public static final class Onnx.TensorProto extends org.nd4j.shade.protobuf.GeneratedMessageV3 implements Onnx.TensorProtoOrBuilder
A message defined to store a tensor in its serialized format.Protobuf type
onnx.TensorProto
Modifier and Type | Class and Description |
---|---|
static class |
Onnx.TensorProto.Builder
A message defined to store a tensor in its serialized format.
|
static class |
Onnx.TensorProto.DataType
Protobuf enum
onnx.TensorProto.DataType |
static class |
Onnx.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 |
Onnx.TensorProto.SegmentOrBuilder |
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
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 |
Modifier and Type | Method and Description |
---|---|
boolean |
equals(Object obj) |
Onnx.TensorProto.DataType |
getDataType()
The data type of the tensor.
|
int |
getDataTypeValue()
The data type of the tensor.
|
static Onnx.TensorProto |
getDefaultInstance() |
Onnx.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<Onnx.TensorProto> |
getParserForType() |
org.nd4j.shade.protobuf.ByteString |
getRawData()
Serializations can either use one of the fields above, or use this
raw bytes field.
|
Onnx.TensorProto.Segment |
getSegment()
.onnx.TensorProto.Segment segment = 3; |
Onnx.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 Onnx.TensorProto.Builder |
newBuilder() |
static Onnx.TensorProto.Builder |
newBuilder(Onnx.TensorProto prototype) |
Onnx.TensorProto.Builder |
newBuilderForType() |
protected Onnx.TensorProto.Builder |
newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) |
static Onnx.TensorProto |
parseDelimitedFrom(InputStream input) |
static Onnx.TensorProto |
parseDelimitedFrom(InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static Onnx.TensorProto |
parseFrom(byte[] data) |
static Onnx.TensorProto |
parseFrom(byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static Onnx.TensorProto |
parseFrom(ByteBuffer data) |
static Onnx.TensorProto |
parseFrom(ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static Onnx.TensorProto |
parseFrom(org.nd4j.shade.protobuf.ByteString data) |
static Onnx.TensorProto |
parseFrom(org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static Onnx.TensorProto |
parseFrom(org.nd4j.shade.protobuf.CodedInputStream input) |
static Onnx.TensorProto |
parseFrom(org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static Onnx.TensorProto |
parseFrom(InputStream input) |
static Onnx.TensorProto |
parseFrom(InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static org.nd4j.shade.protobuf.Parser<Onnx.TensorProto> |
parser() |
Onnx.TensorProto.Builder |
toBuilder() |
void |
writeTo(org.nd4j.shade.protobuf.CodedOutputStream output) |
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, internalGetMapField, makeExtensionsImmutable, mutableCopy, mutableCopy, mutableCopy, mutableCopy, mutableCopy, newBooleanList, newBuilderForType, newDoubleList, newFloatList, newInstance, newIntList, newLongList, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTag
findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString
addAll, addAll, checkByteStringIsUtf8, getSerializedSizeInternal, isInitializedInternal, makeImmutableInternal, mergeFromInternal, toByteArray, toByteString, writeDelimitedTo, writeTo, writeToInternal
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
public static final int DIMS_FIELD_NUMBER
public static final int DATA_TYPE_FIELD_NUMBER
public static final int SEGMENT_FIELD_NUMBER
public static final int FLOAT_DATA_FIELD_NUMBER
public static final int INT32_DATA_FIELD_NUMBER
public static final int STRING_DATA_FIELD_NUMBER
public static final int INT64_DATA_FIELD_NUMBER
public static final int NAME_FIELD_NUMBER
public static final int DOC_STRING_FIELD_NUMBER
public static final int RAW_DATA_FIELD_NUMBER
public static final int DOUBLE_DATA_FIELD_NUMBER
public static final int UINT64_DATA_FIELD_NUMBER
public final org.nd4j.shade.protobuf.UnknownFieldSet getUnknownFields()
getUnknownFields
in interface org.nd4j.shade.protobuf.MessageOrBuilder
getUnknownFields
in class org.nd4j.shade.protobuf.GeneratedMessageV3
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable
in class org.nd4j.shade.protobuf.GeneratedMessageV3
public List<Long> getDimsList()
The shape of the tensor.
repeated int64 dims = 1;
getDimsList
in interface Onnx.TensorProtoOrBuilder
public int getDimsCount()
The shape of the tensor.
repeated int64 dims = 1;
getDimsCount
in interface Onnx.TensorProtoOrBuilder
public long getDims(int index)
The shape of the tensor.
repeated int64 dims = 1;
getDims
in interface Onnx.TensorProtoOrBuilder
public int getDataTypeValue()
The data type of the tensor.
.onnx.TensorProto.DataType data_type = 2;
getDataTypeValue
in interface Onnx.TensorProtoOrBuilder
public Onnx.TensorProto.DataType getDataType()
The data type of the tensor.
