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f090074d86
In some environments this appears to import the config module rather than the config object.
63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
# Copyright 2023 The JAX Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from functools import partial
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import math
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from absl.testing import absltest
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import jax
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from jax._src import test_util as jtu
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import jax.numpy as jnp
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from jax.sharding import NamedSharding
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from jax.sharding import PartitionSpec as P
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import numpy as np
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jax.config.parse_flags_with_absl()
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class MockGPUTest(jtu.JaxTestCase):
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def setUp(self):
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super().setUp()
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jax.config.update('use_mock_gpu_client', True)
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def tearDown(self):
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jax.config.update('use_mock_gpu_client', False)
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jax.config.update('mock_num_gpus', 1)
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super().tearDown()
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def testMockWithSharding(self):
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num_shards = 16
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jax.config.update('mock_num_gpus', num_shards)
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mesh = jtu.create_global_mesh((num_shards,), ('x',))
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@partial(
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jax.jit,
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in_shardings=NamedSharding(mesh, P('x',)),
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out_shardings=NamedSharding(mesh, P('x',)),
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)
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def f(x, y):
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z = x @ y
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return z @ y
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shape = (64, 64)
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x = jnp.arange(math.prod(shape)).reshape(shape).astype(np.float32)
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y = x + 1
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f_lowered = f.lower(x, y)
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hlo = f_lowered.compiler_ir()
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self.assertIn('sharding = "{devices=[16,1]<=[16]}"', str(hlo))
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if __name__ == '__main__':
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absltest.main(testLoader=jtu.JaxTestLoader())
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