RPPT Tensor Operations - Statistical Operations.

RPPT Tensor Operations - Statistical Operations.#

RPP: RPPT Tensor Operations - Statistical Operations.
RPPT Tensor Operations - Statistical Operations.

RPPT Tensor Operations - Statistical Operations. More...

Functions

RppStatus rppt_tensor_sum_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t tensorSumArr, Rpp32u tensorSumArrLength, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle)
 Tensor sum operation on HOST backend for a NCHW/NHWC layout tensor. More...
 
RppStatus rppt_tensor_sum_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t tensorSumArr, Rpp32u tensorSumArrLength, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle)
 Tensor sum operation on HIP backend for a NCHW/NHWC layout tensor. More...
 
RppStatus rppt_tensor_min_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t minArr, Rpp32u minArrLength, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle)
 Tensor min operation on HOST backend for a NCHW/NHWC layout tensor. More...
 
RppStatus rppt_tensor_min_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t imageMinArr, Rpp32u imageMinArrLength, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle)
 Tensor min operation on HIP backend for a NCHW/NHWC layout tensor. More...
 
RppStatus rppt_tensor_max_host (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t maxArr, Rpp32u maxArrLength, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle)
 Tensor max operation on HOST backend for a NCHW/NHWC layout tensor. More...
 
RppStatus rppt_tensor_max_gpu (RppPtr_t srcPtr, RpptDescPtr srcDescPtr, RppPtr_t imageMaxArr, Rpp32u imageMaxArrLength, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle)
 Tensor max operation on HIP backend for a NCHW/NHWC layout tensor. More...
 

Detailed Description

RPPT Tensor Operations - Statistical Operations.

Function Documentation

◆ rppt_tensor_max_gpu()

RppStatus rppt_tensor_max_gpu ( RppPtr_t  srcPtr,
RpptDescPtr  srcDescPtr,
RppPtr_t  imageMaxArr,
Rpp32u  imageMaxArrLength,
RpptROIPtr  roiTensorPtrSrc,
RpptRoiType  roiType,
rppHandle_t  rppHandle 
)

Tensor max operation on HIP backend for a NCHW/NHWC layout tensor.

The tensor max is a reduction operation that finds the channel-wise (R max / G max / B max) and overall max for each image in 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]srcPtrsource tensor in HIP memory
    [in]srcDescPtrsource tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
    [out]maxArrdestination array in HIP memory
    [in]maxArrLengthlength of provided destination array (Restrictions - if srcDescPtr->c == 1 then tensorSumArrLength >= srcDescPtr->n, and if srcDescPtr->c == 3 then tensorSumArrLength >= srcDescPtr->n * 4)
    [in]roiTensorSrcROI 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)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 3840 and roiTensorSrc[i].xywhROI.roiHeight <= 2160)
    [in]roiTypeROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
    [in]rppHandleRPP HIP handle created with rppCreateWithBatchSize()
    Returns
    A RppStatus enumeration.
    Return values
    RPP_SUCCESSSuccessful completion.
    RPP_ERROR*Unsuccessful completion.

◆ rppt_tensor_max_host()

RppStatus rppt_tensor_max_host ( RppPtr_t  srcPtr,
RpptDescPtr  srcDescPtr,
RppPtr_t  maxArr,
Rpp32u  maxArrLength,
RpptROIPtr  roiTensorPtrSrc,
RpptRoiType  roiType,
rppHandle_t  rppHandle 
)

Tensor max operation on HOST backend for a NCHW/NHWC layout tensor.

The tensor max is a reduction operation that finds the channel-wise (R max / G max / B max) and overall max for each image in 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]srcPtrsource tensor in HOST memory
    [in]srcDescPtrsource tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
    [out]maxArrdestination array in HOST memory
    [in]maxArrLengthlength of provided destination array (Restrictions - if srcDescPtr->c == 1 then tensorSumArrLength >= srcDescPtr->n, and if srcDescPtr->c == 3 then tensorSumArrLength >= srcDescPtr->n * 4)
    [in]roiTensorSrcROI data in HOST 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)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 3840 and roiTensorSrc[i].xywhROI.roiHeight <= 2160)
    [in]roiTypeROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
    [in]rppHandleRPP HOST handle created with rppCreateWithBatchSize()
    Returns
    A RppStatus enumeration.
    Return values
    RPP_SUCCESSSuccessful completion.
    RPP_ERROR*Unsuccessful completion.

◆ rppt_tensor_min_gpu()

RppStatus rppt_tensor_min_gpu ( RppPtr_t  srcPtr,
RpptDescPtr  srcDescPtr,
RppPtr_t  imageMinArr,
Rpp32u  imageMinArrLength,
RpptROIPtr  roiTensorPtrSrc,
RpptRoiType  roiType,
rppHandle_t  rppHandle 
)

Tensor min operation on HIP backend for a NCHW/NHWC layout tensor.

