def test_tea_vectorized(variant_packet_rgb):
from mitsuba.core import sample_tea_float32, sample_tea_float64, UInt32
count = 100
result = sample_tea_float32(UInt32.full(1, count), UInt32.arange(count), 4)
for i in range(count):
assert result[i] == sample_tea_float32(1, i, 4)
result = sample_tea_float64(UInt32.full(1, count), UInt32.arange(count), 4)
for i in range(count):
assert result[i] == sample_tea_float64(1, i, 4)
def ravel(buf, dim=3):
idx = dim * UInt32.arange(ek.slices(buf) // dim)
if dim == 2:
return Vector2f(ek.gather(buf, idx), ek.gather(buf, idx + 1))
elif dim == 3:
return Vector3f(ek.gather(buf, idx), ek.gather(buf, idx + 1),
ek.gather(buf, idx + 2))
def _render_helper(scene, spp=None, sensor_index=0):
"""
Internally used function: render the specified Mitsuba scene and return a
floating point array containing RGB values and AOVs, if applicable
"""
from mitsuba.core import (Float, UInt32, UInt64, Vector2f,
is_monochromatic, is_rgb, is_polarized)
from mitsuba.render import ImageBlock
sensor = scene.sensors()[sensor_index]
film = sensor.film()
sampler = sensor.sampler()
film_size = film.crop_size()
if spp is None:
spp = sampler.sample_count()
total_sample_count = ek.hprod(film_size) * spp
if sampler.wavefront_size() != total_sample_count:
sampler.seed(ek.arange(UInt64, total_sample_count))
pos = ek.arange(UInt32, total_sample_count)
pos //= spp
scale = Vector2f(1.0 / film_size[0], 1.0 / film_size[1])
pos = Vector2f(Float(pos % int(film_size[0])),
Float(pos // int(film_size[0])))
pos += sampler.next_2d()
rays, weights = sensor.sample_ray_differential(
time=0,
sample1=sampler.next_1d(),
sample2=pos * scale,
sample3=0
)
spec, mask, aovs = scene.integrator().sample(scene, sampler, rays)
spec *= weights
del mask
if is_polarized:
from mitsuba.core import depolarize
spec = depolarize(spec)
if is_monochromatic:
rgb = [spec[0]]
elif is_rgb:
rgb = spec
else:
from mitsuba.core import spectrum_to_xyz, xyz_to_srgb
xyz = spectrum_to_xyz(spec, rays.wavelengths)
rgb = xyz_to_srgb(xyz)
del xyz
aovs.insert(0, Float(1.0))
for i in range(len(rgb)):
aovs.insert(i + 1, rgb[i])
del rgb, spec, weights, rays
block = ImageBlock(
size=film.crop_size(),
channel_count=len(aovs),
filter=film.reconstruction_filter(),
warn_negative=False,
warn_invalid=False,
border=False
)
block.clear()
block.put(pos, aovs)
del pos
del aovs
data = block.data()
ch = block.channel_count()
i = UInt32.arange(ek.hprod(block.size()) * (ch - 1))
weight_idx = i // (ch - 1) * ch
values_idx = (i * ch) // (ch - 1) + 1
weight = ek.gather(data, weight_idx)
values = ek.gather(data, values_idx)
return values / (weight + 1e-8)
def unravel(source, target, dim=3):
idx = UInt32.arange(ek.slices(source))
for i in range(dim):
ek.scatter(target, source[i], dim * idx + i)