diff options
| author | Cedric Nugteren <web@cedricnugteren.nl> | 2016-06-13 20:17:26 +0200 |
|---|---|---|
| committer | Cedric Nugteren <web@cedricnugteren.nl> | 2016-06-13 20:17:26 +0200 |
| commit | 995a528cecde16ff45318b8fc8c038197173bfaf (patch) | |
| tree | dabbb663655c35e599899b2caf08b8461544cfb5 | |
| parent | 4fb8f9517c4fbbe847df60d8654f21eae811bbd3 (diff) | |
Improved API documentation and added documentation for level-2 and level-3 routines
| -rw-r--r-- | CHANGELOG | 1 | ||||
| -rw-r--r-- | doc/clblast.md | 635 | ||||
| -rw-r--r-- | scripts/generator/generator.py | 101 | ||||
| -rw-r--r-- | scripts/generator/routine.py | 14 |
4 files changed, 436 insertions, 315 deletions
@@ -4,6 +4,7 @@ Development version (next release) - Made it possible to compile the performance tests (clients) separately from the correctness tests - Made a reference BLAS and head-to-head performance comparison optional in the clients - Increased the verbosity of the "-verbose" option in the correctness tests +- Improved the API documentation - Various minor fixes and enhancements - Added tuned parameters for various devices (see README) - Added half-precision routines: diff --git a/doc/clblast.md b/doc/clblast.md index e48120d1..5f337dd3 100644 --- a/doc/clblast.md +++ b/doc/clblast.md @@ -5,7 +5,7 @@ CLBlast: API reference xSWAP: Swap two vectors ------------- -Interchanges the contents of vectors x and y. +Interchanges _n_ elements of vectors _x_ and _y_. C++ API: ``` @@ -42,13 +42,13 @@ StatusCode CLBlastHswap(const size_t n, Arguments to SWAP: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `cl_mem x_buffer`: OpenCL buffer to store the output x vector. * `const size_t x_offset`: The offset in elements from the start of the output x vector. -* `const size_t x_inc`: Stride/increment of the output x vector. +* `const size_t x_inc`: Stride/increment of the output x vector. This value must be greater than 0. * `cl_mem y_buffer`: OpenCL buffer to store the output y vector. * `const size_t y_offset`: The offset in elements from the start of the output y vector. -* `const size_t y_inc`: Stride/increment of the output y vector. +* `const size_t y_inc`: Stride/increment of the output y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -57,7 +57,7 @@ Arguments to SWAP: xSCAL: Vector scaling ------------- -Multiplies all elements of vector x by a scalar constant alpha. +Multiplies _n_ elements of vector _x_ by a scalar constant _alpha_. C++ API: ``` @@ -94,11 +94,11 @@ StatusCode CLBlastHscal(const size_t n, Arguments to SCAL: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `cl_mem x_buffer`: OpenCL buffer to store the output x vector. * `const size_t x_offset`: The offset in elements from the start of the output x vector. -* `const size_t x_inc`: Stride/increment of the output x vector. +* `const size_t x_inc`: Stride/increment of the output x vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -107,7 +107,7 @@ Arguments to SCAL: xCOPY: Vector copy ------------- -Copies the contents of vector x into vector y. +Copies the contents of vector _x_ into vector _y_. C++ API: ``` @@ -144,13 +144,13 @@ StatusCode CLBlastHcopy(const size_t n, Arguments to COPY: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_mem y_buffer`: OpenCL buffer to store the output y vector. * `const size_t y_offset`: The offset in elements from the start of the output y vector. -* `const size_t y_inc`: Stride/increment of the output y vector. +* `const size_t y_inc`: Stride/increment of the output y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -159,7 +159,7 @@ Arguments to COPY: xAXPY: Vector-times-constant plus vector ------------- -Performs the operation y = alpha * x + y, in which x and y are vectors and alpha is a scalar constant. +Performs the operation _y = alpha * x + y_, in which _x_ and _y_ are vectors and _alpha_ is a scalar constant. C++ API: ``` @@ -202,14 +202,14 @@ StatusCode CLBlastHaxpy(const size_t n, Arguments to AXPY: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_mem y_buffer`: OpenCL buffer to store the output y vector. * `const size_t y_offset`: The offset in elements from the start of the output y vector. -* `const size_t y_inc`: Stride/increment of the output y vector. +* `const size_t y_inc`: Stride/increment of the output y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -218,7 +218,7 @@ Arguments to AXPY: xDOT: Dot product of two vectors ------------- -Multiplies the vectors x and y element-wise and accumulates the results. The sum is stored in the dot buffer. +Multiplies _n_ elements of the vectors _x_ and _y_ element-wise and accumulates the results. The sum is stored in the _dot_ buffer. C++ API: ``` @@ -251,17 +251,17 @@ StatusCode CLBlastHdot(const size_t n, Arguments to DOT: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `cl_mem dot_buffer`: OpenCL buffer to store the output dot vector. * `const size_t dot_offset`: The offset in elements from the start of the output dot vector. * `cl_mem dot_buffer`: OpenCL buffer to store the output dot vector. * `const size_t dot_offset`: The offset in elements from the start of the output dot vector. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const cl_mem y_buffer`: OpenCL buffer to store the input y vector. * `const size_t y_offset`: The offset in elements from the start of the input y vector. -* `const size_t y_inc`: Stride/increment of the input y vector. +* `const size_t y_inc`: Stride/increment of the input y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -298,17 +298,17 @@ StatusCode CLBlastZdotu(const size_t n, Arguments to DOTU: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `cl_mem dot_buffer`: OpenCL buffer to store the output dot vector. * `const size_t dot_offset`: The offset in elements from the start of the output dot vector. * `cl_mem dot_buffer`: OpenCL buffer to store the output dot vector. * `const size_t dot_offset`: The offset in elements from the start of the output dot vector. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const cl_mem y_buffer`: OpenCL buffer to store the input y vector. * `const size_t y_offset`: The offset in elements from the start of the input y vector. -* `const size_t y_inc`: Stride/increment of the input y vector. +* `const size_t y_inc`: Stride/increment of the input y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -345,17 +345,17 @@ StatusCode CLBlastZdotc(const size_t n, Arguments to DOTC: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `cl_mem dot_buffer`: OpenCL buffer to store the output dot vector. * `const size_t dot_offset`: The offset in elements from the start of the output dot vector. * `cl_mem dot_buffer`: OpenCL buffer to store the output dot vector. * `const size_t dot_offset`: The offset in elements from the start of the output dot vector. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const cl_mem y_buffer`: OpenCL buffer to store the input y vector. * `const size_t y_offset`: The offset in elements from the start of the input y vector. -* `const size_t y_inc`: Stride/increment of the input y vector. +* `const size_t y_inc`: Stride/increment of the input y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -364,7 +364,7 @@ Arguments to DOTC: xNRM2: Euclidian norm of a vector ------------- -Accumulates the square of each element in the x vector and takes the square root. The resulting L2 norm is stored in the nrm2 buffer. +Accumulates the square of _n_ elements in the _x_ vector and takes the square root. The resulting L2 norm is stored in the _nrm2_ buffer. C++ API: ``` @@ -401,14 +401,14 @@ StatusCode CLBlastHnrm2(const size_t n, Arguments to NRM2: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `cl_mem nrm2_buffer`: OpenCL buffer to store the output nrm2 vector. * `const size_t nrm2_offset`: The offset in elements from the start of the output nrm2 vector. * `cl_mem nrm2_buffer`: OpenCL buffer to store the output nrm2 vector. * `const size_t nrm2_offset`: The offset in elements from the start of the output nrm2 vector. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -417,7 +417,7 @@ Arguments to NRM2: xASUM: Absolute sum of values in a vector ------------- -Accumulates the absolute value of each element in the x vector. The results are stored in the asum buffer. +Accumulates the absolute value of _n_ elements in the _x_ vector. The results are stored in the _asum_ buffer. C++ API: ``` @@ -454,14 +454,14 @@ StatusCode CLBlastHasum(const size_t n, Arguments to ASUM: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `cl_mem asum_buffer`: OpenCL buffer to store the output asum vector. * `const size_t asum_offset`: The offset in elements from the start of the output asum vector. * `cl_mem asum_buffer`: OpenCL buffer to store the output asum vector. * `const size_t asum_offset`: The offset in elements from the start of the output asum vector. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -470,7 +470,7 @@ Arguments to ASUM: xSUM: Sum of values in a vector (non-BLAS function) ------------- -Accumulates the values of each element in the x vector. The results are stored in the sum buffer. This routine is the non-absolute version of the xASUM BLAS routine. +Accumulates the values of _n_ elements in the _x_ vector. The results are stored in the _sum_ buffer. This routine is the non-absolute version of the xASUM BLAS routine. C++ API: ``` @@ -507,14 +507,14 @@ StatusCode CLBlastHsum(const size_t n, Arguments to SUM: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `cl_mem sum_buffer`: OpenCL buffer to store the output sum vector. * `const size_t sum_offset`: The offset in elements from the start of the output sum vector. * `cl_mem sum_buffer`: OpenCL buffer to store the output sum vector. * `const size_t sum_offset`: The offset in elements from the start of the output sum vector. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -523,7 +523,7 @@ Arguments to SUM: xAMAX: Index of absolute maximum value in a vector ------------- -Finds the index of the maximum of the absolute values in the x vector. The resulting integer index is stored in the imax buffer. +Finds the index of the maximum of the absolute values in the _x_ vector. The resulting integer index is stored in the _imax_ buffer. C++ API: ``` @@ -560,14 +560,14 @@ StatusCode CLBlastiHamax(const size_t n, Arguments to AMAX: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `cl_mem imax_buffer`: OpenCL buffer to store the output imax vector. * `const size_t imax_offset`: The offset in elements from the start of the output imax vector. * `cl_mem imax_buffer`: OpenCL buffer to store the output imax vector. * `const size_t imax_offset`: The offset in elements from the start of the output imax vector. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -576,7 +576,7 @@ Arguments to AMAX: xMAX: Index of maximum value in a vector (non-BLAS function) ------------- -Finds the index of the maximum of the values in the x vector. The resulting integer index is stored in the imax buffer. This routine is the non-absolute version of the IxAMAX BLAS routine. +Finds the index of the maximum of the values in the _x_ vector. The resulting integer index is stored in the _imax_ buffer. This routine is the non-absolute version of the IxAMAX BLAS routine. C++ API: ``` @@ -613,14 +613,14 @@ StatusCode CLBlastiHmax(const size_t n, Arguments to MAX: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `cl_mem imax_buffer`: OpenCL buffer to store the output imax vector. * `const size_t imax_offset`: The offset in elements from the start of the output imax vector. * `cl_mem imax_buffer`: OpenCL buffer to store the output imax vector. * `const size_t imax_offset`: The offset in elements from the start of the output imax vector. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -629,7 +629,7 @@ Arguments to MAX: xMIN: Index of minimum value in a vector (non-BLAS function) ------------- -Finds the index of the minimum of the values in the x vector. The resulting integer index is stored in the imin buffer. This routine is the non-absolute minimum version of the IxAMAX BLAS routine. +Finds the index of the minimum of the values in the _x_ vector. The resulting integer index is stored in the _imin_ buffer. This routine is the non-absolute minimum version of the IxAMAX BLAS routine. C++ API: ``` @@ -666,14 +666,14 @@ StatusCode CLBlastiHmin(const size_t n, Arguments to MIN: -* `const size_t n`: Integer size argument. +* `const size_t n`: Integer size argument. This value must be positive. * `cl_mem imin_buffer`: OpenCL buffer to store the output imin vector. * `const size_t imin_offset`: The offset in elements from the start of the output imin vector. * `cl_mem imin_buffer`: OpenCL buffer to store the output imin vector. * `const size_t imin_offset`: The offset in elements from the start of the output imin vector. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -682,7 +682,7 @@ Arguments to MIN: xGEMV: General matrix-vector multiplication ------------- -Performs the operation y = alpha * A * x + beta * y, in which x is an input vector, y is an input and output vector, A is an input matrix, and alpha and beta are scalars. The matrix A can optionally be transposed before performing the operation. +Performs the operation _y = alpha * A * x + beta * y_, in which _x_ is an input vector, _y_ is an input and output vector, _A_ is an input matrix, and _alpha_ and _beta_ are scalars. The matrix _A_ can optionally be transposed before performing the operation. C++ API: ``` @@ -743,30 +743,34 @@ StatusCode CLBlastHgemv(const Layout layout, const Transpose a_transpose, Arguments to GEMV: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const size_t m`: Integer size argument. -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Transpose a_transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const size_t m`: Integer size argument. This value must be positive. +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem y_buffer`: OpenCL buffer to store the output y vector. * `const size_t y_offset`: The offset in elements from the start of the output y vector. -* `const size_t y_inc`: Stride/increment of the output y vector. +* `const size_t y_inc`: Stride/increment of the output y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for GEMV: + +* The value of `a_ld` must be at least `m`. + xGBMV: General banded matrix-vector multiplication ------------- -Same operation as xGEMV, but matrix A is banded instead. +Same operation as xGEMV, but matrix _A_ is banded instead. C++ API: ``` @@ -827,32 +831,36 @@ StatusCode CLBlastHgbmv(const Layout layout, const Transpose a_transpose, Arguments to GBMV: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const size_t m`: Integer size argument. -* `const size_t n`: Integer size argument. -* `const size_t kl`: Integer size argument. -* `const size_t ku`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Transpose a_transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const size_t m`: Integer size argument. This value must be positive. +* `const size_t n`: Integer size argument. This value must be positive. +* `const size_t kl`: Integer size argument. This value must be positive. +* `const size_t ku`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem y_buffer`: OpenCL buffer to store the output y vector. * `const size_t y_offset`: The offset in elements from the start of the output y vector. -* `const size_t y_inc`: Stride/increment of the output y vector. +* `const size_t y_inc`: Stride/increment of the output y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for GBMV: + +* The value of `a_ld` must be at least `kl + ku + 1`. + xHEMV: Hermitian matrix-vector multiplication ------------- -Same operation as xGEMV, but matrix A is an Hermitian matrix instead. +Same operation as xGEMV, but matrix _A_ is an Hermitian matrix instead. C++ API: ``` @@ -889,29 +897,33 @@ StatusCode CLBlastZhemv(const Layout layout, const Triangle triangle, Arguments to HEMV: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem y_buffer`: OpenCL buffer to store the output y vector. * `const size_t y_offset`: The offset in elements from the start of the output y vector. -* `const size_t y_inc`: Stride/increment of the output y vector. +* `const size_t y_inc`: Stride/increment of the output y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for HEMV: + +* The value of `a_ld` must be at least `n`. + xHBMV: Hermitian banded matrix-vector multiplication ------------- -Same operation as xGEMV, but matrix A is an Hermitian banded matrix instead. +Same operation as xGEMV, but matrix _A_ is an Hermitian banded matrix instead. C++ API: ``` @@ -948,30 +960,34 @@ StatusCode CLBlastZhbmv(const Layout layout, const Triangle triangle, Arguments to HBMV: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. -* `const size_t k`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. +* `const size_t k`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem y_buffer`: OpenCL buffer to store the output y vector. * `const size_t y_offset`: The offset in elements from the start of the output y vector. -* `const size_t y_inc`: Stride/increment of the output y vector. +* `const size_t y_inc`: Stride/increment of the output y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for HBMV: + +* The value of `a_ld` must be at least `k + 1`. + xHPMV: Hermitian packed matrix-vector multiplication ------------- -Same operation as xGEMV, but matrix A is an Hermitian packed matrix instead and represented as AP. +Same operation as xGEMV, but matrix _A_ is an Hermitian packed matrix instead and represented as _AP_. C++ API: ``` @@ -1008,19 +1024,19 @@ StatusCode CLBlastZhpmv(const Layout layout, const Triangle triangle, Arguments to HPMV: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem ap_buffer`: OpenCL buffer to store the input AP matrix. * `const size_t ap_offset`: The offset in elements from the start of the input AP matrix. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem y_buffer`: OpenCL buffer to store the output y vector. * `const size_t y_offset`: The offset in elements from the start of the output y vector. -* `const size_t y_inc`: Stride/increment of the output y vector. +* `const size_t y_inc`: Stride/increment of the output y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -1029,7 +1045,7 @@ Arguments to HPMV: xSYMV: Symmetric matrix-vector multiplication ------------- -Same operation as xGEMV, but matrix A is symmetric instead. +Same operation as xGEMV, but matrix _A_ is symmetric instead. C++ API: ``` @@ -1074,29 +1090,33 @@ StatusCode CLBlastHsymv(const Layout layout, const Triangle triangle, Arguments to SYMV: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem y_buffer`: OpenCL buffer to store the output y vector. * `const size_t y_offset`: The offset in elements from the start of the output y vector. -* `const size_t y_inc`: Stride/increment of the output y vector. +* `const size_t y_inc`: Stride/increment of the output y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for SYMV: + +* The value of `a_ld` must be at least `n`. + xSBMV: Symmetric banded matrix-vector multiplication ------------- -Same operation as xGEMV, but matrix A is symmetric and banded instead. +Same operation as xGEMV, but matrix _A_ is symmetric and banded instead. C++ API: ``` @@ -1141,30 +1161,34 @@ StatusCode CLBlastHsbmv(const Layout layout, const Triangle triangle, Arguments to SBMV: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. -* `const size_t k`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. +* `const size_t k`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem y_buffer`: OpenCL buffer to store the output y vector. * `const size_t y_offset`: The offset in elements from the start of the output y vector. -* `const size_t y_inc`: Stride/increment of the output y vector. +* `const size_t y_inc`: Stride/increment of the output y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for SBMV: + +* The value of `a_ld` must be at least `k + 1`. + xSPMV: Symmetric packed matrix-vector multiplication ------------- -Same operation as xGEMV, but matrix A is a symmetric packed matrix instead and represented as AP. +Same operation as xGEMV, but matrix _A_ is a symmetric packed matrix instead and represented as _AP_. C++ API: ``` @@ -1209,19 +1233,19 @@ StatusCode CLBlastHspmv(const Layout layout, const Triangle triangle, Arguments to SPMV: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem ap_buffer`: OpenCL buffer to store the input AP matrix. * `const size_t ap_offset`: The offset in elements from the start of the input AP matrix. