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VX_RPP Fix build issues (#1144)
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* Fix build issues with copy and nop vx_rpp declaration

* Introduce missed out tensor API in vx_rpp

Add description for the same
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@fiona-gladwin
fiona-gladwin committed Jul 19, 2023
1 parent 05ce471 commit 03ef43c
Showing 1 changed file with 79 additions and 2 deletions.
81 changes: 79 additions & 2 deletions amd_openvx_extensions/amd_rpp/include/vx_ext_rpp.h
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Original file line number Diff line number Diff line change
Expand Up @@ -321,7 +321,7 @@ SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_ContrastbatchPD(vx_graph graph,vx
* \returns A node reference <tt>\ref vx_node</tt>. Any possible errors preventing a
* successful creation should be checked using <tt>\ref vxGetStatus</tt>.
*/
SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_Copy(vx_graph graph, vx_image pSrc, vx_image pDst);
SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_CopybatchPD(vx_graph graph, vx_image pSrc, vx_image pDst);

/*!
* \brief [Graph] Creates a RPP Crop Mirror Normalize function node.
Expand Down Expand Up @@ -737,7 +737,7 @@ SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_NonMaxSupressionbatchPD(vx_graph
* \returns A node reference <tt>\ref vx_node</tt>. Any possible errors preventing a
* successful creation should be checked using <tt>\ref vxGetStatus</tt>.
*/
SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_Nop(vx_graph graph, vx_image pSrc, vx_image pDst);
SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_NopbatchPD(vx_graph graph, vx_image pSrc, vx_image pDst);

/*!
* \brief [Graph] Creates a RPP Phase function node.
Expand Down Expand Up @@ -943,6 +943,83 @@ SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_SequenceRearrange(vx_graph graph,
* @note - TBD
*/
SHARED_PUBLIC vx_node VX_API_CALL vxExtrppNode_Resizetensor(vx_graph graph, vx_image pSrc, vx_array srcImgWidth, vx_array srcImgHeight, vx_image pDst, vx_array dstImgWidth, vx_array dstImgHeight, vx_int32 interpolation_type, vx_uint32 nbatchSize);

// Tensor Augmentations
/*! \brief [Graph] Creates a RPP Brightness function node.
* \ingroup group_amd_rpp
* \param [in] graph The handle to the graph.
* \param [in] pSrc The input tensor data.
* \param [in] pSrcRoi The input tensor of batch size in <tt>unsigned int<tt> containing the roi values for the input in xywh/ltrb format.
* \param [out] pDst The output tensor data.
* \param [in] pAlpha The input array in <tt>\ref VX_TYPE_FLOAT32<tt> format containing the alpha data.
* \param [in] pBeta The input array in <tt>\ref VX_TYPE_FLOAT32<tt> format containing the beta data.
* \param [in] inputLayout The input layout in <tt>\ref VX_TYPE_INT32<tt> denotes the layout of input tensor.
* \param [in] outputLayout The output layout in <tt>\ref VX_TYPE_INT32<tt> denotes the layout of output tensor.
* \param [in] roiType The type of roi <tt>\ref VX_TYPE_INT32<tt> denotes whether source roi is of XYWH/LTRB type.
* \return <tt> vx_node</tt>.
* \returns A node reference <tt>\ref vx_node</tt>. Any possible errors preventing a
* successful creation should be checked using <tt>\ref vxGetStatus</tt>.
*/
SHARED_PUBLIC vx_node VX_API_CALL vxRppBrightness(vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pAlpha, vx_array pBeta, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType);

/*! \brief [Graph] Creates a RPP Copy function node.
* \ingroup group_amd_rpp
* \param [in] graph The handle to the graph.
* \param [in] pSrc The input tensor data.
* \param [out] pDst The output tensor data.
* \return <tt> vx_node</tt>.
* \returns A node reference <tt>\ref vx_node</tt>. Any possible errors preventing a
* successful creation should be checked using <tt>\ref vxGetStatus</tt>.
*/
SHARED_PUBLIC vx_node VX_API_CALL vxRppCopy(vx_graph graph, vx_tensor pSrc, vx_tensor pDst);

