TensorProto

public final class TensorProto

 Protocol buffer representing a tensor.
 

Protobuf type tensorflow.TensorProto

Nested Classes

class

TensorProto.Builder

Protocol buffer representing a tensor.

Constants

int	BOOL_VAL_FIELD_NUMBER
int	DCOMPLEX_VAL_FIELD_NUMBER
int	DOUBLE_VAL_FIELD_NUMBER
int	DTYPE_FIELD_NUMBER
int	FLOAT_VAL_FIELD_NUMBER
int	HALF_VAL_FIELD_NUMBER
int	INT64_VAL_FIELD_NUMBER
int	INT_VAL_FIELD_NUMBER
int	RESOURCE_HANDLE_VAL_FIELD_NUMBER
int	SCOMPLEX_VAL_FIELD_NUMBER
int	STRING_VAL_FIELD_NUMBER
int	TENSOR_CONTENT_FIELD_NUMBER
int	TENSOR_SHAPE_FIELD_NUMBER
int	UINT32_VAL_FIELD_NUMBER
int	UINT64_VAL_FIELD_NUMBER
int	VARIANT_VAL_FIELD_NUMBER
int	VERSION_NUMBER_FIELD_NUMBER

Public Methods

boolean	equals(Object obj)
boolean	getBoolVal(int index) DT_BOOL repeated bool bool_val = 11 [packed = true];
int	getBoolValCount() DT_BOOL repeated bool bool_val = 11 [packed = true];
List<Boolean>	getBoolValList() DT_BOOL repeated bool bool_val = 11 [packed = true];
double	getDcomplexVal(int index) DT_COMPLEX128.
int	getDcomplexValCount() DT_COMPLEX128.
List<Double>	getDcomplexValList() DT_COMPLEX128.
static TensorProto	getDefaultInstance()
TensorProto	getDefaultInstanceForType()
final static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
double	getDoubleVal(int index) DT_DOUBLE.
int	getDoubleValCount() DT_DOUBLE.
List<Double>	getDoubleValList() DT_DOUBLE.
DataType	getDtype() .tensorflow.DataType dtype = 1;
int	getDtypeValue() .tensorflow.DataType dtype = 1;
float	getFloatVal(int index) DT_FLOAT.
int	getFloatValCount() DT_FLOAT.
List<Float>	getFloatValList() DT_FLOAT.
int	getHalfVal(int index) DT_HALF, DT_BFLOAT16.
int	getHalfValCount() DT_HALF, DT_BFLOAT16.
List<Integer>	getHalfValList() DT_HALF, DT_BFLOAT16.
long	getInt64Val(int index) DT_INT64 repeated int64 int64_val = 10 [packed = true];
int	getInt64ValCount() DT_INT64 repeated int64 int64_val = 10 [packed = true];
List<Long>	getInt64ValList() DT_INT64 repeated int64 int64_val = 10 [packed = true];
int	getIntVal(int index) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
int	getIntValCount() DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
List<Integer>	getIntValList() DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
	getParserForType()
ResourceHandleProto	getResourceHandleVal(int index) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
int	getResourceHandleValCount() DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
List<ResourceHandleProto>	getResourceHandleValList() DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
ResourceHandleProtoOrBuilder	getResourceHandleValOrBuilder(int index) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
List<? extends ResourceHandleProtoOrBuilder>	getResourceHandleValOrBuilderList() DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
float	getScomplexVal(int index) DT_COMPLEX64.
int	getScomplexValCount() DT_COMPLEX64.
List<Float>	getScomplexValList() DT_COMPLEX64.
int	getSerializedSize()
com.google.protobuf.ByteString	getStringVal(int index) DT_STRING repeated bytes string_val = 8;
int	getStringValCount() DT_STRING repeated bytes string_val = 8;
List<ByteString>	getStringValList() DT_STRING repeated bytes string_val = 8;
com.google.protobuf.ByteString	getTensorContent() Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
TensorShapeProto	getTensorShape() Shape of the tensor.
TensorShapeProtoOrBuilder	getTensorShapeOrBuilder() Shape of the tensor.
int	getUint32Val(int index) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
int	getUint32ValCount() DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
List<Integer>	getUint32ValList() DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
long	getUint64Val(int index) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
int	getUint64ValCount() DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
List<Long>	getUint64ValList() DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
final com.google.protobuf.UnknownFieldSet	getUnknownFields()
VariantTensorDataProto	getVariantVal(int index) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int	getVariantValCount() DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
List<VariantTensorDataProto>	getVariantValList() DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
VariantTensorDataProtoOrBuilder	getVariantValOrBuilder(int index) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
List<? extends VariantTensorDataProtoOrBuilder>	getVariantValOrBuilderList() DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
int	getVersionNumber() Version number.
boolean	hasTensorShape() Shape of the tensor.
int	hashCode()
final boolean	isInitialized()
static TensorProto.Builder	newBuilder()
static TensorProto.Builder	newBuilder(TensorProto prototype)
TensorProto.Builder	newBuilderForType()
static TensorProto	parseDelimitedFrom(InputStream input)
static TensorProto	parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static TensorProto	parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static TensorProto	parseFrom(com.google.protobuf.CodedInputStream input)
static TensorProto	parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static TensorProto	parseFrom(ByteBuffer data)
static TensorProto	parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static TensorProto	parseFrom(com.google.protobuf.ByteString data)
static TensorProto	parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static TensorProto	parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
static	parser()
TensorProto.Builder	toBuilder()
void	writeTo(com.google.protobuf.CodedOutputStream output)

