onnx

Class OnnxMl.TensorProto

java.lang.Object

org.nd4j.shade.protobuf.AbstractMessageLite

org.nd4j.shade.protobuf.AbstractMessage

org.nd4j.shade.protobuf.GeneratedMessageV3

onnx.OnnxMl.TensorProto

All Implemented Interfaces:

Serializable, OnnxMl.TensorProtoOrBuilder, org.nd4j.shade.protobuf.Message, org.nd4j.shade.protobuf.MessageLite, org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder

Enclosing class:

OnnxMl

public static final class OnnxMl.TensorProto
extends org.nd4j.shade.protobuf.GeneratedMessageV3
implements OnnxMl.TensorProtoOrBuilder

 A message defined to store a tensor in its serialized format.
 

Protobuf type onnx.TensorProto

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	OnnxMl.TensorProto.Builder A message defined to store a tensor in its serialized format.
static class	OnnxMl.TensorProto.DataType Protobuf enum onnx.TensorProto.DataType
static class	OnnxMl.TensorProto.Segment For very large tensors, we may want to store them in chunks, in which case the following fields will specify the segment that is stored in the current TensorProto.
static interface	OnnxMl.TensorProto.SegmentOrBuilder

Nested classes/interfaces inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3

org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage,BuilderType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends org.nd4j.shade.protobuf.GeneratedMessageV3.ExtendableMessage>, org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable, org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter

Nested classes/interfaces inherited from class org.nd4j.shade.protobuf.AbstractMessageLite

org.nd4j.shade.protobuf.AbstractMessageLite.InternalOneOfEnum

Field Summary

Fields

Modifier and Type	Field and Description
static int	DATA_TYPE_FIELD_NUMBER
static int	DIMS_FIELD_NUMBER
static int	DOC_STRING_FIELD_NUMBER
static int	DOUBLE_DATA_FIELD_NUMBER
static int	FLOAT_DATA_FIELD_NUMBER
static int	INT32_DATA_FIELD_NUMBER
static int	INT64_DATA_FIELD_NUMBER
static int	NAME_FIELD_NUMBER
static int	RAW_DATA_FIELD_NUMBER
static int	SEGMENT_FIELD_NUMBER
static int	STRING_DATA_FIELD_NUMBER
static int	UINT64_DATA_FIELD_NUMBER

Fields inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3

alwaysUseFieldBuilders, unknownFields

Fields inherited from class org.nd4j.shade.protobuf.AbstractMessage

memoizedSize

Fields inherited from class org.nd4j.shade.protobuf.AbstractMessageLite

memoizedHashCode

Method Summary

Modifier and Type	Method and Description
boolean	equals(Object obj)
OnnxMl.TensorProto.DataType	getDataType() The data type of the tensor.
int	getDataTypeValue() The data type of the tensor.
static OnnxMl.TensorProto	getDefaultInstance()
OnnxMl.TensorProto	getDefaultInstanceForType()
static org.nd4j.shade.protobuf.Descriptors.Descriptor	getDescriptor()
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.Parser<OnnxMl.TensorProto>	getParserForType()
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.SegmentOrBuilder	getSegmentOrBuilder() .onnx.TensorProto.Segment segment = 3;
int	getSerializedSize()
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
org.nd4j.shade.protobuf.UnknownFieldSet	getUnknownFields()
int	hashCode()
boolean	hasSegment() .onnx.TensorProto.Segment segment = 3;
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
static OnnxMl.TensorProto.Builder	newBuilder()
static OnnxMl.TensorProto.Builder	newBuilder(OnnxMl.TensorProto prototype)
OnnxMl.TensorProto.Builder	newBuilderForType()
protected OnnxMl.TensorProto.Builder	newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
protected Object	newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
static OnnxMl.TensorProto	parseDelimitedFrom(InputStream input)
static OnnxMl.TensorProto	parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.TensorProto	parseFrom(byte[] data)
static OnnxMl.TensorProto	parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.TensorProto	parseFrom(ByteBuffer data)
static OnnxMl.TensorProto	parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.TensorProto	parseFrom(org.nd4j.shade.protobuf.ByteString data)
static OnnxMl.TensorProto	parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.TensorProto	parseFrom(org.nd4j.shade.protobuf.CodedInputStream input)
static OnnxMl.TensorProto	parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static OnnxMl.TensorProto	parseFrom(InputStream input)
static OnnxMl.TensorProto	parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static org.nd4j.shade.protobuf.Parser<OnnxMl.TensorProto>	parser()
OnnxMl.TensorProto.Builder	toBuilder()
void	writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)

Methods inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3

canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, internalGetMapField, makeExtensionsImmutable, mergeFromAndMakeImmutableInternal, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag

Methods inherited from class org.nd4j.shade.protobuf.AbstractMessage

findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString

Methods inherited from class org.nd4j.shade.protobuf.AbstractMessageLite

addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.nd4j.shade.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof

Methods inherited from interface org.nd4j.shade.protobuf.MessageLite

toByteArray, toByteString, writeDelimitedTo, writeTo

Field Detail

DIMS_FIELD_NUMBER

public static final int DIMS_FIELD_NUMBER

See Also:

