public final class TensorShapeProto extends org.nd4j.shade.protobuf.GeneratedMessageV3 implements TensorShapeProtoOrBuilder
Dimensions of a tensor.Protobuf type
tensorflow.TensorShapeProto| Modifier and Type | Class and Description |
|---|---|
static class |
TensorShapeProto.Builder
Dimensions of a tensor.
|
static class |
TensorShapeProto.Dim
One dimension of the tensor.
|
static interface |
TensorShapeProto.DimOrBuilder |
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 |
DIM_FIELD_NUMBER |
static int |
UNKNOWN_RANK_FIELD_NUMBER |
| Modifier and Type | Method and 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(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 TensorShapeProto |
parseFrom(InputStream input) |
static TensorShapeProto |
parseFrom(InputStream 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) |
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 DIM_FIELD_NUMBER
public static final int UNKNOWN_RANK_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 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;getDimList in interface TensorShapeProtoOrBuilderpublic 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;getDimOrBuilderList in interface TensorShapeProtoOrBuilderpublic 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;getDimCount in interface TensorShapeProtoOrBuilderpublic 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;getDim in interface TensorShapeProtoOrBuilderpublic 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;getDimOrBuilder in interface TensorShapeProtoOrBuilderpublic boolean getUnknownRank()
If true, the number of dimensions in the shape is unknown. If true, "dim.size()" must be 0.
bool unknown_rank = 3;getUnknownRank in interface TensorShapeProtoOrBuilderpublic 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 TensorShapeProto parseFrom(ByteBuffer data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static TensorShapeProto parseFrom(ByteBuffer data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static TensorShapeProto parseFrom(org.nd4j.shade.protobuf.ByteString data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static TensorShapeProto 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 TensorShapeProto parseFrom(byte[] data) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static TensorShapeProto parseFrom(byte[] data, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws org.nd4j.shade.protobuf.InvalidProtocolBufferException
org.nd4j.shade.protobuf.InvalidProtocolBufferExceptionpublic static TensorShapeProto parseFrom(InputStream input) throws IOException
IOExceptionpublic static TensorShapeProto parseFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static TensorShapeProto parseDelimitedFrom(InputStream input) throws IOException
IOExceptionpublic static TensorShapeProto parseDelimitedFrom(InputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic static TensorShapeProto parseFrom(org.nd4j.shade.protobuf.CodedInputStream input) throws IOException
IOExceptionpublic static TensorShapeProto parseFrom(org.nd4j.shade.protobuf.CodedInputStream input, org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
IOExceptionpublic TensorShapeProto.Builder newBuilderForType()
newBuilderForType in interface org.nd4j.shade.protobuf.MessagenewBuilderForType in interface org.nd4j.shade.protobuf.MessageLitepublic static TensorShapeProto.Builder newBuilder()
public static TensorShapeProto.Builder newBuilder(TensorShapeProto prototype)
public TensorShapeProto.Builder toBuilder()
toBuilder in interface org.nd4j.shade.protobuf.MessagetoBuilder in interface org.nd4j.shade.protobuf.MessageLiteprotected TensorShapeProto.Builder newBuilderForType(org.nd4j.shade.protobuf.GeneratedMessageV3.BuilderParent parent)
newBuilderForType in class org.nd4j.shade.protobuf.GeneratedMessageV3public static TensorShapeProto getDefaultInstance()
public static org.nd4j.shade.protobuf.Parser<TensorShapeProto> parser()
public org.nd4j.shade.protobuf.Parser<TensorShapeProto> getParserForType()
getParserForType in interface org.nd4j.shade.protobuf.MessagegetParserForType in interface org.nd4j.shade.protobuf.MessageLitegetParserForType in class org.nd4j.shade.protobuf.GeneratedMessageV3public TensorShapeProto getDefaultInstanceForType()
getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilderCopyright © 2021. All rights reserved.