Inherited Methods

From class java.lang.Object

boolean	equals(Object arg0)
final Class<?>	getClass()
int	hashCode()
final void	notify()
final void	notifyAll()
String	toString()
final void	wait(long arg0, int arg1)
final void	wait(long arg0)
final void	wait()

From interface org.tensorflow.proto.framework.TensorProtoOrBuilder

abstract boolean	getBoolVal(int index) DT_BOOL repeated bool bool_val = 11 [packed = true];
abstract int	getBoolValCount() DT_BOOL repeated bool bool_val = 11 [packed = true];
abstract List<Boolean>	getBoolValList() DT_BOOL repeated bool bool_val = 11 [packed = true];
abstract double	getDcomplexVal(int index) DT_COMPLEX128.
abstract int	getDcomplexValCount() DT_COMPLEX128.
abstract List<Double>	getDcomplexValList() DT_COMPLEX128.
abstract double	getDoubleVal(int index) DT_DOUBLE.
abstract int	getDoubleValCount() DT_DOUBLE.
abstract List<Double>	getDoubleValList() DT_DOUBLE.
abstract DataType	getDtype() .tensorflow.DataType dtype = 1;
abstract int	getDtypeValue() .tensorflow.DataType dtype = 1;
abstract float	getFloatVal(int index) DT_FLOAT.
abstract int	getFloatValCount() DT_FLOAT.
abstract List<Float>	getFloatValList() DT_FLOAT.
abstract int	getHalfVal(int index) DT_HALF, DT_BFLOAT16.
abstract int	getHalfValCount() DT_HALF, DT_BFLOAT16.
abstract List<Integer>	getHalfValList() DT_HALF, DT_BFLOAT16.
abstract long	getInt64Val(int index) DT_INT64 repeated int64 int64_val = 10 [packed = true];
abstract int	getInt64ValCount() DT_INT64 repeated int64 int64_val = 10 [packed = true];
abstract List<Long>	getInt64ValList() DT_INT64 repeated int64 int64_val = 10 [packed = true];
abstract int	getIntVal(int index) DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
abstract int	getIntValCount() DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
abstract List<Integer>	getIntValList() DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
abstract ResourceHandleProto	getResourceHandleVal(int index) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
abstract int	getResourceHandleValCount() DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
abstract List<ResourceHandleProto>	getResourceHandleValList() DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
abstract ResourceHandleProtoOrBuilder	getResourceHandleValOrBuilder(int index) DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
abstract List<? extends ResourceHandleProtoOrBuilder>	getResourceHandleValOrBuilderList() DT_RESOURCE repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;
abstract float	getScomplexVal(int index) DT_COMPLEX64.
abstract int	getScomplexValCount() DT_COMPLEX64.
abstract List<Float>	getScomplexValList() DT_COMPLEX64.
abstract com.google.protobuf.ByteString	getStringVal(int index) DT_STRING repeated bytes string_val = 8;
abstract int	getStringValCount() DT_STRING repeated bytes string_val = 8;
abstract List<ByteString>	getStringValList() DT_STRING repeated bytes string_val = 8;
abstract com.google.protobuf.ByteString	getTensorContent() Serialized raw tensor content from either Tensor::AsProtoTensorContent or memcpy in tensorflow::grpc::EncodeTensorToByteBuffer.
abstract TensorShapeProto	getTensorShape() Shape of the tensor.
abstract TensorShapeProtoOrBuilder	getTensorShapeOrBuilder() Shape of the tensor.
abstract int	getUint32Val(int index) DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
abstract int	getUint32ValCount() DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
abstract List<Integer>	getUint32ValList() DT_UINT32 repeated uint32 uint32_val = 16 [packed = true];
abstract long	getUint64Val(int index) DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
abstract int	getUint64ValCount() DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
abstract List<Long>	getUint64ValList() DT_UINT64 repeated uint64 uint64_val = 17 [packed = true];
abstract VariantTensorDataProto	getVariantVal(int index) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
abstract int	getVariantValCount() DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
abstract List<VariantTensorDataProto>	getVariantValList() DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
abstract VariantTensorDataProtoOrBuilder	getVariantValOrBuilder(int index) DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
abstract List<? extends VariantTensorDataProtoOrBuilder>	getVariantValOrBuilderList() DT_VARIANT repeated .tensorflow.VariantTensorDataProto variant_val = 15;
abstract int	getVersionNumber() Version number.
abstract boolean	hasTensorShape() Shape of the tensor.

Constants

public static final int BOOL_VAL_FIELD_NUMBER

Constant Value: 11

public static final int DCOMPLEX_VAL_FIELD_NUMBER

Constant Value: 12

public static final int DOUBLE_VAL_FIELD_NUMBER

Constant Value: 6

public static final int DTYPE_FIELD_NUMBER

Constant Value: 1

public static final int FLOAT_VAL_FIELD_NUMBER

Constant Value: 5

public static final int HALF_VAL_FIELD_NUMBER

Constant Value: 13

public static final int INT64_VAL_FIELD_NUMBER

Constant Value: 10

public static final int INT_VAL_FIELD_NUMBER

Constant Value: 7

public static final int RESOURCE_HANDLE_VAL_FIELD_NUMBER

Constant Value: 14

public static final int SCOMPLEX_VAL_FIELD_NUMBER

Constant Value: 9

public static final int STRING_VAL_FIELD_NUMBER

Constant Value: 8

public static final int TENSOR_CONTENT_FIELD_NUMBER

Constant Value: 4

public static final int TENSOR_SHAPE_FIELD_NUMBER

Constant Value: 2

public static final int UINT32_VAL_FIELD_NUMBER

Constant Value: 16

public static final int UINT64_VAL_FIELD_NUMBER

Constant Value: 17

public static final int VARIANT_VAL_FIELD_NUMBER

Constant Value: 15

public static final int VERSION_NUMBER_FIELD_NUMBER

Constant Value: 3

Public Methods

public boolean equals (Object obj)

public boolean getBoolVal (int index)

 DT_BOOL
 

repeated bool bool_val = 11 [packed = true];

public int getBoolValCount ()

 DT_BOOL
 

repeated bool bool_val = 11 [packed = true];

public List<Boolean> getBoolValList ()

 DT_BOOL
 

repeated bool bool_val = 11 [packed = true];

public double getDcomplexVal (int index)

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
 

repeated double dcomplex_val = 12 [packed = true];

public int getDcomplexValCount ()

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
 

repeated double dcomplex_val = 12 [packed = true];

public List<Double> getDcomplexValList ()

 DT_COMPLEX128. dcomplex_val(2*i) and dcomplex_val(2*i+1) are real
 and imaginary parts of i-th double precision complex.
 

repeated double dcomplex_val = 12 [packed = true];

public static TensorProto getDefaultInstance ()

public TensorProto getDefaultInstanceForType ()

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()

public double getDoubleVal (int index)

 DT_DOUBLE.
 

repeated double double_val = 6 [packed = true];

public int getDoubleValCount ()

 DT_DOUBLE.
 

repeated double double_val = 6 [packed = true];

public List<Double> getDoubleValList ()

 DT_DOUBLE.
 

repeated double double_val = 6 [packed = true];

public DataType getDtype ()

.tensorflow.DataType dtype = 1;

public int getDtypeValue ()

.tensorflow.DataType dtype = 1;

public float getFloatVal (int index)

 DT_FLOAT.
 

repeated float float_val = 5 [packed = true];

public int getFloatValCount ()

 DT_FLOAT.
 

repeated float float_val = 5 [packed = true];

public List<Float> getFloatValList ()

 DT_FLOAT.
 

repeated float float_val = 5 [packed = true];

public int getHalfVal (int index)

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
 

repeated int32 half_val = 13 [packed = true];

public int getHalfValCount ()

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
 

repeated int32 half_val = 13 [packed = true];

public List<Integer> getHalfValList ()

 DT_HALF, DT_BFLOAT16. Note that since protobuf has no int16 type, we'll
 have some pointless zero padding for each value here.
 

repeated int32 half_val = 13 [packed = true];

public long getInt64Val (int index)

 DT_INT64
 

repeated int64 int64_val = 10 [packed = true];

public int getInt64ValCount ()

 DT_INT64
 

repeated int64 int64_val = 10 [packed = true];

public List<Long> getInt64ValList ()

 DT_INT64
 

repeated int64 int64_val = 10 [packed = true];

public int getIntVal (int index)

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
 

repeated int32 int_val = 7 [packed = true];

public int getIntValCount ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
 

repeated int32 int_val = 7 [packed = true];

public List<Integer> getIntValList ()

 DT_INT32, DT_INT16, DT_INT8, DT_UINT8.
 

repeated int32 int_val = 7 [packed = true];

public getParserForType ()

public ResourceHandleProto getResourceHandleVal (int index)

 DT_RESOURCE
 

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public int getResourceHandleValCount ()

 DT_RESOURCE
 

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public List<ResourceHandleProto> getResourceHandleValList ()

 DT_RESOURCE
 

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public ResourceHandleProtoOrBuilder getResourceHandleValOrBuilder (int index)

 DT_RESOURCE
 

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public List<? extends ResourceHandleProtoOrBuilder> getResourceHandleValOrBuilderList ()

 DT_RESOURCE
 

repeated .tensorflow.ResourceHandleProto resource_handle_val = 14;

public float getScomplexVal (int index)

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
 

repeated float scomplex_val = 9 [packed = true];

public int getScomplexValCount ()

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
 

repeated float scomplex_val = 9 [packed = true];

public List<Float> getScomplexValList ()

 DT_COMPLEX64. scomplex_val(2*i) and scomplex_val(2*i+1) are real
 and imaginary parts of i-th single precision complex.
 

repeated float scomplex_val = 9 [packed = true];

public int getSerializedSize ()

public com.google.protobuf.ByteString getStringVal (int index)

 DT_STRING
 

repeated bytes string_val = 8;

public int getStringValCount ()

 DT_STRING
 

repeated bytes string_val = 8;

public List<ByteString> getStringValList ()

 DT_STRING
 

repeated bytes string_val = 8;

public com.google.protobuf.ByteString getTensorContent ()

 Serialized raw tensor content from either Tensor::AsProtoTensorContent or
 memcpy in tensorflow::grpc::EncodeTensorToByteBuffer. This representation
 can be used for all tensor types. The purpose of this representation is to
 reduce serialization overhead during RPC call by avoiding serialization of
 many repeated small items.
 

bytes tensor_content = 4;

public TensorShapeProto getTensorShape ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
 

.tensorflow.TensorShapeProto tensor_shape = 2;

public TensorShapeProtoOrBuilder getTensorShapeOrBuilder ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
 

.tensorflow.TensorShapeProto tensor_shape = 2;

public int getUint32Val (int index)

 DT_UINT32
 

repeated uint32 uint32_val = 16 [packed = true];

public int getUint32ValCount ()

 DT_UINT32
 

repeated uint32 uint32_val = 16 [packed = true];

public List<Integer> getUint32ValList ()

 DT_UINT32
 

repeated uint32 uint32_val = 16 [packed = true];

public long getUint64Val (int index)

 DT_UINT64
 

repeated uint64 uint64_val = 17 [packed = true];

public int getUint64ValCount ()

 DT_UINT64
 

repeated uint64 uint64_val = 17 [packed = true];

public List<Long> getUint64ValList ()

 DT_UINT64
 

repeated uint64 uint64_val = 17 [packed = true];

public final com.google.protobuf.UnknownFieldSet getUnknownFields ()

public VariantTensorDataProto getVariantVal (int index)

 DT_VARIANT
 

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public int getVariantValCount ()

 DT_VARIANT
 

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public List<VariantTensorDataProto> getVariantValList ()

 DT_VARIANT
 

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public VariantTensorDataProtoOrBuilder getVariantValOrBuilder (int index)

 DT_VARIANT
 

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public List<? extends VariantTensorDataProtoOrBuilder> getVariantValOrBuilderList ()

 DT_VARIANT
 

repeated .tensorflow.VariantTensorDataProto variant_val = 15;

public int getVersionNumber ()

 Version number.
 In version 0, if the "repeated xxx" representations contain only one
 element, that element is repeated to fill the shape.  This makes it easy
 to represent a constant Tensor with a single value.
 

int32 version_number = 3;

public boolean hasTensorShape ()

 Shape of the tensor.  TODO(touts): sort out the 0-rank issues.
 

.tensorflow.TensorShapeProto tensor_shape = 2;

public int hashCode ()

public final boolean isInitialized ()

public static TensorProto.Builder newBuilder ()

public static TensorProto.Builder newBuilder (TensorProto prototype)

public TensorProto.Builder newBuilderForType ()

public static TensorProto parseDelimitedFrom (InputStream input)

Throws

IOException

public static TensorProto parseDelimitedFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

IOException

public static TensorProto parseFrom (ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

InvalidProtocolBufferException

public static TensorProto parseFrom (com.google.protobuf.CodedInputStream input)

Throws

IOException

public static TensorProto parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

InvalidProtocolBufferException

public static TensorProto parseFrom (ByteBuffer data)

Throws

InvalidProtocolBufferException

public static TensorProto parseFrom (com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

IOException

public static TensorProto parseFrom (com.google.protobuf.ByteString data)

Throws

InvalidProtocolBufferException

public static TensorProto parseFrom (InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

IOException

public static TensorProto parseFrom (com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)

Throws

InvalidProtocolBufferException

public static parser ()

public TensorProto.Builder toBuilder ()

public void writeTo (com.google.protobuf.CodedOutputStream output)

Throws

IOException