RPPT Tensor Operations - Arithmetic Operations.#
RPPT Tensor Operations - Arithmetic Operations. More...
Functions | |
RppStatus | rppt_fused_multiply_add_scalar_host (RppPtr_t srcPtr, RpptGenericDescPtr srcGenericDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstGenericDescPtr, Rpp32f *mulTensor, Rpp32f *addTensor, RpptROI3DPtr roiGenericPtrSrc, RpptRoi3DType roiType, rppHandle_t rppHandle) |
Fused multiply add scalar augmentation on HOST backend. More... | |
RppStatus | rppt_fused_multiply_add_scalar_gpu (RppPtr_t srcPtr, RpptGenericDescPtr srcGenericDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstGenericDescPtr, Rpp32f *mulTensor, Rpp32f *addTensor, RpptROI3DPtr roiGenericPtrSrc, RpptRoi3DType roiType, rppHandle_t rppHandle) |
Fused multiply add scalar augmentation on HIP backend. More... | |
RppStatus | rppt_add_scalar_host (RppPtr_t srcPtr, RpptGenericDescPtr srcGenericDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstGenericDescPtr, Rpp32f *addTensor, RpptROI3DPtr roiGenericPtrSrc, RpptRoi3DType roiType, rppHandle_t rppHandle) |
Add scalar augmentation on HOST backend. More... | |
RppStatus | rppt_add_scalar_gpu (RppPtr_t srcPtr, RpptGenericDescPtr srcGenericDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstGenericDescPtr, Rpp32f *addTensor, RpptROI3DPtr roiGenericPtrSrc, RpptRoi3DType roiType, rppHandle_t rppHandle) |
Add scalar augmentation on HIP backend. More... | |
RppStatus | rppt_subtract_scalar_host (RppPtr_t srcPtr, RpptGenericDescPtr srcGenericDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstGenericDescPtr, Rpp32f *subtractTensor, RpptROI3DPtr roiGenericPtrSrc, RpptRoi3DType roiType, rppHandle_t rppHandle) |
Subtract scalar augmentation on HOST backend. More... | |
RppStatus | rppt_subtract_scalar_gpu (RppPtr_t srcPtr, RpptGenericDescPtr srcGenericDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstGenericDescPtr, Rpp32f *subtractTensor, RpptROI3DPtr roiGenericPtrSrc, RpptRoi3DType roiType, rppHandle_t rppHandle) |
Subtract scalar augmentation on HIP backend. More... | |
RppStatus | rppt_multiply_scalar_host (RppPtr_t srcPtr, RpptGenericDescPtr srcGenericDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstGenericDescPtr, Rpp32f *mulTensor, RpptROI3DPtr roiGenericPtrSrc, RpptRoi3DType roiType, rppHandle_t rppHandle) |
Multiply scalar augmentation on HOST backend. More... | |
RppStatus | rppt_multiply_scalar_gpu (RppPtr_t srcPtr, RpptGenericDescPtr srcGenericDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstGenericDescPtr, Rpp32f *mulTensor, RpptROI3DPtr roiGenericPtrSrc, RpptRoi3DType roiType, rppHandle_t rppHandle) |
Multiply scalar augmentation on HIP backend. More... | |
RppStatus | rppt_magnitude_host (RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Magnitude computation on HOST backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_magnitude_gpu (RppPtr_t srcPtr1, RppPtr_t srcPtr2, RpptDescPtr srcDescPtr, RppPtr_t dstPtr, RpptDescPtr dstDescPtr, RpptROIPtr roiTensorPtrSrc, RpptRoiType roiType, rppHandle_t rppHandle) |
Magnitude computation on HIP backend for a NCHW/NHWC layout tensor. More... | |
RppStatus | rppt_log_host (RppPtr_t srcPtr, RpptGenericDescPtr srcGenericDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstGenericDescPtr, Rpp32u *roiTensor, rppHandle_t rppHandle) |
Logarithm operation on HOST backend. More... | |
RppStatus | rppt_log_gpu (RppPtr_t srcPtr, RpptGenericDescPtr srcGenericDescPtr, RppPtr_t dstPtr, RpptGenericDescPtr dstGenericDescPtr, Rpp32u *roiTensor, rppHandle_t rppHandle) |
Logarithm operation on HIP backend. More... | |
Detailed Description
RPPT Tensor Operations - Arithmetic Operations.
Function Documentation
◆ rppt_add_scalar_gpu()
RppStatus rppt_add_scalar_gpu | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcGenericDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstGenericDescPtr, | ||
Rpp32f * | addTensor, | ||
RpptROI3DPtr | roiGenericPtrSrc, | ||
RpptRoi3DType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Add scalar augmentation on HIP backend.
