org.nd4j.ir

Interface TensorNamespace.TensorProtoOrBuilder

All Superinterfaces:

org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder

All Known Implementing Classes:

TensorNamespace.TensorProto, TensorNamespace.TensorProto.Builder

Enclosing class:

TensorNamespace

public static interface TensorNamespace.TensorProtoOrBuilder
extends org.nd4j.shade.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
boolean	getBoolVal(int index) boolean values
int	getBoolValCount() boolean values
List<Boolean>	getBoolValList() boolean values
TensorNamespace.TensorProto.DataLocation	getDataLocation() If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
int	getDataLocationValue() If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
int	getDataType() The data type of the tensor.
long	getDims(int index) The shape of the tensor.
int	getDimsCount() The shape of the tensor.
List<Long>	getDimsList() The shape of the tensor.
String	getDocString() A human-readable documentation for this tensor.
org.nd4j.shade.protobuf.ByteString	getDocStringBytes() A human-readable documentation for this tensor.
double	getDoubleData(int index) For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
int	getDoubleDataCount() For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
List<Double>	getDoubleDataList() For double Complex128 tensors are encoded as a single array of doubles, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
TensorNamespace.StringStringEntryProto	getExternalData(int index) Data can be stored inside the protobuf file using type-specific fields or raw_data.
int	getExternalDataCount() Data can be stored inside the protobuf file using type-specific fields or raw_data.
List<TensorNamespace.StringStringEntryProto>	getExternalDataList() Data can be stored inside the protobuf file using type-specific fields or raw_data.
TensorNamespace.StringStringEntryProtoOrBuilder	getExternalDataOrBuilder(int index) Data can be stored inside the protobuf file using type-specific fields or raw_data.
List<? extends TensorNamespace.StringStringEntryProtoOrBuilder>	getExternalDataOrBuilderList() Data can be stored inside the protobuf file using type-specific fields or raw_data.
float	getFloatData(int index) For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
int	getFloatDataCount() For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
List<Float>	getFloatDataList() For float and complex64 values Complex64 tensors are encoded as a single array of floats, with the real components appearing in odd numbered positions, and the corresponding imaginary component appearing in the subsequent even numbered position.
int	getHalfVal(int index) For half values (tensorflow compatibility)
int	getHalfValCount() For half values (tensorflow compatibility)
List<Integer>	getHalfValList() For half values (tensorflow compatibility)
int	getInt32Data(int index) For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
int	getInt32DataCount() For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
List<Integer>	getInt32DataList() For int32, uint8, int8, uint16, int16, bool, and float16 values float16 values must be bit-wise converted to an uint16_t prior to writing to the buffer.
long	getInt64Data(int index) For int64.
int	getInt64DataCount() For int64.
List<Long>	getInt64DataList() For int64.
String	getName() Optionally, a name for the tensor.
org.nd4j.shade.protobuf.ByteString	getNameBytes() Optionally, a name for the tensor.
org.nd4j.shade.protobuf.ByteString	getRawData() Serializations can either use one of the fields above, or use this raw bytes field.
TensorNamespace.TensorProto.Segment	getSegment() .org.nd4j.ir.TensorProto.Segment segment = 3;
TensorNamespace.TensorProto.SegmentOrBuilder	getSegmentOrBuilder() .org.nd4j.ir.TensorProto.Segment segment = 3;
org.nd4j.shade.protobuf.ByteString	getStringData(int index) For strings.
int	getStringDataCount() For strings.
List<org.nd4j.shade.protobuf.ByteString>	getStringDataList() For strings.
long	getUint64Data(int index) For uint64 and uint32 values When this field is present, the data_type field MUST be UINT32 or 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() .org.nd4j.ir.TensorProto.Segment segment = 3;

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

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

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

isInitialized

Method Detail

getDimsList

List<Long> getDimsList()

 The shape of the tensor.
 

repeated int64 dims = 1;

getDimsCount

int getDimsCount()

 The shape of the tensor.
 

repeated int64 dims = 1;

getDims

long getDims(int index)

 The shape of the tensor.
 

repeated int64 dims = 1;

getDataType

int getDataType()

 The data type of the tensor.
 This field MUST have a valid TensorProto.DataType value
 

int32 data_type = 2;

hasSegment

boolean hasSegment()

.org.nd4j.ir.TensorProto.Segment segment = 3;

getSegment

TensorNamespace.TensorProto.Segment getSegment()

.org.nd4j.ir.TensorProto.Segment segment = 3;

getSegmentOrBuilder

TensorNamespace.TensorProto.SegmentOrBuilder getSegmentOrBuilder()

.org.nd4j.ir.TensorProto.Segment segment = 3;

getFloatDataList

List<Float> getFloatDataList()

 For float and complex64 values
 Complex64 tensors are encoded as a single array of floats,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
 

repeated float float_data = 4 [packed = true];

getFloatDataCount

int getFloatDataCount()

 For float and complex64 values
 Complex64 tensors are encoded as a single array of floats,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
 

repeated float float_data = 4 [packed = true];

getFloatData

float getFloatData(int index)

 For float and complex64 values
 Complex64 tensors are encoded as a single array of floats,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be FLOAT or COMPLEX64.
 

repeated float float_data = 4 [packed = true];

getInt32DataList

List<Integer> getInt32DataList()

 For int32, uint8, int8, uint16, int16, bool, and float16 values
 float16 values must be bit-wise converted to an uint16_t prior
 to writing to the buffer.
 When this field is present, the data_type field MUST be
 INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
 

repeated int32 int32_data = 5 [packed = true];

getInt32DataCount

int getInt32DataCount()

 For int32, uint8, int8, uint16, int16, bool, and float16 values
 float16 values must be bit-wise converted to an uint16_t prior
 to writing to the buffer.
 When this field is present, the data_type field MUST be
 INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
 

repeated int32 int32_data = 5 [packed = true];

getInt32Data

int getInt32Data(int index)

 For int32, uint8, int8, uint16, int16, bool, and float16 values
 float16 values must be bit-wise converted to an uint16_t prior
 to writing to the buffer.
 When this field is present, the data_type field MUST be
 INT32, INT16, INT8, UINT16, UINT8, BOOL, or FLOAT16
 

repeated int32 int32_data = 5 [packed = true];

getStringDataList

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;

getStringDataCount

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;

getStringData

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;

getInt64DataList

List<Long> getInt64DataList()

 For int64.
 When this field is present, the data_type field MUST be INT64
 

repeated int64 int64_data = 7 [packed = true];

getInt64DataCount

int getInt64DataCount()

 For int64.
 When this field is present, the data_type field MUST be INT64
 

repeated int64 int64_data = 7 [packed = true];

getInt64Data

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];

getName

String getName()

 Optionally, a name for the tensor.
 

string name = 8;

getNameBytes

org.nd4j.shade.protobuf.ByteString getNameBytes()

 Optionally, a name for the tensor.
 

string name = 8;

getDocString

String getDocString()

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

string doc_string = 12;

getDocStringBytes

org.nd4j.shade.protobuf.ByteString getDocStringBytes()

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

string doc_string = 12;

getRawData

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;

getExternalDataList

List<TensorNamespace.StringStringEntryProto> getExternalDataList()

 Data can be stored inside the protobuf file using type-specific fields or raw_data.
 Alternatively, raw bytes data can be stored in an external file, using the external_data field.
 external_data stores key-value pairs describing data location. Recognized keys are:
 - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
                           protobuf model was stored
 - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
 - "length" (optional) - number of bytes containing data. Integer stored as string.
 - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
 

repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;

getExternalData

TensorNamespace.StringStringEntryProto getExternalData(int index)

 Data can be stored inside the protobuf file using type-specific fields or raw_data.
 Alternatively, raw bytes data can be stored in an external file, using the external_data field.
 external_data stores key-value pairs describing data location. Recognized keys are:
 - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
                           protobuf model was stored
 - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
 - "length" (optional) - number of bytes containing data. Integer stored as string.
 - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
 

repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;

getExternalDataCount

int getExternalDataCount()

