diff --git a/Billiards.html b/Billiards.html index 2c2109e22..e84b22156 100644 --- a/Billiards.html +++ b/Billiards.html @@ -15203,61 +15203,35 @@

Billiards in ΦFlow + @@ -15334,7 +15308,7 @@

Billiards in ΦFlow 20 trj = iterate(physics_step, batch(t=20), ball_v, f_kwargs={'dt': .05}) ---> 21 plot(trj.geometry, animate='t') -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:242, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:242, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields) 175 def plot(*fields: Union[Field, Tensor, Geometry, list, tuple, dict], 176 lib: Union[str, PlottingLibrary] = None, 177 row_dims: DimFilter = None, @@ -15351,26 +15325,26 @@

Billiards in ΦFlow 243 overlay = data.shape.only(overlay) 244 animate = data.shape.only(animate).without(overlay) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:1734, in layout(objects, *shape) - 1730 return shape_stack(shape[0], *inner_shapes) - 1732 shape = recursive_determine_shape(objects, shape) --> 1734 return Layout(objects, shape) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:1735, in layout(objects, *shape) + 1731 return shape_stack(shape[0], *inner_shapes) + 1733 shape = recursive_determine_shape(objects, shape) +-> 1735 return Layout(objects, shape) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:961, in Layout.__init__(self, obj, stack_dim) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:961, in Layout.__init__(self, obj, stack_dim) 959 super().__init__() 960 self._obj = obj --> 961 obj_shapes = Layout._recursive_get_shapes(obj, stack_dim) 962 self._shape = shape_stack(stack_dim, *obj_shapes, stack_dim_first=True) 963 self._stack_dim = stack_dim -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:975, in Layout._recursive_get_shapes(obj, s) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:975, in Layout._recursive_get_shapes(obj, s) 973 return shape(obj, allow_unshaped=True), 974 elif isinstance(obj, (tuple, list)): --> 975 return sum([Layout._recursive_get_shapes(o, s.after_gather({s.names[0]: i})) for i, o in enumerate(obj)], ()) 976 elif isinstance(obj, dict): 977 return sum([Layout._recursive_get_shapes(v, s.after_gather({s.names[0]: i})) for i, (k, v) in enumerate(obj.items())], ()) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:973, in Layout._recursive_get_shapes(obj, s) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:973, in Layout._recursive_get_shapes(obj, s) 970 @staticmethod 971 def _recursive_get_shapes(obj, s: Shape) -> Tuple[Shape]: 972 if not s: @@ -15378,21 +15352,21 @@

Billiards in ΦFlow 974 elif isinstance(obj, (tuple, list)): 975 return sum([Layout._recursive_get_shapes(o, s.after_gather({s.names[0]: i})) for i, o in enumerate(obj)], ()) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_shape.py:1533, in shape(obj, allow_unshaped) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_shape.py:1533, in shape(obj, allow_unshaped) 1531 return obj 1532 elif isinstance(obj, BoundDim): -> 1533 return shape(obj.obj)[obj.name] 1534 elif hasattr(obj, '__shape__'): 1535 return obj.__shape__() -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_shape.py:327, in Shape.__getitem__(self, selection) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_shape.py:327, in Shape.__getitem__(self, selection) 325 selection = [self.index(s.strip()) for s in selection.split(',')] 326 else: --> 327 selection = self.index(selection) 328 return self[selection] 329 elif isinstance(selection, Shape): -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_shape.py:185, in Shape.index(self, dim) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_shape.py:185, in Shape.index(self, dim) 183 elif isinstance(dim, str): 184 if dim not in self.names: --> 185 raise ValueError(f"Shape {self} has no dimension '{dim}'") @@ -15488,7 +15462,7 @@

Billiards in ΦFlowIn[6], line 1 ----> 1 plot(loss_function(x0=vec(x=.1, y=.5), v0=vec(x=.3, y=0))[1].t[::16].geometry, animate='t') -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:242, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:242, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields) 175 def plot(*fields: Union[Field, Tensor, Geometry, list, tuple, dict], 176 lib: Union[str, PlottingLibrary] = None, 177 row_dims: DimFilter = None, @@ -15505,26 +15479,26 @@

