Package org.tensorflow.framework
Class TensorShapeProto
- java.lang.Object
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- org.nd4j.shade.protobuf.AbstractMessageLite
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- org.nd4j.shade.protobuf.AbstractMessage
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- org.nd4j.shade.protobuf.GeneratedMessageV3
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- org.tensorflow.framework.TensorShapeProto
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- All Implemented Interfaces:
Serializable
,org.nd4j.shade.protobuf.Message
,org.nd4j.shade.protobuf.MessageLite
,org.nd4j.shade.protobuf.MessageLiteOrBuilder
,org.nd4j.shade.protobuf.MessageOrBuilder
,TensorShapeProtoOrBuilder
public final class TensorShapeProto extends org.nd4j.shade.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 class
TensorShapeProto.Builder
Dimensions of a tensor.static class
TensorShapeProto.Dim
One dimension of the tensor.static interface
TensorShapeProto.DimOrBuilder
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Nested classes/interfaces inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3
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
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Field Summary
Fields Modifier and Type Field Description static int
DIM_FIELD_NUMBER
static int
UNKNOWN_RANK_FIELD_NUMBER
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description boolean
equals(Object obj)
static TensorShapeProto
getDefaultInstance()
TensorShapeProto
getDefaultInstanceForType()
static org.nd4j.shade.protobuf.Descriptors.Descriptor
getDescriptor()
TensorShapeProto.Dim
getDim(int index)
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.int
getDimCount()
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.List<TensorShapeProto.Dim>
getDimList()
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.TensorShapeProto.DimOrBuilder
getDimOrBuilder(int index)
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.List<? extends TensorShapeProto.DimOrBuilder>
getDimOrBuilderList()
Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor.org.nd4j.shade.protobuf.Parser<TensorShapeProto>
getParserForType()
int
getSerializedSize()
org.nd4j.shade.protobuf.UnknownFieldSet
getUnknownFields()
boolean
getUnknownRank()
If true, the number of dimensions in the shape is unknown.int
hashCode()
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable()
boolean
isInitialized()
static TensorShapeProto.Builder
newBuilder()
static TensorShapeProto.Builder
newBuilder(TensorShapeProto prototype)
TensorShapeProto.Builder
newBuilderForType()
protected TensorShapeProto.Builder
newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
protected Object
newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
static TensorShapeProto
parseDelimitedFrom(InputStream input)
static TensorShapeProto
parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static TensorShapeProto
parseFrom(byte[] data)
static TensorShapeProto
parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static TensorShapeProto
parseFrom(InputStream input)
static TensorShapeProto
parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static TensorShapeProto
parseFrom(ByteBuffer data)
static TensorShapeProto
parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static TensorShapeProto
parseFrom(org.nd4j.shade.protobuf.ByteString data)
static TensorShapeProto
parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static TensorShapeProto
parseFrom(org.nd4j.shade.protobuf.CodedInputStream input)
static TensorShapeProto
parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
static org.nd4j.shade.protobuf.Parser<TensorShapeProto>
parser()
TensorShapeProto.Builder
toBuilder()
void
writeTo(org.nd4j.shade.protobuf.CodedOutputStream output)
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Methods inherited from class org.nd4j.shade.protobuf.GeneratedMessageV3
canUseUnsafe, computeStringSize, computeStringSizeNoTag, emptyBooleanList, emptyDoubleList, emptyFloatList, emptyIntList, emptyLongList, getAllFields, getDescriptorForType, getField, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, hasField, hasOneof, internalGetMapField, isStringEmpty, 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 org.nd4j.shade.protobuf.AbstractMessage
findInitializationErrors, getInitializationErrorString, hashBoolean, hashEnum, hashEnumList, hashFields, hashLong, toString
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Methods inherited from class org.nd4j.shade.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 Object newInstance(org.nd4j.shade.protobuf.GeneratedMessageV3.UnusedPrivateParameter unused)
- Overrides:
newInstance
in classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getUnknownFields
public final org.nd4j.shade.protobuf.UnknownFieldSet getUnknownFields()
- Specified by:
getUnknownFields
in interfaceorg.nd4j.shade.protobuf.MessageOrBuilder
- Overrides:
getUnknownFields
in classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getDescriptor
public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()
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internalGetFieldAccessorTable
protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
- Specified by:
internalGetFieldAccessorTable
in classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getDimList
public 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:
getDimList
in interfaceTensorShapeProtoOrBuilder
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getDimOrBuilderList
public 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:
getDimOrBuilderList
in 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:
getDimCount
in 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:
getDim
in 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:
getDimOrBuilder
in 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:
getUnknownRank
in interfaceTensorShapeProtoOrBuilder
- Returns:
- The unknownRank.
