Package onnx
Class Onnx.SparseTensorProto
java.lang.Object
com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessage
com.google.protobuf.GeneratedMessageV3
onnx.Onnx.SparseTensorProto
- All Implemented Interfaces:
com.google.protobuf.Message,com.google.protobuf.MessageLite,com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder,Serializable,Onnx.SparseTensorProtoOrBuilder
- Enclosing class:
- Onnx
public static final class Onnx.SparseTensorProto
extends com.google.protobuf.GeneratedMessageV3
implements Onnx.SparseTensorProtoOrBuilder
A serialized sparse-tensor valueProtobuf type
onnx.SparseTensorProto- See Also:
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Nested Class Summary
Nested ClassesModifier and TypeClassDescriptionstatic final classA serialized sparse-tensor valueNested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>,BuilderT extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageT, BuilderT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageT extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageT>>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter Nested classes/interfaces inherited from class com.google.protobuf.AbstractMessageLite
com.google.protobuf.AbstractMessageLite.InternalOneOfEnum -
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final intstatic final intstatic final com.google.protobuf.Parser<Onnx.SparseTensorProto>Deprecated.static final intFields inherited from class com.google.protobuf.GeneratedMessageV3
alwaysUseFieldBuilders, unknownFieldsFields inherited from class com.google.protobuf.AbstractMessage
memoizedSizeFields inherited from class com.google.protobuf.AbstractMessageLite
memoizedHashCode -
Method Summary
Modifier and TypeMethodDescriptionbooleanstatic Onnx.SparseTensorProtostatic final com.google.protobuf.Descriptors.DescriptorlonggetDims(int index) The shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]intThe shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]The shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]The indices of the non-default values, which may be stored in one of two formats.The indices of the non-default values, which may be stored in one of two formats.com.google.protobuf.Parser<Onnx.SparseTensorProto>intThe sequence of non-default values are encoded as a tensor of shape [NNZ].The sequence of non-default values are encoded as a tensor of shape [NNZ].inthashCode()booleanThe indices of the non-default values, which may be stored in one of two formats.booleanThe sequence of non-default values are encoded as a tensor of shape [NNZ].protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTablefinal booleannewBuilder(Onnx.SparseTensorProto prototype) protected Onnx.SparseTensorProto.BuildernewBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) protected ObjectnewInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused) static Onnx.SparseTensorProtoparseDelimitedFrom(InputStream input) static Onnx.SparseTensorProtoparseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.SparseTensorProtoparseFrom(byte[] data) static Onnx.SparseTensorProtoparseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.SparseTensorProtoparseFrom(com.google.protobuf.ByteString data) static Onnx.SparseTensorProtoparseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.SparseTensorProtoparseFrom(com.google.protobuf.CodedInputStream input) static Onnx.SparseTensorProtoparseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.SparseTensorProtoparseFrom(InputStream input) static Onnx.SparseTensorProtoparseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static Onnx.SparseTensorProtoparseFrom(ByteBuffer data) static Onnx.SparseTensorProtoparseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) static com.google.protobuf.Parser<Onnx.SparseTensorProto>parser()voidwriteTo(com.google.protobuf.CodedOutputStream output) Methods inherited from class com.google.protobuf.GeneratedMessageV3
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, isStringEmpty, makeExtensionsImmutable, makeMutableCopy, makeMutableCopy, 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, writeStringNoTagMethods inherited from class com.google.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toStringMethods inherited from class com.google.protobuf.AbstractMessageLite
addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeToMethods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, waitMethods inherited from interface com.google.protobuf.MessageLite
toByteArray, toByteString, writeDelimitedTo, writeToMethods inherited from interface com.google.protobuf.MessageOrBuilder
findInitializationErrors, getAllFields, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof
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Field Details
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VALUES_FIELD_NUMBER
public static final int VALUES_FIELD_NUMBER- See Also:
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INDICES_FIELD_NUMBER
public static final int INDICES_FIELD_NUMBER- See Also:
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DIMS_FIELD_NUMBER
public static final int DIMS_FIELD_NUMBER- See Also:
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PARSER
Deprecated.
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Method Details
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newInstance
- Overrides:
newInstancein classcom.google.protobuf.GeneratedMessageV3
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() -
internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()- Specified by:
internalGetFieldAccessorTablein classcom.google.protobuf.GeneratedMessageV3
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hasValues
public boolean hasValues()The sequence of non-default values are encoded as a tensor of shape [NNZ]. The default-value is zero for numeric tensors, and empty-string for string tensors. values must have a non-empty name present which serves as a name for SparseTensorProto when used in sparse_initializer list.
optional .onnx.TensorProto values = 1;- Specified by:
hasValuesin interfaceOnnx.SparseTensorProtoOrBuilder- Returns:
- Whether the values field is set.
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getValues
The sequence of non-default values are encoded as a tensor of shape [NNZ]. The default-value is zero for numeric tensors, and empty-string for string tensors. values must have a non-empty name present which serves as a name for SparseTensorProto when used in sparse_initializer list.
optional .onnx.TensorProto values = 1;- Specified by:
getValuesin interfaceOnnx.SparseTensorProtoOrBuilder- Returns:
- The values.
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getValuesOrBuilder
The sequence of non-default values are encoded as a tensor of shape [NNZ]. The default-value is zero for numeric tensors, and empty-string for string tensors. values must have a non-empty name present which serves as a name for SparseTensorProto when used in sparse_initializer list.
optional .onnx.TensorProto values = 1;- Specified by:
getValuesOrBuilderin interfaceOnnx.SparseTensorProtoOrBuilder
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hasIndices
public boolean hasIndices()The indices of the non-default values, which may be stored in one of two formats. (a) Indices can be a tensor of shape [NNZ, rank] with the [i,j]-th value corresponding to the j-th index of the i-th value (in the values tensor). (b) Indices can be a tensor of shape [NNZ], in which case the i-th value must be the linearized-index of the i-th value (in the values tensor). The linearized-index can be converted into an index tuple (k_1,...,k_rank) using the shape provided below. The indices must appear in ascending order without duplication. In the first format, the ordering is lexicographic-ordering: e.g., index-value [1,4] must appear before [2,1]
optional .onnx.TensorProto indices = 2;- Specified by:
hasIndicesin interfaceOnnx.SparseTensorProtoOrBuilder- Returns:
- Whether the indices field is set.
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getIndices
The indices of the non-default values, which may be stored in one of two formats. (a) Indices can be a tensor of shape [NNZ, rank] with the [i,j]-th value corresponding to the j-th index of the i-th value (in the values tensor). (b) Indices can be a tensor of shape [NNZ], in which case the i-th value must be the linearized-index of the i-th value (in the values tensor). The linearized-index can be converted into an index tuple (k_1,...,k_rank) using the shape provided below. The indices must appear in ascending order without duplication. In the first format, the ordering is lexicographic-ordering: e.g., index-value [1,4] must appear before [2,1]
optional .onnx.TensorProto indices = 2;- Specified by:
getIndicesin interfaceOnnx.SparseTensorProtoOrBuilder- Returns:
- The indices.
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getIndicesOrBuilder
The indices of the non-default values, which may be stored in one of two formats. (a) Indices can be a tensor of shape [NNZ, rank] with the [i,j]-th value corresponding to the j-th index of the i-th value (in the values tensor). (b) Indices can be a tensor of shape [NNZ], in which case the i-th value must be the linearized-index of the i-th value (in the values tensor). The linearized-index can be converted into an index tuple (k_1,...,k_rank) using the shape provided below. The indices must appear in ascending order without duplication. In the first format, the ordering is lexicographic-ordering: e.g., index-value [1,4] must appear before [2,1]
optional .onnx.TensorProto indices = 2;- Specified by:
getIndicesOrBuilderin interfaceOnnx.SparseTensorProtoOrBuilder
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getDimsList
The shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]
repeated int64 dims = 3;- Specified by:
getDimsListin interfaceOnnx.SparseTensorProtoOrBuilder- Returns:
- A list containing the dims.
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getDimsCount
public int getDimsCount()The shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]
repeated int64 dims = 3;- Specified by:
getDimsCountin interfaceOnnx.SparseTensorProtoOrBuilder- Returns:
- The count of dims.
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getDims
public long getDims(int index) The shape of the underlying dense-tensor: [dim_1, dim_2, ... dim_rank]
repeated int64 dims = 3;- Specified by:
getDimsin interfaceOnnx.SparseTensorProtoOrBuilder- Parameters:
index- The index of the element to return.- Returns:
- The dims at the given index.
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isInitialized
public final boolean isInitialized()- Specified by:
isInitializedin interfacecom.google.protobuf.MessageLiteOrBuilder- Overrides:
isInitializedin classcom.google.protobuf.GeneratedMessageV3
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writeTo
- Specified by:
writeToin interfacecom.google.protobuf.MessageLite- Overrides:
writeToin classcom.google.protobuf.GeneratedMessageV3- Throws:
IOException
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getSerializedSize
public int getSerializedSize()- Specified by:
getSerializedSizein interfacecom.google.protobuf.MessageLite- Overrides:
getSerializedSizein classcom.google.protobuf.GeneratedMessageV3
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equals
- Specified by:
equalsin interfacecom.google.protobuf.Message- Overrides:
equalsin classcom.google.protobuf.AbstractMessage
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hashCode
public int hashCode()- Specified by:
hashCodein interfacecom.google.protobuf.Message- Overrides:
hashCodein classcom.google.protobuf.AbstractMessage
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parseFrom
public static Onnx.SparseTensorProto parseFrom(ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static Onnx.SparseTensorProto parseFrom(ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static Onnx.SparseTensorProto parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static Onnx.SparseTensorProto parseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static Onnx.SparseTensorProto parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static Onnx.SparseTensorProto parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException - Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
- Throws:
IOException
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parseFrom
public static Onnx.SparseTensorProto parseFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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parseDelimitedFrom
- Throws:
IOException
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parseDelimitedFrom
public static Onnx.SparseTensorProto parseDelimitedFrom(InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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parseFrom
public static Onnx.SparseTensorProto parseFrom(com.google.protobuf.CodedInputStream input) throws IOException - Throws:
IOException
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parseFrom
public static Onnx.SparseTensorProto parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException - Throws:
IOException
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newBuilderForType
- Specified by:
newBuilderForTypein interfacecom.google.protobuf.Message- Specified by:
newBuilderForTypein interfacecom.google.protobuf.MessageLite
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newBuilder
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newBuilder
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toBuilder
- Specified by:
toBuilderin interfacecom.google.protobuf.Message- Specified by:
toBuilderin interfacecom.google.protobuf.MessageLite
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newBuilderForType
protected Onnx.SparseTensorProto.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent) - Specified by:
newBuilderForTypein classcom.google.protobuf.GeneratedMessageV3
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getDefaultInstance
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parser
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getParserForType
- Specified by:
getParserForTypein interfacecom.google.protobuf.Message- Specified by:
getParserForTypein interfacecom.google.protobuf.MessageLite- Overrides:
getParserForTypein classcom.google.protobuf.GeneratedMessageV3
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getDefaultInstanceForType
- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageLiteOrBuilder- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageOrBuilder
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