module NMatrix::BLAS
Public Class Methods
Calculate the sum of absolute values of the entries of a vector
x of size n
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Arguments :
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Returns :
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The sum
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Raises :
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ArgumentError-> Expected dense NMatrix for arg 0 -
RangeError-> n out of range
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# File lib/nmatrix/blas.rb, line 260 def asum(x, incx = 1, n = nil) n ||= x.size / incx raise(ArgumentError, "Expected dense NMatrix for arg 0") unless x.is_a?(NMatrix) raise(RangeError, "n out of range") if n*incx > x.size || n*incx <= 0 || n <= 0 ::NMatrix::BLAS.cblas_asum(n, x, incx) end
# File lib/nmatrix/blas.rb, line 301 def cblas_herk(order, uplo, trans, n, k, alpha, a, lda, beta, c, ldc) raise(NotImplementedError,"cblas_herk requires either the nmatrix-lapacke or nmatrix-atlas gem") end
# File lib/nmatrix/blas.rb, line 297 def cblas_syrk(order, uplo, trans, n, k, alpha, a, lda, beta, c, ldc) raise(NotImplementedError,"cblas_syrk requires either the nmatrix-lapacke or nmatrix-atlas gem") end
The following are functions that used to be implemented in C, but now require nmatrix-atlas or nmatrix-lapcke to run properly, so we can just implemented their stubs in Ruby.
# File lib/nmatrix/blas.rb, line 293 def cblas_trmm(order, side, uplo, trans_a, diag, m, n, alpha, a, lda, b, ldb) raise(NotImplementedError,"cblas_trmm requires either the nmatrix-lapacke or nmatrix-atlas gem") end
Updates the value of C via the matrix multiplication
C = (alpha * A * B) + (beta * C)
where alpha and beta are scalar values.
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Arguments :
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a-> Matrix A. -
b-> Matrix B. -
c-> Matrix C. -
alpha-> A scalar value that multiplies A * B. -
beta-> A scalar value that multiplies C. -
transpose_a-> -
transpose_b-> -
m-> -
n-> -
k-> -
lda-> -
ldb-> -
ldc->
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Returns :
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A NMatrix equal to (alpha * A * B) + (beta * C).
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Raises :
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ArgumentError->aandbmust be dense matrices. -
ArgumentError->cmust benilor a dense matrix. -
ArgumentError-> The dtype of the matrices must be equal.
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# File lib/nmatrix/blas.rb, line 71 def gemm(a, b, c = nil, alpha = 1.0, beta = 0.0, transpose_a = false, transpose_b = false, m = nil, n = nil, k = nil, lda = nil, ldb = nil, ldc = nil) raise(ArgumentError, 'Expected dense NMatrices as first two arguments.') unless a.is_a?(NMatrix) and b.is_a?(NMatrix) and a.stype == :dense and b.stype == :dense raise(ArgumentError, 'Expected nil or dense NMatrix as third argument.') unless c.nil? or (c.is_a?(NMatrix) and c.stype == :dense) raise(ArgumentError, 'NMatrix dtype mismatch.') unless a.dtype == b.dtype and (c ? a.dtype == c.dtype : true) # First, set m, n, and k, which depend on whether we're taking the # transpose of a and b. if c m ||= c.shape[0] n ||= c.shape[1] k ||= transpose_a ? a.shape[0] : a.shape[1] else if transpose_a # Either :transpose or :complex_conjugate. m ||= a.shape[1] k ||= a.shape[0] else # No transpose. m ||= a.shape[0] k ||= a.shape[1] end n ||= transpose_b ? b.shape[0] : b.shape[1] c = NMatrix.new([m, n], dtype: a.dtype) end # I think these are independent of whether or not a transpose occurs. lda ||= a.shape[1] ldb ||= b.shape[1] ldc ||= c.shape[1] # NM_COMPLEX64 and NM_COMPLEX128 both require complex alpha and beta. if a.dtype == :complex64 or a.dtype == :complex128 alpha = Complex(1.0, 0.0) if alpha == 1.0 beta = Complex(0.0, 0.0) if beta == 0.0 end # For argument descriptions, see: http://www.netlib.org/blas/dgemm.f ::NMatrix::BLAS.cblas_gemm(:row, transpose_a, transpose_b, m, n, k, alpha, a, lda, b, ldb, beta, c, ldc) return c end
Implements matrix-vector product via
y = (alpha * A * x) + (beta * y)
where alpha and beta are scalar values.
