Package org.tensorflow.framework
Class TensorShapeProto
- java.lang.Object
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- com.google.protobuf.AbstractMessageLite
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- com.google.protobuf.AbstractMessage
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- com.google.protobuf.GeneratedMessageV3
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- org.tensorflow.framework.TensorShapeProto
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- All Implemented Interfaces:
com.google.protobuf.Message,com.google.protobuf.MessageLite,com.google.protobuf.MessageLiteOrBuilder,com.google.protobuf.MessageOrBuilder,java.io.Serializable,TensorShapeProtoOrBuilder
public final class TensorShapeProto extends com.google.protobuf.GeneratedMessageV3 implements TensorShapeProtoOrBuilder
Dimensions of a tensor.
Protobuf typetensorflow.TensorShapeProto- See Also:
- Serialized Form
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Nested Class Summary
Nested Classes Modifier and Type Class Description static classTensorShapeProto.BuilderDimensions of a tensor.static classTensorShapeProto.DimOne dimension of the tensor.static interfaceTensorShapeProto.DimOrBuilder-
Nested classes/interfaces inherited from class com.google.protobuf.GeneratedMessageV3
com.google.protobuf.GeneratedMessageV3.BuilderParent, com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage,BuilderType extends com.google.protobuf.GeneratedMessageV3.ExtendableBuilder<MessageType,BuilderType>>, com.google.protobuf.GeneratedMessageV3.ExtendableMessage<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.ExtendableMessageOrBuilder<MessageType extends com.google.protobuf.GeneratedMessageV3.ExtendableMessage>, com.google.protobuf.GeneratedMessageV3.FieldAccessorTable, com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter
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Field Summary
Fields Modifier and Type Field Description static intDIM_FIELD_NUMBERstatic intUNKNOWN_RANK_FIELD_NUMBER
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description booleanequals(java.lang.Object obj)static TensorShapeProtogetDefaultInstance()TensorShapeProtogetDefaultInstanceForType()static com.google.protobuf.Descriptors.DescriptorgetDescriptor()TensorShapeProto.DimgetDim(int index)Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.intgetDimCount()Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.java.util.List<TensorShapeProto.Dim>getDimList()Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.TensorShapeProto.DimOrBuildergetDimOrBuilder(int index)Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.java.util.List<? extends TensorShapeProto.DimOrBuilder>getDimOrBuilderList()Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.com.google.protobuf.Parser<TensorShapeProto>getParserForType()intgetSerializedSize()com.google.protobuf.UnknownFieldSetgetUnknownFields()booleangetUnknownRank()If true, the number of dimensions in the shape is unknown.inthashCode()protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTableinternalGetFieldAccessorTable()booleanisInitialized()static TensorShapeProto.BuildernewBuilder()static TensorShapeProto.BuildernewBuilder(TensorShapeProto prototype)TensorShapeProto.BuildernewBuilderForType()protected TensorShapeProto.BuildernewBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)protected java.lang.ObjectnewInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)static TensorShapeProtoparseDelimitedFrom(java.io.InputStream input)static TensorShapeProtoparseDelimitedFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static TensorShapeProtoparseFrom(byte[] data)static TensorShapeProtoparseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static TensorShapeProtoparseFrom(com.google.protobuf.ByteString data)static TensorShapeProtoparseFrom(com.google.protobuf.ByteString data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static TensorShapeProtoparseFrom(com.google.protobuf.CodedInputStream input)static TensorShapeProtoparseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static TensorShapeProtoparseFrom(java.io.InputStream input)static TensorShapeProtoparseFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static TensorShapeProtoparseFrom(java.nio.ByteBuffer data)static TensorShapeProtoparseFrom(java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)static com.google.protobuf.Parser<TensorShapeProto>parser()TensorShapeProto.BuildertoBuilder()voidwriteTo(com.google.protobuf.CodedOutputStream output)-
Methods inherited from class com.google.protobuf.GeneratedMessageV3
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, writeStringNoTag
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Methods inherited from class com.google.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString
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Methods inherited from class com.google.protobuf.AbstractMessageLite
addAll, addAll, checkByteStringIsUtf8, toByteArray, toByteString, writeDelimitedTo, writeTo
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Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Field Detail
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DIM_FIELD_NUMBER
public static final int DIM_FIELD_NUMBER
- See Also:
- Constant Field Values
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UNKNOWN_RANK_FIELD_NUMBER
public static final int UNKNOWN_RANK_FIELD_NUMBER
- See Also:
- Constant Field Values
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Method Detail
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newInstance
protected java.lang.Object newInstance(com.google.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
- Overrides:
newInstancein classcom.google.protobuf.GeneratedMessageV3
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getUnknownFields
public final com.google.protobuf.UnknownFieldSet getUnknownFields()
- Specified by:
getUnknownFieldsin interfacecom.google.protobuf.MessageOrBuilder- Overrides:
getUnknownFieldsin classcom.google.protobuf.GeneratedMessageV3
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getDescriptor
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
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internalGetFieldAccessorTable
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTablein classcom.google.protobuf.GeneratedMessageV3
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getDimList
public java.util.List<TensorShapeProto.Dim> getDimList()
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor. If an entry has size -1, this corresponds to a dimension of unknown size. The names are optional. The order of entries in "dim" matters: It indicates the layout of the values in the tensor in-memory representation. The first entry in "dim" is the outermost dimension used to layout the values, the last entry is the innermost dimension. This matches the in-memory layout of RowMajor Eigen tensors. If "dim.size()" > 0, "unknown_rank" must be false.repeated .tensorflow.TensorShapeProto.Dim dim = 2;- Specified by:
getDimListin interfaceTensorShapeProtoOrBuilder
