mirror of
https://github.com/ROCm/jax.git
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1056 lines
34 KiB
Python
1056 lines
34 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 __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from functools import partial
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import logging
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import numpy as onp
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import os
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import re
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from typing import Any, Callable, List, Sequence, Tuple
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from unittest import SkipTest
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from absl.testing import absltest
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from absl.testing import parameterized
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from jax import api
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from jax import lax
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from jax import numpy as np
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from jax import test_util as jtu
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from jax.config import config
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from jax.experimental import host_callback as hcb
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from jax.interpreters import xla
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from jax.interpreters import partial_eval as pe
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from jax.lib import xla_bridge
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config.parse_flags_with_absl()
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FLAGS = config.FLAGS
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def skip_if_jit_not_enabled():
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if os.getenv("JAX_ENABLE_JIT_PRINT", "false") == "false":
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raise SkipTest("print jit not enabled yet; use JAX_ENABLE_JIT_PRINT env.")
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class _TestingOutputStream(object):
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"""Use as `output_stream` for tests."""
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def __init__(self):
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self._output = []
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self.testMethodName = None
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def write(self, what: str) -> None:
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print(f"output_stream[{self.testMethodName}]: {what}", end="")
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self._output.append(what)
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@property
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def output(self):
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return "".join(self._output)
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def __str__(self):
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return "TestingOutputStream"
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def reset(self):
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self._output = []
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testing_stream = _TestingOutputStream()
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def fun1(a):
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y = hcb.id_print(a * 2., what="a * 2", output_stream=testing_stream)
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y = hcb.id_print(y * 3., what="y * 3", output_stream=testing_stream, result=y)
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return y**2 # Some computation to make the gradient interesting
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def fun1_equiv(a): # Numerical equivalent of fun`
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return (a * 2.)**2
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def assertMultiLineStrippedEqual(tst: jtu.JaxTestCase, expected: str, what: str):
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"""A variant that preprocesses the string to eliminate non-determinism in
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floating point values, and several uninteresting id_tap primitive params."""
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# Sometimes we get floating points in the output; we round them
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def repl_floats(match_group):
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matched = match_group.group(0)
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if matched == ".": return matched
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# TODO: why can't we use here np.around?
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x = onp.around(float(matched), decimals=2)
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return f"{x:.2f}"
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what = re.sub(r"\-?\d*\.[\-\def]*", repl_floats, what)
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what = re.sub(r"output_stream=[^\]\n]*", "", what)
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what = re.sub(r"threshold=[^\]\n]*", "", what)
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# Empty lines
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what = re.sub(r"^\s*\n", "", what, flags=re.MULTILINE)
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def repl_func(match_group):
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matched = match_group.group(0)
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if "function _print_consumer" in matched:
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return "func=_print"
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else:
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return "..."
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what = re.sub(r"func=(.*)", repl_func, what)
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tst.assertMultiLineStrippedEqual(expected, what)
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class HostCallbackTest(jtu.JaxTestCase):
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def setUp(self):
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testing_stream.reset()
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testing_stream.testMethodName = self._testMethodName
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def helper_set_devices(self, nr_devices):
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flags_str = os.getenv("XLA_FLAGS", "")
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os.environ["XLA_FLAGS"] = (
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flags_str +
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" --xla_force_host_platform_device_count={}".format(nr_devices))
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# Clear any cached backends so new CPU backend will pick up the env var.
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xla_bridge.get_backend.cache_clear()
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return api.devices()
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def helper_set_hlo_dump(self):
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flags_str = os.getenv("XLA_FLAGS", "")
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os.environ["XLA_FLAGS"] = f"{flags_str} --xla_dump_to=/tmp/xla_dump"
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# Clear any cached backends so new CPU backend will pick up the env var.
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xla_bridge.get_backend.cache_clear()
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def test_eval(self):
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assertMultiLineStrippedEqual(self, """
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{ lambda ; a.
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let b = mul a 2.00
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c = id_tap[ arg_treedef=*
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func=_print
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what=a * 2 ] b
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d = mul c 3.00
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e f = id_tap[ arg_treedef=*
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func=_print
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nr_untapped=1
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what=y * 3 ] d c
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g = pow f 2.00
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in (g,) }""", str(api.make_jaxpr(fun1)(5.)))
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self.assertEqual("", testing_stream.output)
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self.assertEqual((5. * 2.) ** 2, fun1(5.))
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assertMultiLineStrippedEqual(self, """
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what: a * 2
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10.00
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what: y * 3
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30.00""", testing_stream.output)
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testing_stream.reset()
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def test_with_tuple_results(self):
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def func2(x):
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x1, y1 = hcb.id_print((x * 2., x * 3.), output_stream=testing_stream)
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return x1 + y1
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assertMultiLineStrippedEqual(self, """
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{ lambda ; a.
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let b = mul a 2.00
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c = mul a 3.00
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d e = id_tap[ arg_treedef=PyTreeDef(tuple, [*,*])
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func=_print
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] b c
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f = add d e
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in (f,) }""", str(api.make_jaxpr(func2)(3.)))
