public static final class OnnxMlProto3.TensorProto extends com.github.os72.protobuf351.GeneratedMessageV3 implements OnnxMlProto3.TensorProtoOrBuilder
A message defined to store a tensor in its serialized format.Protobuf type
onnx.TensorProto| Modifier and Type | Class and Description |
|---|---|
static class |
OnnxMlProto3.TensorProto.Builder
A message defined to store a tensor in its serialized format.
|
static class |
OnnxMlProto3.TensorProto.DataType
Protobuf enum
onnx.TensorProto.DataType |
static class |
OnnxMlProto3.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 |
OnnxMlProto3.TensorProto.SegmentOrBuilder |
com.github.os72.protobuf351.GeneratedMessageV3.BuilderParent, com.github.os72.protobuf351.GeneratedMessageV3.ExtendableBuilder<MessageType extends com.github.os72.protobuf351.GeneratedMessageV3.ExtendableMessage,BuilderType extends com.github.os72.protobuf351.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, com.github.os72.protobuf351.GeneratedMessageV3.ExtendableMessage<MessageType extends com.github.os72.protobuf351.GeneratedMessageV3.ExtendableMessage>, com.github.os72.protobuf351.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends com.github.os72.protobuf351.GeneratedMessageV3.ExtendableMessage>, com.github.os72.protobuf351.GeneratedMessageV3.FieldAccessorTable| 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) |
OnnxMlProto3.TensorProto.DataType |
getDataType()
The data type of the tensor.
|
int |
getDataTypeValue()
The data type of the tensor.
|
static OnnxMlProto3.TensorProto |
getDefaultInstance() |
OnnxMlProto3.TensorProto |
getDefaultInstanceForType() |
static com.github.os72.protobuf351.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.
|
com.github.os72.protobuf351.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.
|
com.github.os72.protobuf351.ByteString |
getNameBytes()
Optionally, a name for the tensor.
|
com.github.os72.protobuf351.Parser<OnnxMlProto3.TensorProto> |
getParserForType() |
com.github.os72.protobuf351.ByteString |
getRawData()
Serializations can either use one of the fields above, or use this
raw bytes field.
|
OnnxMlProto3.TensorProto.Segment |
getSegment()
.onnx.TensorProto.Segment segment = 3; |
OnnxMlProto3.TensorProto.SegmentOrBuilder |
getSegmentOrBuilder()
.onnx.TensorProto.Segment segment = 3; |
int |
getSerializedSize() |
com.github.os72.protobuf351.ByteString |
getStringData(int index)
For strings.
|
int |
getStringDataCount()
For strings.
|
List<com.github.os72.protobuf351.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
|
com.github.os72.protobuf351.UnknownFieldSet |
getUnknownFields() |
int |
hashCode() |
boolean |
hasSegment()
.onnx.TensorProto.Segment segment = 3; |
protected com.github.os72.protobuf351.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
static OnnxMlProto3.TensorProto.Builder |
newBuilder() |
static OnnxMlProto3.TensorProto.Builder |
newBuilder(OnnxMlProto3.TensorProto prototype) |
OnnxMlProto3.TensorProto.Builder |
newBuilderForType() |
protected OnnxMlProto3.TensorProto.Builder |
newBuilderForType(com.github.os72.protobuf351.GeneratedMessageV3.BuilderParent parent) |
static OnnxMlProto3.TensorProto |
parseDelimitedFrom(InputStream input) |
static OnnxMlProto3.TensorProto |
parseDelimitedFrom(InputStream input,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) |
static OnnxMlProto3.TensorProto |
parseFrom(byte[] data) |
static OnnxMlProto3.TensorProto |
parseFrom(byte[] data,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) |
static OnnxMlProto3.TensorProto |
parseFrom(ByteBuffer data) |
static OnnxMlProto3.TensorProto |
parseFrom(ByteBuffer data,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) |
static OnnxMlProto3.TensorProto |
parseFrom(com.github.os72.protobuf351.ByteString data) |
static OnnxMlProto3.TensorProto |
parseFrom(com.github.os72.protobuf351.ByteString data,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) |
static OnnxMlProto3.TensorProto |
parseFrom(com.github.os72.protobuf351.CodedInputStream input) |
static OnnxMlProto3.TensorProto |
parseFrom(com.github.os72.protobuf351.CodedInputStream input,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) |
static OnnxMlProto3.TensorProto |
parseFrom(InputStream input) |
static OnnxMlProto3.TensorProto |
parseFrom(InputStream input,
com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) |
static com.github.os72.protobuf351.Parser<OnnxMlProto3.TensorProto> |
parser() |
OnnxMlProto3.TensorProto.Builder |
toBuilder() |
void |
writeTo(com.github.os72.protobuf351.CodedOutputStream output) |
canUseUnsafe, computeStringSize, computeStringSizeNoTag, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, internalGetMapField, makeExtensionsImmutable, newBuilderForType, parseDelimitedWithIOException, parseDelimitedWithIOException, parseUnknownField, parseUnknownFieldProto3, parseWithIOException, parseWithIOException, parseWithIOException, parseWithIOException, serializeBooleanMapTo, serializeIntegerMapTo, serializeLongMapTo, serializeStringMapTo, writeReplace, writeString, writeStringNoTagfindInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toStringaddAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeToclone, finalize, getClass, notify, notifyAll, wait, wait, waitpublic 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 com.github.os72.protobuf351.UnknownFieldSet getUnknownFields()
getUnknownFields in interface com.github.os72.protobuf351.MessageOrBuildergetUnknownFields in class com.github.os72.protobuf351.GeneratedMessageV3public static final com.github.os72.protobuf351.Descriptors.Descriptor getDescriptor()
protected com.github.os72.protobuf351.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.github.os72.protobuf351.GeneratedMessageV3public List<Long> getDimsList()
The shape of the tensor.
