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Changes for setting number of threads used in OpenMP for HOST functions #120

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merged 9 commits into from
Mar 31, 2023
Merged

Changes for setting number of threads used in OpenMP for HOST functions #120

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e356d50
added GetNumThreads() function to handle in RPP
sampath1117 Mar 31, 2023
a42fb8b
added numthreads changes for all tensor host augmentations and batchp…
sampath1117 Mar 31, 2023
2e0598c
added numThreads as a parameter to rppCreateWithBatchSize() function
sampath1117 Mar 31, 2023
e1c5cbd
added numthreads to batchpd kernels
sampath1117 Mar 20, 2023
d26f1f3
passed rpp handle as a parameter to all host kernels
sampath1117 Mar 20, 2023
c17d79d
Added numThreads parameter to handle creation in new test suite
sampath1117 Mar 31, 2023
db6d14f
code cleanup
sampath1117 Mar 31, 2023
fce0408
added rpp handle parameter info in the tensor header files
sampath1117 Mar 31, 2023
e6a0cbc
fixed alignment issues
sampath1117 Mar 31, 2023
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3 changes: 2 additions & 1 deletion Readme.md
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Expand Up @@ -221,7 +221,8 @@ $ sudo make install

// Create handle
rppHandle_t handle;
rppCreateWithBatchSize(&handle, noOfImages);
Rpp32u numThreads = 0;
rppCreateWithBatchSize(&handle, noOfImages, numThreads);

// Call the RPP API for the specific variant required (pkd3/pln3/pln1)
rppi_brightness_u8_pkd3_batchPD_host(input, srcSize, maxSize, output, alpha, beta, noOfImages, handle);
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3 changes: 2 additions & 1 deletion include/rpp.h
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Expand Up @@ -101,8 +101,9 @@ extern "C" SHARED_PUBLIC rppStatus_t rppCreate(rppHandle_t* handle);
// Function to create a rpp handle for a batch. To be called in the beginning to initialize the rpp environment
// *param[in] handle A pointer to rpp handle of type rppHandle_t
// *param[in] nBatchSize Batch size
// *param[in] numThreads number of threads to be used for OpenMP pragma
// *returns a rppStatus_t enumeration.
extern "C" SHARED_PUBLIC rppStatus_t rppCreateWithBatchSize(rppHandle_t* handle, size_t nBatchSize);
extern "C" SHARED_PUBLIC rppStatus_t rppCreateWithBatchSize(rppHandle_t* handle, size_t nBatchSize, Rpp32u numThreads);

