def test_allreduce_grad():
from mpi4jax import Allreduce
arr = jnp.ones((3, 2))
_arr = arr.copy()
token = jax.lax.create_token(arr)
res, grad = jax.value_and_grad(
lambda x: Allreduce(x, op=MPI.SUM)[0].sum())(arr)
assert jnp.array_equal(res, arr.sum() * size)
assert jnp.array_equal(_arr, arr)
res, grad = jax.jit(
jax.value_and_grad(lambda x: Allreduce(x, op=MPI.SUM)[0].sum()))(arr)
assert jnp.array_equal(res, arr.sum() * size)
assert jnp.array_equal(_arr, arr)
def testfun(x):
y, token = Allreduce(x, op=MPI.SUM)
z = x + 2 * y
res, token2 = Allreduce(x, op=MPI.SUM, token=token)
return res.sum()
res, grad = jax.jit(jax.value_and_grad(testfun))(arr)
assert jnp.array_equal(res, arr.sum() * size)
assert jnp.array_equal(_arr, arr)
def test_allreduce():
arr = np.ones((3, 2))
_arr = arr.copy()
res = Allreduce(arr, op=MPI.SUM)
assert np.array_equal(res, arr * size)
assert np.array_equal(_arr, arr)
res = jax.jit(lambda x: Allreduce(x, op=MPI.SUM))(arr)
assert np.array_equal(res, arr * size)
assert np.array_equal(_arr, arr)
def test_allreduce_scalar_jit():
from mpi4jax import Allreduce
arr = 1
_arr = 1
res, token = jax.jit(lambda x: Allreduce(x, op=MPI.SUM))(arr)
assert jnp.array_equal(res, arr * size)
assert jnp.array_equal(_arr, arr)
def test_allreduce_scalar():
from mpi4jax import Allreduce
arr = 1
_arr = 1
res, token = Allreduce(arr, op=MPI.SUM)
assert jnp.array_equal(res, arr * size)
assert jnp.array_equal(_arr, arr)
def test_allreduce_jit():
from mpi4jax import Allreduce
arr = jnp.ones((3, 2))
_arr = arr.copy()
res, token = jax.jit(lambda x: Allreduce(x, op=MPI.SUM))(arr)
assert jnp.array_equal(res, arr * size)
assert jnp.array_equal(_arr, arr)
def test_allreduce():
from mpi4jax import Allreduce
arr = jnp.ones((3, 2))
_arr = arr.copy()
res, token = Allreduce(arr, op=MPI.SUM)
assert jnp.array_equal(res, arr * size)
assert jnp.array_equal(_arr, arr)
def test_set_debug_logging(capsys):
from mpi4jax import Allreduce
from mpi4jax.cython.mpi_xla_bridge import set_logging
arr = jnp.ones((3, 2))
set_logging(True)
res = jax.jit(lambda x: Allreduce(x, op=MPI.SUM)[0])(arr)
res.block_until_ready()
captured = capsys.readouterr()
assert captured.out.startswith(f"r{rank} | MPI_Allreduce with token")
set_logging(False)
res = jax.jit(lambda x: Allreduce(x, op=MPI.SUM)[0])(arr)
res.block_until_ready()
captured = capsys.readouterr()
assert not captured.out
def test_allreduce_jit_deprecated():
from mpi4jax import Allreduce
arr = jnp.ones((3, 2))
_arr = arr.copy()
with pytest.warns(UserWarning, match="deprecated"):
res = jax.jit(lambda x: Allreduce(x, op=MPI.SUM)[0])(arr)
assert jnp.array_equal(res, arr * size)
assert jnp.array_equal(_arr, arr)
def test_debug_logging_enabled(capsys, monkeypatch):
from mpi4jax import Allreduce
from mpi4jax.cython.mpi_xla_bridge import set_logging
arr = jnp.ones((3, 2))
try:
set_logging(True)
res = jax.jit(lambda x: Allreduce(x, op=MPI.SUM))(arr)
res[0].block_until_ready()
finally:
set_logging(False)
captured = capsys.readouterr()
assert captured.out.startswith(f"r{rank} | MPI_Allreduce with token")
def test_debug_logging_disabled(capsys, monkeypatch):
from mpi4jax import Allreduce
from mpi4jax.cython.mpi_xla_bridge import set_logging
arr = jnp.ones((3, 2))
set_logging(True)
set_logging(False)
res = jax.jit(lambda x: Allreduce(x, op=MPI.SUM))(arr)
res[0].block_until_ready()
captured = capsys.readouterr()
assert not captured.out
def testfun(x):
y, token = Allreduce(x, op=MPI.SUM)
z = x + 2 * y
res, token2 = Allreduce(x, op=MPI.SUM, token=token)
return res.sum()