The tensor min is a reduction operation that finds the channel-wise (R min / G min / B min) and overall min for each image in 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]srcPtrsource tensor in HIP memory
    [in]srcDescPtrsource tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
    [out]minArrdestination array in HIP memory
    [in]minArrLengthlength of provided destination array (Restrictions - if srcDescPtr->c == 1 then tensorSumArrLength >= srcDescPtr->n, and if srcDescPtr->c == 3 then tensorSumArrLength >= srcDescPtr->n * 4)
    [in]roiTensorSrcROI 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)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 3840 and roiTensorSrc[i].xywhROI.roiHeight <= 2160)
    [in]roiTypeROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
    [in]rppHandleRPP HIP handle created with rppCreateWithStreamAndBatchSize()
    Returns
    A RppStatus enumeration.
    Return values
    RPP_SUCCESSSuccessful completion.
    RPP_ERROR*Unsuccessful completion.

◆ rppt_tensor_min_host()

RppStatus rppt_tensor_min_host ( RppPtr_t  srcPtr,
RpptDescPtr  srcDescPtr,
RppPtr_t  minArr,
Rpp32u  minArrLength,
RpptROIPtr  roiTensorPtrSrc,
RpptRoiType  roiType,
rppHandle_t  rppHandle 
)

Tensor min operation on HOST backend for a NCHW/NHWC layout tensor.

The tensor min is a reduction operation that finds the channel-wise (R min / G min / B min) and overall min for each image in 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]srcPtrsource tensor in HOST memory
    [in]srcDescPtrsource tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
    [out]minArrdestination array in HOST memory
    [in]minArrLengthlength of provided destination array (Restrictions - if srcDescPtr->c == 1 then tensorSumArrLength >= srcDescPtr->n, and if srcDescPtr->c == 3 then tensorSumArrLength >= srcDescPtr->n * 4)
    [in]roiTensorSrcROI data in HOST 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)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 3840 and roiTensorSrc[i].xywhROI.roiHeight <= 2160)
    [in]roiTypeROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
    [in]rppHandleRPP HOST handle created with rppCreateWithBatchSize()
    Returns
    A RppStatus enumeration.
    Return values
    RPP_SUCCESSSuccessful completion.
    RPP_ERROR*Unsuccessful completion.

◆ rppt_tensor_sum_gpu()

RppStatus rppt_tensor_sum_gpu ( RppPtr_t  srcPtr,
RpptDescPtr  srcDescPtr,
RppPtr_t  tensorSumArr,
Rpp32u  tensorSumArrLength,
RpptROIPtr  roiTensorPtrSrc,
RpptRoiType  roiType,
rppHandle_t  rppHandle 
)

Tensor sum operation on HIP backend for a NCHW/NHWC layout tensor.

The tensor sum is a reduction operation that finds the channel-wise (R sum / G sum / B sum) and total sum for each image in 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]srcPtrsource tensor in HIP memory
    [in]srcDescPtrsource tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
    [out]tensorSumArrdestination array in HIP memory
    [in]tensorSumArrLengthlength of provided destination array (Restrictions - if srcDescPtr->c == 1 then tensorSumArrLength >= srcDescPtr->n, and if srcDescPtr->c == 3 then tensorSumArrLength >= srcDescPtr->n * 4)
    [in]roiTensorSrcROI 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)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 3840 and roiTensorSrc[i].xywhROI.roiHeight <= 2160)
    [in]roiTypeROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
    [in]rppHandleRPP HIP handle created with rppCreateWithStreamAndBatchSize()
    Returns
    A RppStatus enumeration.
    Return values
    RPP_SUCCESSSuccessful completion.
    RPP_ERROR*Unsuccessful completion.

◆ rppt_tensor_sum_host()

RppStatus rppt_tensor_sum_host ( RppPtr_t  srcPtr,
RpptDescPtr  srcDescPtr,
RppPtr_t  tensorSumArr,
Rpp32u  tensorSumArrLength,
RpptROIPtr  roiTensorPtrSrc,
RpptRoiType  roiType,
rppHandle_t  rppHandle 
)

Tensor sum operation on HOST backend for a NCHW/NHWC layout tensor.

The tensor sum is a reduction operation that finds the channel-wise (R sum / G sum / B sum) and total sum for each image in 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]srcPtrsource tensor in HOST memory
    [in]srcDescPtrsource tensor descriptor (Restrictions - numDims = 4, offsetInBytes >= 0, dataType = U8/F16/F32/I8, layout = NCHW/NHWC, c = 1/3)
    [out]tensorSumArrdestination array in HOST memory
    [in]tensorSumArrLengthlength of provided destination array (Restrictions - if srcDescPtr->c == 1 then tensorSumArrLength >= srcDescPtr->n, and if srcDescPtr->c == 3 then tensorSumArrLength >= srcDescPtr->n * 4)
    [in]roiTensorSrcROI data in HOST 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)) | (Restrictions - roiTensorSrc[i].xywhROI.roiWidth <= 3840 and roiTensorSrc[i].xywhROI.roiHeight <= 2160)
    [in]roiTypeROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB)
    [in]rppHandleRPP HOST handle created with rppCreateWithBatchSize()
    Returns
    A RppStatus enumeration.
    Return values
    RPP_SUCCESSSuccessful completion.
    RPP_ERROR*Unsuccessful completion.