561 lines
16 KiB
Python
561 lines
16 KiB
Python
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from io import StringIO
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import numpy as np
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from numba.core import types
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from numba.core.compiler import compile_extra, Flags
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from numba.tests.support import TestCase, tag, MemoryLeakMixin
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import unittest
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looplift_flags = Flags()
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looplift_flags.force_pyobject = True
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looplift_flags.enable_looplift = True
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pyobject_looplift_flags = looplift_flags.copy()
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pyobject_looplift_flags.enable_pyobject_looplift = True
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def compile_isolated(pyfunc, argtypes, **kwargs):
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from numba.core.registry import cpu_target
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kwargs.setdefault('return_type', None)
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kwargs.setdefault('locals', {})
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return compile_extra(
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cpu_target.typing_context,
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cpu_target.target_context,
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pyfunc,
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argtypes,
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**kwargs,
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)
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def lift1(x):
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# Outer needs object mode because of np.empty()
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a = np.empty(3)
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for i in range(a.size):
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# Inner is nopython-compliant
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a[i] = x
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return a
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def lift2(x):
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# Outer needs object mode because of np.empty()
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a = np.empty((3, 4))
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for i in range(a.shape[0]):
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for j in range(a.shape[1]):
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# Inner is nopython-compliant
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a[i, j] = x
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return a
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def lift3(x):
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# Output variable from the loop
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_ = object()
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a = np.arange(5, dtype=np.int64)
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c = 0
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for i in range(a.shape[0]):
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c += a[i] * x
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return c
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def lift4(x):
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# Output two variables from the loop
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_ = object()
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a = np.arange(5, dtype=np.int64)
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c = 0
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d = 0
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for i in range(a.shape[0]):
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c += a[i] * x
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d += c
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return c + d
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def lift5(x):
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_ = object()
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a = np.arange(4)
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for i in range(a.shape[0]):
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# Inner has a break statement
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if i > 2:
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break
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return a
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def lift_gen1(x):
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# Outer needs object mode because of np.empty()
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a = np.empty(3)
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yield 0
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for i in range(a.size):
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# Inner is nopython-compliant
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a[i] = x
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yield np.sum(a)
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def lift_issue2561():
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np.empty(1) # This forces objectmode because no nrt
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for i in range(10):
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for j in range(10):
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return 1
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return 2
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def reject1(x):
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a = np.arange(4)
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for i in range(a.shape[0]):
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# Inner returns a variable from outer "scope" => cannot loop-lift
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return a
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return a
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def reject_gen1(x):
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_ = object()
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a = np.arange(4)
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for i in range(a.shape[0]):
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# Inner is a generator => cannot loop-lift
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yield a[i]
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def reject_gen2(x):
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_ = object()
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a = np.arange(3)
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for i in range(a.size):
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# Middle has a yield => cannot loop-lift
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res = a[i] + x
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for j in range(i):
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# Inner is nopython-compliant, but the current algorithm isn't
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# able to separate it.
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res = res ** 2
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yield res
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def reject_npm1(x):
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a = np.empty(3, dtype=np.int32)
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for i in range(a.size):
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# Inner uses object() => cannot loop-lift
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_ = object()
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a[i] = np.arange(i + 1)[i]
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return a
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class TestLoopLifting(MemoryLeakMixin, TestCase):
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def try_lift(self, pyfunc, argtypes):
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from numba.core.registry import cpu_target
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cres = compile_extra(
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cpu_target.typing_context,
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cpu_target.target_context,
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pyfunc, argtypes,
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return_type=None, flags=looplift_flags, locals={},
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)
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# One lifted loop
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self.assertEqual(len(cres.lifted), 1)
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return cres
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def assert_lifted_native(self, cres):
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# Check if we have lifted in nopython mode
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jitloop = cres.lifted[0]
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[loopcres] = jitloop.overloads.values()
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self.assertTrue(loopcres.fndesc.native) # Lifted function is native
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def check_lift_ok(self, pyfunc, argtypes, args):
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"""
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Check that pyfunc can loop-lift even in nopython mode.
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"""
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cres = self.try_lift(pyfunc, argtypes)
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expected = pyfunc(*args)
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got = cres.entry_point(*args)
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self.assert_lifted_native(cres)
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# Check return values
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self.assertPreciseEqual(expected, got)
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def check_lift_generator_ok(self, pyfunc, argtypes, args):
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"""
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Check that pyfunc (a generator function) can loop-lift even in
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nopython mode.
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"""
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cres = self.try_lift(pyfunc, argtypes)
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expected = list(pyfunc(*args))
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got = list(cres.entry_point(*args))
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self.assert_lifted_native(cres)
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# Check return values
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self.assertPreciseEqual(expected, got)
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def check_no_lift(self, pyfunc, argtypes, args):
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"""
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Check that pyfunc can't loop-lift.
