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bdd65453b4
This mainly follows https://github.com/google/jax/pull/4089 by adding: - support for disable_jit from C++ - support for jax._cpp_jit on methods. - supporting applying @jax.jit on top-level functions, by delaying the retrieval of the device and backend. - concurrency support. I am not aware of any feature missing (but I suspect there are still some differences due to the differences between xla_computation and _xla_callable.) See: - https://i.ibb.co/ZMvZ4nK/benchmark.png for the benchmarking comparison (see cr/328899906 + benchmarks for how numbers were generated) - The results of the Jax tests when enabling this: http://sponge2/4a67d132-209f-45c5-ab7b-83716d329ec2 (110 fails, 92 passes, but many common cause of failure).
98 lines
3.0 KiB
Python
98 lines
3.0 KiB
Python
# Copyright 2020 Google LLC
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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 inspect
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from absl.testing import absltest
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from absl.testing import parameterized
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import jax
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from jax import lib as jaxlib
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from jax import numpy as jnp
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from jax import test_util as jtu
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from jax.config import flags
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from jax.lib import version
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from jax.lib import xla_bridge
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import numpy as np
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FLAGS = flags.FLAGS
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class JaxJitTest(parameterized.TestCase):
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def test_convert_scalars(self):
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# TODO(jblespiau): Remove when the version is out.
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if jaxlib.version < (0, 1, 53):
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return
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jax_jit = jaxlib.jax_jit
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jax_enable_x64 = FLAGS.jax_enable_x64
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if jax_enable_x64:
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int_type = np.int64
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float_type = np.float64
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complex_type = np.complex128
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else:
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int_type = np.int32
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float_type = np.float32
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complex_type = np.complex64
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# int
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res = jax_jit._ScalarToBuffer(1, jax_enable_x64,
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xla_bridge.get_backend()).to_py()
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self.assertEqual(res, 1)
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self.assertEqual(res.dtype, int_type)
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# We also compare to the Python Jax API, to make sure we have the exact
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# same behavior. When Jax removes the flag and removes this feature, this
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# test will fail.
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self.assertEqual(jnp.asarray(1).dtype, res.dtype)
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# float
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res = jax_jit._ScalarToBuffer(1.0, jax_enable_x64,
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xla_bridge.get_backend()).to_py()
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self.assertEqual(res, 1.0)
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self.assertEqual(res.dtype, float_type)
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self.assertEqual(jnp.asarray(1.0).dtype, res.dtype)
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# bool
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for bool_value in [True, False]:
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res = jax_jit._ScalarToBuffer(bool_value, jax_enable_x64,
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xla_bridge.get_backend()).to_py()
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self.assertEqual(res, np.asarray(bool_value))
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self.assertEqual(res.dtype, np.bool)
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self.assertEqual(jnp.asarray(bool_value).dtype, res.dtype)
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# Complex
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res = jax_jit._ScalarToBuffer(1 + 1j, jax_enable_x64,
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xla_bridge.get_backend()).to_py()
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self.assertEqual(res, 1 + 1j)
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self.assertEqual(res.dtype, complex_type)
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self.assertEqual(jnp.asarray(1 + 1j).dtype, res.dtype)
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def test_signature_support(self):
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if version < (0, 1, 54):
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return
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def f(a, b, c):
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return a + b + c
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jitted_f = jax.api._cpp_jit(f)
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self.assertEqual(inspect.signature(f), inspect.signature(jitted_f))
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if __name__ == '__main__':
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jax.config.config_with_absl()
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absltest.main(testLoader=jtu.JaxTestLoader())
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