Anastasiia Filippova
120 lines
3.6 KiB
Python
120 lines
3.6 KiB
Python
# Copyright © 2024 Apple Inc.
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import mlx.core as mx
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import mlx_distributed_tests
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import mlx_tests
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class TestNCCLDistributed(mlx_distributed_tests.MLXDistributedCommonTestCase):
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@classmethod
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def setUpClass(cls):
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_ = mx.distributed.init(strict=True, backend="nccl")
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cls.atol = 1e-4
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cls.rtol = 1e-4
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def test_sum_scatter(self):
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world = mx.distributed.init()
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dtypes = [
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(mx.float32, 1e-6),
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(mx.float16, 5e-3),
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(mx.bfloat16, 1e-1),
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]
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sizes = [
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(8,),
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(64,),
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(1024,),
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(1024, 1024),
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]
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key = mx.random.key(world.rank())
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for dt, rtol in dtypes:
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for sh in sizes:
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x = (mx.random.uniform(shape=sh, key=key) * 10).astype(dt) # shape=sh
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# Sum scatter
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y = mx.distributed.sum_scatter(x) # shape=sh/world.size()
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z = mx.distributed.all_sum(x) # shape=sh
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chunk = sh[0] // world.size()
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start = world.rank() * chunk
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stop = start + chunk
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z_ref = z[start:stop]
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maxrelerror = (y - z_ref).abs()
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if rtol > 0:
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maxrelerror /= z_ref.abs()
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maxrelerror = maxrelerror.max()
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self.assertLessEqual(maxrelerror, rtol)
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def test_groups(self):
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world = mx.distributed.init()
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self.assertEqual(world.size(), 8)
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self.assertTrue(0 <= world.rank() < 8)
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world2 = mx.distributed.init()
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self.assertEqual(world.size(), world2.size())
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self.assertEqual(world.rank(), world2.rank())
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sub = world.split(world.rank() % 2)
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self.assertEqual(sub.size(), 4)
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self.assertEqual(sub.rank(), world.rank() // 2)
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sub = world.split(world.rank() // 2)
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self.assertEqual(sub.size(), 2)
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def test_all_reduce_split(self):
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world = mx.distributed.init()
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dtypes = [
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(mx.float32, 1e-6),
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(mx.float16, 5e-3),
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(mx.bfloat16, 1e-1),
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]
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sizes = [
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(7,),
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(10,),
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(1024,),
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(1024, 1024),
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]
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key = mx.random.key(0)
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group = world.split(world.rank() % 2)
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for dt, rtol in dtypes:
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for sh in sizes:
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x = (
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mx.random.uniform(shape=(group.size(),) + sh, key=key) * 10
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).astype(dt)
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# All sum
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y = mx.distributed.all_sum(x[group.rank()], group=group)
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z = x.sum(0)
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maxrelerror = (y - z).abs()
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if rtol > 0:
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maxrelerror /= z.abs()
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maxrelerror = maxrelerror.max()
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self.assertLessEqual(maxrelerror, rtol)
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# All max
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y = mx.distributed.all_max(x[group.rank()], group=group)
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z = x.max(0)
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self.assertTrue(mx.all(y == z))
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# All min
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y = mx.distributed.all_min(x[group.rank()], group=group)
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z = x.min(0)
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self.assertTrue(mx.all(y == z))
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def test_all_gather_split(self):
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world = mx.distributed.init()
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dtypes = [mx.float32, mx.float16, mx.bfloat16]
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sub = world.split(world.rank() % 2)
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for dt in dtypes:
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x = mx.ones((2, 2, 4), dtype=dt)
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y = mx.distributed.all_gather(x, group=sub)
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self.assertEqual(y.shape, (sub.size() * 2, 2, 4))
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self.assertTrue(mx.all(y == 1))
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if __name__ == "__main__":
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mlx_tests.MLXTestRunner()
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