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self.assertEqual(3. * (2. + 3.), func2(3.))
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assertMultiLineStrippedEqual(self, """
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[ 6.00
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9.00 ]""", testing_stream.output)
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testing_stream.reset()
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def test_with_dict_results(self):
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def func2(x):
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res = hcb.id_print(dict(a=x * 2., b=x * 3.), output_stream=testing_stream)
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return res["a"] + res["b"]
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assertMultiLineStrippedEqual(self, """
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{ lambda ; a.
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let b = mul a 2.00
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c = mul a 3.00
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d e = id_tap[ arg_treedef=PyTreeDef(dict[['a', 'b']], [*,*])
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func=_print
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] b c
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f = add d e
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in (f,) }""", str(api.make_jaxpr(func2)(3.)))
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self.assertEqual(3. * (2. + 3.), func2(3.))
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assertMultiLineStrippedEqual(self, """
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{ a=6.00
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b=9.00 }""", testing_stream.output)
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testing_stream.reset()
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def test_with_result(self):
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def func2(x):
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x1 = hcb.id_print((x * 2., x * 3.), result=x * 4.,
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output_stream=testing_stream)
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return x1
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assertMultiLineStrippedEqual(self, """
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{ lambda ; a.
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let b = mul a 2.00
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c = mul a 3.00
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d = mul a 4.00
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e f g = id_tap[ arg_treedef=PyTreeDef(tuple, [*,*])
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func=_print
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nr_untapped=1
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] b c d
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in (g,) }""", str(api.make_jaxpr(func2)(3.)))
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self.assertEqual(3. * 4., func2(3.))
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assertMultiLineStrippedEqual(self, """
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[ 6.00
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9.00 ]""", testing_stream.output)
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testing_stream.reset()
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def test_pytree(self):
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def func(x, what=""):
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"""Returns some pytrees depending on x"""
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if what == "pair_1_x":
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return (1, x)
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elif what == "pair_x_2x":
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return (x, 2 * x)
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elif what == "dict":
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return dict(a=2 * x, b=3 * x)
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else:
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assert False
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tap_count = 0
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def tap_func(a, what=""):
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nonlocal tap_count
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tap_count += 1
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self.assertEqual(func(5, what), a)
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for what in ("pair_1_x", "pair_x_2x", "dict"):
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self.assertEqual(func(10, what),
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(lambda x: hcb.id_tap(tap_func, func(x, what),
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result=func(x * 2, what),
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what=what))(5))
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self.assertEqual(3, tap_count)
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def test_eval_tap_exception(self):
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# Simulate a tap error
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def tap_err(*args, **kwargs):
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raise NotImplementedError
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def func(x):
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x1 = hcb.id_print(x + 1, what="x1", output_stream=testing_stream)
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x2 = hcb.id_tap(tap_err, x1 + 1, what="err")
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x3 = hcb.id_print(x2 + 1, what="x3", output_stream=testing_stream)
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return x3
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with self.assertRaises(hcb.TapFunctionException):
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res = func(0)
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# We should have received everything before the error
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assertMultiLineStrippedEqual(self,
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"""
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what: x1
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1""", testing_stream.output)
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testing_stream.reset()
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def test_jit_simple(self):
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jit_fun1 = api.jit(lambda x: 3. * hcb.id_print(
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2. * x, what="here", output_stream=testing_stream))
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assertMultiLineStrippedEqual(self, """
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{ lambda ; a.
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let b = xla_call[ backend=None
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call_jaxpr={ lambda ; a.
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let b = mul a 2.00
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c = id_tap[ arg_treedef=*
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func=_print
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what=here ] b
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d = mul c 3.00
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in (d,) }
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device=None
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name=<lambda> ] a
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in (b,) }""", str(api.make_jaxpr(jit_fun1)(5.)))
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logging.warning("%s: %s",
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self._testMethodName, api.xla_computation(jit_fun1)(5.).GetHloText())
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with hcb.outfeed_receiver(receiver_name=self._testMethodName):
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res = jit_fun1(5.)
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self.assertAllClose(6. * 5., res, check_dtypes=True)
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assertMultiLineStrippedEqual(self,
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"""
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what: here
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10.00""", testing_stream.output)
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testing_stream.reset()
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def test_jit_sequence1(self):
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def func(x):
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x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
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return hcb.id_print(x1 + 1, where="2", output_stream=testing_stream)
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logging.info("%s: %s", self._testMethodName,
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api.make_jaxpr(func)(1))
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logging.info("%s: %s", self._testMethodName,
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api.xla_computation(func)(1).GetHloText())
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with hcb.outfeed_receiver(receiver_name=self._testMethodName):
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self.assertEqual(2, api.jit(func)(1))
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assertMultiLineStrippedEqual(self, """
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where: 1
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1
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where: 2
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2""", testing_stream.output)
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testing_stream.reset()
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def test_jit2(self):
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"""A sequence of JIT."""