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"""
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cres = compile_isolated(pyfunc, argtypes,
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flags=looplift_flags)
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self.assertFalse(cres.lifted)
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expected = pyfunc(*args)
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got = cres.entry_point(*args)
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# Check return values
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self.assertPreciseEqual(expected, got)
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def check_no_lift_generator(self, pyfunc, argtypes, args):
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"""
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Check that pyfunc (a generator function) can't loop-lift.
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"""
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cres = compile_isolated(pyfunc, argtypes,
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flags=looplift_flags)
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self.assertFalse(cres.lifted)
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expected = list(pyfunc(*args))
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got = list(cres.entry_point(*args))
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self.assertPreciseEqual(expected, got)
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def test_lift1(self):
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self.check_lift_ok(lift1, (types.intp,), (123,))
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def test_lift2(self):
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self.check_lift_ok(lift2, (types.intp,), (123,))
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def test_lift3(self):
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self.check_lift_ok(lift3, (types.intp,), (123,))
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def test_lift4(self):
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self.check_lift_ok(lift4, (types.intp,), (123,))
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def test_lift5(self):
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self.check_lift_ok(lift5, (types.intp,), (123,))
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def test_lift_issue2561(self):
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self.check_lift_ok(lift_issue2561, (), ())
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def test_lift_gen1(self):
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self.check_lift_generator_ok(lift_gen1, (types.intp,), (123,))
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def test_reject1(self):
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self.check_no_lift(reject1, (types.intp,), (123,))
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def test_reject_gen1(self):
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self.check_no_lift_generator(reject_gen1, (types.intp,), (123,))
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def test_reject_gen2(self):
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self.check_no_lift_generator(reject_gen2, (types.intp,), (123,))
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class TestLoopLiftingAnnotate(TestCase):
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def test_annotate_1(self):
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"""
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Verify that annotation works as expected with one lifted loop
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"""
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from numba import jit
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# dummy function to force objmode
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def bar():
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pass
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def foo(x):
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bar() # force obj
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for i in range(x.size):
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x[i] += 1
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return x
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cfoo = jit(forceobj=True)(foo)
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x = np.arange(10)
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xcopy = x.copy()
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r = cfoo(x)
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np.testing.assert_equal(r, xcopy + 1)
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buf = StringIO()
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cfoo.inspect_types(file=buf)
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annotation = buf.getvalue()
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buf.close()
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self.assertIn("The function contains lifted loops", annotation)
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line = foo.__code__.co_firstlineno + 2 # 2 lines down from func head
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self.assertIn("Loop at line {line}".format(line=line), annotation)
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self.assertIn("Has 1 overloads", annotation)
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def test_annotate_2(self):
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"""
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Verify that annotation works as expected with two lifted loops
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"""
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from numba import jit
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# dummy function to force objmode
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def bar():
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pass
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def foo(x):
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bar() # force obj
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# first lifted loop
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for i in range(x.size):
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x[i] += 1
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# second lifted loop
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for j in range(x.size):
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x[j] *= 2
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return x
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cfoo = jit(forceobj=True)(foo)
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x = np.arange(10)
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xcopy = x.copy()
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r = cfoo(x)
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np.testing.assert_equal(r, (xcopy + 1) * 2)
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buf = StringIO()
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cfoo.inspect_types(file=buf)
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annotation = buf.getvalue()
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buf.close()
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self.assertIn("The function contains lifted loops", annotation)
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line1 = foo.__code__.co_firstlineno + 3 # 3 lines down from func head
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line2 = foo.__code__.co_firstlineno + 6 # 6 lines down from func head
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self.assertIn("Loop at line {line}".format(line=line1), annotation)
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self.assertIn("Loop at line {line}".format(line=line2), annotation)
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class TestLoopLiftingInAction(MemoryLeakMixin, TestCase):
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def assert_has_lifted(self, jitted, loopcount):
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lifted = jitted.overloads[jitted.signatures[0]].lifted
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self.assertEqual(len(lifted), loopcount)
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def test_issue_734(self):
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from numba import jit, void, int32, double
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@jit(void(int32, double[:]), forceobj=True)
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def forloop_with_if(u, a):
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if u == 0:
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for i in range(a.shape[0]):
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a[i] = a[i] * 2.0
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else:
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for i in range(a.shape[0]):
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a[i] = a[i] + 1.0
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for u in (0, 1):
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nb_a = np.arange(10, dtype='int32')
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np_a = np.arange(10, dtype='int32')
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forloop_with_if(u, nb_a)
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forloop_with_if.py_func(u, np_a)
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self.assertPreciseEqual(nb_a, np_a)
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def test_issue_812(self):
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from numba import jit
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@jit('f8[:](f8[:])', forceobj=True)
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def test(x):
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res = np.zeros(len(x))
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ind = 0
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for ii in range(len(x)):
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ind += 1
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res[ind] = x[ind]
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if x[ind] >= 10:
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break
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# Invalid loopjitting will miss the usage of `ind` in the
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# following loop.
