def test_gpu_cholesky_inplace_opt(self):
A = theano.tensor.fmatrix("A")
fn = theano.function([A], GpuMagmaCholesky()(A), mode=mode_with_gpu)
assert any([
node.op.inplace for node in fn.maker.fgraph.toposort()
if isinstance(node.op, GpuMagmaCholesky)
])
def run_gpu_cholesky(self, A_val, lower=True):
A = theano.tensor.fmatrix("A")
f = theano.function(
[A],
GpuMagmaCholesky(lower=lower)(A),
mode=mode_with_gpu.excluding("cusolver"),
)
return f(A_val)
def test_gpu_cholesky_inplace(self):
A = self.rand_symmetric(1000)
A_gpu = gpuarray_shared_constructor(A)
A_copy = A_gpu.get_value()
fn = theano.function([],
GpuMagmaCholesky(inplace=True)(A_gpu),
mode=mode_with_gpu,
accept_inplace=True)
fn()
L = A_gpu.get_value()
utt.assert_allclose(np.dot(L, L.T), A_copy, atol=1e-3)
def test_gpu_cholesky_inplace(self):
A = self.rand_symmetric(1000)
A_gpu = gpuarray_shared_constructor(A)
A_copy = A_gpu.get_value()
C = GpuMagmaCholesky()(A_gpu)
fn = theano.function([], C, mode=mode_with_gpu, updates=[(A_gpu, C)])
assert any([
node.op.inplace for node in fn.maker.fgraph.toposort()
if isinstance(node.op, GpuMagmaCholesky)
])
fn()
L = A_gpu.get_value()
utt.assert_allclose(np.dot(L, L.T), A_copy, atol=1e-3)