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def func(x):
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x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
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x2 = hcb.id_print(x1 + 1, where="2", output_stream=testing_stream)
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return x2
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with hcb.outfeed_receiver(receiver_name=self._testMethodName):
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self.assertEqual(2, api.jit(func)(1))
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self.assertEqual(11, api.jit(func)(10))
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assertMultiLineStrippedEqual(self, """
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where: 1
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1
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where: 2
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2
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where: 1
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10
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where: 2
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11""", testing_stream.output)
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testing_stream.reset()
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def test_jit_nested(self):
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def func(x):
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x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
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def func_nested(x):
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x2 = hcb.id_print(x + 1, where="nested", output_stream=testing_stream)
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return x2
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x3 = api.jit(func_nested)(x1)
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return hcb.id_print(x3 + 1, where="3", output_stream=testing_stream)
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logging.warning("%s: %s", self._testMethodName,
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api.make_jaxpr(func)(1))
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logging.warning("%s: %s", self._testMethodName,
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api.xla_computation(func)(1).GetHloText())
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with hcb.outfeed_receiver(receiver_name=self._testMethodName):
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self.assertEqual(3, api.jit(func)(1))
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assertMultiLineStrippedEqual(self, """
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where: 1
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1
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where: nested
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2
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where: 3
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3""", testing_stream.output)
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testing_stream.reset()
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def test_jit_devices(self):
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"""Running on multiple devices."""
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devices = api.local_devices()
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logging.info(f"{self._testMethodName}: has devices {devices}")
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def func(x, device_id):
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x1 = hcb.id_print(x, dev=str(device_id), output_stream=testing_stream)
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x2 = hcb.id_print(x1 + 1, dev=str(device_id), output_stream=testing_stream)
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return x2
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with hcb.outfeed_receiver(receiver_name=self._testMethodName):
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for d in devices:
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self.assertEqual(112, api.jit(func, device=d, static_argnums=1)(111, d.id))
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logging.info(f"{self._testMethodName}: found output {testing_stream.output}")
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self.assertEqual(len(devices), len(re.findall(r"111", testing_stream.output)))
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self.assertEqual(len(devices), len(re.findall(r"112", testing_stream.output)))
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testing_stream.reset()
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def test_jit_pytree(self):
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def func(x, what=""):
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"""Returns some pytrees depending on x"""
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if what == "pair_1_x":
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return (1, x)
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elif what == "pair_x_2x":
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return (x, 2 * x)
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elif what == "dict":
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return dict(a=2 * x, b=3 * x)
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else:
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assert False
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tap_count = 0
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def tap_func(a, what=""):
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nonlocal tap_count
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tap_count += 1
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self.assertEqual(func(5, what), a)
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with hcb.outfeed_receiver(receiver_name=self._testMethodName):
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for what in ("pair_1_x", "pair_x_2x", "dict"):
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self.assertEqual(func(10, what),
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api.jit(lambda x: hcb.id_tap(tap_func, func(x, what),
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result=func(x * 2, what),
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what=what))(5))
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# Wait for receivers to be done
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self.assertEqual(3, tap_count)
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def test_jit_cond1(self):
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"""A conditional"""
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def func(x):
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x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
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x2 = hcb.id_print(x1 + 1, where="2", output_stream=testing_stream)
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x4 = lax.cond(x % 2 == 0,
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x2 + 1, lambda x: hcb.id_print(x, where="cond_t", output_stream=testing_stream),
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x2 + 1, lambda x: hcb.id_print(-1, where="cond_f", result=x, output_stream=testing_stream))
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x5 = hcb.id_print(x4 + 1, where="w_2", output_stream=testing_stream)
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return x5
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logging.warning("%s: %s", self._testMethodName, api.make_jaxpr(func)(1))
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logging.warning("%s: %s", self._testMethodName,
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api.xla_computation(func)(1).GetHloText())
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with hcb.outfeed_receiver(receiver_name=self._testMethodName):
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self.assertEqual(4, api.jit(func)(1))
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assertMultiLineStrippedEqual(self, """
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where: 1
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1
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where: 2
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2
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where: cond_f
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-1
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where: w_2
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4""", testing_stream.output)
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testing_stream.reset()
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def test_jit_while_cond(self):
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def func(x):
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x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
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x2 = hcb.id_print(x1 + 1, where="2", output_stream=testing_stream)
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def body(x):
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x3 = hcb.id_print(x, where="w_1", output_stream=testing_stream)
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x4 = lax.cond(x % 2 == 0,
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x3 + 1, lambda x: hcb.id_print(x, where="w_t", output_stream=testing_stream),
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x3 + 1, lambda x: hcb.id_print(-1, where="w_f", result=x, output_stream=testing_stream))
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return hcb.id_print(x4 + 1, where="w_2", output_stream=testing_stream)
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x10 = lax.while_loop(lambda x: x < 10, body, x2)
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res = hcb.id_print(x10, where="10", output_stream=testing_stream)
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return res
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logging.warning("%s: %s", self._testMethodName, api.make_jaxpr(func)(1))
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logging.warning("%s: %s", self._testMethodName,
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api.xla_computation(func)(1).GetHloText())
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with hcb.outfeed_receiver(receiver_name=self._testMethodName):
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self.assertEqual(10, api.jit(func)(1))
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assertMultiLineStrippedEqual(self, """
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where: 1
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1
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where: 2
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2
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where: w_1
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2
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where: w_t
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3
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where: w_2
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4
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where: w_1
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4
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where: w_t
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5
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where: w_2
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6
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where: w_1
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6
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where: w_t
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7
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where: w_2
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8
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where: w_1
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8
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where: w_t
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9
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where: w_2
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10
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where: 10
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10""", testing_stream.output)
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testing_stream.reset()
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|
|
def test_jit_while_pred_printing(self):
|
|
raise SkipTest("Not yet implemented")
|
|
"""While with printing in the conditional."""
