TRMV - Triangular matrix vector multiply

pyclblas.clblasCtrmv(order, uplo, trans, diag, N, A, offa, lda, X, offx, incx, scratchBuff, commandQueues, eventWaitList)

wraps: clblasCtrmv

Matrix-vector product with a triangular matrix and float complex elements. Matrix-vector products:

  • ( X ← A X )
  • ( X ← ATX )
Parameters:
  • order (clblasOrder [in]) – Row/column order.
  • uplo (clblasUplo [in]) – The triangle in matrix being referenced.
  • trans (clblasTranspose [in]) – How matrix A is to be transposed.
  • diag (clblasDiag [in]) – Specify whether matrix A is unit triangular.
  • N (int [in]) – Number of rows/columns in matrix A.
  • A (pyopencl.Buffer [in]) – Buffer object storing matrix A.
  • offa (int [in]) – Offset in number of elements for first element in matrix A.
  • lda (int [in]) – Leading dimension of matrix A. It cannot be less than N.
  • X (pyopencl.Buffer [out]) – Buffer object storing vector X.
  • offx (int [in]) – Offset in number of elements for first element in vector X.
  • incx (int [in]) – Increment for the elements of X. Must not be zero.
  • scratchBuff (pyopencl.Buffer [in]) – Temporary cl_mem scratch buffer object which can hold a minimum of (1 + (N-1)*abs(incx)) elements.
  • commandQueues (pyopencl.CommandQueue [in]) – OpenCL command queues. A list, tuple, or single instance of pyopencl.CommandQueue. Must not be None.
  • eventWaitList (pyopencl.Event [in]) – Event wait list. A list, tuple, or single instance of pyopencl.Event. May be None.
Returns:

A tuple of pyopencl.Event instances, one for each commandQueue supplied.

pyclblas.clblasDtrmv(order, uplo, trans, diag, N, A, offa, lda, X, offx, incx, scratchBuff, commandQueues, eventWaitList)

wraps: clblasDtrmv

Matrix-vector product with a triangular matrix and double elements. Matrix-vector products:

  • ( X ← A X )
  • ( X ← ATX )
Parameters:
  • order (clblasOrder [in]) – Row/column order.
  • uplo (clblasUplo [in]) – The triangle in matrix being referenced.
  • trans (clblasTranspose [in]) – How matrix A is to be transposed.
  • diag (clblasDiag [in]) – Specify whether matrix A is unit triangular.
  • N (int [in]) – Number of rows/columns in matrix A.
  • A (pyopencl.Buffer [in]) – Buffer object storing matrix A.
  • offa (int [in]) – Offset in number of elements for first element in matrix A.
  • lda (int [in]) – Leading dimension of matrix A. It cannot be less than N.
  • X (pyopencl.Buffer [out]) – Buffer object storing vector X.
  • offx (int [in]) – Offset in number of elements for first element in vector X.
  • incx (int [in]) – Increment for the elements of X. Must not be zero.
  • scratchBuff (pyopencl.Buffer [in]) – Temporary cl_mem scratch buffer object which can hold a minimum of (1 + (N-1)*abs(incx)) elements.
  • commandQueues (pyopencl.CommandQueue [in]) – OpenCL command queues. A list, tuple, or single instance of pyopencl.CommandQueue. Must not be None.
  • eventWaitList (pyopencl.Event [in]) – Event wait list. A list, tuple, or single instance of pyopencl.Event. May be None.
Returns:

A tuple of pyopencl.Event instances, one for each commandQueue supplied.

pyclblas.clblasStrmv(order, uplo, trans, diag, N, A, offa, lda, X, offx, incx, scratchBuff, commandQueues, eventWaitList)

wraps: clblasStrmv

Matrix-vector product with a triangular matrix and float elements. Matrix-vector products:

  • ( X ← A X )
  • ( X ← ATX )
Parameters:
  • order (clblasOrder [in]) – Row/column order.
  • uplo (clblasUplo [in]) – The triangle in matrix being referenced.
  • trans (clblasTranspose [in]) – How matrix A is to be transposed.
  • diag (clblasDiag [in]) – Specify whether matrix A is unit triangular.
  • N (int [in]) – Number of rows/columns in matrix A.
  • A (pyopencl.Buffer [in]) – Buffer object storing matrix A.
  • offa (int [in]) – Offset in number of elements for first element in matrix A.
  • lda (int [in]) – Leading dimension of matrix A. It cannot be less than N.
  • X (pyopencl.Buffer [out]) – Buffer object storing vector X.
  • offx (int [in]) – Offset in number of elements for first element in vector X.
  • incx (int [in]) – Increment for the elements of X. Must not be zero.
  • scratchBuff (pyopencl.Buffer [in]) – Temporary cl_mem scratch buffer object which can hold a minimum of (1 + (N-1)*abs(incx)) elements.
  • commandQueues (pyopencl.CommandQueue [in]) – OpenCL command queues. A list, tuple, or single instance of pyopencl.CommandQueue. Must not be None.
  • eventWaitList (pyopencl.Event [in]) – Event wait list. A list, tuple, or single instance of pyopencl.Event. May be None.
Returns:

A tuple of pyopencl.Event instances, one for each commandQueue supplied.

pyclblas.clblasZtrmv(order, uplo, trans, diag, N, A, offa, lda, X, offx, incx, scratchBuff, commandQueues, eventWaitList)

wraps: clblasZtrmv

Matrix-vector product with a triangular matrix and double complex elements. Matrix-vector products:

  • ( X ← A X )
  • ( X ← ATX )
Parameters:
  • order (clblasOrder [in]) – Row/column order.
  • uplo (clblasUplo [in]) – The triangle in matrix being referenced.
  • trans (clblasTranspose [in]) – How matrix A is to be transposed.
  • diag (clblasDiag [in]) – Specify whether matrix A is unit triangular.
  • N (int [in]) – Number of rows/columns in matrix A.
  • A (pyopencl.Buffer [in]) – Buffer object storing matrix A.
  • offa (int [in]) – Offset in number of elements for first element in matrix A.
  • lda (int [in]) – Leading dimension of matrix A. It cannot be less than N.
  • X (pyopencl.Buffer [out]) – Buffer object storing vector X.
  • offx (int [in]) – Offset in number of elements for first element in vector X.
  • incx (int [in]) – Increment for the elements of X. Must not be zero.
  • scratchBuff (pyopencl.Buffer [in]) – Temporary cl_mem scratch buffer object which can hold a minimum of (1 + (N-1)*abs(incx)) elements.
  • commandQueues (pyopencl.CommandQueue [in]) – OpenCL command queues. A list, tuple, or single instance of pyopencl.CommandQueue. Must not be None.
  • eventWaitList (pyopencl.Event [in]) – Event wait list. A list, tuple, or single instance of pyopencl.Event. May be None.
Returns:

A tuple of pyopencl.Event instances, one for each commandQueue supplied.