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212 lines
6.8 KiB
Python
212 lines
6.8 KiB
Python
# Copyright 2024 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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import contextlib
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from typing import Sequence
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from absl.testing import absltest
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import jax
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from jax._src import config
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from jax._src import test_util as jtu
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from jax._src.lib import xla_extension_version # pylint: disable=g-importing-member
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from jax.experimental import colocated_python
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from jax.experimental.colocated_python import func as colocated_python_func
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import jax.numpy as jnp
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import numpy as np
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config.parse_flags_with_absl()
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def _colocated_cpu_devices(
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devices: Sequence[jax.Device],
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) -> Sequence[jax.Device]:
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"""Returns CPU devices colocated with the given devices."""
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# TODO(hyeontaek): Use `colocated_python.colocated_cpu_devices(devices)` once
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# PjRt-IFRT prepares CPU devices by its own.
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cpu_backend_devices = jax.local_devices(backend="cpu")
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device_index_map = {device.id: i for i, device in enumerate(jax.devices())}
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available_devices = devices[:min(len(cpu_backend_devices), len(devices))]
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return [
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cpu_backend_devices[device_index_map[d.id]] for d in available_devices
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]
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@contextlib.contextmanager
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def _count_colocated_python_specialization_cache_miss() -> list[int]:
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"""Counts the number of cache misses for colocated_python specialization."""
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original_get_specialized_func = colocated_python_func._get_specialized_func
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count = [0]
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@jax.util.cache(max_size=None)
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def get_specialized_func(*args, **kwargs):
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count[0] += 1
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return original_get_specialized_func(*args, **kwargs)
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colocated_python_func._get_specialized_func = get_specialized_func
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try:
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yield count
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finally:
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colocated_python_func._get_specialized_func = original_get_specialized_func
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_exit_stack = contextlib.ExitStack()
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def setUpModule():
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# TODO(hyeontaek): Remove provisioning "cpu" backend devices once PjRt-IFRT
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# prepares CPU devices by its own.
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_exit_stack.enter_context(jtu.set_host_platform_device_count(8))
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def tearDownModule():
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_exit_stack.close()
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class ColocatedPythonTest(jtu.JaxTestCase):
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def setUp(self):
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super().setUp()
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if xla_extension_version < 290:
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self.skipTest("Requires xla_extension_version >= 290")
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def testSimpleFunction(self):
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@colocated_python.colocated_python
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def add_one(x):
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return x + 1
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cpu_devices = _colocated_cpu_devices(jax.local_devices())
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x = np.array(1)
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x = jax.device_put(x, cpu_devices[0])
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with _count_colocated_python_specialization_cache_miss() as count:
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out = add_one(x)
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self.assertEqual(out, np.array(2))
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self.assertEqual(count[0], 1)
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out = add_one(x)
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self.assertEqual(out, np.array(2))
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self.assertEqual(count[0], 1)
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def testSimpleFunctioWithTree(self):
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@colocated_python.colocated_python
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def add_one(x):
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return jax.tree.map(lambda x: x + 1, x)
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cpu_devices = _colocated_cpu_devices(jax.local_devices())
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x = [np.array(1), (np.array(2), {"v": np.array(3)})]
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x = jax.device_put(x, jax.sharding.SingleDeviceSharding(cpu_devices[0]))
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with _count_colocated_python_specialization_cache_miss() as count:
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out = add_one(x)
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self.assertEqual(out, [np.array(2), (np.array(3), {"v": np.array(4)})])
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self.assertEqual(count[0], 1)
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out = add_one(x)
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self.assertEqual(out, [np.array(2), (np.array(3), {"v": np.array(4)})])
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self.assertEqual(count[0], 1)
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def testEmptyInputFailsWithoutSpecialization(self):
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@colocated_python.colocated_python
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def make_zero():
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return jnp.array(0)
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with self.assertRaisesRegex(
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ValueError,
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"No devices found. colocated_python function without input arguments"
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" must be first specialized with devices.",
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):
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_ = make_zero()
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def testEmptyInputWithDevicesSpecialization(self):
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@colocated_python.colocated_python
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def make_zero():
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return jnp.array(0)
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cpu_devices = _colocated_cpu_devices(jax.local_devices())
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with _count_colocated_python_specialization_cache_miss() as count:
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make_zero = make_zero.specialize(devices=cpu_devices[:1])
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out = make_zero()
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self.assertEqual(out, np.array(0))
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self.assertEqual(count[0], 1)
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out = make_zero()
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self.assertEqual(out, np.array(0))
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self.assertEqual(count[0], 1)
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def testInputPolymorphismWithoutOutSpecsFn(self):
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@colocated_python.colocated_python
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def add_one(x):
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return jax.tree.map(lambda x: x + 1, x)
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cpu_devices = _colocated_cpu_devices(jax.local_devices())
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x = np.array(1)
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x = jax.device_put(x, cpu_devices[0])
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with _count_colocated_python_specialization_cache_miss() as count:
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out = add_one(x)
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self.assertEqual(out, np.array(2))
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self.assertEqual(count[0], 1)
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out = add_one(x)
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self.assertEqual(out, np.array(2))
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self.assertEqual(count[0], 1)
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# Different input tree structure and dtype/shape.
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x = [np.array(1), (np.array(2), {"v": np.array(3)})]
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x = jax.device_put(x, jax.sharding.SingleDeviceSharding(cpu_devices[0]))
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out = add_one(x)
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self.assertEqual(out, [np.array(2), (np.array(3), {"v": np.array(4)})])
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self.assertEqual(count[0], 2)
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out = add_one(x)
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self.assertEqual(out, [np.array(2), (np.array(3), {"v": np.array(4)})])
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self.assertEqual(count[0], 2)
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def testInputPolymorphismAllowedWithOutSpecsFn(self):
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@colocated_python.colocated_python
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def add_one(x):
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return jax.tree.map(lambda x: x + 1, x)
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cpu_devices = _colocated_cpu_devices(jax.local_devices())
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x = np.array(1)
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x = jax.device_put(x, cpu_devices[0])
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with _count_colocated_python_specialization_cache_miss() as count:
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add_one = add_one.specialize(out_specs_fn=lambda x: x)
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out = add_one(x)
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self.assertEqual(out, np.array(2))
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self.assertEqual(count[0], 1)
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out = add_one(x)
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self.assertEqual(out, np.array(2))
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self.assertEqual(count[0], 1)
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# Different input tree structure and dtype/shape.
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x = [np.array(1), (np.array(2), {"v": jnp.array(3)})]
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x = jax.device_put(x, jax.sharding.SingleDeviceSharding(cpu_devices[0]))
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out = add_one(x)
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self.assertEqual(out, [np.array(2), (np.array(3), {"v": np.array(4)})])
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self.assertEqual(count[0], 2)
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out = add_one(x)
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self.assertEqual(out, [np.array(2), (np.array(3), {"v": np.array(4)})])
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self.assertEqual(count[0], 2)
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if __name__ == "__main__":
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absltest.main(testLoader=jtu.JaxTestLoader())
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