|
|
def func(x):
|
|
x1 = hcb.id_print(x, where="1")
|
|
|
|
def body(x):
|
|
x3 = hcb.id_print(x, where="w_1", output_stream=testing_stream)
|
|
return hcb.id_print(x3 + 1, where="w_2", output_stream=testing_stream)
|
|
|
|
x10 = lax.while_loop(lambda x: hcb.id_print(x < 10, where="w_p", output_stream=testing_stream),
|
|
body, x1)
|
|
res = hcb.id_print(x10, where="10", output_stream=testing_stream)
|
|
return res
|
|
|
|
logging.warning("%s: %s", self._testMethodName, api.make_jaxpr(func)(1))
|
|
logging.warning("%s: %s", self._testMethodName,
|
|
api.xla_computation(func)(1).GetHloText())
|
|
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
self.assertEqual(10, api.jit(func)(1))
|
|
assertMultiLineStrippedEqual(self,
|
|
"""
|
|
""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
|
|
def test_jit_scan_cond(self):
|
|
def func(x):
|
|
x1 = hcb.id_print(x, where="1", output_stream=testing_stream)
|
|
x2 = hcb.id_print(x1 + 1, where="2", output_stream=testing_stream)
|
|
|
|
def body(c, x):
|
|
x3 = hcb.id_print(x, where="s_1", output_stream=testing_stream)
|
|
x4 = lax.cond(x % 2 == 0,
|
|
x3 + 1, lambda x: hcb.id_print(x, where="s_t", output_stream=testing_stream),
|
|
x3 + 1, lambda x: hcb.id_print(-1, where="s_f", result=x, output_stream=testing_stream))
|
|
return (c, hcb.id_print(x4 + 1, where="w_2", output_stream=testing_stream))
|
|
|
|
_, x10 = lax.scan(body, x2, np.arange(3))
|
|
res = hcb.id_print(x10, where="10", output_stream=testing_stream)
|
|
return res
|
|
|
|
logging.warning("%s: %s", self._testMethodName, api.make_jaxpr(func)(1))
|
|
logging.warning("%s: %s", self._testMethodName,
|
|
api.xla_computation(func)(1).GetHloText())
|
|
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
res = api.jit(func)(1)
|
|
self.assertAllClose(np.array([2, 3, 4]), res, check_dtypes=True)
|
|
assertMultiLineStrippedEqual(self, """
|
|
where: 1
|
|
1
|
|
where: 2
|
|
2
|
|
where: s_1
|
|
0
|
|
where: s_t
|
|
1
|
|
where: w_2
|
|
2
|
|
where: s_1
|
|
1
|
|
where: s_f
|
|
-1
|
|
where: w_2
|
|
3
|
|
where: s_1
|
|
2
|
|
where: s_t
|
|
3
|
|
where: w_2
|
|
4
|
|
where: 10
|
|
[2 3 4]""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
@parameterized.named_parameters(
|
|
jtu.cases_from_list(
|
|
dict(
|
|
testcase_name=f"_shape_{shape}_dtype_{dtype}_nr_args={nr_args}",
|
|
shape=shape,
|
|
dtype=dtype,
|
|
nr_args=nr_args) for nr_args in [1, 2]
|
|
for shape in [(), (2,), (2, 3), (2, 3, 4)]
|
|
for dtype in jtu.supported_dtypes()))
|
|
def test_jit_types(self, nr_args=2, dtype=np.int16, shape=(2,)):
|
|
if dtype in (np.complex64, np.complex128, np.bool_):
|
|
raise SkipTest(f"id_print jit not implemented for {dtype}.")