Billiards in ΦFlow 243 overlay = data.shape.only(overlay) 244 animate = data.shape.only(animate).without(overlay) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:1734, in layout(objects, *shape) - 1730 return shape_stack(shape[0], *inner_shapes) - 1732 shape = recursive_determine_shape(objects, shape) --> 1734 return Layout(objects, shape) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:1735, in layout(objects, *shape) + 1731 return shape_stack(shape[0], *inner_shapes) + 1733 shape = recursive_determine_shape(objects, shape) +-> 1735 return Layout(objects, shape) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:961, in Layout.__init__(self, obj, stack_dim) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:961, in Layout.__init__(self, obj, stack_dim) 959 super().__init__() 960 self._obj = obj --> 961 obj_shapes = Layout._recursive_get_shapes(obj, stack_dim) 962 self._shape = shape_stack(stack_dim, *obj_shapes, stack_dim_first=True) 963 self._stack_dim = stack_dim -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:975, in Layout._recursive_get_shapes(obj, s) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:975, in Layout._recursive_get_shapes(obj, s) 973 return shape(obj, allow_unshaped=True), 974 elif isinstance(obj, (tuple, list)): --> 975 return sum([Layout._recursive_get_shapes(o, s.after_gather({s.names[0]: i})) for i, o in enumerate(obj)], ()) 976 elif isinstance(obj, dict): 977 return sum([Layout._recursive_get_shapes(v, s.after_gather({s.names[0]: i})) for i, (k, v) in enumerate(obj.items())], ()) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:973, in Layout._recursive_get_shapes(obj, s) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:973, in Layout._recursive_get_shapes(obj, s) 970 @staticmethod 971 def _recursive_get_shapes(obj, s: Shape) -> Tuple[Shape]: 972 if not s: @@ -15532,21 +15506,21 @@

Billiards in ΦFlow 974 elif isinstance(obj, (tuple, list)): 975 return sum([Layout._recursive_get_shapes(o, s.after_gather({s.names[0]: i})) for i, o in enumerate(obj)], ()) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_shape.py:1533, in shape(obj, allow_unshaped) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_shape.py:1533, in shape(obj, allow_unshaped) 1531 return obj 1532 elif isinstance(obj, BoundDim): -> 1533 return shape(obj.obj)[obj.name] 1534 elif hasattr(obj, '__shape__'): 1535 return obj.__shape__() -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_shape.py:327, in Shape.__getitem__(self, selection) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_shape.py:327, in Shape.__getitem__(self, selection) 325 selection = [self.index(s.strip()) for s in selection.split(',')] 326 else: --> 327 selection = self.index(selection) 328 return self[selection] 329 elif isinstance(selection, Shape): -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_shape.py:185, in Shape.index(self, dim) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_shape.py:185, in Shape.index(self, dim) 183 elif isinstance(dim, str): 184 if dim not in self.names: --> 185 raise ValueError(f"Shape {self} has no dimension '{dim}'") @@ -15599,61 +15573,35 @@

Billiards in ΦFlow + @@ -15713,7 +15661,7 @@

Billiards in ΦFlow -
/opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_functional.py:628: RuntimeWarning: Using torch for gradient computation because numpy does not support jacobian()
+
/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_functional.py:628: RuntimeWarning: Using torch for gradient computation because numpy does not support jacobian()
   warnings.warn(f"Using {math.default_backend()} for gradient computation because {key.backend} does not support jacobian()", RuntimeWarning)
 