/******************** rppDestroy ********************/

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8 changes: 8 additions & 0 deletions include/rppt_tensor_color_augmentations.h
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Expand Up @@ -40,6 +40,7 @@ extern "C" {
// *param[in] betaTensor beta values for brightness calculation (1D tensor of size batchSize with 0 <= beta <= 255 for each image in batch)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -59,6 +60,7 @@ RppStatus rppt_brightness_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t
// *param[in] gammaTensor gamma values for gamma correction calculation (1D tensor of size batchSize with gamma >= 0 for each image in batch)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -79,6 +81,7 @@ RppStatus rppt_gamma_correction_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, Rpp
// *param[in] alphaTensor alpha values for alpha-blending (1D tensor of size batchSize with the transparency factor transparency factor 0 <= alpha <= 1 for each image in batch)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -101,6 +104,7 @@ RppStatus rppt_blend_gpu(RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDesc
// *param[in] saturationTensor saturation modification parameter for color_jitter calculation (1D tensor of size batchSize with saturationTensor[i] >= 0 for each image in batch)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -123,6 +127,7 @@ RppStatus rppt_color_twist_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t
// *param[in] saturationTensor saturation modification parameter for color_jitter calculation (1D tensor of size batchSize with saturationTensor[i] >= 0 for each image in batch)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -141,6 +146,7 @@ RppStatus rppt_color_jitter_host(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr
// *param[in] alphaTensor alpha values for color casting calculation (1D tensor of size sizeof(Rpp32f) * batchSize with alphaTensor[i] >= 0 for each image in batch)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -161,6 +167,7 @@ RppStatus rppt_color_cast_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t
// *param[in] exposureFactorTensor tensor containing an Rpp32f exposure factor for each image in the batch (exposureFactorTensor[n] >= 0)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -182,6 +189,7 @@ RppStatus rppt_exposure_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t ds
// *param[in] contrastCenterTensor contrast center values for contrast calculation (1D tensor of size batchSize)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
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3 changes: 3 additions & 0 deletions include/rppt_tensor_data_exchange_operations.h
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Expand Up @@ -36,6 +36,7 @@ extern "C" {
// *param[in] srcDescPtr source tensor descriptor
// *param[out] dstPtr destination tensor memory
// *param[in] dstDescPtr destination tensor descriptor
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -53,6 +54,7 @@ RppStatus rppt_copy_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr
// *param[in] srcDescPtr source tensor descriptor
// *param[out] dstPtr destination tensor memory
// *param[in] dstDescPtr destination tensor descriptor
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -71,6 +73,7 @@ RppStatus rppt_swap_channels_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr
// *param[out] dstPtr destination tensor memory
// *param[in] dstDescPtr destination tensor descriptor
// *param[in] srcSubpixelLayout A RpptSubpixelLayout type enum to specify source subpixel layout (RGBtype or BGRtype)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
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6 changes: 6 additions & 0 deletions include/rppt_tensor_effects_augmentations.h
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Expand Up @@ -42,6 +42,7 @@ extern "C" {
// *param[in] translateVector translateVector for gridmask calculation = grid X and Y translation lengths in pixels (a single RpptUintVector2D x,y value pair that applies to all images in the batch)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -62,6 +63,7 @@ RppStatus rppt_gridmask_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t ds
// *param[in] spatterColor RGB values to use for the spatter augmentation (A single set of 3 Rpp8u values as RpptRGB that applies to all images in the batch)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -86,6 +88,7 @@ RppStatus rppt_spatter_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dst
// *param[in] seed A user-defined seed value (single Rpp32u value)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -107,6 +110,7 @@ RppStatus rppt_salt_and_pepper_noise_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr
// *param[in] seed A user-defined seed value (single Rpp32u value)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -129,6 +133,7 @@ RppStatus rppt_shot_noise_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t
// *param[in] seed A user-defined seed value (single Rpp32u value)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -149,6 +154,7 @@ RppStatus rppt_gaussian_noise_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPt
// *param[in] stdDevTensor standard deviation values to quantify non-linearity in the blend (1D tensor of size batchSize with stdDevTensor[n] > 0 for each image in batch)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
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1 change: 1 addition & 0 deletions include/rppt_tensor_filter_augmentations.h
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Expand Up @@ -39,6 +39,7 @@ extern "C" {
// *param[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)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
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8 changes: 8 additions & 0 deletions include/rppt_tensor_geometric_augmentations.h
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Expand Up @@ -38,6 +38,7 @@ extern "C" {
// *param[in] dstDescPtr destination tensor descriptor
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -61,6 +62,7 @@ RppStatus rppt_crop_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr
// *param[in] mirrorTensor mirror flag value to set mirroring on/off for each image in the batch (mirrorTensor[n] = 0/1)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -83,6 +85,7 @@ RppStatus rppt_crop_mirror_normalize_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr
// *param[in] interpolationType Interpolation type used (RpptInterpolationType::XYWH or RpptRoiType::LTRB)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -104,6 +107,7 @@ RppStatus rppt_warp_affine_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t
// *param[in] verticalTensor vertical flag value to set vertical flip on/off for each image in the batch (verticalTensor[n] = 0/1)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -125,6 +129,7 @@ RppStatus rppt_flip_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPtr
// *param[in] interpolationType resize interpolation type
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : successful completion
// *retval RPP_ERROR : Error
Expand All @@ -149,6 +154,7 @@ RppStatus rppt_resize_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstP
// *param[in] mirrorTensor mirror flag value to set mirroring on/off for each image in the batch (mirrorTensor[n] = 0/1)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : successful completion
// *retval RPP_ERROR : Error
Expand All @@ -171,6 +177,7 @@ RppStatus rppt_resize_mirror_normalize_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescP
// *param[in] mirrorTensor mirror flag value to set mirroring on/off for each image in the batch (mirrorTensor[n] = 0/1)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : successful completion
// *retval RPP_ERROR : Error
Expand All @@ -192,6 +199,7 @@ RppStatus rppt_resize_crop_mirror_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, R
// *param[in] interpolationType Interpolation type used (RpptInterpolationType::XYWH or RpptRoiType::LTRB)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand Down
2 changes: 2 additions & 0 deletions include/rppt_tensor_morphological_operations.h
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Expand Up @@ -39,6 +39,7 @@ extern "C" {
// *param[in] kernelSize kernel size for erode (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
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HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
Why is it "HOST-handle/HIP-handle for "_gpu" variants"?

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Does batchPD code work with any handle type?

// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
Expand All @@ -58,6 +59,7 @@ RppStatus rppt_erode_gpu(RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t dstPt
// *param[in] kernelSize kernel size for dilate (a single Rpp32u odd number with kernelSize = 3/5/7/9 that applies to all images in the batch)
// *param[in] roiTensorSrc ROI data 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))
// *param[in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
// *param[in] rppHandle HOST-handle/HIP-handle for "_gpu" variants and Host-handle for "_host" variants
// *returns a RppStatus enumeration.
// *retval RPP_SUCCESS : succesful completion
// *retval RPP_ERROR : Error
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