|
|
if jtu.device_under_test() == "tpu":
|
|
if dtype in (np.int16,):
|
|
raise SkipTest(f"transfering {dtype} not supported on TPU")
|
|
# self.helper_set_hlo_dump()
|
|
args = [np.arange(np.prod(shape), dtype=dtype).reshape(shape)]
|
|
if nr_args > 1:
|
|
args = args * nr_args
|
|
jit_fun1 = api.jit(lambda xs: hcb.id_print(
|
|
xs,
|
|
a_new_test="************",
|
|
testcase_name=f"shape_{shape}_dtype_{dtype}_nr_args={nr_args}"))
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
res = jit_fun1(args)
|
|
# self.assertAllClose(args, res, check_dtypes=True)
|
|
|
|
def test_jit_large(self):
|
|
arg = np.arange(10000, dtype=np.int32).reshape((10, 10, 5, -1))
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
api.jit(hcb.id_print)(arg)
|
|
|
|
def test_jit_several_together(self):
|
|
arg = np.arange(50, dtype=np.int32).reshape((10, 5))
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
api.jit(lambda x, y: hcb.id_print((x, y, x * 2.)))(arg, np.ones(100, dtype=np.int32))
|
|
|
|
def test_jit_interleaving(self):
|
|
# Several jit's without data dependencies; they may interfere
|
|
count = 0 # Count tap invocations
|
|
nr_arrays = 5
|
|
def tap_func(arg, **kwargs):
|
|
nonlocal count
|
|
assert len(arg) == nr_arrays
|
|
count += 1
|
|
# This is the function that we'll run multiple times
|
|
def func(x, count):
|
|
for i in range(count):
|
|
x = hcb.id_tap(tap_func, [x + i for i in range(nr_arrays)], i=i)[-1]
|
|
return x
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
x = np.array(1, dtype=onp.int32)
|
|
res = 0
|
|
for i in range(10):
|
|
# No dependencies between the jit invocations
|
|
res += api.jit(lambda x: func(x, 10))(x)
|
|
logging.warning("%s: %s", self._testMethodName,
|
|
api.xla_computation(lambda x: func(x, 5))(1).GetHloText())
|
|
self.assertEqual(100, count)
|
|
|
|
def test_jit_tap_exception(self):
|
|
# Simulate a tap error
|
|
def tap_err(*args, **kwargs):
|
|
raise NotImplementedError
|
|
def func(x):
|
|
x1 = hcb.id_print(x + 1, what="x1", output_stream=testing_stream)
|
|
x2 = hcb.id_tap(tap_err, x1 + 1, what="err")
|
|
x3 = hcb.id_print(x2 + 1, what="x3", output_stream=testing_stream)
|
|
return x3
|
|
|
|
with self.assertRaises(hcb.TapFunctionException):
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
res = api.jit(func)(0)
|
|
# Even though the receiver thread raised, the main thread should still
|
|
# return 3.
|
|
self.assertEqual(3, res)
|
|
# We should have received all others
|
|
assertMultiLineStrippedEqual(self, """
|
|
what: x1
|
|
1
|
|
what: x3
|
|
3""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
def test_jit_unknown_tap(self):
|
|
# Simulate an unknown tap function
|
|
def func(x):
|
|
x1 = hcb.id_print(x + 1, what="x1", output_stream=testing_stream)
|
|
x2 = hcb.id_tap(hcb._unknown_consumer, x1 + 1, what="err")
|
|
x3 = hcb.id_print(x2 + 1, what="x3", output_stream=testing_stream)
|
|
return x3
|
|
|
|
with self.assertRaises(hcb.TapFunctionException):
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
res = api.jit(func)(0)
|
|
# Even though the receiver thread raised, the main thread should still
|
|
# return 3.
|
|
self.assertEqual(3, res)
|
|
# We should have received all others
|
|
assertMultiLineStrippedEqual(self, """
|
|
what: x1
|
|
1
|
|
what: x3
|
|
3""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
# On CPU and GPU the device code blocks
|
|
# On GPU it seems that there is a 5 min timeout?
|
|
# On TPU the client does not block, but messes up the rest somehow
|
|
@jtu.skip_on_devices("cpu", "gpu", "tpu")
|
|
def test_jit_receiver_ends_prematurely(self):
|
|
# Simulate an unknown tap function
|
|
def func(x):
|
|
x1 = hcb.id_print(x + 1, what="x1", output_stream=testing_stream)
|
|
x2 = hcb.id_tap(hcb._end_consumer, result=x1 + 1) # Will end the consumer loop
|
|
x3 = hcb.id_print(x2 + 1, what="x3", output_stream=testing_stream)
|
|
return x3
|
|
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
res = api.jit(func)(0)
|
|
|
|
assert False # It seems that the previous jit blocks above
|
|
|
|
def test_jit_error_no_consumer(self):
|
|
# Check for errors if starting jit without a consumer active
|
|
with self.assertRaisesRegex(ValueError, "outfeed_receiver is not started"):
|
|
api.jit(lambda x: hcb.id_print(x))(0)
|
|
|
|
# On CPU and GPU the device code blocks
|
|
# On GPU it seems that there is a 5 min timeout?
|
|
# On TPU the client does not block, but messes up the rest somehow
|
|
@jtu.skip_on_devices("cpu", "gpu", "tpu")
|
|
def test_jit_receiver_ends_prematurely(self):
|
|
# Simulate an unknown tap function
|
|
def func(x):
|
|
x1 = hcb.id_print(x + 1, what="x1", output_stream=testing_stream)
|
|
x2 = hcb.id_tap(hcb._end_consumer, result=x1 + 1) # Will end the consumer loop
|
|
x3 = hcb.id_print(x2 + 1, what="x3", output_stream=testing_stream)
|
|
return x3
|
|
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
res = api.jit(func)(0)
|
|
|
|
assert False # It seems that the previous jit blocks above
|
|
|
|
def test_jit_nested_cond_no_print(self):
|
|
"""A nested conditional, without any prints"""
|
|
raise SkipTest("skip this")
|
|
@api.jit
|
|
def cfun(x):
|
|
return lax.cond(
|
|
lax.lt(x, 2),
|
|
x, lambda x: x,
|
|
x, lambda x: lax.cond(x < 5,
|
|
3, lambda x: x,
|
|
4, lambda y: y))
|
|
print(self._testMethodName, api.xla_computation(cfun)(1).GetHloText())
|
|
cfun(1)
|
|
|
|
def test_jvp(self):
|
|
jvp_fun1 = lambda x, xt: api.jvp(fun1, (x,), (xt,))
|
|
assertMultiLineStrippedEqual(self, """
|
|
{ lambda ; a b.