 
@@ -15734,14 +15682,14 @@ 
Billiards in ΦFlow      7     print(f"Iter={iter}  loss={loss:.3f}  x0={x0}  ∇={dx0}  v0={v0}  ∇={dv0}")
       8     x0 -= learning_rate * dx0
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_functional.py:636, in GradientFunction.__call__(self, *args, **kwargs)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_functional.py:636, in GradientFunction.__call__(self, *args, **kwargs)
     634 if key not in self.traces:
     635     self.traces[key] = self._trace_grad(key, wrt_natives)
 --> 636 native_result = self.traces[key](*natives)
     637 output_key = match_output_signature(key, self.recorded_mappings, self)
     638 jac_shape = output_key.shapes[0].non_batch  # ToDo prepend this to all wrt shapes
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/backend/torch/_torch_backend.py:944, in TorchBackend.jacobian.<locals>.eval_grad(*args)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/backend/torch/_torch_backend.py:944, in TorchBackend.jacobian.<locals>.eval_grad(*args)
     941 @wraps(f)
     942 def eval_grad(*args):
     943     args, wrt_args = self._prepare_graph_inputs(args, wrt)
@@ -15749,7 +15697,7 @@ 
Billiards in ΦFlow    945     if np.prod(self.staticshape(loss)) == 1:
     946         assert loss.requires_grad, f"Failed to compute gradient because function output does not depend on any input. Inputs: {args}"
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_functional.py:615, in GradientFunction._trace_grad.<locals>.f_native(*natives)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_functional.py:615, in GradientFunction._trace_grad.<locals>.f_native(*natives)
     612     assert len(
     613         loss_shape) == 0, f"Only scalar losses are allowed when returning a native tensor but {f_name(self.f)} returned {type(loss_native).__name__} of shape {loss_shape}. For higher-dimensional values, use Φ-ML tensors instead."
     614 nest, out_tensors = disassemble_tree(result, cache=True, attr_type=value_attributes)
@@ -15757,19 +15705,19 @@ 
Billiards in ΦFlow    616 self.recorded_mappings[in_key] = SignatureKey(f_native, nest, result_shapes, specs, in_key.backend, in_key.tracing)
     617 return loss_native, result_natives
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:1845, in disassemble_tensors(tensors, expand)
-   1834 """
-   1835 Args:
-   1836     tensors: Tuple or list of Tensors.
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:1846, in disassemble_tensors(tensors, expand)
+   1835 """
+   1836 Args:
+   1837     tensors: Tuple or list of Tensors.
    (...)
-   1842         One per tensor.
-   1843 """
-   1844 tensors = [cached(t) if isinstance(t, TensorStack) or expand else t for t in tensors]
--> 1845 natives = sum([t._natives() for t in tensors], ())
-   1846 shapes = tuple([t.shape for t in tensors])
-   1847 specs = tuple([t._spec_dict() for t in tensors])
-
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:852, in Tensor._natives(self)
+   1843         One per tensor.
+   1844 """
+   1845 tensors = [cached(t) if isinstance(t, TensorStack) or expand else t for t in tensors]
+-> 1846 natives = sum([t._natives() for t in tensors], ())
+   1847 shapes = tuple([t.shape for t in tensors])
+   1848 specs = tuple([t._spec_dict() for t in tensors])
+
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_tensors.py:852, in Tensor._natives(self)
     851 def _natives(self) -> tuple:
 --> 852     raise NotImplementedError(self.__class__)
 
diff --git a/Cookbook.html b/Cookbook.html
index 4a8c1be69..11eef7717 100644
--- a/Cookbook.html
+++ b/Cookbook.html
@@ -15157,12 +15157,12 @@ 
Import for NumPy, TensorFlow
 
 
 
 
@@ -15251,7 +15251,7 @@ 
Select GPU or CPU
-
[torch device 'CPU' (CPU 'cpu') | 15990 MB | 4 processors | ]

+
[torch device 'CPU' (CPU 'cpu') | 15981 MB | 4 processors | ]

 
 
 
@@ -15350,7 +15350,7 @@ 
Sample Random Values
-
(examplesᵇ=10, vectorᶜ=x,y) 0.441 ± 0.310 (3e-02...9e-01)