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for ii in range(ind + 1, len(x)):
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res[ii] = 0
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return res
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x = np.array([1., 4, 2, -3, 5, 2, 10, 5, 2, 6])
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np.testing.assert_equal(test.py_func(x), test(x))
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def test_issue_2368(self):
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from numba import jit
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def lift_issue2368(a, b):
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s = 0
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for e in a:
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s += e
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h = b.__hash__()
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return s, h
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a = np.ones(10)
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b = object()
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jitted = jit(forceobj=True)(lift_issue2368)
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expected = lift_issue2368(a, b)
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got = jitted(a, b)
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self.assertEqual(expected[0], got[0])
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self.assertEqual(expected[1], got[1])
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jitloop = jitted.overloads[jitted.signatures[0]].lifted[0]
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[loopcres] = jitloop.overloads.values()
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# assert lifted function is native
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self.assertTrue(loopcres.fndesc.native)
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def test_no_iteration_w_redef(self):
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# redefinition of res in the loop with no use of res should not
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# prevent lifting
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from numba import jit
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@jit(forceobj=True)
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def test(n):
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res = 0
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for i in range(n):
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res = i
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return res
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# loop count = 1, loop lift but loop body not execute
|
||
|
|
self.assertEqual(test.py_func(-1), test(-1))
|
||
|
|
self.assert_has_lifted(test, loopcount=1)
|
||
|
|
# loop count = 1, loop will lift and will execute
|
||
|
|
self.assertEqual(test.py_func(1), test(1))
|
||
|
|
self.assert_has_lifted(test, loopcount=1)
|
||
|
|
|
||
|
|
def test_no_iteration(self):
|
||
|
|
from numba import jit
|
||
|
|
|
||
|
|
@jit(forceobj=True)
|
||
|
|
def test(n):
|
||
|
|
res = 0
|
||
|
|
for i in range(n):
|
||
|
|
res += i
|
||
|
|
return res
|
||
|
|
|
||
|
|
# loop count = 1
|
||
|
|
self.assertEqual(test.py_func(-1), test(-1))
|
||
|
|
self.assert_has_lifted(test, loopcount=1)
|
||
|
|
# loop count = 1
|
||
|
|
self.assertEqual(test.py_func(1), test(1))
|
||
|
|
self.assert_has_lifted(test, loopcount=1)
|
||
|
|
|
||
|
|
def test_define_in_loop_body(self):
|
||
|
|
# tests a definition in a loop that leaves the loop is liftable
|
||
|
|
from numba import jit
|
||
|
|
|
||
|
|
@jit(forceobj=True)
|
||
|
|
def test(n):
|
||
|
|
for i in range(n):
|
||
|
|
res = i
|
||
|
|
return res
|
||
|
|
|
||
|
|
# loop count = 1
|
||
|
|
self.assertEqual(test.py_func(1), test(1))
|
||
|
|
self.assert_has_lifted(test, loopcount=1)
|
||
|
|
|
||
|
|
def test_invalid_argument(self):
|
||
|
|
"""Test a problem caused by invalid discovery of loop argument
|
||
|
|
when a variable is used afterwards but not before.
|
||
|
|
|
||
|
|
Before the fix, this will result in::
|
||
|
|
|
||
|
|
numba.ir.NotDefinedError: 'i' is not defined
|
||
|
|
"""
|
||
|
|
from numba import jit
|
||
|
|
|
||
|
|
@jit(forceobj=True)
|
||
|
|
def test(arg):
|
||
|
|
if type(arg) == np.ndarray: # force object mode
|
||
|
|
if arg.ndim == 1:
|
||
|
|
result = 0.0
|
||
|
|
j = 0
|
||
|
|
for i in range(arg.shape[0]):
|
||
|
|
pass
|
||
|
|
else:
|
||
|
|
raise Exception
|
||
|
|
else:
|
||
|
|
result = 0.0
|
||
|
|
i, j = 0, 0
|
||
|
|
return result
|
||
|
|
|
||
|
|
arg = np.arange(10)
|
||
|
|
self.assertEqual(test.py_func(arg), test(arg))
|
||
|
|
|
||
|
|
def test_conditionally_defined_in_loop(self):
|
||
|
|
from numba import jit
|
||
|
|
@jit(forceobj=True)
|
||
|
|
def test():
|
||
|
|
x = 5
|
||
|
|
y = 0
|
||
|
|
for i in range(2):
|
||
|
|
if i > 0:
|
||
|
|
x = 6
|
||
|
|
y += x
|
||
|
|
return y, x
|
||
|
|
|
||
|
|
self.assertEqual(test.py_func(), test())
|
||
|
|
self.assert_has_lifted(test, loopcount=1)
|
||
|
|
|
||
|
|
def test_stack_offset_error_when_has_no_return(self):
|
||
|
|
from numba import jit
|
||
|
|
import warnings
|
||
|
|
|
||
|
|
def pyfunc(a):
|
||
|
|
if a:
|
||
|
|
for i in range(10):
|
||
|
|
pass
|
||
|
|
|
||
|
|
with warnings.catch_warnings():
|
||
|
|
warnings.simplefilter("error")
|
||
|
|
|
||
|
|
cfunc = jit(forceobj=True)(pyfunc)
|
||
|
|
self.assertEqual(pyfunc(True), cfunc(True))
|
||
|
|
|
||
|
|
def test_variable_scope_bug(self):
|
||
|
|
"""
|
||
|
|
https://github.com/numba/numba/issues/2179
|
||
|
|
|
||
|
|
Looplifting transformation is using the wrong version of variable `h`.
