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.

Sample Input

Sample Output

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.

Sample Input

Sample Output

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.

Sample Input

Sample Output

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.

Sample Input

Sample Output

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.

Sample Input1

Sample Input2

Sample Output

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.

Sample Input1

Sample Input2

Sample Output

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.

Sample Input

Sample Output

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.

Sample Input

Sample Output

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.

Sample Input

Sample Output

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.

Sample Input

Sample Output

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.

RPPT Tensor Operations - Arithmetic Operations.

RPPT Tensor Operations - Arithmetic Operations.#

Functions

Detailed Description

Function Documentation

◆ rppt_add_scalar_gpu()

◆ rppt_add_scalar_host()

◆ rppt_fused_multiply_add_scalar_gpu()

◆ rppt_fused_multiply_add_scalar_host()

◆ rppt_log_gpu()

◆ rppt_log_host()

◆ rppt_magnitude_gpu()

◆ rppt_magnitude_host()

◆ rppt_multiply_scalar_gpu()

◆ rppt_multiply_scalar_host()

◆ rppt_subtract_scalar_gpu()

◆ rppt_subtract_scalar_host()