This function performs the addition operation on a batch of 4D tensors. It adds a corresponding element from the 'addTensor' to source tensor, and stores the result in the destination tensor. Support added for f32 -> f32 dataype.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HIP memory [in] dstGenericDescPtr destination tensor descriptor [in] addTensor add values for used for addition (1D tensor of batchSize Rpp32f values) [in] roiGenericPtrSrc ROI data for each image in source tensor (tensor of batchSize RpptRoiGeneric values) [in] roiType ROI type used (RpptRoi3DType::XYZWHD or RpptRoi3DType::LTFRBB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_add_scalar_host()
RppStatus rppt_add_scalar_host | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcGenericDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstGenericDescPtr, | ||
Rpp32f * | addTensor, | ||
RpptROI3DPtr | roiGenericPtrSrc, | ||
RpptRoi3DType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Add scalar augmentation on HOST backend.
This function performs the addition operation on a batch of 4D tensors. It adds a corresponding element from the 'addTensor' to source tensor, and stores the result in the destination tensor. Support added for f32 -> f32 dataype.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HOST memory [in] dstGenericDescPtr destination tensor descriptor [in] addTensor add values for used for addition (1D tensor of batchSize Rpp32f values) [in] roiGenericPtrSrc ROI data for each image in source tensor (tensor of batchSize RpptRoiGeneric values) [in] roiType ROI type used (RpptRoi3DType::XYZWHD or RpptRoi3DType::LTFRBB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_fused_multiply_add_scalar_gpu()
RppStatus rppt_fused_multiply_add_scalar_gpu | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcGenericDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstGenericDescPtr, | ||
Rpp32f * | mulTensor, | ||
Rpp32f * | addTensor, | ||
RpptROI3DPtr | roiGenericPtrSrc, | ||
RpptRoi3DType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Fused multiply add scalar augmentation on HIP backend.
This function performs the fmadd operation on a batch of 4D tensors. It multiplies each element of the source tensor by a corresponding element in the 'mulTensor', adds a corresponding element from the 'addTensor', and stores the result in the destination tensor. Support added for f32 -> f32 dataype.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HIP memory [in] dstGenericDescPtr destination tensor descriptor [in] mulTensor mul values for fmadd calculation (1D tensor of batchSize Rpp32f values) [in] addTensor add values for fmadd calculation (1D tensor of batchSize Rpp32f values) [in] roiGenericPtrSrc ROI data for each image in source tensor (tensor of batchSize RpptRoiGeneric values) [in] roiType ROI type used (RpptRoi3DType::XYZWHD or RpptRoi3DType::LTFRBB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_fused_multiply_add_scalar_host()
RppStatus rppt_fused_multiply_add_scalar_host | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcGenericDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstGenericDescPtr, | ||
Rpp32f * | mulTensor, | ||
Rpp32f * | addTensor, | ||
RpptROI3DPtr | roiGenericPtrSrc, | ||
RpptRoi3DType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Fused multiply add scalar augmentation on HOST backend.
This function performs the fmadd operation on a batch of 4D tensors. It multiplies each element of the source tensor by a corresponding element in the 'mulTensor', adds a corresponding element from the 'addTensor', and stores the result in the destination tensor. Support added for f32 -> f32 dataype.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HOST memory [in] dstGenericDescPtr destination tensor descriptor [in] mulTensor mul values for fmadd calculation (1D tensor of batchSize Rpp32f values) [in] addTensor add values for fmadd calculation (1D tensor of batchSize Rpp32f values) [in] roiGenericPtrSrc ROI data for each image in source tensor (tensor of batchSize RpptRoiGeneric values) [in] roiType ROI type used (RpptRoi3DType::XYZWHD or RpptRoi3DType::LTFRBB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_log_gpu()
RppStatus rppt_log_gpu | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcGenericDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstGenericDescPtr, | ||
Rpp32u * | roiTensor, | ||
rppHandle_t | rppHandle | ||
) |
Logarithm operation on HIP backend.
Computes Log to base e(natural log) of the input for a given ND Tensor. Supports u8->f32, i8->f32, f16->f16 and f32->f32 datatypes. Uses Absolute of input for log computation and uses nextafter() if input is 0 to avoid undefined result.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HIP memory [in] dstGenericDescPtr destination tensor descriptor [in] roiTensor values to represent dimensions of input tensor [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_log_host()
RppStatus rppt_log_host | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcGenericDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstGenericDescPtr, | ||
Rpp32u * | roiTensor, | ||
rppHandle_t | rppHandle | ||
) |
Logarithm operation on HOST backend.
Computes Log to base e(natural log) of the input for a given ND Tensor. Supports u8->f32, i8->f32, f16->f16 and f32->f32 datatypes. Uses Absolute of input for log computation and uses nextafter() if input is 0 to avoid undefined result.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HOST memory [in] dstGenericDescPtr destination tensor descriptor [in] roiTensor values to represent dimensions of input tensor [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_magnitude_gpu()
RppStatus rppt_magnitude_gpu | ( | RppPtr_t | srcPtr1, |
RppPtr_t | srcPtr2, | ||
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Magnitude computation on HIP backend for a NCHW/NHWC layout tensor.
This function computes magnitude of corresponding pixels 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] srcPtr1 source1 tensor in HIP memory [in] srcPtr2 source2 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] roiTensorPtrSrc 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_magnitude_host()
RppStatus rppt_magnitude_host | ( | RppPtr_t | srcPtr1, |
RppPtr_t | srcPtr2, | ||
RpptDescPtr | srcDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptDescPtr | dstDescPtr, | ||
RpptROIPtr | roiTensorPtrSrc, | ||
RpptRoiType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Magnitude computation on HOST backend for a NCHW/NHWC layout tensor.