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem y_buffer`: OpenCL buffer to store the output y vector. * `const size_t y_offset`: The offset in elements from the start of the output y vector. -* `const size_t y_inc`: Stride/increment of the output y vector. +* `const size_t y_inc`: Stride/increment of the output y vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -1230,7 +1254,7 @@ Arguments to SPMV: xTRMV: Triangular matrix-vector multiplication ------------- -Same operation as xGEMV, but matrix A is triangular instead. +Same operation as xGEMV, but matrix _A_ is triangular instead. C++ API: ``` @@ -1273,26 +1297,30 @@ StatusCode CLBlastHtrmv(const Layout layout, const Triangle triangle, const Tran Arguments to TRMV: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const Transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const Diagonal`: The property of the diagonal matrix, either `Diagonal::kNonUnit` (131) for a non-unit values on the diagonal or `Diagonal::kUnit` (132) for a unit values on the diagonal. -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const Transpose a_transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const Diagonal diagonal`: The property of the diagonal matrix, either `Diagonal::kNonUnit` (131) for non-unit values on the diagonal or `Diagonal::kUnit` (132) for unit values on the diagonal. +* `const size_t n`: Integer size argument. This value must be positive. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `cl_mem x_buffer`: OpenCL buffer to store the output x vector. * `const size_t x_offset`: The offset in elements from the start of the output x vector. -* `const size_t x_inc`: Stride/increment of the output x vector. +* `const size_t x_inc`: Stride/increment of the output x vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for TRMV: + +* The value of `a_ld` must be at least `n`. + xTBMV: Triangular banded matrix-vector multiplication ------------- -Same operation as xGEMV, but matrix A is triangular and banded instead. +Same operation as xGEMV, but matrix _A_ is triangular and banded instead. C++ API: ``` @@ -1335,27 +1363,31 @@ StatusCode CLBlastHtbmv(const Layout layout, const Triangle triangle, const Tran Arguments to TBMV: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const Transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const Diagonal`: The property of the diagonal matrix, either `Diagonal::kNonUnit` (131) for a non-unit values on the diagonal or `Diagonal::kUnit` (132) for a unit values on the diagonal. -* `const size_t n`: Integer size argument. -* `const size_t k`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const Transpose a_transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const Diagonal diagonal`: The property of the diagonal matrix, either `Diagonal::kNonUnit` (131) for non-unit values on the diagonal or `Diagonal::kUnit` (132) for unit values on the diagonal. +* `const size_t n`: Integer size argument. This value must be positive. +* `const size_t k`: Integer size argument. This value must be positive. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `cl_mem x_buffer`: OpenCL buffer to store the output x vector. * `const size_t x_offset`: The offset in elements from the start of the output x vector. -* `const size_t x_inc`: Stride/increment of the output x vector. +* `const size_t x_inc`: Stride/increment of the output x vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for TBMV: + +* The value of `a_ld` must be at least `k + 1`. + xTPMV: Triangular packed matrix-vector multiplication ------------- -Same operation as xGEMV, but matrix A is a triangular packed matrix instead and repreented as AP. +Same operation as xGEMV, but matrix _A_ is a triangular packed matrix instead and repreented as _AP_. C++ API: ``` @@ -1398,16 +1430,16 @@ StatusCode CLBlastHtpmv(const Layout layout, const Triangle triangle, const Tran Arguments to TPMV: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const Transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const Diagonal`: The property of the diagonal matrix, either `Diagonal::kNonUnit` (131) for a non-unit values on the diagonal or `Diagonal::kUnit` (132) for a unit values on the diagonal. -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const Transpose a_transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const Diagonal diagonal`: The property of the diagonal matrix, either `Diagonal::kNonUnit` (131) for non-unit values on the diagonal or `Diagonal::kUnit` (132) for unit values on the diagonal. +* `const size_t n`: Integer size argument. This value must be positive. * `const cl_mem ap_buffer`: OpenCL buffer to store the input AP matrix. * `const size_t ap_offset`: The offset in elements from the start of the input AP matrix. * `cl_mem x_buffer`: OpenCL buffer to store the output x vector. * `const size_t x_offset`: The offset in elements from the start of the output x vector. -* `const size_t x_inc`: Stride/increment of the output x vector. +* `const size_t x_inc`: Stride/increment of the output x vector. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. @@ -1416,7 +1448,7 @@ Arguments to TPMV: xGER: General rank-1 matrix update ------------- -Performs the operation A = alpha * x * y^T + A, in which x is an input vector, y^T is the transpose of the input vector y, A is the matrix to be updated, and alpha is a scalar value. +Performs the operation _A = alpha * x * y^T + A_, in which _x_ is an input vector, _y^T_ is the transpose of the input vector _y_, _A_ is the matrix to be updated, and _alpha_ is a scalar value. C++ API: ``` @@ -1457,22 +1489,26 @@ StatusCode CLBlastHger(const Layout layout, Arguments to GER: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const size_t m`: Integer size argument. -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const size_t m`: Integer size argument. This value must be positive. +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const cl_mem y_buffer`: OpenCL buffer to store the input y vector. * `const size_t y_offset`: The offset in elements from the start of the input y vector. -* `const size_t y_inc`: Stride/increment of the input y vector. +* `const size_t y_inc`: Stride/increment of the input y vector. This value must be greater than 0. * `cl_mem a_buffer`: OpenCL buffer to store the output A matrix. * `const size_t a_offset`: The offset in elements from the start of the output A matrix. -* `const size_t a_ld`: Leading dimension of the output A matrix. +* `const size_t a_ld`: Leading dimension of the output A matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for GER: + +* The value of `a_ld` must be at least `m`. + xGERU: General rank-1 complex matrix update @@ -1512,22 +1548,26 @@ StatusCode CLBlastZgeru(const Layout layout, Arguments to GERU: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const size_t m`: Integer size argument. -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const size_t m`: Integer size argument. This value must be positive. +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const cl_mem y_buffer`: OpenCL buffer to store the input y vector. * `const size_t y_offset`: The offset in elements from the start of the input y vector. -* `const size_t y_inc`: Stride/increment of the input y vector. +* `const size_t y_inc`: Stride/increment of the input y vector. This value must be greater than 0. * `cl_mem a_buffer`: OpenCL buffer to store the output A matrix. * `const size_t a_offset`: The offset in elements from the start of the output A matrix. -* `const size_t a_ld`: Leading dimension of the output A matrix. +* `const size_t a_ld`: Leading dimension of the output A matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for GERU: + +* The value of `a_ld` must be at least `m`. + xGERC: General rank-1 complex conjugated matrix update @@ -1567,28 +1607,32 @@ StatusCode CLBlastZgerc(const Layout layout, Arguments to GERC: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const size_t m`: Integer size argument. -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const size_t m`: Integer size argument. This value must be positive. +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const cl_mem y_buffer`: OpenCL buffer to store the input y vector. * `const size_t y_offset`: The offset in elements from the start of the input y vector. -* `const size_t y_inc`: Stride/increment of the input y vector. +* `const size_t y_inc`: Stride/increment of the input y vector. This value must be greater than 0. * `cl_mem a_buffer`: OpenCL buffer to store the output A matrix. * `const size_t a_offset`: The offset in elements from the start of the output A matrix. -* `const size_t a_ld`: Leading dimension of the output A matrix. +* `const size_t a_ld`: Leading dimension of the output A matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for GERC: + +* The value of `a_ld` must be at least `m`. + xHER: Hermitian rank-1 matrix update ------------- -Performs the operation A = alpha * x * x^T + A, in which x is an input vector, x^T is the transpose of this vector, A is the triangular Hermetian matrix to be updated, and alpha is a scalar value. +Performs the operation _A = alpha * x * x^T + A_, in which x is an input vector, x^T is the transpose of this vector, _A_ is the triangular Hermetian matrix to be updated, and alpha is a scalar value. C++ API: ``` @@ -1619,25 +1663,29 @@ StatusCode CLBlastZher(const Layout layout, const Triangle triangle, Arguments to HER: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_mem a_buffer`: OpenCL buffer to store the output A matrix. * `const size_t a_offset`: The offset in elements from the start of the output A matrix. -* `const size_t a_ld`: Leading dimension of the output A matrix. +* `const size_t a_ld`: Leading dimension of the output A matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for HER: + +* The value of `a_ld` must be at least `n`. + xHPR: Hermitian packed rank-1 matrix update ------------- -Same operation as xHER, but matrix A is an Hermitian packed matrix instead and represented as AP. +Same operation as xHER, but matrix _A_ is an Hermitian packed matrix instead and represented as _AP_. C++ API: ``` @@ -1668,13 +1716,13 @@ StatusCode CLBlastZhpr(const Layout layout, const Triangle triangle, Arguments to HPR: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_mem ap_buffer`: OpenCL buffer to store the output AP matrix. * `const size_t ap_offset`: The offset in elements from the start of the output AP matrix. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. @@ -1685,7 +1733,7 @@ Arguments to HPR: xHER2: Hermitian rank-2 matrix update ------------- -Performs the operation A = alpha * x * y^T + conj(alpha) * y * x^T + A, in which x is an input vector and x^T its transpose, y is an input vector and y^T its transpose, A is the triangular Hermetian matrix to be updated, alpha is a scalar value and conj(alpha) its complex conjugate. +Performs the operation _A = alpha * x * y^T + conj(alpha) * y * x^T + A_, in which _x_ is an input vector and _x^T_ its transpose, _y_ is an input vector and _y^T_ its transpose, _A_ is the triangular Hermetian matrix to be updated, _alpha_ is a scalar value and _conj(alpha)_ its complex conjugate. C++ API: ``` @@ -1719,28 +1767,32 @@ StatusCode CLBlastZher2(const Layout layout, const Triangle triangle, Arguments to HER2: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const cl_mem y_buffer`: OpenCL buffer to store the input y vector. * `const size_t y_offset`: The offset in elements from the start of the input y vector. -* `const size_t y_inc`: Stride/increment of the input y vector. +* `const size_t y_inc`: Stride/increment of the input y vector. This value must be greater than 0. * `cl_mem a_buffer`: OpenCL buffer to store the output A matrix. * `const size_t a_offset`: The offset in elements from the start of the output A matrix. -* `const size_t a_ld`: Leading dimension of the output A matrix. +* `const size_t a_ld`: Leading dimension of the output A matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for HER2: + +* The value of `a_ld` must be at least `n`. + xHPR2: Hermitian packed rank-2 matrix update ------------- -Same operation as xHER2, but matrix A is an Hermitian packed matrix instead and represented as AP. +Same operation as xHER2, but matrix _A_ is an Hermitian packed matrix instead and represented as _AP_. C++ API: ``` @@ -1774,16 +1826,16 @@ StatusCode CLBlastZhpr2(const Layout layout, const Triangle triangle, Arguments to HPR2: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const cl_mem y_buffer`: OpenCL buffer to store the input y vector. * `const size_t y_offset`: The offset in elements from the start of the input y vector. -* `const size_t y_inc`: Stride/increment of the input y vector. +* `const size_t y_inc`: Stride/increment of the input y vector. This value must be greater than 0. * `cl_mem ap_buffer`: OpenCL buffer to store the output AP matrix. * `const size_t ap_offset`: The offset in elements from the start of the output AP matrix. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. @@ -1831,25 +1883,29 @@ StatusCode CLBlastHsyr(const Layout layout, const Triangle triangle, Arguments to SYR: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_mem a_buffer`: OpenCL buffer to store the output A matrix. * `const size_t a_offset`: The offset in elements from the start of the output A matrix. -* `const size_t a_ld`: Leading dimension of the output A matrix. +* `const size_t a_ld`: Leading dimension of the output A matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for SYR: + +* The value of `a_ld` must be at least `n`. + xSPR: Symmetric packed rank-1 matrix update ------------- -Same operation as xSPR, but matrix A is a symmetric packed matrix instead and represented as AP. +Same operation as xSPR, but matrix _A_ is a symmetric packed matrix instead and represented as _AP_. C++ API: ``` @@ -1886,13 +1942,13 @@ StatusCode CLBlastHspr(const Layout layout, const Triangle triangle, Arguments to SPR: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `cl_mem ap_buffer`: OpenCL buffer to store the output AP matrix. * `const size_t ap_offset`: The offset in elements from the start of the output AP matrix. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. @@ -1903,7 +1959,7 @@ Arguments to SPR: xSYR2: Symmetric rank-2 matrix update ------------- -Same operation as xHER2, but matrix A is a symmetric matrix instead. +Same operation as xHER2, but matrix _A_ is a symmetric matrix instead. C++ API: ``` @@ -1944,28 +2000,32 @@ StatusCode CLBlastHsyr2(const Layout layout, const Triangle triangle, Arguments to SYR2: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const cl_mem y_buffer`: OpenCL buffer to store the input y vector. * `const size_t y_offset`: The offset in elements from the start of the input y vector. -* `const size_t y_inc`: Stride/increment of the input y vector. +* `const size_t y_inc`: Stride/increment of the input y vector. This value must be greater than 0. * `cl_mem a_buffer`: OpenCL buffer to store the output A matrix. * `const size_t a_offset`: The offset in elements from the start of the output A matrix. -* `const size_t a_ld`: Leading dimension of the output A matrix. +* `const size_t a_ld`: Leading dimension of the output A matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for SYR2: + +* The value of `a_ld` must be at least `n`. + xSPR2: Symmetric packed rank-2 matrix update ------------- -Same operation as xSPR2, but matrix A is a symmetric packed matrix instead and represented as AP. +Same operation as xSPR2, but matrix _A_ is a symmetric packed matrix instead and represented as _AP_. C++ API: ``` @@ -2006,16 +2066,16 @@ StatusCode CLBlastHspr2(const Layout layout, const Triangle triangle, Arguments to SPR2: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem x_buffer`: OpenCL buffer to store the input x vector. * `const size_t x_offset`: The offset in elements from the start of the input x vector. -* `const size_t x_inc`: Stride/increment of the input x vector. +* `const size_t x_inc`: Stride/increment of the input x vector. This value must be greater than 0. * `const cl_mem y_buffer`: OpenCL buffer to store the input y vector. * `const size_t y_offset`: The offset in elements from the start of the input y vector. -* `const size_t y_inc`: Stride/increment of the input y vector. +* `const size_t y_inc`: Stride/increment of the input y vector. This value must be greater than 0. * `cl_mem ap_buffer`: OpenCL buffer to store the output AP matrix. * `const size_t ap_offset`: The offset in elements from the start of the output AP matrix. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. @@ -2026,7 +2086,7 @@ Arguments to SPR2: xGEMM: General matrix-matrix multiplication ------------- - +Performs the matrix product _C = alpha * A * B + beta * C_, in which _A_ (_m_ by _k_) and _B_ (_k_ by _n_) are two general rectangular input matrices, _C_ (_m_ by _n_) is the matrix to be updated, and _alpha_ and _beta_ are scalar values. The matrices _A_ and/or _B_ can optionally be transposed before performing the operation. C++ API: ``` @@ -2087,32 +2147,38 @@ StatusCode CLBlastHgemm(const Layout layout, const Transpose a_transpose, const Arguments to GEMM: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const Transpose`: Transposing the input matrix B, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const size_t m`: Integer size argument. -* `const size_t n`: Integer size argument. -* `const size_t k`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Transpose a_transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const Transpose b_transpose`: Transposing the input matrix B, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const size_t m`: Integer size argument. This value must be positive. +* `const size_t n`: Integer size argument. This value must be positive. +* `const size_t k`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const cl_mem b_buffer`: OpenCL buffer to store the input B matrix. * `const size_t b_offset`: The offset in elements from the start of the input B matrix. -* `const size_t b_ld`: Leading dimension of the input B matrix. +* `const size_t b_ld`: Leading dimension of the input B matrix. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem c_buffer`: OpenCL buffer to store the output C matrix. * `const size_t c_offset`: The offset in elements from the start of the output C matrix. -* `const size_t c_ld`: Leading dimension of the output C matrix. +* `const size_t c_ld`: Leading dimension of the output C matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for GEMM: + +* When `transpose_a == Transpose::kNo`, then `a_ld` must be at least `m`, otherwise `a_ld` must be at least `k`. +* When `transpose_b == Transpose::kNo`, then `b_ld` must be at least `k`, otherwise `b_ld` must be at least `n`. +* The value of `c_ld` must be at least `m`. + xSYMM: Symmetric matrix-matrix multiplication ------------- - +Same operation as xGEMM, but _A_ is symmetric instead. In case of `side == kLeft`, _A_ is a symmetric _m_ by _m_ matrix and _C = alpha * A * B + beta * C_ is performed. Otherwise, in case of `side == kRight`, _A_ is a symmtric _n_ by _n_ matrix and _C = alpha * B * A + beta * C_ is performed. C++ API: ``` @@ -2173,31 +2239,37 @@ StatusCode CLBlastHsymm(const Layout layout, const Side side, const Triangle tri Arguments to SYMM: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Side`: The horizontal position of the triangular matrix, either `Side::kLeft` (141) or `Side::kRight` (142). -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t m`: Integer size argument. -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Side side`: The position of the triangular matrix in the operation, either on the `Side::kLeft` (141) or `Side::kRight` (142). +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t m`: Integer size argument. This value must be positive. +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const cl_mem b_buffer`: OpenCL buffer to store the input B matrix. * `const size_t b_offset`: The offset in elements from the start of the input B matrix. -* `const size_t b_ld`: Leading dimension of the input B matrix. +* `const size_t b_ld`: Leading dimension of the input B matrix. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem c_buffer`: OpenCL buffer to store the output C matrix. * `const size_t c_offset`: The offset in elements from the start of the output C matrix. -* `const size_t c_ld`: Leading dimension of the output C matrix. +* `const size_t c_ld`: Leading dimension of the output C matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for SYMM: + +* When `side = Side::kLeft` then `a_ld` must be at least `m`, otherwise `a_ld` must be at least `n`. +* The value of `b_ld` must be at least `m`. +* The value of `c_ld` must be at least `m`. + xHEMM: Hermitian matrix-matrix multiplication ------------- - +Same operation as xSYMM, but _A_ is an Hermitian matrix instead. C++ API: ``` @@ -2234,31 +2306,37 @@ StatusCode CLBlastZhemm(const Layout layout, const Side side, const Triangle tri Arguments to HEMM: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Side`: The horizontal position of the triangular matrix, either `Side::kLeft` (141) or `Side::kRight` (142). -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const size_t m`: Integer size argument. -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Side side`: The position of the triangular matrix in the operation, either on the `Side::kLeft` (141) or `Side::kRight` (142). +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const size_t m`: Integer size argument. This value must be positive. +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const cl_mem b_buffer`: OpenCL buffer to store the input B matrix. * `const size_t b_offset`: The offset in elements from the start of the input B matrix. -* `const size_t b_ld`: Leading dimension of the input B matrix. +* `const size_t b_ld`: Leading dimension of the input B matrix. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem c_buffer`: OpenCL buffer to store the output C matrix. * `const size_t c_offset`: The offset in elements from the start of the output C matrix. -* `const size_t c_ld`: Leading dimension of the output C matrix. +* `const size_t c_ld`: Leading dimension of the output C matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for HEMM: + +* When `side = Side::kLeft` then `a_ld` must be at least `m`, otherwise `a_ld` must be at least `n`. +* The value of `b_ld` must be at least `m`. +* The value of `c_ld` must be at least `m`. + xSYRK: Rank-K update of a symmetric matrix ------------- - +Performs the matrix product _C = alpha * A * A^T + beta * C_ or _C = alpha * A^T * A + beta * C_, in which _A_ is a general matrix and _A^T_ is its transpose, _C_ (_n_ by _n_) is the symmetric matrix to be updated, and _alpha_ and _beta_ are scalar values. C++ API: ``` @@ -2313,28 +2391,33 @@ StatusCode CLBlastHsyrk(const Layout layout, const Triangle triangle, const Tran Arguments to SYRK: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const Transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const size_t n`: Integer size argument. -* `const size_t k`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const Transpose a_transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const size_t n`: Integer size argument. This value must be positive. +* `const size_t k`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem c_buffer`: OpenCL buffer to store the output C matrix. * `const size_t c_offset`: The offset in elements from the start of the output C matrix. -* `const size_t c_ld`: Leading dimension of the output C matrix. +* `const size_t c_ld`: Leading dimension of the output C matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for SYRK: + +* When `transpose == Transpose::kNo`, then `a_ld` must be at least `n`, otherwise `a_ld` must be at least `k`. +* The value of `c_ld` must be at least `m`. + xHERK: Rank-K update of a hermitian matrix ------------- - +Same operation as xSYRK, but _C_ is an Hermitian matrix instead. C++ API: ``` @@ -2368,28 +2451,33 @@ StatusCode CLBlastZherk(const Layout layout, const Triangle triangle, const Tran Arguments to HERK: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const Transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const size_t n`: Integer size argument. -* `const size_t k`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const Transpose a_transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const size_t n`: Integer size argument. This value must be positive. +* `const size_t k`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem c_buffer`: OpenCL buffer to store the output C matrix. * `const size_t c_offset`: The offset in elements from the start of the output C matrix. -* `const size_t c_ld`: Leading dimension of the output C matrix. +* `const size_t c_ld`: Leading dimension of the output C matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for HERK: + +* When `transpose == Transpose::kNo`, then `a_ld` must be at least `n`, otherwise `a_ld` must be at least `k`. +* The value of `c_ld` must be at least `m`. + xSYR2K: Rank-2K update of a symmetric matrix ------------- - +Performs the matrix product _C = alpha * A * B^T + alpha * B * A^T + beta * C_ or _C = alpha * A^T * B + alpha * B^T * A + beta * C_, in which _A_ and _B_ are general matrices and _A^T_ and _B^T_ are their transposed versions, _C_ (_n_ by _n_) is the symmetric matrix to be updated, and _alpha_ and _beta_ are scalar values. C++ API: ``` @@ -2450,31 +2538,37 @@ StatusCode CLBlastHsyr2k(const Layout layout, const Triangle triangle, const Tra Arguments to SYR2K: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const Transpose`: Transposing the packed input matrix AP, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const size_t n`: Integer size argument. -* `const size_t k`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const Transpose ab_transpose`: Transposing the packed input matrix AP, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const size_t n`: Integer size argument. This value must be positive. +* `const size_t k`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const cl_mem b_buffer`: OpenCL buffer to store the input B matrix. * `const size_t b_offset`: The offset in elements from the start of the input B matrix. -* `const size_t b_ld`: Leading dimension of the input B matrix. +* `const size_t b_ld`: Leading dimension of the input B matrix. This value must be greater than 0. * `const T beta`: Input scalar constant. * `cl_mem c_buffer`: OpenCL buffer to store the output C matrix. * `const size_t c_offset`: The offset in elements from the start of the output C matrix. -* `const size_t c_ld`: Leading dimension of the output C matrix. +* `const size_t c_ld`: Leading dimension of the output C matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for SYR2K: + +* When `transpose == Transpose::kNo`, then `a_ld` must be at least `n`, otherwise `a_ld` must be at least `k`. +* When `transpose == Transpose::kNo`, then `b_ld` must be at least `n`, otherwise `b_ld` must be at least `k`. +* The value of `c_ld` must be at least `n`. + xHER2K: Rank-2K update of a hermitian matrix ------------- - +Same operation as xSYR2K, but _C_ is an Hermitian matrix instead. C++ API: ``` @@ -2511,31 +2605,37 @@ StatusCode CLBlastZher2k(const Layout layout, const Triangle triangle, const Tra Arguments to HER2K: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const Transpose`: Transposing the packed input matrix AP, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const size_t n`: Integer size argument. -* `const size_t k`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const Transpose ab_transpose`: Transposing the packed input matrix AP, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const size_t n`: Integer size argument. This value must be positive. +* `const size_t k`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `const cl_mem b_buffer`: OpenCL buffer to store the input B matrix. * `const size_t b_offset`: The offset in elements from the start of the input B matrix. -* `const size_t b_ld`: Leading dimension of the input B matrix. +* `const size_t b_ld`: Leading dimension of the input B matrix. This value must be greater than 0. * `const U beta`: Input scalar constant. * `cl_mem c_buffer`: OpenCL buffer to store the output C matrix. * `const size_t c_offset`: The offset in elements from the start of the output C matrix. -* `const size_t c_ld`: Leading dimension of the output C matrix. +* `const size_t c_ld`: Leading dimension of the output C matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for HER2K: + +* When `transpose == Transpose::kNo`, then `a_ld` must be at least `n`, otherwise `a_ld` must be at least `k`. +* When `transpose == Transpose::kNo`, then `b_ld` must be at least `n`, otherwise `b_ld` must be at least `k`. +* The value of `c_ld` must be at least `n`. + xTRMM: Triangular matrix-matrix multiplication ------------- - +Performs the matrix product _B = alpha * A * B_ or _B = alpha * B * A_, in which _A_ is a unit or non-unit triangular matrix, _B_ (_m_ by _n_) is the general matrix to be updated, and _alpha_ is a scalar value. C++ API: ``` @@ -2584,22 +2684,27 @@ StatusCode CLBlastHtrmm(const Layout layout, const Side side, const Triangle tri Arguments to TRMM: -* `const Layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. -* `const Side`: The horizontal position of the triangular matrix, either `Side::kLeft` (141) or `Side::kRight` (142). -* `const Triangle`: The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). -* `const Transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. -* `const Diagonal`: The property of the diagonal matrix, either `Diagonal::kNonUnit` (131) for a non-unit values on the diagonal or `Diagonal::kUnit` (132) for a unit values on the diagonal. -* `const size_t m`: Integer size argument. -* `const size_t n`: Integer size argument. +* `const Layout layout`: Data-layout of the matrices, either `Layout::kRowMajor` (101) for row-major layout or `Layout::kColMajor` (102) for column-major data-layout. +* `const Side side`: The position of the triangular matrix in the operation, either on the `Side::kLeft` (141) or `Side::kRight` (142). +* `const Triangle triangle`: The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122). +* `const Transpose a_transpose`: Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose. +* `const Diagonal diagonal`: The property of the diagonal matrix, either `Diagonal::kNonUnit` (131) for non-unit values on the diagonal or `Diagonal::kUnit` (132) for unit values on the diagonal. +* `const size_t m`: Integer size argument. This value must be positive. +* `const size_t n`: Integer size argument. This value must be positive. * `const T alpha`: Input scalar constant. * `const cl_mem a_buffer`: OpenCL buffer to store the input A matrix. * `const size_t a_offset`: The offset in elements from the start of the input A matrix. -* `const size_t a_ld`: Leading dimension of the input A matrix. +* `const size_t a_ld`: Leading dimension of the input A matrix. This value must be greater than 0. * `cl_mem b_buffer`: OpenCL buffer to store the output B matrix. * `const size_t b_offset`: The offset in elements from the start of the output B matrix. -* `const size_t b_ld`: Leading dimension of the output B matrix. +* `const size_t b_ld`: Leading dimension of the output B matrix. This value must be greater than 0. * `cl_command_queue* queue`: Pointer to an OpenCL command queue associated with a context and device to execute the routine on. * `cl_event* event`: Pointer to an OpenCL event to be able to wait for completion of the routine's OpenCL kernel(s). This is an optional argument. +Requirements for TRMM: + +* When `side = Side::kLeft` then `a_ld` must be at least `m`, otherwise `a_ld` must be at least `n`. +* The value of `b_ld` must be at least `m`. + diff --git a/scripts/generator/generator.py b/scripts/generator/generator.py index 16a05564..7bb66749 100644 --- a/scripts/generator/generator.py +++ b/scripts/generator/generator.py @@ -59,6 +59,22 @@ TU = DataType("TU", "typename T, typename U", "T,U", ["T", "U", "T", "U"], "T") # ================================================================================================== +# Different possibilities for requirements +ald_m = "The value of `a_ld` must be at least `m`." +ald_n = "The value of `a_ld` must be at least `n`." +ald_k_one = "The value of `a_ld` must be at least `k + 1`." +ald_kl_ku_one = "The value of `a_ld` must be at least `kl + ku + 1`." +ald_transa_m_k = "When `transpose_a == Transpose::kNo`, then `a_ld` must be at least `m`, otherwise `a_ld` must be at least `k`." +ald_trans_n_k = "When `transpose == Transpose::kNo`, then `a_ld` must be at least `n`, otherwise `a_ld` must be at least `k`." +ald_side_m_n = "When `side = Side::kLeft` then `a_ld` must be at least `m`, otherwise `a_ld` must be at least `n`." +bld_m = "The value of `b_ld` must be at least `m`." +bld_transb_k_n = "When `transpose_b == Transpose::kNo`, then `b_ld` must be at least `k`, otherwise `b_ld` must be at least `n`." +bld_trans_n_k = "When `transpose == Transpose::kNo`, then `b_ld` must be at least `n`, otherwise `b_ld` must be at least `k`." +cld_m = "The value of `c_ld` must be at least `m`." +cld_n = "The value of `c_ld` must be at least `n`." + +# ================================================================================================== + # Populates a list of routines routines = [ [ # Level 1: vector-vector @@ -66,57 +82,57 @@ routines = [ Routine(False, True, "1", "rotmg", T, [S,D], [], [], ["sy1"], ["sd1","sd2","sx1","sparam"], [], "", "Generate modified givens plane rotation", "", []), Routine(False, True, "1", "rot", T, [S,D], ["n"], [], [], ["x","y"], ["cos","sin"], "", "Apply givens plane rotation", "", []), Routine(False, True, "1", "rotm", T, [S,D], ["n"], [], [], ["x","y","sparam"], [], "", "Apply modified givens plane rotation", "", []), - Routine(True, True, "1", "swap", T, [S,D,C,Z,H], ["n"], [], [], ["x","y"], [], "", "Swap two vectors", "Interchanges the contents of vectors x and y.", []), - Routine(True, True, "1", "scal", T, [S,D,C,Z,H], ["n"], [], [], ["x"], ["alpha"], "", "Vector scaling", "Multiplies all elements of vector x by a scalar constant alpha.", []), - Routine(True, True, "1", "copy", T, [S,D,C,Z,H], ["n"], [], ["x"], ["y"], [], "", "Vector copy", "Copies the contents of vector x into vector y.", []), - Routine(True, True, "1", "axpy", T, [S,D,C,Z,H], ["n"], [], ["x"], ["y"], ["alpha"], "", "Vector-times-constant plus vector", "Performs the operation y = alpha * x + y, in which x and y are vectors and alpha is a scalar constant.", []), - Routine(True, True, "1", "dot", T, [S,D,H], ["n"], [], ["x","y"], ["dot"], [], "n", "Dot product of two vectors", "Multiplies the vectors x and y element-wise and accumulates the results. The sum is stored in the dot buffer.", []), + Routine(True, True, "1", "swap", T, [S,D,C,Z,H], ["n"], [], [], ["x","y"], [], "", "Swap two vectors", "Interchanges _n_ elements of vectors _x_ and _y_.", []), + Routine(True, True, "1", "scal", T, [S,D,C,Z,H], ["n"], [], [], ["x"], ["alpha"], "", "Vector scaling", "Multiplies _n_ elements of vector _x_ by a scalar constant _alpha_.", []), + Routine(True, True, "1", "copy", T, [S,D,C,Z,H], ["n"], [], ["x"], ["y"], [], "", "Vector copy", "Copies the contents of vector _x_ into vector _y_.", []), + Routine(True, True, "1", "axpy", T, [S,D,C,Z,H], ["n"], [], ["x"], ["y"], ["alpha"], "", "Vector-times-constant plus vector", "Performs the operation _y = alpha * x + y_, in which _x_ and _y_ are vectors and _alpha_ is a scalar constant.", []), + Routine(True, True, "1", "dot", T, [S,D,H], ["n"], [], ["x","y"], ["dot"], [], "n", "Dot product of two vectors", "Multiplies _n_ elements of the vectors _x_ and _y_ element-wise and accumulates the results. The sum is stored in the _dot_ buffer.", []), Routine(True, True, "1", "dotu", T, [C,Z], ["n"], [], ["x","y"], ["dot"], [], "n", "Dot product of two complex vectors", "See the regular xDOT routine.", []), Routine(True, True, "1", "dotc", T, [C,Z], ["n"], [], ["x","y"], ["dot"], [], "n", "Dot product of two complex vectors, one conjugated", "See the regular xDOT routine.", []), - Routine(True, True, "1", "nrm2", T, [S,D,Sc,Dz,H], ["n"], [], ["x"], ["nrm2"], [], "2*n", "Euclidian norm of a vector", "Accumulates the square of each element in the x vector and takes the square root. The resulting L2 norm is stored in the nrm2 buffer.", []), - Routine(True, True, "1", "asum", T, [S,D,Sc,Dz,H], ["n"], [], ["x"], ["asum"], [], "n", "Absolute sum of values in a vector", "Accumulates the absolute value of each element in the x vector. The results are stored in the asum buffer.", []), - Routine(True, False, "1", "sum", T, [S,D,Sc,Dz,H], ["n"], [], ["x"], ["sum"], [], "n", "Sum of values in a vector (non-BLAS function)", "Accumulates the values of each element in the x vector. The results are stored in the sum buffer. This routine is the non-absolute version of the xASUM BLAS routine.", []), - Routine(True, True, "1", "amax", T, [iS,iD,iC,iZ,iH], ["n"], [], ["x"], ["imax"], [], "2*n", "Index of absolute maximum value in a vector", "Finds the index of the maximum of the absolute values in the x vector. The resulting integer index is stored in the imax buffer.", []), - Routine(True, False, "1", "max", T, [iS,iD,iC,iZ,iH], ["n"], [], ["x"], ["imax"], [], "2*n", "Index of maximum value in a vector (non-BLAS function)", "Finds the index of the maximum of the values in the x vector. The resulting integer index is stored in the imax buffer. This routine is the non-absolute version of the IxAMAX BLAS routine.", []), - Routine(True, False, "1", "min", T, [iS,iD,iC,iZ,iH], ["n"], [], ["x"], ["imin"], [], "2*n", "Index of minimum value in a vector (non-BLAS function)", "Finds the index of the minimum of the values in the x vector. The resulting integer index is stored in the imin buffer. This routine is the non-absolute minimum version of the IxAMAX BLAS routine.", []), + Routine(True, True, "1", "nrm2", T, [S,D,Sc,Dz,H], ["n"], [], ["x"], ["nrm2"], [], "2*n", "Euclidian norm of a vector", "Accumulates the square of _n_ elements in the _x_ vector and takes the square root. The resulting L2 norm is stored in the _nrm2_ buffer.", []), + Routine(True, True, "1", "asum", T, [S,D,Sc,Dz,H], ["n"], [], ["x"], ["asum"], [], "n", "Absolute sum of values in a vector", "Accumulates the absolute value of _n_ elements in the _x_ vector. The results are stored in the _asum_ buffer.", []), + Routine(True, False, "1", "sum", T, [S,D,Sc,Dz,H], ["n"], [], ["x"], ["sum"], [], "n", "Sum of values in a vector (non-BLAS function)", "Accumulates the values of _n_ elements in the _x_ vector. The results are stored in the _sum_ buffer. This routine is the non-absolute version of the xASUM BLAS routine.", []), + Routine(True, True, "1", "amax", T, [iS,iD,iC,iZ,iH], ["n"], [], ["x"], ["imax"], [], "2*n", "Index of absolute maximum value in a vector", "Finds the index of the maximum of the absolute values in the _x_ vector. The resulting integer index is stored in the _imax_ buffer.", []), + Routine(True, False, "1", "max", T, [iS,iD,iC,iZ,iH], ["n"], [], ["x"], ["imax"], [], "2*n", "Index of maximum value in a vector (non-BLAS function)", "Finds the index of the maximum of the values in the _x_ vector. The resulting integer index is stored in the _imax_ buffer. This routine is the non-absolute version of the IxAMAX BLAS routine.", []), + Routine(True, False, "1", "min", T, [iS,iD,iC,iZ,iH], ["n"], [], ["x"], ["imin"], [], "2*n", "Index of minimum value in a vector (non-BLAS function)", "Finds the index of the minimum of the values in the _x_ vector. The resulting integer index is stored in the _imin_ buffer. This routine is the non-absolute minimum version of the IxAMAX BLAS routine.", []), ], [ # Level 2: matrix-vector - Routine(True, True, "2a", "gemv", T, [S,D,C,Z,H], ["m","n"], ["layout","a_transpose"], ["a","x"], ["y"], ["alpha","beta"], "", "General matrix-vector multiplication", "Performs the operation y = alpha * A * x + beta * y, in which x is an input vector, y is an input and output vector, A is an input matrix, and alpha and beta are scalars. The matrix A can optionally be transposed before performing the operation.", []), - Routine(True, True, "2a", "gbmv", T, [S,D,C,Z,H], ["m","n","kl","ku"], ["layout","a_transpose"], ["a","x"], ["y"], ["alpha","beta"], "", "General banded matrix-vector multiplication", "Same operation as xGEMV, but matrix A is banded instead.", []), - Routine(True, True, "2a", "hemv", T, [C,Z], ["n"], ["layout","triangle"], ["a","x"], ["y"], ["alpha","beta"], "", "Hermitian matrix-vector multiplication", "Same operation as xGEMV, but matrix A is an Hermitian matrix