+
(examplesᵇ=10, vectorᶜ=x,y) 0.591 ± 0.338 (1e-02...1e+00)

 
 
 
@@ -15400,7 +15400,7 @@ 
Slice a Tensor
-
(x=0.060, y=0.887)

+
(x=0.915, y=0.717)

 
 
 
@@ -15449,18 +15449,18 @@
+ + @@ -16311,66 +16216,795 @@

Plot Optimization Trajectories -
/tmp/ipykernel_2115/1489350838.py:9: UserWarning: bounds argument is deprecated since 2.5 and will be ignored.
+
/tmp/ipykernel_2117/1489350838.py:9: UserWarning: bounds argument is deprecated since 2.5 and will be ignored.
   segments.append(PointCloud(start, end - start, bounds=Box(x=2*PI, y=2*PI)))
 

 
+
+
 
@@ -16428,8 +17062,8 @@ 
Neural Network Training
-
Initial loss: (batchᵇ=100) 0.199 ± 0.171 (2e-04...6e-01)
-Final loss: (batchᵇ=100) 0.081 ± 0.090 (4e-05...3e-01)
+
Initial loss: (batchᵇ=100) 0.194 ± 0.140 (4e-05...4e-01)
+Final loss: (batchᵇ=100) 0.027 ± 0.030 (5e-09...9e-02)
 

 
 
diff --git a/FLIP.html b/FLIP.html
index 25f638163..885c1521a 100644
--- a/FLIP.html
+++ b/FLIP.html
@@ -15210,55 +15210,40 @@ 
Fluid-Implicit-Particle (FLI
 
 
 
+
+
+
 
 
@@ -15349,12 +15334,12 @@ 
Fluid-Implicit-Particle (FLI
 
 
 
-
+
+
 
 
@@ -15295,68 +15280,44 @@ 
Operator Splitting
-
/opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_optimize.py:631: UserWarning: Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).
+
/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_optimize.py:631: UserWarning: Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).
   warnings.warn("Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).")
-/opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_optimize.py:631: UserWarning: Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).
+/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_optimize.py:631: UserWarning: Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).
   warnings.warn("Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).")
+/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_matplotlib/_matplotlib_plots.py:167: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.
+  plt.tight_layout()  # because subplot titles can be added after figure creation
 

 
+
+
 
@@ -15400,66 +15361,42 @@ 
Operator Splitting
-
/opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_optimize.py:631: UserWarning: Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).
+
/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_optimize.py:631: UserWarning: Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).
   warnings.warn("Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).")
+/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_matplotlib/_matplotlib_plots.py:167: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.
+  plt.tight_layout()  # because subplot titles can be added after figure creation
 

 
+
+
 
@@ -15511,12 +15448,12 @@ 
Operator Splitting
+
 
@@ -15527,7 +15464,7 @@ 
Operator Splitting
-
/opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_optimize.py:631: UserWarning: Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).
+
/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_optimize.py:631: UserWarning: Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).
   warnings.warn("Possible rank deficiency detected. Matrix might be singular which can lead to convergence problems. Please specify using Solve(rank_deficiency=...).")
 

