def test_reduce(self):
cpu, gpu = gen_gpuarray((3, 4, 5), order='c', incr=self.rank, ctx=self.ctx)
rescpu = np.empty_like(cpu)
resgpu = gpu._empty_like_me()
if self.rank != 0:
self.gpucomm.reduce(gpu, 'sum', resgpu, root=0)
self.mpicomm.Reduce([cpu, MPI.FLOAT], None, op=MPI.SUM, root=0)
else:
self.gpucomm.reduce(gpu, 'sum', resgpu)
self.mpicomm.Reduce([cpu, MPI.FLOAT], [rescpu, MPI.FLOAT], op=MPI.SUM, root=0)
if self.rank == 0:
assert np.allclose(resgpu, rescpu)
resgpu = self.gpucomm.reduce(gpu, 'sum', root=0)
if self.rank == 0:
assert resgpu.shape == gpu.shape, (resgpu.shape, gpu.shape)
assert resgpu.dtype == gpu.dtype, (resgpu.dtype, gpu.dtype)
assert resgpu.flags['C'] == gpu.flags['C']
assert resgpu.flags['F'] == gpu.flags['F']
assert np.allclose(resgpu, rescpu)
else:
assert resgpu is None
if self.rank == 0:
resgpu = self.gpucomm.reduce(gpu, 'sum')
assert resgpu.shape == gpu.shape, (resgpu.shape, gpu.shape)
assert resgpu.dtype == gpu.dtype, (resgpu.dtype, gpu.dtype)
assert resgpu.flags['C'] == gpu.flags['C']
assert resgpu.flags['F'] == gpu.flags['F']
assert np.allclose(resgpu, rescpu)
else:
resgpu = self.gpucomm.reduce(gpu, 'sum', root=0)
assert resgpu is None
def test_broadcast(self):
if self.rank == 0:
cpu, gpu = gen_gpuarray((3, 4, 5), order='c', incr=self.rank, ctx=self.ctx)
else:
cpu = np.zeros((3, 4, 5), dtype='float32')
gpu = gpuarray.asarray(cpu, context=self.ctx)
if self.rank == 0:
self.gpucomm.broadcast(gpu)
else:
self.gpucomm.broadcast(gpu, root=0)
self.mpicomm.Bcast(cpu, root=0)
assert np.allclose(gpu, cpu)
def test_all_reduce(self):
cpu, gpu = gen_gpuarray((3, 4, 5), order='c', incr=self.rank, ctx=self.ctx)
rescpu = np.empty_like(cpu)
resgpu = gpu._empty_like_me()
self.gpucomm.all_reduce(gpu, 'sum', resgpu)
self.mpicomm.Allreduce([cpu, MPI.FLOAT], [rescpu, MPI.FLOAT], op=MPI.SUM)
assert np.allclose(resgpu, rescpu)
resgpu = self.gpucomm.all_reduce(gpu, 'sum')
assert resgpu.shape == gpu.shape, (resgpu.shape, gpu.shape)
assert resgpu.dtype == gpu.dtype, (resgpu.dtype, gpu.dtype)
assert resgpu.flags['C'] == gpu.flags['C']
assert resgpu.flags['F'] == gpu.flags['F']
assert np.allclose(resgpu, rescpu)
def test_broadcast(self):
if self.rank == 0:
cpu, gpu = gen_gpuarray((3, 4, 5),
order='c',
incr=self.rank,
ctx=self.ctx)
else:
cpu = np.zeros((3, 4, 5), dtype='float32')
gpu = gpuarray.asarray(cpu, context=self.ctx)
if self.rank == 0:
self.gpucomm.broadcast(gpu)
else:
self.gpucomm.broadcast(gpu, root=0)
self.mpicomm.Bcast(cpu, root=0)
assert np.allclose(gpu, cpu)
def test_all_reduce(self):
cpu, gpu = gen_gpuarray((3, 4, 5),
order='c',
incr=self.rank,
ctx=self.ctx)
rescpu = np.empty_like(cpu)
resgpu = gpu._empty_like_me()
self.gpucomm.all_reduce(gpu, 'sum', resgpu)
self.mpicomm.Allreduce([cpu, MPI.FLOAT], [rescpu, MPI.FLOAT],
op=MPI.SUM)
assert np.allclose(resgpu, rescpu)
resgpu = self.gpucomm.all_reduce(gpu, 'sum')
assert resgpu.shape == gpu.shape, (resgpu.shape, gpu.shape)
assert resgpu.dtype == gpu.dtype, (resgpu.dtype, gpu.dtype)
assert resgpu.flags['C'] == gpu.flags['C']
assert resgpu.flags['F'] == gpu.flags['F']
assert np.allclose(resgpu, rescpu)
def test_reduce(self):
cpu, gpu = gen_gpuarray((3, 4, 5),
order='c',
incr=self.rank,
ctx=self.ctx)
rescpu = np.empty_like(cpu)
resgpu = gpu._empty_like_me()
if self.rank != 0:
self.gpucomm.reduce(gpu, 'sum', resgpu, root=0)
self.mpicomm.Reduce([cpu, MPI.FLOAT], None, op=MPI.SUM, root=0)
else:
self.gpucomm.reduce(gpu, 'sum', resgpu)
self.mpicomm.Reduce([cpu, MPI.FLOAT], [rescpu, MPI.FLOAT],
op=MPI.SUM,
root=0)
if self.rank == 0:
assert np.allclose(resgpu, rescpu)
resgpu = self.gpucomm.reduce(gpu, 'sum', root=0)
if self.rank == 0:
assert resgpu.shape == gpu.shape, (resgpu.shape, gpu.shape)
assert resgpu.dtype == gpu.dtype, (resgpu.dtype, gpu.dtype)
assert resgpu.flags['C'] == gpu.flags['C']
assert resgpu.flags['F'] == gpu.flags['F']
assert np.allclose(resgpu, rescpu)
else:
assert resgpu is None
if self.rank == 0:
resgpu = self.gpucomm.reduce(gpu, 'sum')
assert resgpu.shape == gpu.shape, (resgpu.shape, gpu.shape)
assert resgpu.dtype == gpu.dtype, (resgpu.dtype, gpu.dtype)
assert resgpu.flags['C'] == gpu.flags['C']
assert resgpu.flags['F'] == gpu.flags['F']
assert np.allclose(resgpu, rescpu)
else:
resgpu = self.gpucomm.reduce(gpu, 'sum', root=0)
assert resgpu is None