/*! \brief [Graph] Creates a RPP CropMirrorNormalize function node.
* \ingroup group_amd_rpp
* \param [in] graph The handle to the graph.
* \param [in] pSrc The input tensor data.
* \param [in] pSrcRoi The input tensor of batch size in <tt>unsigned int<tt> containing the roi values for the input in xywh/ltrb format.
* \param [out] pDst The output tensor data.
* \param [in] pMultiplier The input array in <tt>\ref VX_TYPE_FLOAT32<tt> format containing the multiplier data.
* \param [in] pOffset The input array in <tt>\ref VX_TYPE_FLOAT32<tt> format containing the offset data.
* \param [in] pOffset The input array in <tt>\ref VX_TYPE_INT32<tt> format containing the flip data.
* \param [in] inputLayout The input layout in <tt>\ref VX_TYPE_INT32<tt> denotes the layout of input tensor.
* \param [in] outputLayout The output layout in <tt>\ref VX_TYPE_INT32<tt> denotes the layout of output tensor.
* \param [in] roiType The type of roi <tt>\ref VX_TYPE_INT32<tt> denotes whether source roi is of XYWH/LTRB type.
* \return <tt> vx_node</tt>.
* \returns A node reference <tt>\ref vx_node</tt>. Any possible errors preventing a
* successful creation should be checked using <tt>\ref vxGetStatus</tt>.
*/
SHARED_PUBLIC vx_node VX_API_CALL vxRppCropMirrorNormalize(vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pMultiplier, vx_array pOffset, vx_array pFlip, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType);

/*! \brief [Graph] Creates a RPP Nop function node.
* \ingroup group_amd_rpp
* \param [in] graph The handle to the graph.
* \param [in] pSrc The input tensor data.
* \param [out] pDst The output tensor data.
* \return <tt> vx_node</tt>.
* \returns A node reference <tt>\ref vx_node</tt>. Any possible errors preventing a
* successful creation should be checked using <tt>\ref vxGetStatus</tt>.
*/
SHARED_PUBLIC vx_node VX_API_CALL vxRppNop(vx_graph graph, vx_tensor pSrc, vx_tensor pDst);

/*! \brief [Graph] Creates a RPP CropMirrorNormalize function node.
* \ingroup group_amd_rpp
* \param [in] graph The handle to the graph.
* \param [in] pSrc The input tensor data.
* \param [in] pSrcRoi The input tensor of batch size in <tt>unsigned int<tt> containing the roi values for the input in xywh/ltrb format.
* \param [out] pDst The output tensor data.
* \param [in] pDstWidth The input array in <tt>\ref VX_TYPE_UINT32<tt> format containing the output width data.
* \param [in] pDstHeight The input array in <tt>\ref VX_TYPE_UINT32<tt> format containing the output height data.
* \param [in] interpolationType The resize interpolation type in <tt>\ref VX_TYPE_INT32<tt> format containing the type of interpolation.
* \param [in] inputLayout The input layout in <tt>\ref VX_TYPE_INT32<tt> denotes the layout of input tensor.
* \param [in] outputLayout The output layout in <tt>\ref VX_TYPE_INT32<tt> denotes the layout of output tensor.
* \param [in] roiType The type of roi <tt>\ref VX_TYPE_INT32<tt> denotes whether source roi is of XYWH/LTRB type.
* \return <tt> vx_node</tt>.
* \returns A node reference <tt>\ref vx_node</tt>. Any possible errors preventing a
* successful creation should be checked using <tt>\ref vxGetStatus</tt>.
*/
SHARED_PUBLIC vx_node VX_API_CALL vxRppResize(vx_graph graph, vx_tensor pSrc, vx_tensor pSrcRoi, vx_tensor pDst, vx_array pDstWidth, vx_array pDstHeight, vx_scalar interpolationType, vx_scalar inputLayout, vx_scalar outputLayout, vx_scalar roiType);

#ifdef __cplusplus
}
#endif
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