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4236eb2b59
This change, when enabled, stages out all primitive calls in the dynamic scope of a jitted, pmapped, or control flow function, rather than only staging out based on data dependence. One improvement is that jitted functions can consume less memory, by avoiding instantiating large constants at trace time, and cause less memory fragmentation as well. It also simplifies several internals. See https://github.com/google/jax/pull/3370 fo more information.
93 lines
3.3 KiB
Python
93 lines
3.3 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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from unittest import SkipTest
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from absl.testing import absltest
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from jax import test_util as jtu
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import jax
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from jax import numpy as jnp
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from jax.config import config
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config.parse_flags_with_absl()
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class MetadataTest(jtu.JaxTestCase):
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def test_jit_metadata(self):
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hlo = jax.xla_computation(jnp.sin)(1.).get_hlo_module().to_string()
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self.assertRegex(hlo, 'op_type="sin"')
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self.assertRegex(hlo, 'op_name="xla_computation\\(sin\\)/sin"')
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def foo(x):
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return jnp.sin(x)
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hlo = jax.xla_computation(foo)(1.).get_hlo_module().to_string()
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self.assertRegex(hlo, 'op_type="sin"')
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self.assertRegex(hlo, 'op_name="xla_computation\\(foo\\)/sin"')
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def test_nested_jit_metadata(self):
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raise SkipTest # TODO(jekbradbury)
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@jax.jit
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def foo(x):
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return jnp.sin(x)
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def bar(x):
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return jnp.cos(foo(x))
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_ = bar(1.)
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assert self.op_types[-2] == 'sin'
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assert self.op_names[-2] == 'jit(foo)/sin'
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assert self.op_types[-1] == 'cos'
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assert self.op_names[-1] == 'cos'
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_ = jax.jit(bar)(1.)
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assert self.op_types[-3] == 'xla_call'
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assert self.op_names[-3] == 'jit(bar)/xla_call[ backend=None\n' \
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' device=None\n' \
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' name=foo ]'
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assert self.op_types[-2] == 'sin'
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assert self.op_names[-2] == 'jit(bar)/jit(foo)/sin'
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assert self.op_types[-1] == 'cos'
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assert self.op_names[-1] == 'jit(bar)/cos'
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def test_grad_jit_metadata(self):
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@jax.jit
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def foo(x):
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return jnp.sin(x)
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hlo = jax.xla_computation(jax.grad(foo))(1.).get_hlo_module().to_string()
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self.assertRegex(hlo, 'op_type="sin"')
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self.assertRegex(hlo, 'op_type="cos"')
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self.assertRegex(hlo, 'op_type="mul"')
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# TODO(mattjj,jekbradbury): update these tests post-omnistaging
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if not config.omnistaging_enabled:
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self.assertRegex(hlo, 'op_name=".*jit\\(jvp\\(foo\\)\\)/sin"')
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self.assertRegex(hlo, 'op_name=".*jit\\(jvp\\(foo\\)\\)/cos"')
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self.assertRegex(hlo, 'op_name=".*jit\\(transpose\\('
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'jvp\\(foo\\)\\)\\)/mul"')
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def test_cond_metadata(self):
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def true_fun(x):
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return jnp.sin(x)
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def false_fun(x):
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return jnp.cos(x)
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def f(x):
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return jax.lax.cond(True, x, true_fun, x, false_fun)
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hlo = jax.xla_computation(f)(1.).get_hlo_module().to_string()
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self.assertRegex(hlo, 'op_type="cond"')
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self.assertRegex(hlo, 'op_name=".*cond\\[ linear=\\(False, False\\) \\]"')
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self.assertRegex(hlo, 'op_type="cos"')
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self.assertRegex(hlo, 'op_name=".*cond/branch_0_fun/cos"')
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self.assertRegex(hlo, 'op_type="sin"')
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self.assertRegex(hlo, 'op_name=".*cond/branch_1_fun/sin"')
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if __name__ == "__main__":
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absltest.main(testLoader=jtu.JaxTestLoader())
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