instead.", []), - Routine(True, True, "2a", "hbmv", T, [C,Z], ["n","k"], ["layout","triangle"], ["a","x"], ["y"], ["alpha","beta"], "", "Hermitian banded matrix-vector multiplication", "Same operation as xGEMV, but matrix A is an Hermitian banded matrix instead.", []), - Routine(True, True, "2a", "hpmv", T, [C,Z], ["n"], ["layout","triangle"], ["ap","x"], ["y"], ["alpha","beta"], "", "Hermitian packed matrix-vector multiplication", "Same operation as xGEMV, but matrix A is an Hermitian packed matrix instead and represented as AP.", []), - Routine(True, True, "2a", "symv", T, [S,D,H], ["n"], ["layout","triangle"], ["a","x"], ["y"], ["alpha","beta"], "", "Symmetric matrix-vector multiplication", "Same operation as xGEMV, but matrix A is symmetric instead.", []), - Routine(True, True, "2a", "sbmv", T, [S,D,H], ["n","k"], ["layout","triangle"], ["a","x"], ["y"], ["alpha","beta"], "", "Symmetric banded matrix-vector multiplication", "Same operation as xGEMV, but matrix A is symmetric and banded instead.", []), - Routine(True, True, "2a", "spmv", T, [S,D,H], ["n"], ["layout","triangle"], ["ap","x"], ["y"], ["alpha","beta"], "", "Symmetric packed matrix-vector multiplication", "Same operation as xGEMV, but matrix A is a symmetric packed matrix instead and represented as AP.", []), - Routine(True, True, "2a", "trmv", T, [S,D,C,Z,H], ["n"], ["layout","triangle","a_transpose","diagonal"], ["a"], ["x"], [], "n", "Triangular matrix-vector multiplication", "Same operation as xGEMV, but matrix A is triangular instead.", []), - Routine(True, True, "2a", "tbmv", T, [S,D,C,Z,H], ["n","k"], ["layout","triangle","a_transpose","diagonal"], ["a"], ["x"], [], "n", "Triangular banded matrix-vector multiplication", "Same operation as xGEMV, but matrix A is triangular and banded instead.", []), - Routine(True, True, "2a", "tpmv", T, [S,D,C,Z,H], ["n"], ["layout","triangle","a_transpose","diagonal"], ["ap"], ["x"], [], "n", "Triangular packed matrix-vector multiplication", "Same operation as xGEMV, but matrix A is a triangular packed matrix instead and repreented as AP.", []), + Routine(True, True, "2a", "gemv", T, [S,D,C,Z,H], ["m","n"], ["layout","a_transpose"], ["a","x"], ["y"], ["alpha","beta"], "", "General matrix-vector multiplication", "Performs the operation _y = alpha * A * x + beta * y_, in which _x_ is an input vector, _y_ is an input and output vector, _A_ is an input matrix, and _alpha_ and _beta_ are scalars. The matrix _A_ can optionally be transposed before performing the operation.", [ald_m]), + Routine(True, True, "2a", "gbmv", T, [S,D,C,Z,H], ["m","n","kl","ku"], ["layout","a_transpose"], ["a","x"], ["y"], ["alpha","beta"], "", "General banded matrix-vector multiplication", "Same operation as xGEMV, but matrix _A_ is banded instead.", [ald_kl_ku_one]), + Routine(True, True, "2a", "hemv", T, [C,Z], ["n"], ["layout","triangle"], ["a","x"], ["y"], ["alpha","beta"], "", "Hermitian matrix-vector multiplication", "Same operation as xGEMV, but matrix _A_ is an Hermitian matrix instead.", [ald_n]), + Routine(True, True, "2a", "hbmv", T, [C,Z], ["n","k"], ["layout","triangle"], ["a","x"], ["y"], ["alpha","beta"], "", "Hermitian banded matrix-vector multiplication", "Same operation as xGEMV, but matrix _A_ is an Hermitian banded matrix instead.", [ald_k_one]), + Routine(True, True, "2a", "hpmv", T, [C,Z], ["n"], ["layout","triangle"], ["ap","x"], ["y"], ["alpha","beta"], "", "Hermitian packed matrix-vector multiplication", "Same operation as xGEMV, but matrix _A_ is an Hermitian packed matrix instead and represented as _AP_.", []), + Routine(True, True, "2a", "symv", T, [S,D,H], ["n"], ["layout","triangle"], ["a","x"], ["y"], ["alpha","beta"], "", "Symmetric matrix-vector multiplication", "Same operation as xGEMV, but matrix _A_ is symmetric instead.", [ald_n]), + Routine(True, True, "2a", "sbmv", T, [S,D,H], ["n","k"], ["layout","triangle"], ["a","x"], ["y"], ["alpha","beta"], "", "Symmetric banded matrix-vector multiplication", "Same operation as xGEMV, but matrix _A_ is symmetric and banded instead.", [ald_k_one]), + Routine(True, True, "2a", "spmv", T, [S,D,H], ["n"], ["layout","triangle"], ["ap","x"], ["y"], ["alpha","beta"], "", "Symmetric packed matrix-vector multiplication", "Same operation as xGEMV, but matrix _A_ is a symmetric packed matrix instead and represented as _AP_.", []), + Routine(True, True, "2a", "trmv", T, [S,D,C,Z,H], ["n"], ["layout","triangle","a_transpose","diagonal"], ["a"], ["x"], [], "n", "Triangular matrix-vector multiplication", "Same operation as xGEMV, but matrix _A_ is triangular instead.", [ald_n]), + Routine(True, True, "2a", "tbmv", T, [S,D,C,Z,H], ["n","k"], ["layout","triangle","a_transpose","diagonal"], ["a"], ["x"], [], "n", "Triangular banded matrix-vector multiplication", "Same operation as xGEMV, but matrix _A_ is triangular and banded instead.", [ald_k_one]), + Routine(True, True, "2a", "tpmv", T, [S,D,C,Z,H], ["n"], ["layout","triangle","a_transpose","diagonal"], ["ap"], ["x"], [], "n", "Triangular packed matrix-vector multiplication", "Same operation as xGEMV, but matrix _A_ is a triangular packed matrix instead and repreented as _AP_.", []), Routine(False, True, "2a", "trsv", T, [S,D,C,Z], ["n"], ["layout","triangle","a_transpose","diagonal"], ["a"], ["x"], [], "", "Solves a triangular system of equations", "", []), - Routine(False, True, "2a", "tbsv", T, [S,D,C,Z], ["n","k"], ["layout","triangle","a_transpose","diagonal"], ["a"], ["x"], [], "", "Solves a banded triangular system of equations", "", []), + Routine(False, True, "2a", "tbsv", T, [S,D,C,Z], ["n","k"], ["layout","triangle","a_transpose","diagonal"], ["a"], ["x"], [], "", "Solves a banded triangular system of equations", "", [ald_k_one]), Routine(False, True, "2a", "tpsv", T, [S,D,C,Z], ["n"], ["layout","triangle","a_transpose","diagonal"], ["ap"], ["x"], [], "", "Solves a packed triangular system of equations", "", []), # Level 2: matrix update - Routine(True, True, "2b", "ger", T, [S,D,H], ["m","n"], ["layout"], ["x","y"], ["a"], ["alpha"], "", "General rank-1 matrix update", "Performs the operation A = alpha * x * y^T + A, in which x is an input vector, y^T is the transpose of the input vector y, A is the matrix to be updated, and alpha is a scalar value.", []), - Routine(True, True, "2b", "geru", T, [C,Z], ["m","n"], ["layout"], ["x","y"], ["a"], ["alpha"], "", "General rank-1 complex matrix update", "Same operation as xGER, but with complex data-types.", []), - Routine(True, True, "2b", "gerc", T, [C,Z], ["m","n"], ["layout"], ["x","y"], ["a"], ["alpha"], "", "General rank-1 complex conjugated matrix update", "Same operation as xGERU, but the update is done based on the complex conjugate of the input vectors.", []), - Routine(True, True, "2b", "her", Tc, [Css,Zdd], ["n"], ["layout","triangle"], ["x"], ["a"], ["alpha"], "", "Hermitian rank-1 matrix update", "Performs the operation A = alpha * x * x^T + A, in which x is an input vector, x^T is the transpose of this vector, A is the triangular Hermetian matrix to be updated, and alpha is a scalar value.", []), - Routine(True, True, "2b", "hpr", Tc, [Css,Zdd], ["n"], ["layout","triangle"], ["x"], ["ap"], ["alpha"], "", "Hermitian packed rank-1 matrix update", "Same operation as xHER, but matrix A is an Hermitian packed matrix instead and represented as AP.", []), - Routine(True, True, "2b", "her2", T, [C,Z], ["n"], ["layout","triangle"], ["x","y"], ["a"], ["alpha"], "", "Hermitian rank-2 matrix update", "Performs the operation A = alpha * x * y^T + conj(alpha) * y * x^T + A, in which x is an input vector and x^T its transpose, y is an input vector and y^T its transpose, A is the triangular Hermetian matrix to be updated, alpha is a scalar value and conj(alpha) its complex conjugate.", []), - Routine(True, True, "2b", "hpr2", T, [C,Z], ["n"], ["layout","triangle"], ["x","y"], ["ap"], ["alpha"], "", "Hermitian packed rank-2 matrix update", "Same operation as xHER2, but matrix A is an Hermitian packed matrix instead and represented as AP.", []), - Routine(True, True, "2b", "syr", T, [S,D,H], ["n"], ["layout","triangle"], ["x"], ["a"], ["alpha"], "", "Symmetric rank-1 matrix update", "Same operation as xHER, but matrix A is a symmetric matrix instead.", []), - Routine(True, True, "2b", "spr", T, [S,D,H], ["n"], ["layout","triangle"], ["x"], ["ap"], ["alpha"], "", "Symmetric packed rank-1 matrix update", "Same operation as xSPR, but matrix A is a symmetric packed matrix instead and represented as AP.", []), - Routine(True, True, "2b", "syr2", T, [S,D,H], ["n"], ["layout","triangle"], ["x","y"], ["a"], ["alpha"], "", "Symmetric rank-2 matrix update", "Same operation as xHER2, but matrix A is a symmetric matrix instead.", []), - Routine(True, True, "2b", "spr2", T, [S,D,H], ["n"], ["layout","triangle"], ["x","y"], ["ap"], ["alpha"], "", "Symmetric packed rank-2 matrix update", "Same operation as xSPR2, but matrix A is a symmetric packed matrix instead and represented as AP.", []), + Routine(True, True, "2b", "ger", T, [S,D,H], ["m","n"], ["layout"], ["x","y"], ["a"], ["alpha"], "", "General rank-1 matrix update", "Performs the operation _A = alpha * x * y^T + A_, in which _x_ is an input vector, _y^T_ is the transpose of the input vector _y_, _A_ is the matrix to be updated, and _alpha_ is a scalar value.", [ald_m]), + Routine(True, True, "2b", "geru", T, [C,Z], ["m","n"], ["layout"], ["x","y"], ["a"], ["alpha"], "", "General rank-1 complex matrix update", "Same operation as xGER, but with complex data-types.", [ald_m]), + Routine(True, True, "2b", "gerc", T, [C,Z], ["m","n"], ["layout"], ["x","y"], ["a"], ["alpha"], "", "General rank-1 complex conjugated matrix update", "Same operation as xGERU, but the update is done based on the complex conjugate of the input vectors.", [ald_m]), + Routine(True, True, "2b", "her", Tc, [Css,Zdd], ["n"], ["layout","triangle"], ["x"], ["a"], ["alpha"], "", "Hermitian rank-1 matrix update", "Performs the operation _A = alpha * x * x^T + A_, in which x is an input vector, x^T is the transpose of this vector, _A_ is the triangular Hermetian matrix to be updated, and alpha is a scalar value.", [ald_n]), + Routine(True, True, "2b", "hpr", Tc, [Css,Zdd], ["n"], ["layout","triangle"], ["x"], ["ap"], ["alpha"], "", "Hermitian