|
|
let c = mul a 2.00
|
|
d = id_tap[ arg_treedef=*
|
|
func=_print
|
|
nr_untapped=0
|
|
what=a * 2 ] c
|
|
e = mul d 3.00
|
|
f g = id_tap[ arg_treedef=*
|
|
func=_print
|
|
nr_untapped=1
|
|
what=y * 3 ] e d
|
|
h = pow g 2.00
|
|
i = mul b 2.00
|
|
j k = id_tap[ arg_treedef=*
|
|
func=_print
|
|
nr_untapped=1
|
|
transforms=('jvp',)
|
|
what=a * 2 ] i d
|
|
l = mul j 3.00
|
|
m n o = id_tap[ arg_treedef=*
|
|
func=_print
|
|
nr_untapped=2
|
|
transforms=('jvp',)
|
|
what=y * 3 ] l j f
|
|
p = pow g 1.00
|
|
q = mul 2.00 p
|
|
r = mul n q
|
|
in (h, r) }""",
|
|
str(api.make_jaxpr(jvp_fun1)(np.float32(5.), np.float32(0.1))))
|
|
|
|
res_primals, res_tangents = jvp_fun1(np.float32(5.), np.float32(0.1))
|
|
assertMultiLineStrippedEqual(self, """
|
|
what: a * 2
|
|
10.00
|
|
transforms: ('jvp',) what: a * 2
|
|
0.20
|
|
what: y * 3
|
|
30.00
|
|
transforms: ('jvp',) what: y * 3
|
|
0.60""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
def test_grad_primal_unused(self):
|
|
# The output of id_print is not needed for backwards pass
|
|
def func(x):
|
|
return 2. * hcb.id_print(x * 3., what="x * 3", output_stream=testing_stream)
|
|
|
|
grad_func = api.grad(func)
|
|
assertMultiLineStrippedEqual(self, """
|
|
{ lambda ; a.
|
|
let
|
|
in (6.00,) }""", str(api.make_jaxpr(grad_func)(5.)))
|
|
# Just making the Jaxpr invokes the id_print once
|
|
assertMultiLineStrippedEqual(self, """
|
|
transforms: ('jvp', 'transpose') what: x * 3
|
|
2.00""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
res_grad = grad_func(np.float32(5.))
|
|
self.assertAllClose(6., res_grad, check_dtypes=False)
|
|
assertMultiLineStrippedEqual(self, """
|
|
what: x * 3
|
|
15.00
|
|
transforms: ('jvp', 'transpose') what: x * 3
|
|
2.00""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
def test_grad_simple(self):
|
|
def func(x):
|
|
y = hcb.id_print(x * 2., what="x * 2", output_stream=testing_stream)
|
|
return x * hcb.id_print(y * 3., what="y * 3", output_stream=testing_stream)
|
|
grad_func = api.grad(func)
|
|
assertMultiLineStrippedEqual(self, """
|
|
{ lambda ; a.
|
|
let b = mul 1.00 a
|
|
c d = id_tap[ arg_treedef=*
|
|
func=_print
|
|
nr_untapped=1
|
|
transforms=('jvp', 'transpose')
|
|
what=y * 3 ] b 0.00
|
|
e = mul c 3.00
|
|
f g = id_tap[ arg_treedef=*
|
|
func=_print
|
|
nr_untapped=1
|
|
transforms=('jvp', 'transpose')
|
|
what=x * 2 ] e 0.00
|
|
h = mul f 2.00
|
|
i = mul a 2.00
|
|
j = id_tap[ arg_treedef=*
|
|
func=_print
|
|
nr_untapped=0
|
|
what=x * 2 ] i
|
|
k = mul j 3.00
|
|
l = id_tap[ arg_treedef=*
|
|
func=_print
|
|
nr_untapped=0
|
|
what=y * 3 ] k
|
|
m = mul 1.00 l
|
|
n = add_any h m
|
|
in (n,) }""", str(api.make_jaxpr(grad_func)(5.)))
|
|
|
|
res_grad = grad_func(np.float32(5.))
|
|
self.assertAllClose(2. * 5. * 6., res_grad, check_dtypes=False)
|
|
assertMultiLineStrippedEqual(self, """
|
|
what: x * 2
|
|
10.00
|
|
what: y * 3
|
|
30.00
|
|
transforms: ('jvp', 'transpose') what: y * 3
|
|
5.00
|
|
transforms: ('jvp', 'transpose') what: x * 2
|
|
15.00""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
def test_grad_double(self):
|
|
def func(x):
|
|
y = hcb.id_print(x * 2., what="x * 2", output_stream=testing_stream)
|
|
return x * (y * 3.)
