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, 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, 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 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.GeneratedMessageV3
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 TensorInfo.EncodingCase getEncodingCase()
getEncodingCase
in interface TensorInfoOrBuilder
public String getName()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;
getName
in interface TensorInfoOrBuilder
public org.nd4j.shade.protobuf.ByteString getNameBytes()
For dense `Tensor`s, the name of the tensor in the graph.
string name = 1;
getNameBytes
in interface TensorInfoOrBuilder
public 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 TensorInfoOrBuilder
public 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 TensorInfoOrBuilder
public 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 TensorInfoOrBuilder
public int getDtypeValue()
.tensorflow.DataType dtype = 2;
getDtypeValue
in interface TensorInfoOrBuilder
public DataType getDtype()
.tensorflow.DataType dtype = 2;
getDtype
in interface TensorInfoOrBuilder
public 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 TensorInfoOrBuilder
public 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 TensorInfoOrBuilder
public 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 TensorInfoOrBuilder
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 TensorInfo parseFrom(ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferException
public static TensorInfo parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferException
public static TensorInfo parseFrom(org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferException
public 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.InvalidProtocolBufferException
public static TensorInfo parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferException
public static TensorInfo parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferException
public static TensorInfo parseFrom(InputStream input) throws IOException
IOException
public static TensorInfo parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOException
public static TensorInfo parseDelimitedFrom(InputStream input) throws IOException
IOException
public static TensorInfo parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOException
public static TensorInfo parseFrom(org.nd4j.shade.protobuf.CodedInputStream input) throws IOException
IOException
public static TensorInfo parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOException
public TensorInfo.Builder newBuilderForType()
newBuilderForType
in interface org.nd4j.shade.protobuf.Message
newBuilderForType
in interface org.nd4j.shade.protobuf.MessageLite
public static TensorInfo.Builder newBuilder()
public static TensorInfo.Builder newBuilder(TensorInfo prototype)
public TensorInfo.Builder toBuilder()
toBuilder
in interface org.nd4j.shade.protobuf.Message
toBuilder
in interface org.nd4j.shade.protobuf.MessageLite
protected TensorInfo.Builder newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType
in class org.nd4j.shade.protobuf.GeneratedMessageV3
public 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.Message
getParserForType
in interface org.nd4j.shade.protobuf.MessageLite
getParserForType
in class org.nd4j.shade.protobuf.GeneratedMessageV3
public TensorInfo getDefaultInstanceForType()
getDefaultInstanceForType
in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder
getDefaultInstanceForType
in interface org.nd4j.shade.protobuf.MessageOrBuilder
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