Nothing
library(gpuR)
context("CPU vclMatrix algebra")
# set option to use CPU instead of GPU
options(gpuR.default.device.type = "cpu")
# set seed
set.seed(123)
ORDER <- 4
# Base R objects
Aint <- matrix(sample(seq(10), ORDER^2, replace=TRUE), nrow=ORDER, ncol=ORDER)
Bint <- matrix(sample(seq(10), ORDER^2, replace=TRUE), nrow=ORDER, ncol=ORDER)
A <- matrix(rnorm(ORDER^2), nrow=ORDER, ncol=ORDER)
B <- matrix(rnorm(ORDER^2), nrow=ORDER, ncol=ORDER)
E <- matrix(rnorm(15), nrow=5)
test_that("vclMatrix Single Precision Matrix multiplication successful", {
has_cpu_skip()
C <- A %*% B
fvclA <- vclMatrix(A, type="float")
fvclB <- vclMatrix(B, type="float")
fvclC <- fvclA %*% fvclB
expect_is(fvclC, "fvclMatrix")
expect_equal(fvclC[,], C, tolerance=1e-07,
info="float matrix elements not equivalent")
})
test_that("vclMatrix Double Precision Matrix multiplication successful", {
has_cpu_skip()
C <- A %*% B
dvclA <- vclMatrix(A, type="double")
dvclB <- vclMatrix(B, type="double")
dvclC <- dvclA %*% dvclB
expect_is(dvclC, "dvclMatrix")
expect_equal(dvclC[,], C, tolerance=.Machine$double.eps ^ 0.5,
info="double matrix elements not equivalent")
})
test_that("vclMatrix Single Precision Matrix Subtraction successful", {
has_cpu_skip()
C <- A - B
fvclA <- vclMatrix(A, type="float")
fvclB <- vclMatrix(B, type="float")
fvclC <- fvclA - fvclB
expect_is(fvclC, "fvclMatrix")
expect_equal(fvclC[,], C, tolerance=1e-07,
info="float matrix elements not equivalent")
})
test_that("vclMatrix Single Precision Matrix Addition successful", {
has_cpu_skip()
C <- A + B
fvclA <- vclMatrix(A, type="float")
fvclB <- vclMatrix(B, type="float")
fvclC <- fvclA + fvclB
expect_is(fvclC, "fvclMatrix")
expect_equal(fvclC[,], C, tolerance=1e-07,
info="float matrix elements not equivalent")
})
test_that("vclMatrix Double Precision Matrix Subtraction successful", {
has_cpu_skip()
C <- A - B
dvclA <- vclMatrix(A, type="double")
dvclB <- vclMatrix(B, type="double")
dvclC <- dvclA - dvclB
expect_is(dvclC, "dvclMatrix")
expect_equal(dvclC[,], C, tolerance=.Machine$double.eps ^ 0.5,
info="double matrix elements not equivalent")
})
test_that("vclMatrix Double Precision Matrix Addition successful", {
has_cpu_skip()
C <- A + B
dvclA <- vclMatrix(A, type="double")
dvclB <- vclMatrix(B, type="double")
dvclC <- dvclA + dvclB
expect_is(dvclC, "dvclMatrix")
expect_equal(dvclC[,], C, tolerance=.Machine$double.eps ^ 0.5,
info="double matrix elements not equivalent")
})
test_that("vclMatrix Single Precision crossprod successful", {
has_cpu_skip()
X <- matrix(rnorm(10), nrow=2)
Y <- matrix(rnorm(10), nrow=2)
Z <- matrix(rnorm(10), nrow=5)
C <- crossprod(X,Y)
Cs <- crossprod(X)
fvclX <- vclMatrix(X, type="float")
fvclY <- vclMatrix(Y, type="float")
fvclZ <- vclMatrix(Z, type="float")
fvclC <- crossprod(fvclX, fvclY)
fvclCs <- crossprod(fvclX)
expect_is(fvclC, "fvclMatrix")
expect_equal(fvclC[,], C, tolerance=1e-07,
info="float matrix elements not equivalent")
expect_equal(fvclCs[,], Cs, tolerance=1e-07,
info="float matrix elements not equivalent")
expect_error(crossprod(fvclX, fvclZ))
})
test_that("vclMatrix Double Precision crossprod successful", {
has_cpu_skip()
X <- matrix(rnorm(10), nrow=2)
Y <- matrix(rnorm(10), nrow=2)
Z <- matrix(rnorm(10), nrow=5)
C <- crossprod(X,Y)
Cs <- crossprod(X)
fvclX <- vclMatrix(X, type="double")
fvclY <- vclMatrix(Y, type="double")
fvclZ <- vclMatrix(Z, type="double")
fvclC <- crossprod(fvclX, fvclY)
fvclCs <- crossprod(fvclX)
expect_is(fvclC, "dvclMatrix")
expect_equal(fvclC[,], C, tolerance=.Machine$double.eps ^ 0.5,
info="double matrix elements not equivalent")
expect_equal(fvclCs[,], Cs, tolerance=.Machine$double.eps ^ 0.5,
info="double matrix elements not equivalent")
expect_error(crossprod(fvclX, fvclZ))
})
test_that("vclMatrix Single Precision tcrossprod successful", {
has_cpu_skip()
X <- matrix(rnorm(10), nrow=5)
Y <- matrix(rnorm(10), nrow=5)
Z <- matrix(rnorm(10), nrow=2)
C <- tcrossprod(X,Y)
Cs <- tcrossprod(X)
fvclX <- vclMatrix(X, type="float")
fvclY <- vclMatrix(Y, type="float")
fvclZ <- vclMatrix(Z, type="float")
fvclC <- tcrossprod(fvclX, fvclY)
fvclCs <- tcrossprod(fvclX)
expect_is(fvclC, "fvclMatrix")
expect_equal(fvclC[,], C, tolerance=1e-07,
info="float matrix elements not equivalent")
expect_equal(fvclCs[,], Cs, tolerance=1e-07,
info="float matrix elements not equivalent")
expect_error(crossprod(fvclX, fvclZ))
})
test_that("vclMatrix Double Precision tcrossprod successful", {
has_cpu_skip()
X <- matrix(rnorm(10), nrow=2)
Y <- matrix(rnorm(10), nrow=2)
Z <- matrix(rnorm(10), nrow=5)
C <- tcrossprod(X,Y)
Cs <- tcrossprod(X)
fvclX <- vclMatrix(X, type="double")
fvclY <- vclMatrix(Y, type="double")
fvclZ <- vclMatrix(Z, type="double")
fvclC <- tcrossprod(fvclX, fvclY)
fvclCs <- tcrossprod(fvclX)
expect_is(fvclC, "dvclMatrix")
expect_equal(fvclC[,], C, tolerance=.Machine$double.eps ^ 0.5,
info="double matrix elements not equivalent")
expect_equal(fvclCs[,], Cs, tolerance=.Machine$double.eps ^ 0.5,
info="double matrix elements not equivalent")
expect_error(crossprod(fvclX, fvclZ))
})
test_that("vclMatrix Single Precision Matrix Element-Wise Multiplication", {
has_cpu_skip()
C <- A * B
fvclA <- vclMatrix(A, type="float")
fvclB <- vclMatrix(B, type="float")
fvclE <- vclMatrix(E, type="float")
fvclC <- fvclA * fvclB
expect_is(fvclC, "fvclMatrix")
expect_equal(fvclC[,], C, tolerance=1e-07,
info="float matrix elements not equivalent")
expect_error(fvclA * fvclE)
})
test_that("vclMatrix Single Precision Matrix Element-Wise Division", {
has_cpu_skip()
C <- A / B
fvclA <- vclMatrix(A, type="float")
fvclB <- vclMatrix(B, type="float")
fvclE <- vclMatrix(E, type="float")
fvclC <- fvclA / fvclB
expect_is(fvclC, "fvclMatrix")
expect_equal(fvclC[,], C, tolerance=1e-07,
info="float matrix elements not equivalent")
expect_error(fvclA * fvclE)
})
test_that("vclMatrix Double Precision Matrix Element-Wise Multiplication", {
has_cpu_skip()
C <- A * B
dvclA <- vclMatrix(A, type="double")
dvclB <- vclMatrix(B, type="double")
dvclE <- vclMatrix(E, type="double")
dvclC <- dvclA * dvclB
expect_is(dvclC, "dvclMatrix")
expect_equal(dvclC[,], C, tolerance=.Machine$double.eps ^ 0.5,
info="double matrix elements not equivalent")
expect_error(dvclA * dvclE)
})
test_that("vclMatrix Double Precision Matrix Element-Wise Division", {
has_cpu_skip()
C <- A / B
dvclA <- vclMatrix(A, type="double")
dvclB <- vclMatrix(B, type="double")
dvclE <- vclMatrix(E, type="double")
dvclC <- dvclA / dvclB
expect_is(dvclC, "dvclMatrix")
expect_equal(dvclC[,], C, tolerance=.Machine$double.eps ^ 0.5,
info="double matrix elements not equivalent")
expect_error(dvclA * dvclE)
})
# test_that("vclMatrix Integer Matrix multiplication successful", {
#
# has_gpu_skip()
#
# Cint <- Aint %*% Bint
#
# igpuA <- vclMatrix(Aint, type="integer")
# igpuB <- vclMatrix(Bint, type="integer")
#
# igpuC <- igpuA %*% igpuB
#
# expect_equivalent(igpuC[,], Cint,
# info="float matrix elements not equivalent")
# })
#
# test_that("vclMatrix Integer Matrix Subtraction successful", {
#
# has_gpu_skip()
#
# Cint <- Aint - Bint
#
# igpuA <- vclMatrix(Aint, type="integer")
# igpuB <- vclMatrix(Bint, type="integer")
#
# igpuC <- igpuA - igpuB
#
# expect_is(igpuC, "ivclMatrix")
# expect_equal(igpuC[,], Cint,
# info="integer matrix elements not equivalent")
# })
#
# test_that("vclMatrix Integer Matrix Addition successful", {
#
# has_gpu_skip()
#
# Cint <- Aint + Bint
#
# igpuA <- vclMatrix(Aint, type="integer")
# igpuB <- vclMatrix(Bint, type="integer")
#
# igpuC <- igpuA + igpuB
#
# expect_is(igpuC, "ivclMatrix")
# expect_equal(igpuC[,], Cint,
# info="integer matrix elements not equivalent")
# })
options(gpuR.default.device.type = "gpu")
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