|
|
|
|
grad_func = api.grad(api.grad(func))
|
|
assertMultiLineStrippedEqual(self, """
|
|
{ lambda ; a.
|
|
let
|
|
in (12.00,) }""", str(api.make_jaxpr(grad_func)(5.)))
|
|
# Just making the Jaxpr invokes the id_print twiceonce
|
|
assertMultiLineStrippedEqual(self, """
|
|
transforms: ('jvp', 'transpose') what: x * 2
|
|
3.00
|
|
transforms: ('jvp', 'transpose', 'jvp', 'transpose') what: x * 2
|
|
2.00""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
res_grad = grad_func(np.float32(5.))
|
|
self.assertAllClose(12., res_grad, check_dtypes=False)
|
|
assertMultiLineStrippedEqual(self, """
|
|
what: x * 2
|
|
10.00
|
|
transforms: ('jvp', 'transpose') what: x * 2
|
|
15.00
|
|
transforms: ('jvp', 'transpose', 'jvp', 'transpose') what: x * 2
|
|
2.00
|
|
transforms: ('jvp', 'transpose') what: x * 2
|
|
3.00""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
|
|
def test_vmap(self):
|
|
vmap_fun1 = api.vmap(fun1)
|
|
vargs = np.array([np.float32(4.), np.float32(5.)])
|
|
assertMultiLineStrippedEqual(self, """
|
|
{ lambda ; a.
|
|
let b = mul a 2.00
|
|
c = id_tap[ arg_treedef=*
|
|
batch_dims=(0,)
|
|
func=_print
|
|
transforms=('batch',)
|
|
what=a * 2 ] b
|
|
d = mul c 3.00
|
|
e f = id_tap[ arg_treedef=*
|
|
batch_dims=(0, 0)
|
|
func=_print
|
|
nr_untapped=1
|
|
transforms=('batch',)
|
|
what=y * 3 ] d c
|
|
g = pow f 2.00
|
|
in (g,) }""", str(api.make_jaxpr(vmap_fun1)(vargs)))
|
|
|
|
res_vmap = vmap_fun1(vargs)
|
|
assertMultiLineStrippedEqual(self, """
|
|
batch_dims: (0,) transforms: ('batch',) what: a * 2
|
|
[ 8.00 10.00]
|
|
batch_dims: (0, 0) transforms: ('batch',) what: y * 3
|
|
[24.00 30.00]""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
def test_vmap_not_batched(self):
|
|
x = 3.
|
|
def func(y):
|
|
# x is not mapped, y is mapped
|
|
_, y = hcb.id_print((x, y), output_stream=testing_stream)
|
|
return x + y
|
|
|
|
vmap_func = api.vmap(func)
|
|
vargs = np.array([np.float32(4.), np.float32(5.)])
|
|
assertMultiLineStrippedEqual(self, """
|
|
{ lambda ; a.
|
|
let b c = id_tap[ arg_treedef=PyTreeDef(tuple, [*,*])
|
|
batch_dims=(None, 0)
|
|
func=_print
|
|
transforms=('batch',) ] 3.00 a
|
|
d = add c 3.00
|
|
in (d,) }""", str(api.make_jaxpr(vmap_func)(vargs)))
|
|
|
|
res_vmap = vmap_func(vargs)
|
|
assertMultiLineStrippedEqual(self, """
|
|
batch_dims: (None, 0) transforms: ('batch',)
|
|
[ 3.00
|
|
[4.00 5.00] ]
|
|
""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
def test_pmap(self):
|
|
vargs = 2. + np.arange(api.local_device_count(), dtype=np.float32)
|
|
|
|
pmap_fun1 = api.pmap(fun1, axis_name="i")
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
res = pmap_fun1(vargs)
|
|
expected_res = np.stack([fun1_equiv(2. + a) for a in range(api.local_device_count())])
|
|
self.assertAllClose(expected_res, res, check_dtypes=False)
|
|
|
|
def test_pmap_error_no_receiver(self):
|
|
# Check for errors if starting jit without a consumer active
|
|
vargs = 2. + np.arange(api.local_device_count(), dtype=np.float32)
|
|
with self.assertRaisesRegex(ValueError, "outfeed_receiver is not started"):
|
|
api.pmap(lambda x: hcb.id_print(x))(vargs)
|
|
|
|
def test_mask(self):
|
|
raise SkipTest("masking has regressed")
|
|
@partial(api.mask, in_shapes=['n'], out_shape='')
|
|
def padded_sum(x):
|
|
return np.sum(hcb.id_print(x, what="x", output_stream=testing_stream))
|
|
args = [np.arange(4)], dict(n=onp.int64(2))
|
|
assertMultiLineStrippedEqual(self, """
|
|
{ lambda c f ; a b.