.onnx.TensorProto.DataType data_type = 2;
getDataType
in interface Onnx.TensorProtoOrBuilder
public boolean hasSegment()
.onnx.TensorProto.Segment segment = 3;
hasSegment
in interface Onnx.TensorProtoOrBuilder
public Onnx.TensorProto.Segment getSegment()
.onnx.TensorProto.Segment segment = 3;
getSegment
in interface Onnx.TensorProtoOrBuilder
public Onnx.TensorProto.SegmentOrBuilder getSegmentOrBuilder()
.onnx.TensorProto.Segment segment = 3;
getSegmentOrBuilder
in interface Onnx.TensorProtoOrBuilder
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];
getFloatDataList
in interface Onnx.TensorProtoOrBuilder
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];
getFloatDataCount
in interface Onnx.TensorProtoOrBuilder
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];
getFloatData
in interface Onnx.TensorProtoOrBuilder
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 Onnx.TensorProtoOrBuilder
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];
getInt32DataCount
in interface Onnx.TensorProtoOrBuilder
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];
getInt32Data
in interface Onnx.TensorProtoOrBuilder
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 Onnx.TensorProtoOrBuilder
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;
getStringDataCount
in interface Onnx.TensorProtoOrBuilder
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;
getStringData
in interface Onnx.TensorProtoOrBuilder
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 Onnx.TensorProtoOrBuilder
public 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 Onnx.TensorProtoOrBuilder
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];
getInt64Data
in interface Onnx.TensorProtoOrBuilder
public String getName()
Optionally, a name for the tensor.
string name = 8;
getName
in interface Onnx.TensorProtoOrBuilder
public org.nd4j.shade.protobuf.ByteString getNameBytes()
Optionally, a name for the tensor.
string name = 8;
getNameBytes
in interface Onnx.TensorProtoOrBuilder
public String getDocString()
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;
getDocString
in interface Onnx.TensorProtoOrBuilder
public org.nd4j.shade.protobuf.ByteString getDocStringBytes()
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;
getDocStringBytes
in interface Onnx.TensorProtoOrBuilder
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 Onnx.TensorProtoOrBuilder
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 Onnx.TensorProtoOrBuilder
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];
getDoubleDataCount
in interface Onnx.TensorProtoOrBuilder
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];
getDoubleData
in interface Onnx.TensorProtoOrBuilder
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 Onnx.TensorProtoOrBuilder
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];
getUint64DataCount
in interface Onnx.TensorProtoOrBuilder
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];
getUint64Data
in interface Onnx.TensorProtoOrBuilder
public final boolean isInitialized()
isInitialized
in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder
isInitialized
in class org.nd4j.shade.protobuf.GeneratedMessageV3
public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output) throws IOException
writeTo
in interface org.nd4j.shade.protobuf.MessageLite
writeTo
in class org.nd4j.shade.protobuf.GeneratedMessageV3
IOException
public int getSerializedSize()
getSerializedSize
in interface org.nd4j.shade.protobuf.MessageLite
getSerializedSize
in class org.nd4j.shade.protobuf.GeneratedMessageV3
public boolean equals(Object obj)
equals
in interface org.nd4j.shade.protobuf.Message
equals
in class org.nd4j.shade.protobuf.AbstractMessage
public int hashCode()
hashCode
in interface org.nd4j.shade.protobuf.Message
hashCode
in class org.nd4j.shade.protobuf.AbstractMessage
public static Onnx.TensorProto parseFrom(ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferException
public static Onnx.TensorProto parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferException
public static Onnx.TensorProto parseFrom(org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferException
public static Onnx.TensorProto parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferException
public static Onnx.TensorProto parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferException
public static Onnx.TensorProto parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferException
public static Onnx.TensorProto parseFrom(InputStream input) throws IOException
IOException
public static Onnx.TensorProto parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOException
public static Onnx.TensorProto parseDelimitedFrom(InputStream input) throws IOException
IOException
public static Onnx.TensorProto parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOException
public static Onnx.TensorProto parseFrom(org.nd4j.shade.protobuf.CodedInputStream input) throws IOException
IOException
public static Onnx.TensorProto parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOException
public Onnx.TensorProto.Builder newBuilderForType()
newBuilderForType
in interface org.nd4j.shade.protobuf.Message
newBuilderForType
in interface org.nd4j.shade.protobuf.MessageLite
public static Onnx.TensorProto.Builder newBuilder()
public static Onnx.TensorProto.Builder newBuilder(Onnx.TensorProto prototype)
public Onnx.TensorProto.Builder toBuilder()
toBuilder
in interface org.nd4j.shade.protobuf.Message
toBuilder
in interface org.nd4j.shade.protobuf.MessageLite
protected Onnx.TensorProto.Builder newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType
in class org.nd4j.shade.protobuf.GeneratedMessageV3
public static Onnx.TensorProto getDefaultInstance()
public static org.nd4j.shade.protobuf.Parser<Onnx.TensorProto> parser()
public org.nd4j.shade.protobuf.Parser<Onnx.TensorProto> getParserForType()
getParserForType
in interface org.nd4j.shade.protobuf.Message
getParserForType
in interface org.nd4j.shade.protobuf.MessageLite
getParserForType
in class org.nd4j.shade.protobuf.GeneratedMessageV3
public Onnx.TensorProto getDefaultInstanceForType()
getDefaultInstanceForType
in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder
getDefaultInstanceForType
in interface org.nd4j.shade.protobuf.MessageOrBuilder
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