def test_properties_dict(self):
world = World()
world.add(Fluid(Domain([16, 16])), physics=IncompressibleFlow())
world.add(Inflow(Sphere((8, 8), radius=4)))
# world.add(ConstantDensity(box[0:2, 6:10], 1.0))
world.add(Fan(Sphere((10, 8), 5), [-1, 0]))
struct.properties_dict(world.state)
def test_gradient_batch_independence(self):
session = Session(None) # Used to run the TensorFlow graph
world = World()
fluid = world.add(Fluid(Domain([40, 32], boundaries=CLOSED), buoyancy_factor=0.1, batch_size=2), physics=IncompressibleFlow())
world.add(Inflow(Sphere(center=numpy.array([[5, 4], [5, 8]]), radius=3), rate=0.2))
fluid.velocity = variable(fluid.velocity) # create TensorFlow variable
# fluid.velocity *= 0
initial_state = fluid.state # Remember the state at t=0 for later visualization
session.initialize_variables()
for frame in range(3):
world.step(dt=1.5)
target = session.run(fluid.density).data[0, ...]
loss = tf.nn.l2_loss(fluid.density.data[1, ...] - target)
self_loss = tf.nn.l2_loss(fluid.density.data[0, ...] - target)
# loss = self_loss
optim = tf.train.GradientDescentOptimizer(learning_rate=0.2).minimize(loss)
session.initialize_variables()
for optim_step in range(3):
_, loss_value, sl_value = session.run([optim, loss, self_loss])
staggered_velocity = session.run(initial_state.velocity).staggered_tensor()
numpy.testing.assert_equal(staggered_velocity[0, ...], 0)
assert numpy.all(~numpy.isnan(staggered_velocity))
def test_simpleplume(self):
world = World()
world.batch_size = 3
fluid = world.add(Fluid(Domain([16, 16])))
inflow = world.add(Inflow(Sphere((8, 8), radius=4)))
world.step()
world.step(fluid)
self.assertAlmostEqual(fluid.age, 2.0)
self.assertAlmostEqual(inflow.age, 1.0)
def test_order(self):
world = World()
order = []
world.add(
Inflow(box[0:0]),
physics=CustomPhys('Inflow', order,
[StateDependency('d', 'fan', blocking=True)]))
world.add(Fan(box[0:0], 0), physics=CustomPhys('Fan', order, []))
world.step()
numpy.testing.assert_equal(order, ['Fan', 'Inflow'])
def test_collective_step(self):
world = World()
obstacle = world.add(Obstacle(geometry_at(0)),
physics=GeometryMovement(geometry_at))
inflow = world.add(Inflow(geometry_at(0)))
inflow.physics = world.get_physics(obstacle)
static_obstacle = world.add(Obstacle(box[0:1]))
world.step()
self.assertAlmostEqual(obstacle.age, 1.0)
self.assertAlmostEqual(obstacle.geometry.center[0], 1.0)
self.assertAlmostEqual(inflow.age, 1.0)
# self.assertAlmostEqual(inflow.field.geometry.center[0], 1.0)
self.assertAlmostEqual(static_obstacle.age, 1.0)
def test_fluid_tf(self):
world = World()
fluid = Fluid(Domain([16, 16]))
world.add(fluid)
world.add(Inflow(Sphere((8, 8), radius=4)))
world.add(Obstacle(box[4:16, 0:8]))
fluid_in = fluid.copied_with(density=placeholder, velocity=placeholder)
fluid_out = world.step(fluid_in)
self.assertIsInstance(fluid_out, Fluid)
session = Session(Scene.create('data', copy_calling_script=False))
fluid = session.run(fluid_out, {fluid_in: fluid})
fluid = session.run(fluid_out, {fluid_in: fluid})
self.assertIsInstance(fluid, Fluid)
def simulate(centers):
world = World()
fluid = world.add(Fluid(Domain([5, 4], boundaries=CLOSED, box=AABox(0, [40, 32])),
buoyancy_factor=0.1,
batch_size=centers.shape[0]),
physics=IncompressibleFlow(pressure_solver=SparseCG(max_iterations=3)))
world.add(Inflow(Sphere(center=centers, radius=3), rate=0.2))
world.add(Fan(Sphere(center=centers, radius=5), acceleration=[1.0, 0]))
world.step(dt=1.5)
world.step(dt=1.5)
world.step(dt=1.5)
print()
return fluid.density.data[0, ...], fluid.velocity.unstack()[0].data[0, ...], fluid.velocity.unstack()[1].data[0, ...]
def test_cyclic_dependency(self):
world = World()
order = []
inflow = world.add(Inflow(box[0:0]))
inflow.physics = CustomPhys(
'Inflow', order, [StateDependency('d', 'fan', blocking=True)])
fan = world.add(Fan(box[0:0], 0))
fan.physics = CustomPhys(
'Fan', order, [StateDependency('d', 'inflow', blocking=True)])
try:
world.step()
self.fail('Cycle not recognized.')
except AssertionError:
pass