mirror of
https://github.com/exaloop/codon.git
synced 2025-06-03 15:03:52 +08:00
* Add nvptx pass * Fix spaces * Don't change name * Add runtime support * Add init call * Add more runtime functions * Add launch function * Add intrinsics * Fix codegen * Run GPU pass between general opt passes * Set data layout * Create context * Link libdevice * Add function remapping * Fix linkage * Fix libdevice link * Fix linking * Fix personality * Fix linking * Fix linking * Fix linking * Add internalize pass * Add more math conversions * Add more re-mappings * Fix conversions * Fix __str__ * Add decorator attribute for any decorator * Update kernel decorator * Fix kernel decorator * Fix kernel decorator * Fix kernel decorator * Fix kernel decorator * Remove old decorator * Fix pointer calc * Fix fill-in codegen * Fix linkage * Add comment * Update list conversion * Add more conversions * Add dict and set conversions * Add float32 type to IR/LLVM * Add float32 * Add float32 stdlib * Keep required global values in PTX module * Fix PTX module pruning * Fix malloc * Set will-return * Fix name cleanup * Fix access * Fix name cleanup * Fix function renaming * Update dimension API * Fix args * Clean up API * Move GPU transformations to end of opt pipeline * Fix alloc replacements * Fix naming * Target PTX 4.2 * Fix global renaming * Fix early return in static blocks; Add __realized__ function * Format * Add __llvm_name__ for functions * Add vector type to IR * SIMD support [wip] * Update kernel naming * Fix early returns; Fix SIMD calls * Fix kernel naming * Fix IR matcher * Remove module print * Update realloc * Add overloads for 32-bit float math ops * Add gpu.Pointer type for working with raw pointers * Add float32 conversion * Add to_gpu and from_gpu * clang-format * Add f32 reduction support to OpenMP * Fix automatic GPU class conversions * Fix conversion functions * Fix conversions * Rename self * Fix tuple conversion * Fix conversions * Fix conversions * Update PTX filename * Fix filename * Add raw function * Add GPU docs * Allow nested object conversions * Add tests (WIP) * Update SIMD * Add staticrange and statictuple loop support * SIMD updates * Add new Vec constructors * Fix UInt conversion * Fix size-0 allocs * Add more tests * Add matmul test * Rename gpu test file * Add more tests * Add alloc cache * Fix object_to_gpu * Fix frees * Fix str conversion * Fix set conversion * Fix conversions * Fix class conversion * Fix str conversion * Fix byte conversion * Fix list conversion * Fix pointer conversions * Fix conversions * Fix conversions * Update tests * Fix conversions * Fix tuple conversion * Fix tuple conversion * Fix auto conversions * Fix conversion * Fix magics * Update tests * Support GPU in JIT mode * Fix GPU+JIT * Fix kernel filename in JIT mode * Add __static_print__; Add earlyDefines; Various domination bugfixes; SimplifyContext RAII base handling * Fix global static handling * Fix float32 tests * FIx gpu module * Support OpenMP "collapse" option * Add more collapse tests * Capture generics and statics * TraitVar handling * Python exceptions / isinstance [wip; no_ci] * clang-format * Add list comparison operators * Support empty raise in IR * Add dict 'or' operator * Fix repr * Add copy module * Fix spacing * Use sm_30 * Python exceptions * TypeTrait support; Fix defaultDict * Fix earlyDefines * Add defaultdict * clang-format * Fix invalid canonicalizations * Fix empty raise * Fix copyright * Add Python numerics option * Support py-numerics in math module * Update docs * Add static Python division / modulus * Add static py numerics tests * Fix staticrange/tuple; Add KwTuple.__getitem__ * clang-format * Add gpu parameter to par * Fix globals * Don't init loop vars on loop collapse * Add par-gpu tests * Update gpu docs * Fix isinstance check * Remove invalid test * Add -libdevice to set custom path [skip ci] * Add release notes; bump version [skip ci] * Add libdevice docs [skip ci] Co-authored-by: Ibrahim Numanagić <ibrahimpasa@gmail.com>
196 lines
4.6 KiB
Python
196 lines
4.6 KiB
Python
import python
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@test
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def test_basic():
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from python import mymodule
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assert str(mymodule.multiply(3, 4)) == '12'
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test_basic()
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@test
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def test_pybridge():
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@python
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def test_pydef(n: int) -> str:
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return ''.join(map(str, range(n)))
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assert test_pydef(5) == '01234'
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test_pybridge()
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from python import mymodule
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@test
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def test_conversions():
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T = tuple[dict[str,float],tuple[int,float]]
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t = mymodule.print_args(
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(4,5),
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{'a': 3.14, 'b': 2.123},
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True,
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{'ACGT'},
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[['abc'], ['1.1', '2.2'], list[str]()]
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)
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assert T.__from_py__(t.p) == ({'a': 3.14, 'b': 2.123}, (222, 3.14))
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test_conversions()
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@test
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def test_pythrow():
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from python import mymodule.throw_exc() -> None as te
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try:
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te()
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except PyError as e:
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assert python.type(e.pytype)._getattr('__name__') + ":" + e.message == "ValueError:foo"
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return
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assert False
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test_pythrow()
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@test
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def test_pyargs():
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from python import mymodule
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assert str(mymodule.print_args_var(1, 2, 3)) == "a=1, b=2, c=3, args=(), kwargs={}"
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assert str(mymodule.print_args_var(1, z=5, b=2)) == "a=1, b=2, c=1, args=(), kwargs={'z': 5}"
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assert str(mymodule.print_args_var(1, *(1,2,3,4,5), z=5)) == "a=1, b=1, c=2, args=(3, 4, 5), kwargs={'z': 5}"
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test_pyargs()
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@test
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def test_roundtrip(x: T, T: type):
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assert T.__from_py__(x.__to_py__()) == x
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test_roundtrip(42)
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test_roundtrip(3.14)
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test_roundtrip(True)
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test_roundtrip(False)
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test_roundtrip(byte(99))
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test_roundtrip('hello world')
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test_roundtrip('')
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test_roundtrip(List[int]())
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test_roundtrip([11, 22, 33])
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test_roundtrip(Set[int]())
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test_roundtrip({11, 22, 33})
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test_roundtrip(Dict[str,int]())