 
@@ -15572,59 +15509,3499 @@ 
Operator Splitting
+
 
@@ -15715,12 +19092,12 @@ 
Higher-Order Simulations
+
 
@@ -15741,14 +19118,14 @@ 
Higher-Order Simulations----> 5 velocity_trj, pressure_trj = iterate(rk4_step, batch(time=200), velocity0, pressure0, dt=.5, range=trange)
       6 plot(field.curl(velocity_trj.time[::2]), animate='time', same_scale=False)
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_functional.py:1300, in iterate(map_function, iterations, f_kwargs, range, measure, substeps, *x0, **f_kwargs_)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_functional.py:1300, in iterate(map_function, iterations, f_kwargs, range, measure, substeps, *x0, **f_kwargs_)
    1298 for _i in range(iterations.size):
    1299     for _sub_i in builtin_range(substeps):
 -> 1300         x = map_function(*x[:len(x0)], **f_kwargs)
    1301         x = x if isinstance(x, tuple) else (x,)
    1302         if len(x) < len(x0):
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_functional.py:308, in JitFunction.__call__(self, *args, **kwargs)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_functional.py:308, in JitFunction.__call__(self, *args, **kwargs)
     303             if len(self.traces) >= 10:
     304                 warnings.warn(f"""Φ-ML: The jit-compiled function '{f_name(self.f)}' was traced {len(self.traces)} times.
     305 Performing many traces may be slow and cause memory leaks.
@@ -15758,13 +19135,13 @@ 
Higher-Order Simulations    309             out_key = self.recorded_mappings[key][-1]
     310             buffer_config = out_key.buffer_config
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/backend/jax/_jax_backend.py:252, in JaxBackend.jit_compile.<locals>.run_jit_f(*args)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/backend/jax/_jax_backend.py:252, in JaxBackend.jit_compile.<locals>.run_jit_f(*args)
     249 def run_jit_f(*args):
     250     # print(jax.make_jaxpr(f)(*args))
     251     ML_LOGGER.debug(f"JaxBackend: running jit-compiled '{f.__name__}' with shapes {[self.shape(arg) for arg in args]} and dtypes {[self.dtype(arg) for arg in args]}")
 --> 252     return self.as_registered.call(jit_f, *args, name=f"run jit-compiled '{f.__name__}'")
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/backend/_backend.py:415, in Backend.call(self, f, name, *args)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/backend/_backend.py:415, in Backend.call(self, f, name, *args)
     406 def call(self, f: Callable, *args, name=None):
     407     """
     408     Calls `f(*args)` and returns the result.
@@ -15776,7 +19153,7 @@ 
Higher-Order Simulations[... skipping hidden 11 frame]
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_functional.py:254, in JitFunction._jit_compile.<locals>.jit_f_native(*natives)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_functional.py:254, in JitFunction._jit_compile.<locals>.jit_f_native(*natives)
     252     aux_tensors = assemble_tensors(aux_natives, aux_specs)
     253     attached_aux_args_ = assemble_tree(aux_tree, aux_tensors)
 --> 254 f_output = self.f(**kwargs, **attached_aux_args_)  # Tensor or tuple/list of Tensors
@@ -15788,19 +19165,19 @@ 
Higher-Order Simulations      2 def rk4_step(v, p, dt):
 ----> 3     return fluid.incompressible_rk4(momentum_equation, v, p, dt, pressure_order=4)
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/physics/fluid.py:335, in incompressible_rk4(pde, velocity, pressure, dt, pressure_order, pressure_solve, **pde_aux_kwargs)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/physics/fluid.py:335, in incompressible_rk4(pde, velocity, pressure, dt, pressure_order, pressure_solve, **pde_aux_kwargs)
     333 v1, p1 = velocity, pressure
     334 # PDE at current point
 --> 335 rhs1 = pde(v1, **pde_aux_kwargs) - p1.gradient(at=v1.sampled_at, order=pressure_order)
     336 v2_old = velocity + (dt / 2) * rhs1
     337 v2, delta_p = make_incompressible(v2_old, solve=pressure_solve, order=pressure_order)
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/field/_field.py:547, in Field.gradient(self, boundary, at, dims, stack_dim, order, implicit, scheme, upwind, gradient_extrapolation)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/field/_field.py:547, in Field.gradient(self, boundary, at, dims, stack_dim, order, implicit, scheme, upwind, gradient_extrapolation)
     545 """Alias for `phi.field.spatial_gradient`"""
     546 from ._field_math import spatial_gradient
 --> 547 return spatial_gradient(self, boundary=boundary, at=at, dims=dims, stack_dim=stack_dim, order=order, implicit=implicit, scheme=scheme, upwind=upwind, gradient_extrapolation=gradient_extrapolation)
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/field/_field_math.py:244, in spatial_gradient(field, boundary, at, dims, stack_dim, order, implicit, implicitness, scheme, upwind, gradient_extrapolation)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/field/_field_math.py:244, in spatial_gradient(field, boundary, at, dims, stack_dim, order, implicit, implicitness, scheme, upwind, gradient_extrapolation)
     240         assert stack_dim.name == 'vector'
     241         return stagger(field, lambda lower, upper: (upper - lower) / field.dx.vector.as_dual(), gradient_extrapolation)
     243 result_components = [
@@ -15810,7 +19187,7 @@ 
Higher-Order Simulations    248 if at == 'center':
     249     result = field.with_values(math.stack(result_components, stack_dim))
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/field/_field_math.py:409, in perform_finite_difference_operation(field, dim, differentiation_order, dx, ext, output_ext, at, order, implicit, implicitness)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/field/_field_math.py:409, in perform_finite_difference_operation(field, dim, differentiation_order, dx, ext, output_ext, at, order, implicit, implicitness)
     407     standard_mask = CenteredGrid(0, resolution=field.shape.non_batch)  # ToDo ed is this okay with batch dimensions?
     408 else:
 --> 409     standard_mask = CenteredGrid(0, resolution=field.shape.non_batch + spatial(
@@ -15851,7 +19228,7 @@ 
Further Reading
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diff --git a/Fluids_Tutorial.html b/Fluids_Tutorial.html
index 2d199cdbe..d00b6272b 100644
--- a/Fluids_Tutorial.html
+++ b/Fluids_Tutorial.html
@@ -15372,55 +15372,40 @@ 
Running the Simulation
-
----------------------------------------------------------------------------
-NoBackendFound                            Traceback (most recent call last)
-Cell In[6], line 6
-      3 velocity += buoyancy_force
-      4 velocity, _ = fluid.make_incompressible(velocity)
-----> 6 vis.plot(smoke)
+
/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_matplotlib/_matplotlib_plots.py:167: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.
+  plt.tight_layout()  # because subplot titles can be added after figure creation
+