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isInitialized
public final boolean isInitialized()
- Specified by:
isInitialized
in interfaceorg.nd4j.shade.protobuf.MessageLiteOrBuilder
- Overrides:
isInitialized
in classorg.nd4j.shade.protobuf.GeneratedMessageV3
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writeTo
public void writeTo(org.nd4j.shade.protobuf.CodedOutputStream output) throws IOException
- Specified by:
writeTo
in interfaceorg.nd4j.shade.protobuf.MessageLite
- Overrides:
writeTo
in classorg.nd4j.shade.protobuf.GeneratedMessageV3
- Throws:
IOException
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getSerializedSize
public int getSerializedSize()
- Specified by:
getSerializedSize
in interfaceorg.nd4j.shade.protobuf.MessageLite
- Overrides:
getSerializedSize
in classorg.nd4j.shade.protobuf.GeneratedMessageV3
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equals
public boolean equals(Object obj)
- Specified by:
equals
in interfaceorg.nd4j.shade.protobuf.Message
- Overrides:
equals
in classorg.nd4j.shade.protobuf.AbstractMessage
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hashCode
public int hashCode()
- Specified by:
hashCode
in interfaceorg.nd4j.shade.protobuf.Message
- Overrides:
hashCode
in classorg.nd4j.shade.protobuf.AbstractMessage
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parseFrom
public static TensorShapeProto parseFrom(ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(org.nd4j.shade.protobuf.ByteString data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
- Throws:
org.nd4j.shade.protobuf.InvalidProtocolBufferException
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parseFrom
public static TensorShapeProto parseFrom(InputStream input) throws IOException
- Throws:
IOException
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parseFrom
public static TensorShapeProto parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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parseDelimitedFrom
public static TensorShapeProto parseDelimitedFrom(InputStream input) throws IOException
- Throws:
IOException
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parseDelimitedFrom
public static TensorShapeProto parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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parseFrom
public static TensorShapeProto parseFrom(org.nd4j.shade.protobuf.CodedInputStream input) throws IOException
- Throws:
IOException
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parseFrom
public static TensorShapeProto parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
- Throws:
IOException
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newBuilderForType
public TensorShapeProto.Builder newBuilderForType()
- Specified by:
newBuilderForType
in interfaceorg.nd4j.shade.protobuf.Message
- Specified by:
newBuilderForType
in interfaceorg.nd4j.shade.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:
toBuilder
in interfaceorg.nd4j.shade.protobuf.Message
- Specified by:
toBuilder
in interfaceorg.nd4j.shade.protobuf.MessageLite
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newBuilderForType
protected TensorShapeProto.Builder newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
- Specified by:
newBuilderForType
in classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getDefaultInstance
public static TensorShapeProto getDefaultInstance()
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parser
public static org.nd4j.shade.protobuf.Parser<TensorShapeProto> parser()
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getParserForType
public org.nd4j.shade.protobuf.Parser<TensorShapeProto> getParserForType()
- Specified by:
getParserForType
in interfaceorg.nd4j.shade.protobuf.Message
- Specified by:
getParserForType
in interfaceorg.nd4j.shade.protobuf.MessageLite
- Overrides:
getParserForType
in classorg.nd4j.shade.protobuf.GeneratedMessageV3
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getDefaultInstanceForType
public TensorShapeProto getDefaultInstanceForType()
- Specified by:
getDefaultInstanceForType
in interfaceorg.nd4j.shade.protobuf.MessageLiteOrBuilder
- Specified by:
getDefaultInstanceForType
in interfaceorg.nd4j.shade.protobuf.MessageOrBuilder
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