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test_roundtrip({'aa': 11, 'bb': 22, 'cc': 33})
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test_roundtrip((11, 1.1, '11', [1, 1], {1}, {1: 1}))
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test_roundtrip(())
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test_roundtrip(Optional(0))
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test_roundtrip(Optional(111))
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test_roundtrip(Optional[int]())
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test_roundtrip(None)
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@test
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def test_ops():
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from python import numpy as np
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a = np.array([1, 3])
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assert str(a + 1) == '[2 4]'
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assert str(a - 1) == '[0 2]'
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assert str(a * 2) == '[2 6]'
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assert str(a @ a) == '10'
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assert str(a // 2) == '[0 1]'
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assert str(a / 2) == '[0.5 1.5]'
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assert str(a % 2) == '[1 1]'
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assert str(a ** 2) == '[1 9]'
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assert str(-a) == '[-1 -3]'
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assert str(+a) == '[1 3]'
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assert str(~a) == '[-2 -4]'
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assert str(a << 1) == '[2 6]'
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assert str(a >> 1) == '[0 1]'
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assert str(a & 2) == '[0 2]'
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assert str(a ^ 2) == '[3 1]'
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assert str(a | 2) == '[3 3]'
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assert str(a < 3) == '[ True False]'
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assert str(a <= 3) == '[ True True]'
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assert str(a == 3) == '[False True]'
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assert str(a != 3) == '[ True False]'
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assert str(a > 3) == '[False False]'
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assert str(a >= 3) == '[False True]'
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assert str(1 + a) == '[2 4]'
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assert str(1 - a) == '[ 0 -2]'
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assert str(2 * a) == '[2 6]'
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assert str(1 // a) == '[1 0]'
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assert str(2 & a) == '[0 2]'
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assert str(2 ^ a) == '[3 1]'
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assert str(2 | a) == '[3 3]'
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n = a[0]
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assert str(10 // n) == '10'
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assert str(10 / n) == '10.0'
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assert str(10 % n) == '0'
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assert str(10 ** n) == '10'
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assert str(4 << n) == '8'
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assert str(4 >> n) == '2'
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assert str(3 < a) == '[False False]'
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assert str(3 <= a) == '[False True]'
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assert str(3 == a) == '[False True]'
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assert str(3 != a) == '[ True False]'
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assert str(3 > a) == '[ True False]'
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assert str(3 >= a) == '[ True True]'
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a = np.array([1, 3])
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b = a
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a += 1
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assert str(b) == '[2 4]'
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a = np.array([1, 3])
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b = a
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a -= 1
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assert str(b) == '[0 2]'
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a = np.array([1, 3])
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b = a
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a //= 2
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assert str(b) == '[0 1]'
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a = np.array([1.0, 3.0])
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b = a
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a /= 2
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assert str(b) == '[0.5 1.5]'
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a = np.array([1, 3])
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b = a
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a %= 2
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assert str(b) == '[1 1]'
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a = np.array([1, 3])
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b = a
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a **= 2
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assert str(b) == '[1 9]'
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a = np.array([1, 3])
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b = a
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a <<= 1
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assert str(b) == '[2 6]'
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a = np.array([1, 3])
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b = a
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a >>= 1
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assert str(b) == '[0 1]'
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a = np.array([1, 3])
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b = a
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a &= 2
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assert str(b) == '[0 2]'
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a = np.array([1, 3])
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b = a
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a ^= 2
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assert str(b) == '[3 1]'
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a = np.array([1, 3])
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b = a
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a |= 2
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assert str(b) == '[3 3]'
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a = np.array([1, 3])
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n = a[-1]
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assert str(n) == '3'
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assert int(n) == 3
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assert float(n) == 3.0
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from operator import index
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assert index(n) == 3
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assert hash(n) == 3
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assert len(a) == 2
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v = list(iter(a))
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assert len(v) == 2 and v[0] == 1 and v[1] == 3
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a[-1] = 99
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assert repr(a) == 'array([ 1, 99])'
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assert bool(a[0]) == True
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assert bool(a[0] - 1) == False
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test_ops()
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