This function computes magnitude of corresponding pixels 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] srcPtr1 source1 tensor in HOST memory [in] srcPtr2 source2 tensor in HOST 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 HOST 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] roiTensorPtrSrc ROI 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)) [in] roiType ROI type used (RpptRoiType::XYWH or RpptRoiType::LTRB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_multiply_scalar_gpu()
RppStatus rppt_multiply_scalar_gpu | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcGenericDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstGenericDescPtr, | ||
Rpp32f * | mulTensor, | ||
RpptROI3DPtr | roiGenericPtrSrc, | ||
RpptRoi3DType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Multiply scalar augmentation on HIP backend.
This function performs the multiplication operation on a batch of 4D tensors. It takes a corresponding element from 'multiplyTensor' and multiplies it with source tensor. Result is stored in the destination tensor. Support added for f32 -> f32 dataype.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HIP memory [in] dstGenericDescPtr destination tensor descriptor [in] mulTensor multiplier values for used for multiplication (1D tensor of batchSize Rpp32f values) [in] roiGenericPtrSrc ROI data for each image in source tensor (tensor of batchSize RpptRoiGeneric values) [in] roiType ROI type used (RpptRoi3DType::XYZWHD or RpptRoi3DType::LTFRBB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_multiply_scalar_host()
RppStatus rppt_multiply_scalar_host | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcGenericDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstGenericDescPtr, | ||
Rpp32f * | mulTensor, | ||
RpptROI3DPtr | roiGenericPtrSrc, | ||
RpptRoi3DType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Multiply scalar augmentation on HOST backend.
This function performs the multiplication operation on a batch of 4D tensors. It takes a corresponding element from 'multiplyTensor' and multiplies it with source tensor. Result is stored in the destination tensor. Support added for f32 -> f32 dataype.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HOST memory [in] dstGenericDescPtr destination tensor descriptor [in] mulTensor multiplier values for used for multiplication (1D tensor of batchSize Rpp32f values) [in] roiGenericPtrSrc ROI data for each image in source tensor (tensor of batchSize RpptRoiGeneric values) [in] roiType ROI type used (RpptRoi3DType::XYZWHD or RpptRoi3DType::LTFRBB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_subtract_scalar_gpu()
RppStatus rppt_subtract_scalar_gpu | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcGenericDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstGenericDescPtr, | ||
Rpp32f * | subtractTensor, | ||
RpptROI3DPtr | roiGenericPtrSrc, | ||
RpptRoi3DType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Subtract scalar augmentation on HIP backend.
This function performs the subtraction operation on a batch of 4D tensors. It takes a corresponding element from 'subtractTensor' and subtracts it from source tensor. Result is stored in the destination tensor. Support added for f32 -> f32 dataype.
- Parameters
-
[in] srcPtr source tensor in HIP memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HIP memory [in] dstGenericDescPtr destination tensor descriptor [in] subtractTensor subtract values for used for subtraction (1D tensor of batchSize Rpp32f values) [in] roiGenericPtrSrc ROI data for each image in source tensor (tensor of batchSize RpptRoiGeneric values) [in] roiType ROI type used (RpptRoi3DType::XYZWHD or RpptRoi3DType::LTFRBB) [in] rppHandle RPP HIP handle created with rppCreateWithStreamAndBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.
◆ rppt_subtract_scalar_host()
RppStatus rppt_subtract_scalar_host | ( | RppPtr_t | srcPtr, |
RpptGenericDescPtr | srcGenericDescPtr, | ||
RppPtr_t | dstPtr, | ||
RpptGenericDescPtr | dstGenericDescPtr, | ||
Rpp32f * | subtractTensor, | ||
RpptROI3DPtr | roiGenericPtrSrc, | ||
RpptRoi3DType | roiType, | ||
rppHandle_t | rppHandle | ||
) |
Subtract scalar augmentation on HOST backend.
This function performs the subtraction operation on a batch of 4D tensors. It takes a corresponding element from 'subtractTensor' and subtracts it from source tensor. Result is stored in the destination tensor. Support added for f32 -> f32 dataype.
- Parameters
-
[in] srcPtr source tensor in HOST memory [in] srcGenericDescPtr source tensor descriptor [out] dstPtr destination tensor in HOST memory [in] dstGenericDescPtr destination tensor descriptor [in] subtractTensor subtract values for used for subtraction (1D tensor of batchSize Rpp32f values) [in] roiGenericPtrSrc ROI data for each image in source tensor (tensor of batchSize RpptRoiGeneric values) [in] roiType ROI type used (RpptRoi3DType::XYZWHD or RpptRoi3DType::LTFRBB) [in] rppHandle RPP HOST handle created with rppCreateWithBatchSize()
- Returns
- A
RppStatus
enumeration.
- Return values
-
RPP_SUCCESS Successful completion. RPP_ERROR* Unsuccessful completion.