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128 lines
3.8 KiB
Python
128 lines
3.8 KiB
Python
# Copyright 2020 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 absl.testing import absltest
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import os
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import gzip
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import json
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import jax
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from jax import jaxpr_util, jit, make_jaxpr, numpy as jnp
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from jax._src.lib import xla_client
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from jax._src import test_util as jtu
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from jax.config import config
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config.parse_flags_with_absl()
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class JaxprStatsTest(jtu.JaxTestCase):
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def test_primitives(self):
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def f(x, y):
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s = jit(jnp.sin)(x)
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return jnp.sin(s) + jnp.cos(y)
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hist = jaxpr_util.primitives(make_jaxpr(f)(1., 1.).jaxpr)
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primitives = ['add', 'sin', 'cos']
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if jax.config.jax_jit_pjit_api_merge:
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primitives.append('pjit')
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else:
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primitives.append('xla_call')
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for k in primitives:
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assert k in hist, k
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self.assertEqual(hist['sin'], 2)
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self.assertTrue(all(count == 1 for k, count in hist.items() if k != 'sin'))
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def test_primitives_by_source(self):
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def f(x, y):
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s = jnp.sin(x)
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return jnp.sin(s) + jnp.cos(y)
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hist = jaxpr_util.primitives_by_source(make_jaxpr(f)(1., 1.).jaxpr)
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sin_keys = [k for k in hist.keys() if k.startswith('sin @ ')]
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rem_keys = [k for k in hist.keys() if not k.startswith('sin @ ')]
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self.assertEqual(sum(hist[k] for k in sin_keys), 2)
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self.assertTrue(all(hist[k] == 1 for k in rem_keys))
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def test_primitives_by_shape(self):
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def f(x, y):
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def sub(x, y):
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return jnp.sum(jnp.array([x, y])), y
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s, _ = jit(sub)(x, y)
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return jnp.sin(s) + jnp.cos(y)
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hist = jaxpr_util.primitives_by_shape(make_jaxpr(f)(1., 1.).jaxpr)
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t = '64' if config.x64_enabled else '32'
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shapes = [
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f'add :: float{t}[]',
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f'sin :: float{t}[]',
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f'cos :: float{t}[]',
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f'reduce_sum :: float{t}[]',
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f'concatenate :: float{t}[2]',
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]
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if jax.config.jax_jit_pjit_api_merge:
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shapes.append(f'pjit :: float{t}[] *')
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else:
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shapes.append(f'xla_call :: float{t}[] *')
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for k in shapes:
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self.assertEqual(hist[k], 1)
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def test_source_locations(self):
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def f(x, y):
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s = jnp.sin(x) # sin
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return jnp.sin(s) + jnp.cos(y) # sin, cos, add
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hist = jaxpr_util.source_locations(make_jaxpr(f)(1., 1.).jaxpr)
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self.assertEqual(sum(hist.values()), 4)
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def test_source_locations_exclude_contextlib(self):
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def f(x):
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# This generates a stack where the most recent non-jax frame
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# comes from contextlib.
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return jax.named_call(jnp.cos, name='test')(x)
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hist = jaxpr_util.source_locations(make_jaxpr(f)(1.).jaxpr)
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for filename in hist.keys():
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self.assertIn(os.path.basename(__file__), filename)
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def test_print_histogram(self):
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def f(x, y):
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s = jit(jnp.sin)(x)
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return jnp.sin(s) + jnp.cos(y)
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hist = jaxpr_util.primitives_by_source(make_jaxpr(f)(1., 1.).jaxpr)
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jaxpr_util.print_histogram(hist)
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def test_pprof_equation_profile(self):
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def f(x, y):
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s = jit(jnp.sin)(x)
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return jnp.sin(s) + jnp.cos(y)
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profile_gz = jaxpr_util.pprof_equation_profile(make_jaxpr(f)(1., 1.).jaxpr)
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profile_proto = gzip.decompress(profile_gz)
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json_str = xla_client._xla.pprof_profile_to_json(profile_proto)
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profile = json.loads(json_str)
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self.assertSetEqual(
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{"sampleType", "sample", "stringTable", "location", "function"},
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set(profile.keys()))
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if __name__ == "__main__":
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absltest.main()
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