classe finale pubblica TensorShapeProto
Dimensions of a tensor.Tipo protobuf
tensorflow.TensorShapeProto
Classi nidificate
classe | TensorShapeProto.Builder | Dimensions of a tensor. | |
classe | TensorShapeProto.Dim | One dimension of the tensor. | |
interfaccia | TensorShapeProto.DimOrBuilder |
Costanti
int | DIM_FIELD_NUMBER | |
int | UNKNOWN_RANK_FIELD_NUMBER |
Metodi pubblici
booleano | è uguale a (Oggetto oggetto) |
TensorShapeProto statico | |
TensorShapeProto | |
com.google.protobuf.Descriptors.Descriptor statico finale | |
TensorShapeProto.Dim | getDim (indice int) 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. |
Elenco< TensorShapeProto.Dim > | getDimLista () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor. |
TensorShapeProto.DimOrBuilder | getDimOrBuilder (indice int) Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor. |
Elenco<? estende TensorShapeProto.DimOrBuilder > | getDimOrBuilderList () Dimensions of the tensor, such as {"input", 30}, {"output", 40} for a 30 x 40 2D tensor. |
int | |
finale com.google.protobuf.UnknownFieldSet | |
booleano | getUnknownRank () If true, the number of dimensions in the shape is unknown. |
int | codice hash () |
booleano finale | |
TensorShapeProto.Builder statico | newBuilder (prototipo TensorShapeProto ) |
TensorShapeProto.Builder statico | |
TensorShapeProto.Builder | |
TensorShapeProto statico | parseDelimitedFrom (input InputStream) |
TensorShapeProto statico | parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorShapeProto statico | parseFrom (dati ByteBuffer) |
TensorShapeProto statico | parseFrom (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry) |
TensorShapeProto statico | parseFrom (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorShapeProto statico | parseFrom (ingresso com.google.protobuf.CodedInputStream) |
TensorShapeProto statico | parseFrom (byte[] dati, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorShapeProto statico | parseFrom (dati com.google.protobuf.ByteString) |
TensorShapeProto statico | parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
TensorShapeProto statico | parseFrom (dati com.google.protobuf.ByteString, estensione com.google.protobuf.ExtensionRegistryLiteRegistry) |
statico | analizzatore () |
TensorShapeProto.Builder | toBuilder () |
vuoto | writeTo (output com.google.protobuf.CodedOutputStream) |
Metodi ereditati
Costanti
public static final int DIM_FIELD_NUMBER
Valore costante: 2
public static final int UNKNOWN_RANK_FIELD_NUMBER
Valore costante: 3
Metodi pubblici
booleano pubblico è uguale a (Oggetto obj)
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor ()
public TensorShapeProto.Dim getDim (indice int)
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;
pubblico 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;
Elenco pubblico< 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;
public TensorShapeProto.DimOrBuilder getDimOrBuilder (indice int)
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;
Elenco pubblico<? estende 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;
pubblico getParserForType ()
public int getSerializedSize ()
pubblico finale com.google.protobuf.UnknownFieldSet getUnknownFields ()
booleano pubblico getUnknownRank ()
If true, the number of dimensions in the shape is unknown. If true, "dim.size()" must be 0.
bool unknown_rank = 3;
public int hashCode ()
public final booleano isInitialized ()
pubblico statico TensorShapeProto parseDelimitedFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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parseFrom pubblico statico TensorShapeProto (input com.google.protobuf.CodedInputStream, estensione com.google.protobuf.ExtensionRegistryLiteRegistry)
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IOException |
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parseFrom pubblico statico TensorShapeProto (dati ByteBuffer, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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InvalidProtocolBufferException |
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parseFrom pubblico statico TensorShapeProto (input com.google.protobuf.CodedInputStream)
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IOException |
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pubblico statico TensorShapeProto parseFrom (byte[] data, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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InvalidProtocolBufferException |
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parseFrom pubblico statico TensorShapeProto (dati com.google.protobuf.ByteString)
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InvalidProtocolBufferException |
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pubblico statico TensorShapeProto parseFrom (input InputStream, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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IOException |
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pubblico statico TensorShapeProto parseFrom (dati com.google.protobuf.ByteString, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
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InvalidProtocolBufferException |
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pubblico statico analizzatore ()
public void writeTo (output com.google.protobuf.CodedOutputStream)
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IOException |
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