Package org.tensorflow.framework

Interface TensorShapeProtoOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
TensorShapeProto, TensorShapeProto.Builder
public interface TensorShapeProtoOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Summary

    Modifier and Type
    Method
    Description
    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.
    boolean
    getUnknownRank()
    If true, the number of dimensions in the shape is unknown.

    Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

    isInitialized

    Methods inherited from interface com.google.protobuf.MessageOrBuilder

    findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

  • Method Details

    • getDimList

      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;

    • getDim

      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;

    • getDimCount

      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;

    • getDimOrBuilderList

      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;

    • getDimOrBuilder

      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;

    • getUnknownRank

      boolean getUnknownRank()
       If true, the number of dimensions in the shape is unknown.

 If true, "dim.size()" must be 0.
      bool unknown_rank = 3;
      Returns:
      The unknownRank.