.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];index - The index to set the value at.value - The uint64Data to set.public OnnxMl.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];value - The uint64Data to add.public OnnxMl.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];values - The uint64Data to add.public OnnxMl.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];public final OnnxMl.TensorProto.Builder setUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface org.nd4j.shade.protobuf.Message.BuildersetUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>public final OnnxMl.TensorProto.Builder mergeUnknownFields(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface org.nd4j.shade.protobuf.Message.BuildermergeUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<OnnxMl.TensorProto.Builder>Copyright © 2022. All rights reserved.