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ghstack-source-id: 0b2eb683c617c13449e412bb104e9442ead9a02b Pull Request resolved: #8150
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import pytest | ||
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import taichi as ti | ||
from tests import test_utils | ||
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@test_utils.test() | ||
def test_argpack_basic(): | ||
pack_type = ti.types.argpack(a=ti.i32, b=bool, c=ti.f32) | ||
pack1 = pack_type(a=1, b=False, c=2.1) | ||
pack2 = pack_type(a=2, b=True, c=2.1) | ||
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@ti.kernel | ||
def foo(pack: pack_type) -> ti.f32: | ||
tmp = 0.0 | ||
if pack.b: | ||
tmp = pack.a + pack.c | ||
else: | ||
tmp = pack.a * pack.c | ||
return tmp | ||
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assert foo(pack1) == test_utils.approx(1 * 2.1, rel=1e-3) | ||
assert foo(pack2) == test_utils.approx(2 + 2.1, rel=1e-3) | ||
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@test_utils.test() | ||
def test_argpack_multiple(): | ||
arr = ti.ndarray(dtype=ti.math.vec3, shape=(4, 4)) | ||
arr.fill([1.0, 2.0, 3.0]) | ||
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pack_type1 = ti.types.argpack(a=ti.i32, c=ti.f32) | ||
pack_type2 = ti.types.argpack(a=ti.types.ndarray(dtype=ti.math.vec3, ndim=2)) | ||
pack1 = pack_type1(a=1, c=2.1) | ||
pack2 = pack_type2(a=arr) | ||
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@ti.kernel | ||
def foo(p1: pack_type1, p2: pack_type2) -> ti.f32: | ||
tmp = p1.a * p1.c | ||
return tmp + p2.a[1, 2][1] | ||
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assert foo(pack1, pack2) == test_utils.approx(1 * 2.1 + 2.0, rel=1e-3) | ||
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@test_utils.test() | ||
def test_argpack_nested(): | ||
arr = ti.ndarray(dtype=ti.math.vec3, shape=(4, 4)) | ||
arr.fill([1.0, 2.0, 3.0]) | ||
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pack_type_inner = ti.types.argpack(a=ti.i32, b=ti.i32) | ||
pack_type = ti.types.argpack(a=ti.types.ndarray(dtype=ti.math.vec3, ndim=2), b=ti.i32, c=pack_type_inner) | ||
pack_inner = pack_type_inner(a=123, b=456) | ||
pack = pack_type(a=arr, b=233, c=pack_inner) | ||
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@ti.kernel | ||
def p(x: pack_type) -> ti.math.vec3: | ||
return x.a[2, 3] | ||
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@ti.kernel | ||
def q(x: pack_type) -> int: | ||
return x.c.a + x.c.b | ||
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@ti.kernel | ||
def h(x: pack_type) -> int: | ||
return x.b | ||
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assert p(pack) == [1.0, 2.0, 3.0] | ||
assert q(pack) == 123 + 456 | ||
assert h(pack) == 233 | ||
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@test_utils.test() | ||
def test_argpack_as_return(): | ||
pack_type = ti.types.argpack(a=ti.i32, b=bool) | ||
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with pytest.raises(ti.TaichiSyntaxError): | ||
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@ti.kernel | ||
def foo(pack: pack_type) -> pack_type: | ||
return pack | ||
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foo() | ||
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@test_utils.test() | ||
def test_argpack_as_struct_type_element(): | ||
with pytest.raises(ValueError, match="Invalid data type <ti.ArgPackType a=i32, b=u1>"): | ||
pack_type = ti.types.argpack(a=ti.i32, b=bool) | ||
struct_with_argpack_inside = ti.types.struct(element=pack_type) | ||
print(struct_with_argpack_inside) | ||
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@test_utils.test() | ||
def test_argpack_with_ndarray(): | ||
arr = ti.ndarray(dtype=ti.math.vec3, shape=(4, 4)) | ||
arr.fill([1.0, 2.0, 3.0]) | ||
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pack_type = ti.types.argpack(element=ti.types.ndarray(dtype=ti.math.vec3, ndim=2)) | ||
pack = pack_type(element=arr) | ||
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@ti.kernel | ||
def foo(pack: pack_type) -> ti.math.vec3: | ||
return pack.element[0, 0] | ||
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assert foo(pack) == [1.0, 2.0, 3.0] |