|
||
|
|
"""
|
||
|
|
from numba import jit
|
||
|
|
|
||
|
|
def bar(x):
|
||
|
|
return x
|
||
|
|
|
||
|
|
def foo(x):
|
||
|
|
h = 0.
|
||
|
|
for k in range(x):
|
||
|
|
h = h + k
|
||
|
|
h = h - bar(x)
|
||
|
|
return h
|
||
|
|
|
||
|
|
cfoo = jit(forceobj=True)(foo)
|
||
|
|
self.assertEqual(foo(10), cfoo(10))
|
||
|
|
|
||
|
|
def test_recompilation_loop(self):
|
||
|
|
"""
|
||
|
|
https://github.com/numba/numba/issues/2481
|
||
|
|
"""
|
||
|
|
from numba import jit
|
||
|
|
|
||
|
|
def foo(x, y):
|
||
|
|
# slicing to make array `x` into different layout
|
||
|
|
# to cause a new compilation of the lifted loop
|
||
|
|
A = x[::y]
|
||
|
|
c = 1
|
||
|
|
for k in range(A.size):
|
||
|
|
object() # to force objectmode and looplifting
|
||
|
|
c = c * A[::-1][k] # the slice that is failing in static_getitem
|
||
|
|
return c
|
||
|
|
|
||
|
|
cfoo = jit(forceobj=True)(foo)
|
||
|
|
# First run just works
|
||
|
|
args = np.arange(10), 1
|
||
|
|
self.assertEqual(foo(*args), cfoo(*args))
|
||
|
|
# Exactly 1 lifted loop so far
|
||
|
|
self.assertEqual(len(cfoo.overloads[cfoo.signatures[0]].lifted), 1)
|
||
|
|
lifted = cfoo.overloads[cfoo.signatures[0]].lifted[0]
|
||
|
|
# The lifted loop has 1 signature
|
||
|
|
self.assertEqual(len(lifted.signatures), 1)
|
||
|
|
# Use different argument to trigger a new compilation of the lifted loop
|
||
|
|
args = np.arange(10), -1
|
||
|
|
self.assertEqual(foo(*args), cfoo(*args))
|
||
|
|
# Ensure that is really a new overload for the lifted loop
|
||
|
|
self.assertEqual(len(lifted.signatures), 2)
|
||
|
|
|
||
|
|
|
||
|
|
def test_lift_objectmode_issue_4223(self):
|
||
|
|
from numba import jit
|
||
|
|
|
||
|
|
@jit(forceobj=True)
|
||
|
|
def foo(a, b, c, d, x0, y0, n):
|
||
|
|
xs, ys = np.zeros(n), np.zeros(n)
|
||
|
|
xs[0], ys[0] = x0, y0
|
||
|
|
for i in np.arange(n-1):
|
||
|
|
xs[i+1] = np.sin(a * ys[i]) + c * np.cos(a * xs[i])
|
||
|
|
ys[i+1] = np.sin(b * xs[i]) + d * np.cos(b * ys[i])
|
||
|
|
object() # ensure object mode
|
||
|
|
return xs, ys
|
||
|
|
|
||
|
|
kwargs = dict(a=1.7, b=1.7, c=0.6, d=1.2, x0=0, y0=0, n=200)
|
||
|
|
got = foo(**kwargs)
|
||
|
|
expected = foo.py_func(**kwargs)
|
||
|
|
self.assertPreciseEqual(got[0], expected[0])
|
||
|
|
self .assertPreciseEqual(got[1], expected[1])
|
||
|
|
[lifted] = foo.overloads[foo.signatures[0]].lifted
|
||
|
|
self.assertEqual(len(lifted.nopython_signatures), 1)
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == '__main__':
|
||
|
|
unittest.main()
|