Constant Field Values

DATA_TYPE_FIELD_NUMBER

public static final int DATA_TYPE_FIELD_NUMBER

See Also:

Constant Field Values

SEGMENT_FIELD_NUMBER

public static final int SEGMENT_FIELD_NUMBER

See Also:

Constant Field Values

FLOAT_DATA_FIELD_NUMBER

public static final int FLOAT_DATA_FIELD_NUMBER

See Also:

Constant Field Values

INT32_DATA_FIELD_NUMBER

public static final int INT32_DATA_FIELD_NUMBER

See Also:

Constant Field Values

STRING_DATA_FIELD_NUMBER

public static final int STRING_DATA_FIELD_NUMBER

See Also:

Constant Field Values

INT64_DATA_FIELD_NUMBER

public static final int INT64_DATA_FIELD_NUMBER

See Also:

Constant Field Values

NAME_FIELD_NUMBER

public static final int NAME_FIELD_NUMBER

See Also:

Constant Field Values

DOC_STRING_FIELD_NUMBER

public static final int DOC_STRING_FIELD_NUMBER

See Also:

Constant Field Values

RAW_DATA_FIELD_NUMBER

public static final int RAW_DATA_FIELD_NUMBER

See Also:

Constant Field Values

DOUBLE_DATA_FIELD_NUMBER

public static final int DOUBLE_DATA_FIELD_NUMBER

See Also:

Constant Field Values

UINT64_DATA_FIELD_NUMBER

public static final int UINT64_DATA_FIELD_NUMBER

See Also:

Constant Field Values

Method Detail

newInstance

protected Object newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)

Overrides:

newInstance in class org.nd4j.shade.protobuf.GeneratedMessageV3

getUnknownFields

public final org.nd4j.shade.protobuf.UnknownFieldSet getUnknownFields()

Specified by:

getUnknownFields in interface org.nd4j.shade.protobuf.MessageOrBuilder

Overrides:

getUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3

getDescriptor

public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3

getDimsList

public List<Long> getDimsList()

 The shape of the tensor.
 

repeated int64 dims = 1;

Specified by:

getDimsList in interface OnnxMl.TensorProtoOrBuilder

Returns:

A list containing the dims.

getDimsCount

public int getDimsCount()

 The shape of the tensor.
 

repeated int64 dims = 1;

Specified by:

getDimsCount in interface OnnxMl.TensorProtoOrBuilder

Returns:

The count of dims.

getDims

public long getDims(int index)

 The shape of the tensor.
 

repeated int64 dims = 1;

Specified by:

getDims in interface OnnxMl.TensorProtoOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The dims at the given index.

getDataTypeValue

public int getDataTypeValue()

 The data type of the tensor.
 

.onnx.TensorProto.DataType data_type = 2;

Specified by:

getDataTypeValue in interface OnnxMl.TensorProtoOrBuilder

Returns:

The enum numeric value on the wire for dataType.

getDataType

public OnnxMl.TensorProto.DataType getDataType()

 The data type of the tensor.
 

.onnx.TensorProto.DataType data_type = 2;

Specified by:

getDataType in interface OnnxMl.TensorProtoOrBuilder

Returns:

The dataType.

hasSegment

public boolean hasSegment()

.onnx.TensorProto.Segment segment = 3;

Specified by:

hasSegment in interface OnnxMl.TensorProtoOrBuilder

Returns:

Whether the segment field is set.

getSegment

public OnnxMl.TensorProto.Segment getSegment()

.onnx.TensorProto.Segment segment = 3;

Specified by:

getSegment in interface OnnxMl.TensorProtoOrBuilder

Returns:

The segment.

getSegmentOrBuilder

public OnnxMl.TensorProto.SegmentOrBuilder getSegmentOrBuilder()

.onnx.TensorProto.Segment segment = 3;

Specified by:

getSegmentOrBuilder in interface OnnxMl.TensorProtoOrBuilder

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 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];

Specified by:

getFloatDataList in interface OnnxMl.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 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];

Specified by:

getFloatDataCount in interface OnnxMl.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 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];

Specified by:

getFloatData in interface OnnxMl.TensorProtoOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The floatData at the given index.

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, INT8, BOOL, or FLOAT32
 

repeated int32 int32_data = 5 [packed = true];

Specified by:

getInt32DataList in interface OnnxMl.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, INT8, BOOL, or FLOAT32
 

repeated int32 int32_data = 5 [packed = true];

Specified by:

getInt32DataCount in interface OnnxMl.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, INT8, BOOL, or FLOAT32
 

repeated int32 int32_data = 5 [packed = true];

Specified by:

getInt32Data in interface OnnxMl.TensorProtoOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The int32Data at the given index.

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 interface OnnxMl.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 interface OnnxMl.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 interface OnnxMl.TensorProtoOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The stringData at the given index.

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 interface OnnxMl.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 interface OnnxMl.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 interface OnnxMl.TensorProtoOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The int64Data at the given index.

getName

public String getName()

 Optionally, a name for the tensor.
 

string name = 8;

Specified by:

getName in interface OnnxMl.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 interface OnnxMl.TensorProtoOrBuilder

Returns:

The bytes for name.

getDocString

public String getDocString()

 A human-readable documentation for this tensor. Markdown is allowed.
 

string doc_string = 12;

Specified by:

getDocString in interface OnnxMl.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 interface OnnxMl.TensorProtoOrBuilder

Returns:

The bytes for docString.

