1 files changed, 0 insertions, 136 deletions
diff --git a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_descriptors.i b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_descriptors.i
index 755d3c50e9..9374945daf 100644
--- a/python/pyarmnn/src/pyarmnn/swig/modules/armnn_descriptors.i
+++ b/python/pyarmnn/src/pyarmnn/swig/modules/armnn_descriptors.i
@@ -91,104 +91,6 @@ struct ArgMinMaxDescriptor
 
 %feature("docstring",
     "
-    A descriptor for the BatchMatMul layer.  See `INetwork.AddBatchMatMulLayer()`.
-
-    Contains:
-        m_TransposeX (bool): Transpose the slices of input tensor X. Transpose and Adjoint can not both be set to true for the same tensor at the same time.
-        m_TransposeY (bool): Transpose the slices of input tensor Y. Transpose and Adjoint can not both be set to true for the same tensor at the same time.
-        m_AdjointX (bool): Adjoint the slices of input tensor X. Transpose and Adjoint can not both be set to true for the same tensor at the same time.
-        m_AdjointY (bool): Adjoint the slices of input tensor Y. Transpose and Adjoint can not both be set to true for the same tensor at the same time.
-        m_DataLayoutX (DataLayout): Data layout of input tensor X, such as NHWC/NDHWC (leave as default for arbitrary layout).
-        m_DatalayoutY (DataLayout):  Data layout of input tensor X, such as NHWC/NDHWC (leave as default for arbitrary layout)
-    ") BatchMatMulDescriptor;
-struct BatchMatMulDescriptor
-{
-    BatchMatMulDescriptor(bool transposeX = false,
-            bool transposeY = false,
-            bool adjointX = false,
-            bool adjointY = false,
-            DataLayout dataLayoutX = DataLayout::NCHW,
-            DataLayout dataLayoutY = DataLayout::NCHW)
-    : m_TransposeX(transposeX)
-            , m_TransposeY(transposeY)
-            , m_AdjointX(adjointX)
-            , m_AdjointY(adjointY)
-            , m_DataLayoutX(dataLayoutX)
-            , m_DataLayoutY(dataLayoutY)
-    {}
-
-    bool operator ==(const BatchMatMulDescriptor &rhs)  const
-    {
-        return m_TransposeX == rhs.m_TransposeX &&
-               m_TransposeY == rhs.m_TransposeY &&
-               m_AdjointX == rhs.m_AdjointX &&
-               m_AdjointY == rhs.m_AdjointY &&
-               m_DataLayoutX == rhs.m_DataLayoutX &&
-               m_DataLayoutY == rhs.m_DataLayoutY;
-    }
-
-    bool m_TransposeX;
-    bool m_TransposeY;
-    bool m_AdjointX;
-    bool m_AdjointY;
-    DataLayout m_DataLayoutX;
-    DataLayout m_DataLayoutY;
-
-    static std::pair<std::pair<unsigned int, unsigned int>, std::pair<unsigned int, unsigned int>> GetAxesToMul(
-            const BatchMatMulDescriptor& desc,
-            const armnn::TensorShape& tensorXShape,
-            const armnn::TensorShape& tensorYShape);
-
-    static std::pair<std::vector<unsigned int>, std::vector<unsigned int>> GetAxesNotMul(
-            const BatchMatMulDescriptor& desc,
-            const armnn::TensorShape& inputXShape,
-            const armnn::TensorShape& inputYShape);
-
-    %feature("docstring",
-     "
-     Static helper to get the two axes (for each input) for multiplication
-     Args:
-            dataLayout (DataLayout)
-            tensorShape (TensorShape)
-
-    Returns:
-            std::pair<unsigned int, unsigned int>
-    ") GetAxesToMul;
-    static std::pair<unsigned int, unsigned int> GetAxesToMul(
-            DataLayout dataLayout,
-            const TensorShape& tensorShape);
-
-    %feature("docstring",
-     "
-    Static helper to get the two axes (for each input) that will not be multiplied together
-    Args:
-            dataLayout (DataLayout)
-            tensorShape (TensorShape)
-
-    Returns:
-            std::vector<unsigned int>
-    ") GetAxesToNotMul;
-    static std::vector<unsigned int> GetAxesNotMul(
-            DataLayout dataLayout,
-            const TensorShape& tensorShape);
-
-    %feature("docstring",
-     "
-    Static helper to get the axes which will be transposed
-    Args:
-            dataLayout (DataLayout)
-            tensorShape (TensorShape)
-
-    Returns:
-            PermutationVector
-    ") GetPermuteVec;
-    static PermutationVector GetPermuteVec(
-            armnn::DataLayout dataLayout,
-            const armnn::TensorShape& tensorShape);
-};
-
-%feature("docstring",
-    "
     A descriptor for the BatchNormalization layer.  See `INetwork.AddBatchNormalizationLayer()`.
 
     Contains:
@@ -777,26 +679,6 @@ struct PadDescriptor
 
 %feature("docstring",
     "
-    A descriptor for the ElementwiseBinary layer. See `INetwork.AddElementwiseBinaryLayer()`.
-    Contains:
-        m_Operation (int): Indicates which Binary operation to use. (`BinaryOperation_Add`, `BinaryOperation_Div`,
-                           `BinaryOperation_Maximum`, `BinaryOperation_Minimum`, `BinaryOperation_Mul`, `BinaryOperation_Sub`,
-                           `BinaryOperation_SqDiff`, `BinaryOperation_Power`)
-                           Default: `BinaryOperation_Add`.
-
-    ") ElementwiseBinaryDescriptor;
-struct ElementwiseBinaryDescriptor
-{
-    ElementwiseBinaryDescriptor();
-    ElementwiseBinaryDescriptor(BinaryOperation operation);
-
-    BinaryOperation m_Operation;
-
-    bool operator ==(const ElementwiseBinaryDescriptor &rhs) const;
-};
-
-%feature("docstring",
-    "
     A descriptor for the ElementwiseUnary layer. See `INetwork.AddElementwiseUnaryLayer()`.
 
     Contains:
@@ -1329,24 +1211,6 @@ struct LogicalBinaryDescriptor
 
 %feature("docstring",
     "
-    A descriptor for the Tile layer. See `INetwork.AddTileLayer()`.
-
-    Contains:
-        m_Multiples (std::vector<uint32_t>): The vector to multiply the input shape by
-
-    ") TileDescriptor;
-struct TileDescriptor
-{
-    TileDescriptor();
-    TileDescriptor(const std::vector<uint32_t>& multiples);
-
-    std::vector<uint32_t> m_Multiples;
-
-    bool operator ==(const TileDescriptor &rhs) const;
-};
-
-%feature("docstring",
-    "
     A descriptor for the Transpose layer. See `INetwork.AddTransposeLayer()`.
 
     Contains: