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test_call_ext.py
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import drjit as dr
import pytest
import re
import gc
def get_pkg(t):
with dr.detail.scoped_rtld_deepbind():
m = pytest.importorskip('call_ext')
backend = dr.backend_v(t)
if backend == dr.JitBackend.LLVM:
return m.llvm
elif backend == dr.JitBackend.CUDA:
return m.cuda
def cleanup(s):
"""Remove memory addresses and backend names from a string """
s = re.sub(r' at 0x[a-fA-F0-9]*',r'', s)
s = re.sub(r'\.llvm\.',r'.', s)
s = re.sub(r'\.cuda\.',r'.', s)
return s
@pytest.fixture(autouse=True)
def run_around_tests():
yield
dr.detail.clear_registry()
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test01_array_operations(t):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
a, b = A(), B()
# Creating objects (scalar)
BasePtr(A())
BasePtr(None)
# Creating objects (vectorial)
c = dr.zeros(BasePtr, 2)
assert(str(c) == '[None, None]')
assert c[0] is None
c = dr.full(BasePtr, a, 2)
assert cleanup(str(c)) == '[<call_ext.A object>, <call_ext.A object>]'
c = dr.full(BasePtr, b, 2)
assert cleanup(str(c)) == '[<call_ext.B object>, <call_ext.B object>]'
assert c[0] is b and c[1] is b
c[0] = a
assert cleanup(str(c)) == '[<call_ext.A object>, <call_ext.B object>]'
c = BasePtr(a)
assert cleanup(str(c)) == '[<call_ext.A object>]'
assert c[0] is a
c = BasePtr(a, b)
assert cleanup(str(c)) == '[<call_ext.A object>, <call_ext.B object>]'
assert c[0] is a and c[1] is b
c[0] = b
c[1] = a
assert cleanup(str(c)) == '[<call_ext.B object>, <call_ext.A object>]'
assert c[0] is b and c[1] is a
with pytest.raises(TypeError, match=re.escape("unsupported operand type(s) for +")):
c+c
assert dr.all(c == c)
assert dr.all((c == None) == [False, False])
assert dr.all((c == b) == [True, False])
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test02_array_call(t, symbolic):
pkg = get_pkg(t)
A, B, Base, BasePtr, APtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr, pkg.APtr
a1, a2, b = A(), A(), B()
a1.extra_value = t(11, 12, 13, 14, 15)
a1.scalar_property = 10
a2.extra_value = t(21, 22, 23, 24, 25)
a2.scalar_property = 20
c = BasePtr(a1, a1, None, a2, b, b)
xi = t(1, 2, 8, 10, 3, 4)
yi = t(5, 6, 8, 11, 7, 8)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = c.f(xi, yi)
assert dr.all(xo == t(10, 12, 0, 22, 21, 24))
assert dr.all(yo == t(-1, -2, 0, -10, 3, 4))
# We can safely make calls on instances of `A` via `APtr`
UInt32 = dr.uint32_array_t(t)
ptr_a = APtr(c)
assert dr.all(ptr_a.a_get_property() == UInt32(10, 10, 0, 20, 0, 0))
idx = UInt32([2, 3, 999, 4, 500, 4000])
assert dr.all(ptr_a.a_gather_extra_value(idx, mask=True) == t(13, 14, 0, 25, 0, 0))
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test03_array_call_masked(t, symbolic):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
a, b = A(), B()
c = BasePtr(a, a, a, b, b)
xi = t(1, 2, 8, 3, 4)
yi = t(5, 6, 8, 7, 8)
mi = dr.mask_t(t)(True, True, False, True, True)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = c.f_masked((xi, yi), mi)
assert dr.all(xo == t(10, 12, 0, 21, 24))
assert dr.all(yo == t(-1, -2, 0, 3, 4))
c.dummy()
@pytest.mark.parametrize("diff_p1", [True, False])
@pytest.mark.parametrize("diff_p2", [True, False])
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.mark.parametrize("use_mask", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test04_forward_diff(t, symbolic, use_mask, diff_p1, diff_p2):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
xi = t(1, 2, 8, 3, 4)
yi = t(5, 6, 8, 7, 8)