repeated int64 dims = 1;getDimsList in interface OnnxMlProto3.TensorProtoOrBuilderpublic int getDimsCount()
The shape of the tensor.
repeated int64 dims = 1;getDimsCount in interface OnnxMlProto3.TensorProtoOrBuilderpublic long getDims(int index)
The shape of the tensor.
repeated int64 dims = 1;getDims in interface OnnxMlProto3.TensorProtoOrBuilderpublic int getDataTypeValue()
The data type of the tensor.
.onnx.TensorProto.DataType data_type = 2;getDataTypeValue in interface OnnxMlProto3.TensorProtoOrBuilderpublic OnnxMlProto3.TensorProto.DataType getDataType()
The data type of the tensor.
.onnx.TensorProto.DataType data_type = 2;getDataType in interface OnnxMlProto3.TensorProtoOrBuilderpublic boolean hasSegment()
.onnx.TensorProto.Segment segment = 3;hasSegment in interface OnnxMlProto3.TensorProtoOrBuilderpublic OnnxMlProto3.TensorProto.Segment getSegment()
.onnx.TensorProto.Segment segment = 3;getSegment in interface OnnxMlProto3.TensorProtoOrBuilderpublic OnnxMlProto3.TensorProto.SegmentOrBuilder getSegmentOrBuilder()
.onnx.TensorProto.Segment segment = 3;getSegmentOrBuilder in interface OnnxMlProto3.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 OnnxMlProto3.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 OnnxMlProto3.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 OnnxMlProto3.TensorProtoOrBuilderpublic 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 OnnxMlProto3.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 OnnxMlProto3.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 OnnxMlProto3.TensorProtoOrBuilderpublic List<com.github.os72.protobuf351.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 OnnxMlProto3.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 OnnxMlProto3.TensorProtoOrBuilderpublic com.github.os72.protobuf351.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 OnnxMlProto3.TensorProtoOrBuilderpublic 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 OnnxMlProto3.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 OnnxMlProto3.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 OnnxMlProto3.TensorProtoOrBuilderpublic String getName()
Optionally, a name for the tensor.
string name = 8;getName in interface OnnxMlProto3.TensorProtoOrBuilderpublic com.github.os72.protobuf351.ByteString getNameBytes()
Optionally, a name for the tensor.
string name = 8;getNameBytes in interface OnnxMlProto3.TensorProtoOrBuilderpublic String getDocString()
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;getDocString in interface OnnxMlProto3.TensorProtoOrBuilderpublic com.github.os72.protobuf351.ByteString getDocStringBytes()
A human-readable documentation for this tensor. Markdown is allowed.