|
|
let d = lt c b
|
|
e = id_tap[ func=_print
|
|
logical_shapes=[(Traced<ShapedArray(int32[]):JaxprTrace(level=0/0)>,)]
|
|
transforms=('mask',)
|
|
what=x ] a
|
|
g = select d e f
|
|
h = reduce_sum[ axes=(0,) ] g
|
|
in (h,) }""", str(api.make_jaxpr(padded_sum)(*args)))
|
|
|
|
res = padded_sum(*args)
|
|
self.assertMultiLineStrippedEqual("""
|
|
logical_shapes: [(2,)] transforms: ('mask',) what: x
|
|
[0 1 2 3]
|
|
""", testing_stream.output)
|
|
testing_stream.reset()
|
|
|
|
class OutfeedRewriterTest(jtu.JaxTestCase):
|
|
def assertRewrite(self, expected: str, func: Callable, args: Sequence,
|
|
has_input_token=True, has_output_token=True):
|
|
"""Check that the rewrite of func(*args) matches expected."""
|
|
jaxpr = api.make_jaxpr(func)(*args)
|
|
assertMultiLineStrippedEqual(self, expected,
|
|
str(hcb._rewrite_typed_jaxpr(jaxpr, has_input_token, has_output_token)[0]))
|
|
|
|
def test_no_outfeed(self):
|
|
self.assertRewrite("""
|
|
{ lambda ; a.
|
|
let b = mul a a
|
|
c = add a b
|
|
in (c,) }""", lambda x: x + x * x, [0], has_input_token=False, has_output_token=False)
|
|
self.assertRewrite("""
|
|
{ lambda ; a d.
|
|
let b = mul a a
|
|
c = add a b
|
|
in (c,) }""", lambda x: x + x * x, [0], has_output_token=False)
|
|
self.assertRewrite("""
|
|
{ lambda ; a d.
|
|
let b = mul a a
|
|
c = add a b
|
|
in (c, d) }""", lambda x: x + x * x, [0])
|
|
|
|
def test_simple_outfeed(self):
|
|
self.assertRewrite("""
|
|
{ lambda ; a d.
|
|
let b = add a a
|
|
c e = id_tap[ arg_treedef=*
|
|
func=_print
|
|
] b d
|
|
in (c, e) }""", lambda x: hcb.id_print(x + x), [0])
|
|
|
|
def test_cond(self):
|
|
y = np.ones(5) # captured const
|
|
def func(x, z):
|
|
return lax.cond(z > 0, (1, 2), lambda a: (a[0], np.zeros(5)),
|
|
z, lambda a: (hcb.id_print(a), y))
|
|
self.assertRewrite("""
|
|
{ lambda d e ; a b h.
|
|
let c = gt b 0
|
|
f g i = cond[ false_jaxpr={ lambda ; c a d.
|
|
let b e = id_tap[ arg_treedef=*
|
|
func=_print
|
|
] a d
|
|
in (b, c, e) }
|
|
linear=(False, False, False, False, False, False, False)
|
|
true_jaxpr={ lambda ; c a b d.
|
|
let
|
|
in (a, c, d) } ] c d 1 2 h e b h
|
|
in (f, g, i) }""", func, [y, 5])
|
|
|
|
def test_while(self):
|
|
y = np.ones(5) # captured const
|
|
|
|
def func(x):
|
|
return lax.while_loop(lambda c: c[1] < 5,
|
|
lambda c: (y, hcb.id_print(c[1]) + 1), (x, 1))
|
|
# TODO: we should not need to start a receiver here!!! I believe this is
|
|
# because of the partial evaluation of while, which calls impl, which
|
|
# uses JIT.
|
|
with hcb.outfeed_receiver(receiver_name=self._testMethodName):
|
|
self.assertRewrite("""
|
|
{ lambda b ; a e.
|
|
let c d f = while[ body_jaxpr={ lambda ; c a b f.
|
|
let d g = id_tap[ arg_treedef=*
|
|
func=_print
|
|
] b f
|
|
e = add d 1
|
|
in (c, e, g) }
|
|
body_nconsts=1
|
|
cond_jaxpr={ lambda ; a b d.
|
|
let c = lt b 5
|
|
in (c,) }
|
|
cond_nconsts=0 ] b a 1 e
|
|
in (c, 5, f) }""", func, [y])
|
|
|
|
def test_scan(self):
|
|
y = np.ones(5) # captured const
|
|
def func(x):
|
|
return lax.scan(lambda c, a: (hcb.id_print(c), y), (1, 2), x)
|
|
self.assertRewrite("""
|
|
{ lambda b ; a f.
|
|
let c d g e = scan[ jaxpr={ lambda ; f a b g c.
|
|
let d e h = id_tap[ arg_treedef=PyTreeDef(tuple, [*,*])
|
|
func=_print
|
|
] a b g
|
|
in (d, e, h, f) }
|
|
length=5
|
|
linear=(False, False, False, False, False)
|
|
num_carry=3
|
|
num_consts=1
|
|
reverse=False ] b 1 2 f a
|
|
in (c, d, e, g) }""", func, [y])
|
|
|
|
|
|
if __name__ == "__main__":
|
|
absltest.main()
|