# Turn one element off, two different ways..
if use_mask:
mi = Mask(True, True, False, True, True)
c = BasePtr(a, a, a, b, b)
else:
mi = dr.ones(Mask, 5)
c = BasePtr(a, a, None, b, b)
if diff_p1:
dr.enable_grad(xi)
if diff_p2:
dr.enable_grad(yi)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = c.f_masked((xi, yi), mi)
assert dr.all(xo == t(10, 12, 0, 21, 24))
assert dr.all(yo == t(-1, -2, 0, 3, 4))
assert dr.grad_enabled(xo) == diff_p2
assert dr.grad_enabled(yo) == diff_p1
q, w = 0.0, 0.0
if diff_p1:
dr.set_grad(xi, dr.ones(t, 5))
q = 1.0
if diff_p2:
dr.set_grad(yi, dr.full(t, 2, 5))
w = 2.0
xg, yg = dr.forward_to(xo, yo, flags=dr.ADFlag.Default | dr.ADFlag.AllowNoGrad)
dr.schedule(xg, yg)
assert dr.all(xg == t(2*w, 2*w, 0, 3*w, 3*w))
assert dr.all(yg == t(-q, -q, 0, q, q))
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.mark.parametrize("use_mask", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test05_backward_diff(t, symbolic, use_mask):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
xi = t(1, 2, 8, 3, 4)
yi = t(5, 6, 8, 7, 8)
# Turn one element off, two different ways..
if use_mask:
mi = Mask(True, True, False, True, True)
c = BasePtr(a, a, a, b, b)
else:
mi = dr.ones(Mask, 5)
c = BasePtr(a, a, None, b, b)
dr.enable_grad(xi)
dr.enable_grad(yi)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = c.f_masked((xi, yi), mi)
dr.set_grad(xo, dr.ones(t, 5))
dr.set_grad(yo, dr.full(t, 2, 5))
xg, yg = dr.backward_to(xi, yi)
assert dr.all(xg == [-2, -2, 0, 2, 2])
assert dr.all(yg == [2, 2, 0, 3, 3])
@pytest.mark.parametrize("opaque", [True, False])
@pytest.mark.parametrize("optimize", [True, False])
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.mark.parametrize("use_mask", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test06_forward_diff_implicit(t, symbolic, use_mask, optimize, opaque):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
x = t(1, 2, 8, 3, 4)
av = t(1)
bv = t(1)
dr.enable_grad(x, av, bv)
# Turn one element off, two different ways..
if use_mask:
mi = Mask(True, True, False, True, True)
c = BasePtr(a, a, a, b, b)
else:
mi = dr.ones(Mask, 5)
c = BasePtr(a, a, None, b, b)
a.value = av * 2
b.value = bv * 4
y = x*x
if opaque:
dr.make_opaque(a.value, b.value)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
with dr.scoped_set_flag(dr.JitFlag.OptimizeCalls, optimize):
xo = c.g(y, mi)
assert dr.all(xo == t(2, 2, 0, 4*9, 4*16))
dr.set_grad(x, [1,2,3,4,5])
dr.set_grad(av, 10)
dr.set_grad(bv, 100)
xg = dr.forward_to(xo)
assert dr.all(xg == t([20, 20, 0, 9*400+24*4, 16*400+40*4]))
@pytest.mark.parametrize("opaque", [True, False])
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.mark.parametrize("optimize", [True, False])
@pytest.mark.parametrize("use_mask", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test07_backward_diff_implicit(t, symbolic, optimize, use_mask, opaque):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
x = t(1, 2, 8, 3, 4)
av = t(1)
bv = t(1)
dr.enable_grad(x, av, bv)
# Turn one element off, two different ways..
if use_mask:
mi = Mask(True, True, False, True, True)
c = BasePtr(a, a, a, b, b)
else:
mi = dr.ones(Mask, 5)
c = BasePtr(a, a, None, b, b)
a.value = av * 2
b.value = bv * 4
y = x*x
if opaque:
dr.make_opaque(a.value, b.value)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
with dr.scoped_set_flag(dr.JitFlag.OptimizeCalls, optimize):
xo = c.g(y, mi)
assert dr.all(xo == t(2, 2, 0, 4*9, 4*16))
dr.set_grad(xo, [1,2,3,4,5])
dr.backward_from(xo)
assert dr.all(dr.grad(x) == t([0, 0, 0, 96, 160]))
assert dr.all(dr.grad(av) == t([6]))
assert dr.all(dr.grad(bv) == t([464]))
@pytest.mark.parametrize("use_mask", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test08_getters(t, use_mask):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
# Turn one element off, two different ways..
if use_mask:
mi = Mask(True, True, False, True, True)
c = BasePtr(a, a, a, b, b)
else:
mi = dr.ones(Mask, 5)
c = BasePtr(a, a, None, b, b)
arr0 = c.scalar_getter(mi)
assert dr.all(arr0 == t([1, 1, 0, 2, 2]))
arr1 = c.opaque_getter(mi)
assert dr.all(arr1 == t([1, 1, 0, 2, 2]))
arr3_a, arr3_b = c.complex_getter(mi)
assert dr.all(arr3_a == t([1, 1, 0, 4, 4]))
assert dr.all(arr3_b == dr.uint32_array_t(t)([5, 5, 0, 3, 3]))
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test09_constant_getter(t, drjit_verbose, capsys):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
c = BasePtr(a, a, a, b, b)
d = c.constant_getter()
transcript = capsys.readouterr().out
assert d[0] == 123
assert transcript.count('ad_call_getter') == 1
assert transcript.count('jit_var_gather') == 0
d = c.opaque_getter()
transcript = capsys.readouterr().out
assert transcript.count('ad_call_getter') == 1
assert transcript.count('jit_var_gather') == 1
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test10_constant_getter_partial_registry(t, drjit_verbose, capsys):
pkg = get_pkg(t)
A, B, BasePtr = pkg.A, pkg.B, pkg.BasePtr
a = A()
b = B()
del a
gc.collect()
gc.collect()
c = BasePtr(b, b, b, b, b)
d = c.constant_getter()
transcript = capsys.readouterr().out
assert d[0] == 123
assert transcript.count('ad_call_getter') == 1
assert transcript.count('jit_var_gather') == 0
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test11_getter_ad_fwd(t):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
c = BasePtr(a, a, None, b, b)
dr.enable_grad(a.opaque)
dr.enable_grad(b.opaque)
dr.set_grad(a.opaque, 10)
dr.set_grad(b.opaque, 20)
arr1 = c.opaque_getter()
assert dr.grad_enabled(arr1)
assert dr.all(arr1 == t([1, 1, 0, 2, 2]))
arr1_g = dr.forward_to(arr1)
assert dr.all(arr1_g == t([10, 10, 0, 20, 20]))
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test12_getter_ad_bwd(t):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
c = BasePtr(a, a, None, b, b)
dr.enable_grad(a.opaque)
dr.enable_grad(b.opaque)
arr1 = c.opaque_getter()
arr1.grad = [1,2, 3,4,5]
dr.backward_to(a.opaque, b.opaque)
assert a.opaque.grad == 3
assert b.opaque.grad == 9
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test13_array_call_instance_expired(t):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
a, b = A(), B()
c = BasePtr(a, a, None, b, b)
del a
gc.collect()
gc.collect()
xi = t(1, 2, 8, 3, 4)
yi = t(5, 6, 8, 7, 8)
with pytest.raises(RuntimeError, match=re.escape("no longer exists")):
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, False):
xo, yo = c.f(xi, yi)
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test14_array_call_self(t, symbolic, drjit_verbose, capsys):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
a, b = A(), B()
c = BasePtr(a, a, None, b, b)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
d = c.get_self()
assert dr.all(c == d)
transcript = capsys.readouterr().out
if symbolic:
if dr.backend_v(t) == dr.JitBackend.LLVM:
assert transcript.count('%self') > 0
else:
assert transcript.count(', self;') > 0
else:
assert transcript.count('jit_var_gather') == 2
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test15_array_call_noinst(t, symbolic):
pkg = get_pkg(t)
A, B, BasePtr = pkg.A, pkg.B, pkg.BasePtr
gc.collect()
gc.collect()
d = BasePtr(None, None)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
c = BasePtr()
x = c.g(t())
assert x.state == dr.VarState.Invalid
assert len(x) == 0
y = d.g(t(1,2))
assert y.state == dr.VarState.Literal
assert len(y) == 2
a = A()
b = B()
a.value = 5
b.value =6
m = dr.mask_t(t)
e = BasePtr(a, b)
z = e.g(t(1, 2), m(False))
assert z.state == dr.VarState.Literal
@pytest.mark.parametrize("diff_p1", [True, False])
@pytest.mark.parametrize("diff_p2", [True, False])
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.mark.parametrize("use_mask", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test16_forward_diff_dispatch(t, symbolic, use_mask, diff_p1, diff_p2):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
xi = t(1, 2, 8, 3, 4)
yi = t(5, 6, 8, 7, 8)
def my_func(self, arg, mask):
return self.f_masked(arg, mask)
# Turn one element off, two different ways..
if use_mask:
mi = Mask(True, True, False, True, True)
c = BasePtr(a, a, a, b, b)
else:
mi = dr.ones(Mask, 5)
c = BasePtr(a, a, None, b, b)
if diff_p1:
dr.enable_grad(xi)
if diff_p2:
dr.enable_grad(yi)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = dr.dispatch(c, my_func, (xi, yi), mi)
assert dr.all(xo == t(10, 12, 0, 21, 24))
assert dr.all(yo == t(-1, -2, 0, 3, 4))
assert dr.grad_enabled(xo) == diff_p2
assert dr.grad_enabled(yo) == diff_p1
q, w = 0.0, 0.0
if diff_p1:
dr.set_grad(xi, dr.ones(t, 5))
q = 1.0
if diff_p2:
dr.set_grad(yi, dr.full(t, 2, 5))
w = 2.0
xg, yg = dr.forward_to(xo, yo, flags=dr.ADFlag.Default | dr.ADFlag.AllowNoGrad)
dr.schedule(xg, yg)
assert dr.all(xg == t(2*w, 2*w, 0, 3*w, 3*w))
assert dr.all(yg == t(-q, -q, 0, q, q))
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test17_dispatch(t, symbolic):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
a, b = A(), B()
c = BasePtr(a, a, None, b, b)
xi = t(1, 2, 8, 3, 4)
yi = t(5, 6, 8, 7, 8)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = pkg.dispatch_f(c, xi, yi)
assert dr.all(xo == t(10, 12, 0, 21, 24))
assert dr.all(yo == t(-1, -2, 0, 3, 4))
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test18_test_ptr(t, symbolic):
pkg = get_pkg(t)
sampler_old = pkg.Sampler(3)
sampler = pkg.Sampler(3)
assert dr.all(sampler.rng-sampler_old.rng == [0, 0, 0])
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
a, b = A(), B()
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
c = BasePtr(a, b, None)
sampler_out, value = c.sample(sampler)
assert sampler_out is sampler
diff = sampler.rng-sampler_old.rng
sampler_old.rng.state[2] = 0
sampler_old.rng.inc[2] = 0
assert dr.all(sampler.rng-sampler_old.rng == [1, 0, 0])
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test19_test_ptr_py_dispatch(t, symbolic):
pkg = get_pkg(t)
sampler_old = pkg.Sampler(3)
sampler = pkg.Sampler(3)
assert dr.all(sampler.rng-sampler_old.rng == [0, 0, 0])
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
a, b = A(), B()
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
c = BasePtr(a, b, None)
def fn(inst, sampler):
if inst is a:
return sampler, sampler.next()
else:
return sampler, t(0)
sampler_out, value = dr.dispatch(
c,
fn,
sampler
)
assert sampler_out is sampler
diff = sampler.rng-sampler_old.rng
sampler_old.rng.state[2] = 0
sampler_old.rng.inc[2] = 0
assert dr.all(sampler.rng-sampler_old.rng == [1, 0, 0])
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test20_test_ptr_py_loop(t, symbolic):
# This test is technically about loops. It is located in test_call_ext.py
# since reuses some of the infrastruture
pkg = get_pkg(t)
sampler_old = pkg.Sampler(3)
sampler = pkg.Sampler(3)
i = dr.arange(dr.int32_array_t(t), 3)
def cond(i, sampler):
return i < 3
def body(i, sampler):
i += 1
sampler.next()
return i, sampler
i, sampler = dr.while_loop((i, sampler), cond, body)
diff = sampler.rng-sampler_old.rng
assert dr.all(i == [3,3,3])
assert dr.all(diff == [3,2,1])
# Mask all elements, expect a zero-initialized return value
@pytest.mark.parametrize("opaque_mask", [True, False])
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test21_array_call_fully_masked(t, symbolic, opaque_mask):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
a, b = A(), B()
c = BasePtr(a, a, a, b, b)
xi = t(1, 2, 8, 3, 4)
yi = t(5, 6, 8, 7, 8)
mi = dr.mask_t(t)(False)
if opaque_mask:
dr.make_opaque(mi)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = c.f_masked((xi, yi), mi)
assert dr.all(xo == t(0, 0, 0, 0, 0))
assert dr.all(yo == t(0, 0, 0, 0, 0))
c.dummy()
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.mark.parametrize("opaque_mask", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test22_dispatch_fully_masked(t, symbolic, opaque_mask):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
xi = t(1, 2, 8, 3, 4)
yi = t(5, 6, 8, 7, 8)
def my_func(self, arg, mask):
return self.f_masked(arg, mask)
# Turn all element offs, two different ways..
mi = Mask(False)
if opaque_mask:
dr.make_opaque(mi)
c = BasePtr(a, a, a, b, b)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = dr.dispatch(c, my_func, (xi, yi), mi)
assert dr.all(xo == t(0, 0, 0, 0, 0))
assert dr.all(yo == t(0, 0, 0, 0, 0))
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.mark.parametrize("variant", [0, 1])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test23_rev_correctness(t, symbolic, variant):
# Check the reverse-mode derivative of a call does not overwrite
# other derivatives flowing to an input argument
pkg = get_pkg(t)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
A, B, BasePtr = pkg.A, pkg.B, pkg.BasePtr
a, b = A(), B()
c = BasePtr(a, a, b, b)
xi = t(1, 2, 3, 4)
yi = t(5, 6, 7, 8)
dr.enable_grad(xi)
dr.enable_grad(yi)
if variant == 0:
xo1 = 100 * xi
yo1 = 100 * yi
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo2, yo2 = c.f(xi, yi)
if variant == 1:
xo1 = 100 * xi
yo1 = 100 * yi
q = xo1 + xo2 + yo1 + yo2
q.grad = 1
xd, yd = dr.backward_to(xi, yi)
assert dr.all(xd==[99, 99, 101, 101])
assert dr.all(yd==[102, 102, 103, 103])
@pytest.mark.parametrize("symbolic", [False, True])
@pytest.mark.parametrize("with_evaluated_loop", [False, True])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test12_constant_broadcast(t, symbolic, with_evaluated_loop):
# When the dispatch index is scalar, the return value should broadcast
# to the size of the arguments even when they are not used.
pkg = get_pkg(t)
A, BasePtr = pkg.A, pkg.BasePtr
a = A()
a.value = t(123)
arg = t(1, 2, 8, 3, 4)
c = BasePtr(a)
def cond(out, counter):
# One iteration
return counter == 0
def body(out, counter):
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
out += c.g(arg)
counter += 1
return out, counter
out = t(0)
counter = dr.uint32_array_t(t)(0)
if with_evaluated_loop:
with dr.scoped_set_flag(dr.JitFlag.SymbolicLoops, False):
out, _ = dr.while_loop((out, counter), cond, body)
else:
out += c.g(arg)
assert dr.all(out == t(123, 123, 123, 123, 123))
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test13_constant_getter_masked(t, drjit_verbose, capsys):
pkg = get_pkg(t)
A, B, BasePtr = pkg.A, pkg.B, pkg.BasePtr
a = A()
b = B()
# Turn off some lanes
c = BasePtr(a, b, None, None, a)
d = c.constant_getter()
transcript = capsys.readouterr().out
assert transcript.count('ad_call_getter') == 1
# Output is just masked, no gather should happen
assert transcript.count('jit_var_gather') == 0
assert dr.all(d == [123, 123, 0, 0, 123])
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test14_dispatch_uneven_buckets(t, symbolic):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
xi = t(1, 2, 8, 3, 4, 5)
yi = t(5, 6, 8, 7, 8, 9)
def my_func(self, arg, active):
return self.f_masked(arg, active)
# One thread to A, two threads masked, three threads to B
c = BasePtr(a, b, b, b, b, b)
m = Mask([True, False, False, True, True, True])
# Masked case
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = dr.dispatch(c, my_func, (xi, yi), m)
assert dr.all(xo == t(10, 0, 0, 21, 24, 27))
assert dr.all(yo == t(-1, 0, 0, 3, 4, 5))
# Masked case, as keyword argument
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = dr.dispatch(c, my_func, (xi, yi), active=m)
assert dr.all(xo == t(10, 0, 0, 21, 24, 27))
assert dr.all(yo == t(-1, 0, 0, 3, 4, 5))
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test15_dispatch_scalar_mask(t, symbolic):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
xi = t(1, 2, 8, 3, 4)
yi = t(5, 6, 8, 7, 8)
def my_func(self, arg, active):
return self.f_masked(arg, active)
c = BasePtr(a, a, a, b, b)
m = True # Use a scalar mask
# Masked case
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = dr.dispatch(c, my_func, (xi, yi), m)
assert dr.all(xo == t(10, 12, 16, 21, 24))
assert dr.all(yo == t(-1, -2, -8, 3, 4))
# Masked case, as keyword argument
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = dr.dispatch(c, my_func, (xi, yi), active=m)
assert dr.all(xo == t(10, 12, 16, 21, 24))
assert dr.all(yo == t(-1, -2, -8, 3, 4))
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test16_packet_gather(t):
# Packet gathers within vcalls, tests C++ routing and LLVM pointer calculation logic for this special case
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
v = dr.arange(t, 16)
dr.enable_grad(v)
dr.eval(v)
a.value=v
c = BasePtr(a, a, a, b, b)
r = c.gather_packet(dr.uint32_array_t(t)(1, 2, 3, 4, 5))
assert(dr.all(r==[
[4, 8, 12, 0, 0],
[5, 9, 13, 0, 0],
[6, 10, 14, 0, 0],
[7, 11, 15, 0, 0]], axis=None))
dr.backward_from(r)