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 interface OnnxMl.TensorProtoOrBuilder

Returns:

The rawData.

getDoubleDataList

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];

Specified by:

getDoubleDataList in interface OnnxMl.TensorProtoOrBuilder

Returns:

A list containing the doubleData.

getDoubleDataCount

public 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];

Specified by:

getDoubleDataCount in interface OnnxMl.TensorProtoOrBuilder

Returns:

The count of doubleData.

getDoubleData

public 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];

Specified by:

getDoubleData in interface OnnxMl.TensorProtoOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The doubleData at the given index.

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 interface OnnxMl.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 interface OnnxMl.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 interface OnnxMl.TensorProtoOrBuilder

Parameters:

index - The index of the element to return.

Returns:

The uint64Data at the given index.

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3

writeTo

public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
             throws IOException

Specified by:

writeTo in interface org.nd4j.shade.protobuf.MessageLite

Overrides:

writeTo in class org.nd4j.shade.protobuf.GeneratedMessageV3

Throws:

IOException

getSerializedSize

public int getSerializedSize()

Specified by:

getSerializedSize in interface org.nd4j.shade.protobuf.MessageLite

Overrides:

getSerializedSize in class org.nd4j.shade.protobuf.GeneratedMessageV3

equals

public boolean equals(Object obj)

Specified by:

equals in interface org.nd4j.shade.protobuf.Message

Overrides:

equals in class org.nd4j.shade.protobuf.AbstractMessage

hashCode

public int hashCode()

Specified by:

hashCode in interface org.nd4j.shade.protobuf.Message

Overrides:

hashCode in class org.nd4j.shade.protobuf.AbstractMessage

parseFrom

public static OnnxMl.TensorProto parseFrom(ByteBuffer data)
                                    throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static OnnxMl.TensorProto parseFrom(ByteBuffer data,
                                           org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static OnnxMl.TensorProto parseFrom(org.nd4j.shade.protobuf.ByteString data)
                                    throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static OnnxMl.TensorProto parseFrom(org.nd4j.shade.protobuf.ByteString data,
                                           org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static OnnxMl.TensorProto parseFrom(byte[] data)
                                    throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static OnnxMl.TensorProto parseFrom(byte[] data,
                                           org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws org.nd4j.shade.protobuf.InvalidProtocolBufferException

Throws:

org.nd4j.shade.protobuf.InvalidProtocolBufferException

parseFrom

public static OnnxMl.TensorProto parseFrom(InputStream input)
                                    throws IOException

Throws:

IOException

parseFrom

public static OnnxMl.TensorProto parseFrom(InputStream input,
                                           org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws IOException

Throws:

IOException

parseDelimitedFrom

public static OnnxMl.TensorProto parseDelimitedFrom(InputStream input)
                                             throws IOException

Throws:

IOException

parseDelimitedFrom

public static OnnxMl.TensorProto parseDelimitedFrom(InputStream input,
                                                    org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                             throws IOException

Throws:

IOException

parseFrom

public static OnnxMl.TensorProto parseFrom(org.nd4j.shade.protobuf.CodedInputStream input)
                                    throws IOException

Throws:

IOException

parseFrom

public static OnnxMl.TensorProto parseFrom(org.nd4j.shade.protobuf.CodedInputStream input,
                                           org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                    throws IOException

Throws:

IOException

newBuilderForType

public OnnxMl.TensorProto.Builder newBuilderForType()

Specified by:

newBuilderForType in interface org.nd4j.shade.protobuf.Message

Specified by:

newBuilderForType in interface org.nd4j.shade.protobuf.MessageLite

newBuilder

public static OnnxMl.TensorProto.Builder newBuilder()

newBuilder

public static OnnxMl.TensorProto.Builder newBuilder(OnnxMl.TensorProto prototype)

toBuilder

public OnnxMl.TensorProto.Builder toBuilder()

Specified by:

toBuilder in interface org.nd4j.shade.protobuf.Message

Specified by:

toBuilder in interface org.nd4j.shade.protobuf.MessageLite

newBuilderForType

protected OnnxMl.TensorProto.Builder newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)

Specified by:

newBuilderForType in class org.nd4j.shade.protobuf.GeneratedMessageV3

getDefaultInstance

public static OnnxMl.TensorProto getDefaultInstance()

parser

public static org.nd4j.shade.protobuf.Parser<OnnxMl.TensorProto> parser()

getParserForType

public org.nd4j.shade.protobuf.Parser<OnnxMl.TensorProto> getParserForType()

Specified by:

getParserForType in interface org.nd4j.shade.protobuf.Message

Specified by:

getParserForType in interface org.nd4j.shade.protobuf.MessageLite

Overrides:

getParserForType in class org.nd4j.shade.protobuf.GeneratedMessageV3

getDefaultInstanceForType

public OnnxMl.TensorProto getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilder