public final class TensorInfo extends org.nd4j.shade.protobuf.GeneratedMessageV3 implements TensorInfoOrBuilder
Information about a Tensor necessary for feeding or retrieval.Protobuf type
tensorflow.TensorInfo| Modifier and Type | Class and Description |
|---|---|
static class |
TensorInfo.Builder
Information about a Tensor necessary for feeding or retrieval.
|
static class |
TensorInfo.CooSparse
For sparse tensors, The COO encoding stores a triple of values, indices,
and shape.
|
static interface |
TensorInfo.CooSparseOrBuilder |
static class |
TensorInfo.EncodingCase |
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 |
COO_SPARSE_FIELD_NUMBER |
static int |
DTYPE_FIELD_NUMBER |
static int |
NAME_FIELD_NUMBER |
static int |
TENSOR_SHAPE_FIELD_NUMBER |
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(Object obj) |
TensorInfo.CooSparse |
getCooSparse()
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
|
TensorInfo.CooSparseOrBuilder |
getCooSparseOrBuilder()
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
|
static TensorInfo |
getDefaultInstance() |
TensorInfo |
getDefaultInstanceForType() |
static org.nd4j.shade.protobuf.Descriptors.Descriptor |
getDescriptor() |
DataType |
getDtype()
.tensorflow.DataType dtype = 2; |
int |
getDtypeValue()
.tensorflow.DataType dtype = 2; |
TensorInfo.EncodingCase |
getEncodingCase() |
String |
getName()
For dense `Tensor`s, the name of the tensor in the graph.
|
org.nd4j.shade.protobuf.ByteString |
getNameBytes()
For dense `Tensor`s, the name of the tensor in the graph.
|
org.nd4j.shade.protobuf.Parser<TensorInfo> |
getParserForType() |
int |
getSerializedSize() |
TensorShapeProto |
getTensorShape()
The static shape should be recorded here, to the extent that it can
be known in advance.
|
TensorShapeProtoOrBuilder |
getTensorShapeOrBuilder()
The static shape should be recorded here, to the extent that it can
be known in advance.
|
org.nd4j.shade.protobuf.UnknownFieldSet |
getUnknownFields() |
boolean |
hasCooSparse()
There are many possible encodings of sparse matrices
(https://en.wikipedia.org/wiki/Sparse_matrix).
|
int |
hashCode() |
boolean |
hasTensorShape()
The static shape should be recorded here, to the extent that it can
be known in advance.
|
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
static TensorInfo.Builder |
newBuilder() |
static TensorInfo.Builder |
newBuilder(TensorInfo prototype) |
TensorInfo.Builder |
newBuilderForType() |
protected TensorInfo.Builder |
newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent) |
protected Object |
newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused) |
static TensorInfo |
parseDelimitedFrom(InputStream input) |
static TensorInfo |
parseDelimitedFrom(InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static TensorInfo |
parseFrom(byte[] data) |
static TensorInfo |
parseFrom(byte[] data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static TensorInfo |
parseFrom(ByteBuffer data) |
static TensorInfo |
parseFrom(ByteBuffer data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static TensorInfo |
parseFrom(org.nd4j.shade.protobuf.ByteString data) |
static TensorInfo |
parseFrom(org.nd4j.shade.protobuf.ByteString data,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static TensorInfo |
parseFrom(org.nd4j.shade.protobuf.CodedInputStream input) |
static TensorInfo |
parseFrom(org.nd4j.shade.protobuf.CodedInputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static TensorInfo |
parseFrom(InputStream input) |
static TensorInfo |
parseFrom(InputStream input,
org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) |
static org.nd4j.shade.protobuf.Parser<TensorInfo> |
parser() |
TensorInfo.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, 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, writeStringNoTagfindInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toStringaddAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeToclone, finalize, getClass, notify, notifyAll, wait, wait, waitpublic static final int NAME_FIELD_NUMBER
public static final int COO_SPARSE_FIELD_NUMBER
public static final int DTYPE_FIELD_NUMBER
public static final int TENSOR_SHAPE_FIELD_NUMBER
protected Object newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
newInstance in class org.nd4j.shade.protobuf.GeneratedMessageV3public final org.nd4j.shade.protobuf.UnknownFieldSet getUnknownFields()
getUnknownFields in interface org.nd4j.shade.protobuf.MessageOrBuildergetUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3public TensorInfo.EncodingCase getEncodingCase()
getEncodingCase in interface TensorInfoOrBuilderpublic String getName()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;getName in interface TensorInfoOrBuilderpublic org.nd4j.shade.protobuf.ByteString getNameBytes()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;getNameBytes in interface TensorInfoOrBuilderpublic boolean hasCooSparse()
There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4;hasCooSparse in interface TensorInfoOrBuilderpublic TensorInfo.CooSparse getCooSparse()
There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4;getCooSparse in interface TensorInfoOrBuilderpublic TensorInfo.CooSparseOrBuilder getCooSparseOrBuilder()
There are many possible encodings of sparse matrices (https://en.wikipedia.org/wiki/Sparse_matrix). Currently, TensorFlow uses only the COO encoding. This is supported and documented in the SparseTensor Python class.
.tensorflow.TensorInfo.CooSparse coo_sparse = 4;getCooSparseOrBuilder in interface TensorInfoOrBuilderpublic int getDtypeValue()
.tensorflow.DataType dtype = 2;getDtypeValue in interface TensorInfoOrBuilderpublic DataType getDtype()
.tensorflow.DataType dtype = 2;getDtype in interface TensorInfoOrBuilderpublic boolean hasTensorShape()
The static shape should be recorded here, to the extent that it can be known in advance. In the case of a SparseTensor, this field describes the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;hasTensorShape in interface TensorInfoOrBuilderpublic TensorShapeProto getTensorShape()
The static shape should be recorded here, to the extent that it can be known in advance. In the case of a SparseTensor, this field describes the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;getTensorShape in interface TensorInfoOrBuilderpublic TensorShapeProtoOrBuilder getTensorShapeOrBuilder()
The static shape should be recorded here, to the extent that it can be known in advance. In the case of a SparseTensor, this field describes the logical shape of the represented tensor (aka dense_shape).
.tensorflow.TensorShapeProto tensor_shape = 3;getTensorShapeOrBuilder in interface TensorInfoOrBuilderpublic final boolean isInitialized()
isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilderisInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
throws IOException
writeTo in interface org.nd4j.shade.protobuf.MessageLitewriteTo in class org.nd4j.shade.protobuf.GeneratedMessageV3IOExceptionpublic int getSerializedSize()
getSerializedSize in interface org.nd4j.shade.protobuf.MessageLitegetSerializedSize in class org.nd4j.shade.protobuf.GeneratedMessageV3public boolean equals(Object obj)
equals in interface org.nd4j.shade.protobuf.Messageequals in class org.nd4j.shade.protobuf.AbstractMessagepublic int hashCode()
hashCode in interface org.nd4j.shade.protobuf.MessagehashCode in class org.nd4j.shade.protobuf.AbstractMessagepublic static TensorInfo parseFrom(ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static TensorInfo parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static TensorInfo parseFrom(org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static TensorInfo parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static TensorInfo parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static TensorInfo parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static TensorInfo parseFrom(InputStream input) throws IOException
IOExceptionpublic static TensorInfo parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static TensorInfo parseDelimitedFrom(InputStream input) throws IOException
IOExceptionpublic static TensorInfo parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static TensorInfo parseFrom(org.nd4j.shade.protobuf.CodedInputStream input) throws IOException
IOExceptionpublic static TensorInfo parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic TensorInfo.Builder newBuilderForType()
newBuilderForType in interface org.nd4j.shade.protobuf.MessagenewBuilderForType in interface org.nd4j.shade.protobuf.MessageLitepublic static TensorInfo.Builder newBuilder()
public static TensorInfo.Builder newBuilder(TensorInfo prototype)
public TensorInfo.Builder toBuilder()
toBuilder in interface org.nd4j.shade.protobuf.MessagetoBuilder in interface org.nd4j.shade.protobuf.MessageLiteprotected TensorInfo.Builder newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType in class org.nd4j.shade.protobuf.GeneratedMessageV3public static TensorInfo getDefaultInstance()
public static org.nd4j.shade.protobuf.Parser<TensorInfo> parser()
public org.nd4j.shade.protobuf.Parser<TensorInfo> getParserForType()
getParserForType in interface org.nd4j.shade.protobuf.MessagegetParserForType in interface org.nd4j.shade.protobuf.MessageLitegetParserForType in class org.nd4j.shade.protobuf.GeneratedMessageV3public TensorInfo getDefaultInstanceForType()
getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilderCopyright © 2021. All rights reserved.