packed rank-1 matrix update", "Same operation as xHER, but matrix _A_ is an Hermitian packed matrix instead and represented as _AP_.", []), + Routine(True, True, "2b", "her2", T, [C,Z], ["n"], ["layout","triangle"], ["x","y"], ["a"], ["alpha"], "", "Hermitian rank-2 matrix update", "Performs the operation _A = alpha * x * y^T + conj(alpha) * y * x^T + A_, in which _x_ is an input vector and _x^T_ its transpose, _y_ is an input vector and _y^T_ its transpose, _A_ is the triangular Hermetian matrix to be updated, _alpha_ is a scalar value and _conj(alpha)_ its complex conjugate.", [ald_n]), + Routine(True, True, "2b", "hpr2", T, [C,Z], ["n"], ["layout","triangle"], ["x","y"], ["ap"], ["alpha"], "", "Hermitian packed rank-2 matrix update", "Same operation as xHER2, but matrix _A_ is an Hermitian packed matrix instead and represented as _AP_.", []), + Routine(True, True, "2b", "syr", T, [S,D,H], ["n"], ["layout","triangle"], ["x"], ["a"], ["alpha"], "", "Symmetric rank-1 matrix update", "Same operation as xHER, but matrix A is a symmetric matrix instead.", [ald_n]), + Routine(True, True, "2b", "spr", T, [S,D,H], ["n"], ["layout","triangle"], ["x"], ["ap"], ["alpha"], "", "Symmetric packed rank-1 matrix update", "Same operation as xSPR, but matrix _A_ is a symmetric packed matrix instead and represented as _AP_.", []), + Routine(True, True, "2b", "syr2", T, [S,D,H], ["n"], ["layout","triangle"], ["x","y"], ["a"], ["alpha"], "", "Symmetric rank-2 matrix update", "Same operation as xHER2, but matrix _A_ is a symmetric matrix instead.", [ald_n]), + Routine(True, True, "2b", "spr2", T, [S,D,H], ["n"], ["layout","triangle"], ["x","y"], ["ap"], ["alpha"], "", "Symmetric packed rank-2 matrix update", "Same operation as xSPR2, but matrix _A_ is a symmetric packed matrix instead and represented as _AP_.", []), ], [ # Level 3: matrix-matrix - Routine(True, True, "3", "gemm", T, [S,D,C,Z,H], ["m","n","k"], ["layout","a_transpose","b_transpose"], ["a","b"], ["c"], ["alpha","beta"], "", "General matrix-matrix multiplication", "", []), - Routine(True, True, "3", "symm", T, [S,D,C,Z,H], ["m","n"], ["layout","side","triangle"], ["a","b"], ["c"], ["alpha","beta"], "", "Symmetric matrix-matrix multiplication", "", []), - Routine(True, True, "3", "hemm", T, [C,Z], ["m","n"], ["layout","side","triangle"], ["a","b"], ["c"], ["alpha","beta"], "", "Hermitian matrix-matrix multiplication", "", []), - Routine(True, True, "3", "syrk", T, [S,D,C,Z,H], ["n","k"], ["layout","triangle","a_transpose"], ["a"], ["c"], ["alpha","beta"], "", "Rank-K update of a symmetric matrix", "", []), - Routine(True, True, "3", "herk", Tc, [Css,Zdd], ["n","k"], ["layout","triangle","a_transpose"], ["a"], ["c"], ["alpha","beta"], "", "Rank-K update of a hermitian matrix", "", []), - Routine(True, True, "3", "syr2k", T, [S,D,C,Z,H], ["n","k"], ["layout","triangle","ab_transpose"], ["a","b"], ["c"], ["alpha","beta"], "", "Rank-2K update of a symmetric matrix", "", []), - Routine(True, True, "3", "her2k", TU, [Ccs,Zzd], ["n","k"], ["layout","triangle","ab_transpose"], ["a","b"], ["c"], ["alpha","beta"], "", "Rank-2K update of a hermitian matrix", "", []), - Routine(True, True, "3", "trmm", T, [S,D,C,Z,H], ["m","n"], ["layout","side","triangle","a_transpose","diagonal"], ["a"], ["b"], ["alpha"], "", "Triangular matrix-matrix multiplication", "", []), + Routine(True, True, "3", "gemm", T, [S,D,C,Z,H], ["m","n","k"], ["layout","a_transpose","b_transpose"], ["a","b"], ["c"], ["alpha","beta"], "", "General matrix-matrix multiplication", "Performs the matrix product _C = alpha * A * B + beta * C_, in which _A_ (_m_ by _k_) and _B_ (_k_ by _n_) are two general rectangular input matrices, _C_ (_m_ by _n_) is the matrix to be updated, and _alpha_ and _beta_ are scalar values. The matrices _A_ and/or _B_ can optionally be transposed before performing the operation.", [ald_transa_m_k, bld_transb_k_n, cld_m]), + Routine(True, True, "3", "symm", T, [S,D,C,Z,H], ["m","n"], ["layout","side","triangle"], ["a","b"], ["c"], ["alpha","beta"], "", "Symmetric matrix-matrix multiplication", "Same operation as xGEMM, but _A_ is symmetric instead. In case of `side == kLeft`, _A_ is a symmetric _m_ by _m_ matrix and _C = alpha * A * B + beta * C_ is performed. Otherwise, in case of `side == kRight`, _A_ is a symmtric _n_ by _n_ matrix and _C = alpha * B * A + beta * C_ is performed.", [ald_side_m_n, bld_m, cld_m]), + Routine(True, True, "3", "hemm", T, [C,Z], ["m","n"], ["layout","side","triangle"], ["a","b"], ["c"], ["alpha","beta"], "", "Hermitian matrix-matrix multiplication", "Same operation as xSYMM, but _A_ is an Hermitian matrix instead.", [ald_side_m_n, bld_m, cld_m]), + Routine(True, True, "3", "syrk", T, [S,D,C,Z,H], ["n","k"], ["layout","triangle","a_transpose"], ["a"], ["c"], ["alpha","beta"], "", "Rank-K update of a symmetric matrix", "Performs the matrix product _C = alpha * A * A^T + beta * C_ or _C = alpha * A^T * A + beta * C_, in which _A_ is a general matrix and _A^T_ is its transpose, _C_ (_n_ by _n_) is the symmetric matrix to be updated, and _alpha_ and _beta_ are scalar values.", [ald_trans_n_k, cld_m]), + Routine(True, True, "3", "herk", Tc, [Css,Zdd], ["n","k"], ["layout","triangle","a_transpose"], ["a"], ["c"], ["alpha","beta"], "", "Rank-K update of a hermitian matrix", "Same operation as xSYRK, but _C_ is an Hermitian matrix instead.", [ald_trans_n_k, cld_m]), + Routine(True, True, "3", "syr2k", T, [S,D,C,Z,H], ["n","k"], ["layout","triangle","ab_transpose"], ["a","b"], ["c"], ["alpha","beta"], "", "Rank-2K update of a symmetric matrix", "Performs the matrix product _C = alpha * A * B^T + alpha * B * A^T + beta * C_ or _C = alpha * A^T * B + alpha * B^T * A + beta * C_, in which _A_ and _B_ are general matrices and _A^T_ and _B^T_ are their transposed versions, _C_ (_n_ by _n_) is the symmetric matrix to be updated, and _alpha_ and _beta_ are scalar values.", [ald_trans_n_k, bld_trans_n_k, cld_n]), + Routine(True, True, "3", "her2k", TU, [Ccs,Zzd], ["n","k"], ["layout","triangle","ab_transpose"], ["a","b"], ["c"], ["alpha","beta"], "", "Rank-2K update of a hermitian matrix", "Same operation as xSYR2K, but _C_ is an Hermitian matrix instead.", [ald_trans_n_k, bld_trans_n_k, cld_n]), + Routine(True, True, "3", "trmm", T, [S,D,C,Z,H], ["m","n"], ["layout","side","triangle","a_transpose","diagonal"], ["a"], ["b"], ["alpha"], "", "Triangular matrix-matrix multiplication", "Performs the matrix product _B = alpha * A * B_ or _B = alpha * B * A_, in which _A_ is a unit or non-unit triangular matrix, _B_ (_m_ by _n_) is the general matrix to be updated, and _alpha_ is a scalar value.", [ald_side_m_n, bld_m]), Routine(False, True, "3", "trsm", T, [S,D,C,Z,H], ["m","n"], ["layout","side","triangle","a_transpose","diagonal"], ["a"], ["b"], ["alpha"], "", "Solves a triangular system of equations", "", []), ]] @@ -512,7 +528,6 @@ with open(filename, "w") as f: f.write("* "+requirement+"\n") f.write("\n") - # Routine footer f.write("\n\n") diff --git a/scripts/generator/routine.py b/scripts/generator/routine.py index fe857ea8..00883776 100644 --- a/scripts/generator/routine.py +++ b/scripts/generator/routine.py @@ -58,9 +58,9 @@ def OptionToDoc(x): 'a_transpose': "Transposing the input matrix A, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose.", 'b_transpose': "Transposing the input matrix B, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose.", 'ab_transpose': "Transposing the packed input matrix AP, either `Transpose::kNo` (111), `Transpose::kYes` (112), or `Transpose::kConjugate` (113) for a complex-conjugate transpose.", - 'side': "The horizontal position of the triangular matrix, either `Side::kLeft` (141) or `Side::kRight` (142).", - 'triangle': "The vertical position of the triangular matrix, either `Triangle::kUpper` (121) or `Triangle::kLower` (122).", - 'diagonal': "The property of the diagonal matrix, either `Diagonal::kNonUnit` (131) for a non-unit values on the diagonal or `Diagonal::kUnit` (132) for a unit values on the diagonal.", + 'side': "The position of the triangular matrix in the operation, either on the `Side::kLeft` (141) or `Side::kRight` (142).", + 'triangle': "The part of the array of the triangular matrix to be used, either `Triangle::kUpper` (121) or `Triangle::kLower` (122).", + 'diagonal': "The property of the diagonal matrix, either `Diagonal::kNonUnit` (131) for non-unit values on the diagonal or `Diagonal::kUnit` (132) for unit values on the diagonal.", }[x] # ================================================================================================== @@ -265,7 +265,7 @@ class Routine(): incld_description = "Leading dimension " if (name in self.BuffersMatrix()) else "Stride/increment " a = ["`"+prefix+"cl_mem "+name+"_buffer`: OpenCL buffer to store the "+inout+" "+math_name+"."] b = ["`const size_t "+name+"_offset`: The offset in elements from the start of the "+inout+" "+math_name+"."] - c = ["`const size_t "+name+"_"+self.Postfix(name)+"`: "+incld_description+"of the "+inout+" "+math_name+"."] if (name not in self.BuffersWithoutLdInc()) else [] + c = ["`const size_t "+name+"_"+self.Postfix(name)+"`: "+incld_description+"of the "+inout+" "+math_name+". This value must be greater than 0."] if (name not in self.BuffersWithoutLdInc()) else [] return a+b+c return [] @@ -366,7 +366,7 @@ class Routine(): # Retrieves the documentation of the sizes def SizesDoc(self): if self.sizes: - definitions = ["`const size_t "+s+"`: Integer size argument." for s in self.sizes] + definitions = ["`const size_t "+s+"`: Integer size argument. This value must be positive." for s in self.sizes] return definitions return [] @@ -416,7 +416,7 @@ class Routine(): # Retrieves the documentation of the options def OptionsDoc(self): if self.options: - definitions = ["`const "+OptionToCLBlast(o)+"`: "+OptionToDoc(o) for o in self.options] + definitions = ["`const "+OptionToCLBlast(o)+" "+o+"`: "+OptionToDoc(o) for o in self.options] return definitions return [] @@ -547,7 +547,7 @@ class Routine(): # Retrieves a list of routine requirements for documentation def RequirementsDoc(self): - return [] + return self.requirements # ============================================================================================== |