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getDimOrBuilderList
public java.util.List<? extends TensorShapeProto.DimOrBuilder> getDimOrBuilderList()
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor. If an entry has size -1, this corresponds to a dimension of unknown size. The names are optional. The order of entries in "dim" matters: It indicates the layout of the values in the tensor in-memory representation. The first entry in "dim" is the outermost dimension used to layout the values, the last entry is the innermost dimension. This matches the in-memory layout of RowMajor Eigen tensors. If "dim.size()" > 0, "unknown_rank" must be false.repeated .tensorflow.TensorShapeProto.Dim dim = 2;- Specified by:
getDimOrBuilderListin interfaceTensorShapeProtoOrBuilder
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getDimCount
public int getDimCount()
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor. If an entry has size -1, this corresponds to a dimension of unknown size. The names are optional. The order of entries in "dim" matters: It indicates the layout of the values in the tensor in-memory representation. The first entry in "dim" is the outermost dimension used to layout the values, the last entry is the innermost dimension. This matches the in-memory layout of RowMajor Eigen tensors. If "dim.size()" > 0, "unknown_rank" must be false.repeated .tensorflow.TensorShapeProto.Dim dim = 2;- Specified by:
getDimCountin interfaceTensorShapeProtoOrBuilder
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getDim
public TensorShapeProto.Dim getDim(int index)
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor. If an entry has size -1, this corresponds to a dimension of unknown size. The names are optional. The order of entries in "dim" matters: It indicates the layout of the values in the tensor in-memory representation. The first entry in "dim" is the outermost dimension used to layout the values, the last entry is the innermost dimension. This matches the in-memory layout of RowMajor Eigen tensors. If "dim.size()" > 0, "unknown_rank" must be false.repeated .tensorflow.TensorShapeProto.Dim dim = 2;- Specified by:
getDimin interfaceTensorShapeProtoOrBuilder
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getDimOrBuilder
public TensorShapeProto.DimOrBuilder getDimOrBuilder(int index)
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor. If an entry has size -1, this corresponds to a dimension of unknown size. The names are optional. The order of entries in "dim" matters: It indicates the layout of the values in the tensor in-memory representation. The first entry in "dim" is the outermost dimension used to layout the values, the last entry is the innermost dimension. This matches the in-memory layout of RowMajor Eigen tensors. If "dim.size()" > 0, "unknown_rank" must be false.repeated .tensorflow.TensorShapeProto.Dim dim = 2;- Specified by:
getDimOrBuilderin interfaceTensorShapeProtoOrBuilder
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getUnknownRank
public boolean getUnknownRank()
If true, the number of dimensions in the shape is unknown. If true, "dim.size()" must be 0.
bool unknown_rank = 3;- Specified by:
getUnknownRankin interfaceTensorShapeProtoOrBuilder- Returns:
- The unknownRank.
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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
public void writeTo(com.google.protobuf.CodedOutputStream output) throws java.io.IOException- Specified by:
writeToin interfacecom.google.protobuf.MessageLite- Overrides:
writeToin classcom.google.protobuf.GeneratedMessageV3- Throws:
java.io.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
public boolean equals(java.lang.Object obj)
- 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 TensorShapeProto parseFrom(java.nio.ByteBuffer data) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(java.nio.ByteBuffer data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(com.google.protobuf.ByteString data) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto 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 TensorShapeProto parseFrom(byte[] data) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws com.google.protobuf.InvalidProtocolBufferException
- Throws:
com.google.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(java.io.InputStream input) throws java.io.IOException
- Throws:
java.io.IOException
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parseFrom
public static TensorShapeProto parseFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
- Throws:
java.io.IOException
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parseDelimitedFrom
public static TensorShapeProto parseDelimitedFrom(java.io.InputStream input) throws java.io.IOException
- Throws:
java.io.IOException
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parseDelimitedFrom
public static TensorShapeProto parseDelimitedFrom(java.io.InputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
- Throws:
java.io.IOException
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parseFrom
public static TensorShapeProto parseFrom(com.google.protobuf.CodedInputStream input) throws java.io.IOException
- Throws:
java.io.IOException
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parseFrom
public static TensorShapeProto parseFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws java.io.IOException
- Throws:
java.io.IOException
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newBuilderForType
public TensorShapeProto.Builder newBuilderForType()
- Specified by:
newBuilderForTypein interfacecom.google.protobuf.Message- Specified by:
newBuilderForTypein interfacecom.google.protobuf.MessageLite
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newBuilder
public static TensorShapeProto.Builder newBuilder()
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newBuilder
public static TensorShapeProto.Builder newBuilder(TensorShapeProto prototype)
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toBuilder
public TensorShapeProto.Builder toBuilder()
- Specified by:
toBuilderin interfacecom.google.protobuf.Message- Specified by:
toBuilderin interfacecom.google.protobuf.MessageLite
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newBuilderForType
protected TensorShapeProto.Builder newBuilderForType(com.google.protobuf.GeneratedMessageV3.BuilderParent parent)
- Specified by:
newBuilderForTypein classcom.google.protobuf.GeneratedMessageV3
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getDefaultInstance
public static TensorShapeProto getDefaultInstance()
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parser
public static com.google.protobuf.Parser<TensorShapeProto> parser()
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getParserForType
public com.google.protobuf.Parser<TensorShapeProto> 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
public TensorShapeProto getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageLiteOrBuilder- Specified by:
getDefaultInstanceForTypein interfacecom.google.protobuf.MessageOrBuilder
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