 Data can be stored inside the protobuf file using type-specific fields or raw_data.
 Alternatively, raw bytes data can be stored in an external file, using the external_data field.
 external_data stores key-value pairs describing data location. Recognized keys are:
 - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
                           protobuf model was stored
 - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
 - "length" (optional) - number of bytes containing data. Integer stored as string.
 - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
 

repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;

getExternalDataOrBuilderList

List<? extends TensorNamespace.StringStringEntryProtoOrBuilder> getExternalDataOrBuilderList()

 Data can be stored inside the protobuf file using type-specific fields or raw_data.
 Alternatively, raw bytes data can be stored in an external file, using the external_data field.
 external_data stores key-value pairs describing data location. Recognized keys are:
 - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
                           protobuf model was stored
 - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
 - "length" (optional) - number of bytes containing data. Integer stored as string.
 - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
 

repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;

getExternalDataOrBuilder

TensorNamespace.StringStringEntryProtoOrBuilder getExternalDataOrBuilder(int index)

 Data can be stored inside the protobuf file using type-specific fields or raw_data.
 Alternatively, raw bytes data can be stored in an external file, using the external_data field.
 external_data stores key-value pairs describing data location. Recognized keys are:
 - "location" (required) - POSIX filesystem path relative to the directory where the ONNX
                           protobuf model was stored
 - "offset" (optional) - position of byte at which stored data begins. Integer stored as string.
                         Offset values SHOULD be multiples 4096 (page size) to enable mmap support.
 - "length" (optional) - number of bytes containing data. Integer stored as string.
 - "checksum" (optional) - SHA1 digest of file specified in under 'location' key.
 

repeated .org.nd4j.ir.StringStringEntryProto external_data = 13;

getDataLocationValue

int getDataLocationValue()

 If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
 

.org.nd4j.ir.TensorProto.DataLocation data_location = 14;

getDataLocation

TensorNamespace.TensorProto.DataLocation getDataLocation()

 If value not set, data is stored in raw_data (if set) otherwise in type-specified field.
 

.org.nd4j.ir.TensorProto.DataLocation data_location = 14;

getDoubleDataList

List<Double> getDoubleDataList()

 For double
 Complex128 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
 

repeated double double_data = 10 [packed = true];

getDoubleDataCount

int getDoubleDataCount()

 For double
 Complex128 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
 

repeated double double_data = 10 [packed = true];

getDoubleData

double getDoubleData(int index)

 For double
 Complex128 tensors are encoded as a single array of doubles,
 with the real components appearing in odd numbered positions,
 and the corresponding imaginary component appearing in the
 subsequent even numbered position. (e.g., [1.0 + 2.0i, 3.0 + 4.0i]
 is encoded as [1.0, 2.0 ,3.0 ,4.0]
 When this field is present, the data_type field MUST be DOUBLE or COMPLEX128
 

repeated double double_data = 10 [packed = true];

getUint64DataList

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];

getUint64DataCount

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];

getUint64Data

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];

getHalfValList

List<Integer> getHalfValList()

 For half values (tensorflow compatibility)
 

repeated int32 half_val = 15 [packed = true];

getHalfValCount

int getHalfValCount()

 For half values (tensorflow compatibility)
 

repeated int32 half_val = 15 [packed = true];

getHalfVal

int getHalfVal(int index)

 For half values (tensorflow compatibility)
 

repeated int32 half_val = 15 [packed = true];

getBoolValList

List<Boolean> getBoolValList()

boolean values
 

repeated bool bool_val = 16 [packed = true];

getBoolValCount

int getBoolValCount()

boolean values
 

repeated bool bool_val = 16 [packed = true];

getBoolVal

boolean getBoolVal(int index)

boolean values
 

repeated bool bool_val = 16 [packed = true];