RPPT Tensor Operations - Morphological Operations.#
RPPT Tensor Operations - Morphological Operations.
RPPT Tensor Operations - Morphological Operations. More...
Functions | |
RppStatus | rppt_erode_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u kernelSize, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Erode augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_dilate_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, Rpp32u kernelSize, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Dilate augmentation on HIP backend for a NCHW/NHWC layout tensor. More... | |
Detailed Description
RPPT Tensor Operations - Morphological Operations.
Function Documentation
◆ rppt_dilate_gpu()
RppStatus rppt_dilate_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32u | kernelSize, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Dilate augmentation on HIP backend for a NCHW/NHWC layout tensor.
The dilate augmentation runs for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] kernelSize kernel size for box filter (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch) [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_erode_gpu()
RppStatus rppt_erode_gpu | ( | RppPtr_t | srcPtr, |
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
Rpp32u | kernelSize, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Erode augmentation on HIP backend for a NCHW/NHWC layout tensor.
The erode augmentation runs for a batch of RGB(3 channel) / greyscale(1 channel) images with an NHWC/NCHW tensor layout.
- srcPtr depth ranges - Rpp8u (0 to 255), Rpp16f (0 to 1), Rpp32f (0 to 1), Rpp8s (-128 to 127).
- dstPtr depth ranges - Will be same depth as srcPtr.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcDescPtr source tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3) [out] dstPtr destination tensor in HIP memory [in] dstDescPtr destination tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = same as that of srcDescPtr) [in] kernelSize kernel size for box filter (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch) [in] roiTensorSrc ROI data in HIP memory, for each image in source tensor (2D tensor of size batchSize * 4, in either format - XYWH(xy.x, xy.y, roiWidth, roiHeight) or LTRB(lt.x, lt.y, rb.x, rb.y)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.