assert dr.all(v.grad == [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
v = dr.ones(t, 16) # Literal
dr.enable_grad(v)
a.value = v
c = BasePtr(a, a, a, b, b)
r = c.gather_packet(dr.uint32_array_t(t)(1, 2, 3, 4, 5))
assert(dr.all(r==[
[1, 1, 1, 0, 0],
[1, 1, 1, 0, 0],
[1, 1, 1, 0, 0],
[1, 1, 1, 0, 0]], axis=None))
dr.backward_from(r)
assert dr.all(v.grad == [0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test17_packet_scatter(t):
# Packet scatter within vcalls, tests C++ routing and LLVM pointer calculation logic for this special case
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
import sys
m=sys.modules[t.__module__]
a.value = dr.zeros(t, 16)
c = BasePtr(a, a, a, b, b)
v=m.Array4f([10, 11, 12, 0, 0], [101, 102, 103, 0, 0], [1001, 1002,1003, 0, 0], [10001, 10002, 10003, 0, 0])
c.scatter_packet(dr.uint32_array_t(t)(1, 2, 3, 0, 0), v)
assert dr.all(a.value == [0, 0, 0, 0, 10, 101, 1001, 10001, 11, 102, 1002, 10002, 12, 103, 1003, 10003])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test18_packet_scatter_add(t):
# Packet scatter_add within vcalls, tests C++ routing and LLVM pointer calculation logic for this special case
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
Mask = dr.mask_t(t)
a, b = A(), B()
import sys
m=sys.modules[t.__module__]
a.value = dr.ones(t, 16)
c = BasePtr(a, a, a, b, b)
v=m.Array4f([10, 11, 12, 0, 0], [101, 102, 103, 0, 0], [1001, 1002,1003, 0, 0], [10001, 10002, 10003, 0, 0])
c.scatter_add_packet(dr.uint32_array_t(t)(1, 2, 3, 0, 0), v)
assert dr.all(a.value == [1, 1, 1, 1, 11, 102, 1002, 10002, 12, 103, 1003, 10003, 13, 104, 1004, 10004])
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test19_nested_call(t, symbolic):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
a, b = A(), B()
a.value = dr.ones(t, 16)
dr.enable_grad(a.value)
U = dr.uint32_array_t(t)
xi = t(1, 2, 8, 3, 4)
yi = dr.reinterpret_array(U, BasePtr(a, a, a, a, a))
def my_func(self, xi, yi):
return self.nested(xi, yi)
c = BasePtr(a, a, a, b, b)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo = dr.dispatch(c, my_func, xi, yi)
assert dr.all(xo == xi + 1)
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test20_partial_output_eval(t, symbolic):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
a, b = A(), B()
c = BasePtr(a, a, None, b, b)
xi = t(1, 2, 8, 3, 4)
yi = t(5, 6, 8, 7, 8)
with dr.scoped_set_flag(dr.JitFlag.SymbolicCalls, symbolic):
xo, yo = c.f(xi, yi)
dr.eval(xo)
zo = xo + yo
assert dr.all(xo == t(10, 12, 0, 21, 24))
assert dr.all(zo == t(9, 10, 0, 24, 28))
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test21_reinterpret_class(t):
pkg = get_pkg(t)
A, B, BasePtr = pkg.A, pkg.B, pkg.BasePtr
a, b = A(), B()
U = dr.uint32_array_t(t)
uint32_rep = dr.reinterpret_array(U, BasePtr(a, a, a, b, b))
assert dr.all(uint32_rep == [1, 1, 1, 2, 2])
baseptr_rep = dr.reinterpret_array(BasePtr, uint32_rep)
assert isinstance(baseptr_rep, BasePtr)
@pytest.mark.parametrize("symbolic", [True, False])
@pytest.test_arrays('float32,is_diff,shape=(*)')
def test22_bounds_checking_partial_registry(t, symbolic):
with dr.scoped_set_flag(dr.JitFlag.Debug, True):
pkg = get_pkg(t)
A, B, Base, BasePtr = pkg.A, pkg.B, pkg.Base, pkg.BasePtr
a1 = A()
b1 = B()
a2 = A()
b2 = B()
del a1, b1