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Arguments :
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a-> Matrix A. -
x-> Vector x. -
y-> Vector y. -
alpha-> A scalar value that multiplies A * x. -
beta-> A scalar value that multiplies y. -
transpose_a-> -
m-> -
n-> -
lda-> -
incx-> -
incy->
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Returns : -
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Raises :
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++ ->
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# File lib/nmatrix/blas.rb, line 143 def gemv(a, x, y = nil, alpha = 1.0, beta = 0.0, transpose_a = false, m = nil, n = nil, lda = nil, incx = nil, incy = nil) raise(ArgumentError, 'Expected dense NMatrices as first two arguments.') unless a.is_a?(NMatrix) and x.is_a?(NMatrix) and a.stype == :dense and x.stype == :dense raise(ArgumentError, 'Expected nil or dense NMatrix as third argument.') unless y.nil? or (y.is_a?(NMatrix) and y.stype == :dense) raise(ArgumentError, 'NMatrix dtype mismatch.') unless a.dtype == x.dtype and (y ? a.dtype == y.dtype : true) m ||= transpose_a == :transpose ? a.shape[1] : a.shape[0] n ||= transpose_a == :transpose ? a.shape[0] : a.shape[1] raise(ArgumentError, "dimensions don't match") unless x.shape[0] == n && x.shape[1] == 1 if y raise(ArgumentError, "dimensions don't match") unless y.shape[0] == m && y.shape[1] == 1 else y = NMatrix.new([m,1], dtype: a.dtype) end lda ||= a.shape[1] incx ||= 1 incy ||= 1 ::NMatrix::BLAS.cblas_gemv(transpose_a, m, n, alpha, a, lda, x, incx, beta, y, incy) return y end
Calculate the 2-norm of a vector x of size n
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Arguments :
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Returns :
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The 2-norm
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Raises :
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ArgumentError-> Expected dense NMatrix for arg 0 -
RangeError-> n out of range
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# File lib/nmatrix/blas.rb, line 283 def nrm2(x, incx = 1, n = nil) n ||= x.size / incx raise(ArgumentError, "Expected dense NMatrix for arg 0") unless x.is_a?(NMatrix) raise(RangeError, "n out of range") if n*incx > x.size || n*incx <= 0 || n <= 0 ::NMatrix::BLAS.cblas_nrm2(n, x, incx) end
Apply plane rotation.
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Arguments :
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x-> NMatrix -
y-> NMatrix -
c-> cosine of the angle of rotation -
s-> sine of the angle of rotation -
incx-> stride of NMatrixx -
incy-> stride of NMatrixy -
n-> number of elements to consider in x and y -
in_place-> true if it's okay to modify the suppliedxandyparameters directly; false if not. Default is false.
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Returns :
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Array with the results, in the format [xx, yy]
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Raises :
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ArgumentError-> Expected dense NMatrices as first two arguments. -
ArgumentError-> NMatrix dtype mismatch. -
ArgumentError-> Need to supply n for non-standard incx, incy values.
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# File lib/nmatrix/blas.rb, line 189 def rot(x, y, c, s, incx = 1, incy = 1, n = nil, in_place=false) raise(ArgumentError, 'Expected dense NMatrices as first two arguments.') unless x.is_a?(NMatrix) and y.is_a?(NMatrix) and x.stype == :dense and y.stype == :dense raise(ArgumentError, 'NMatrix dtype mismatch.') unless x.dtype == y.dtype raise(ArgumentError, 'Need to supply n for non-standard incx, incy values') if n.nil? && incx != 1 && incx != -1 && incy != 1 && incy != -1 n ||= [x.size/incx.abs, y.size/incy.abs].min if in_place ::NMatrix::BLAS.cblas_rot(n, x, incx, y, incy, c, s) return [x,y] else xx = x.clone yy = y.clone ::NMatrix::BLAS.cblas_rot(n, xx, incx, yy, incy, c, s) return [xx,yy] end end
Apply plane rotation directly to x and y.
See rot for arguments.
# File lib/nmatrix/blas.rb, line 217 def rot!(x, y, c, s, incx = 1, incy = 1, n = nil) rot(x,y,c,s,incx,incy,n,true) end
Apply givens plane rotation to the coordinates (a,b), returning the cosine and sine of the angle theta.
Since the givens rotation includes a square root, integers are disallowed.
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Arguments :
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ab-> NMatrix with two elements
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Returns :
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Array with the results, in the format [cos(theta), sin(theta)]
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Raises :
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ArgumentError-> Expected dense NMatrix of size 2
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# File lib/nmatrix/blas.rb, line 237 def rotg(ab) raise(ArgumentError, "Expected dense NMatrix of shape [2,1] or [1,2]") unless ab.is_a?(NMatrix) && ab.stype == :dense && ab.size == 2 ::NMatrix::BLAS.cblas_rotg(ab) end