string doc_string = 12;getDocStringBytes in interface OnnxMlProto3.TensorProtoOrBuilderpublic com.github.os72.protobuf351.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 OnnxMlProto3.TensorProtoOrBuilderpublic 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 OnnxMlProto3.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 OnnxMlProto3.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 OnnxMlProto3.TensorProtoOrBuilderpublic 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 OnnxMlProto3.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 OnnxMlProto3.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 OnnxMlProto3.TensorProtoOrBuilderpublic final boolean isInitialized()
isInitialized in interface com.github.os72.protobuf351.MessageLiteOrBuilderisInitialized in class com.github.os72.protobuf351.GeneratedMessageV3public void writeTo(com.github.os72.protobuf351.CodedOutputStream output)
throws IOException
writeTo in interface com.github.os72.protobuf351.MessageLitewriteTo in class com.github.os72.protobuf351.GeneratedMessageV3IOExceptionpublic int getSerializedSize()
getSerializedSize in interface com.github.os72.protobuf351.MessageLitegetSerializedSize in class com.github.os72.protobuf351.GeneratedMessageV3public boolean equals(Object obj)
equals in interface com.github.os72.protobuf351.Messageequals in class com.github.os72.protobuf351.AbstractMessagepublic int hashCode()
hashCode in interface com.github.os72.protobuf351.MessagehashCode in class com.github.os72.protobuf351.AbstractMessagepublic static OnnxMlProto3.TensorProto parseFrom(ByteBuffer data) throws com.github.os72.protobuf351.InvalidProtocolBufferException
com.github.os72.protobuf351.InvalidProtocolBufferExceptionpublic static OnnxMlProto3.TensorProto parseFrom(ByteBuffer data, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) throws com.github.os72.protobuf351.InvalidProtocolBufferException
com.github.os72.protobuf351.InvalidProtocolBufferExceptionpublic static OnnxMlProto3.TensorProto parseFrom(com.github.os72.protobuf351.ByteString data) throws com.github.os72.protobuf351.InvalidProtocolBufferException
com.github.os72.protobuf351.InvalidProtocolBufferExceptionpublic static OnnxMlProto3.TensorProto parseFrom(com.github.os72.protobuf351.ByteString data, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) throws com.github.os72.protobuf351.InvalidProtocolBufferException
com.github.os72.protobuf351.InvalidProtocolBufferExceptionpublic static OnnxMlProto3.TensorProto parseFrom(byte[] data) throws com.github.os72.protobuf351.InvalidProtocolBufferException
com.github.os72.protobuf351.InvalidProtocolBufferExceptionpublic static OnnxMlProto3.TensorProto parseFrom(byte[] data, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) throws com.github.os72.protobuf351.InvalidProtocolBufferException
com.github.os72.protobuf351.InvalidProtocolBufferExceptionpublic static OnnxMlProto3.TensorProto parseFrom(InputStream input) throws IOException
IOExceptionpublic static OnnxMlProto3.TensorProto parseFrom(InputStream input, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static OnnxMlProto3.TensorProto parseDelimitedFrom(InputStream input) throws IOException
IOExceptionpublic static OnnxMlProto3.TensorProto parseDelimitedFrom(InputStream input, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static OnnxMlProto3.TensorProto parseFrom(com.github.os72.protobuf351.CodedInputStream input) throws IOException
IOExceptionpublic static OnnxMlProto3.TensorProto parseFrom(com.github.os72.protobuf351.CodedInputStream input, com.github.os72.protobuf351.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic OnnxMlProto3.TensorProto.Builder newBuilderForType()
newBuilderForType in interface com.github.os72.protobuf351.MessagenewBuilderForType in interface com.github.os72.protobuf351.MessageLitepublic static OnnxMlProto3.TensorProto.Builder newBuilder()
public static OnnxMlProto3.TensorProto.Builder newBuilder(OnnxMlProto3.TensorProto prototype)
public OnnxMlProto3.TensorProto.Builder toBuilder()
toBuilder in interface com.github.os72.protobuf351.MessagetoBuilder in interface com.github.os72.protobuf351.MessageLiteprotected OnnxMlProto3.TensorProto.Builder newBuilderForType(com.github.os72.protobuf351.GeneratedMessageV3.BuilderParent parent)
newBuilderForType in class com.github.os72.protobuf351.GeneratedMessageV3public static OnnxMlProto3.TensorProto getDefaultInstance()
public static com.github.os72.protobuf351.Parser<OnnxMlProto3.TensorProto> parser()
public com.github.os72.protobuf351.Parser<OnnxMlProto3.TensorProto> getParserForType()
getParserForType in interface com.github.os72.protobuf351.MessagegetParserForType in interface com.github.os72.protobuf351.MessageLitegetParserForType in class com.github.os72.protobuf351.GeneratedMessageV3public OnnxMlProto3.TensorProto getDefaultInstanceForType()
getDefaultInstanceForType in interface com.github.os72.protobuf351.MessageLiteOrBuildergetDefaultInstanceForType in interface com.github.os72.protobuf351.MessageOrBuilderCopyright © 2018. All rights reserved.