+
+
+
+

+
+
+
+
 
 
 
@@ -15481,62 +15466,922 @@ 
Running the Simulation
 
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 

 
+
+
 
@@ -15795,65 +16640,40 @@ 
Obtaining Gradients
-
/opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/backend/torch/_torch_backend.py:800: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at ../aten/src/ATen/SparseCsrTensorImpl.cpp:53.)
+
/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/backend/torch/_torch_backend.py:800: UserWarning: Sparse CSR tensor support is in beta state. If you miss a functionality in the sparse tensor support, please submit a feature request to https://github.com/pytorch/pytorch/issues. (Triggered internally at ../aten/src/ATen/SparseCsrTensorImpl.cpp:53.)
   return torch.sparse_csr_tensor(row_pointers, column_indices, values, shape, device=values.device)
 

 
+
+
 
diff --git a/Heightmaps.html b/Heightmaps.html
index 3a8ccfcee..fe16dfe1a 100644
--- a/Heightmaps.html
+++ b/Heightmaps.html
@@ -15171,61 +15171,35 @@ 
Heightmaps
-

+
+
 
 
 
@@ -15274,54 +15248,40 @@ 
Heightmaps
-
----------------------------------------------------------------------------
-NoBackendFound                            Traceback (most recent call last)
-Cell In[3], line 2
-      1 is_inside = CenteredGrid(lambda loc: heightmap.lies_inside(loc), x=100, y=100, bounds=Box(x=2, y=2))
-----> 2 plot(is_inside)
+
/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_matplotlib/_matplotlib_plots.py:167: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.
+  plt.tight_layout()  # because subplot titles can be added after figure creation
+

+
+
+
+

+
+
+
 
 
 
@@ -15367,60 +15327,35 @@ 
Heightmaps
-

+
+
 
 
 
@@ -15475,61 +15410,35 @@ 
Heightmaps
-

+
+
 
 
 
@@ -15595,54 +15504,51 @@ 
Heightmaps
 
 ---------------------------------------------------------------------------
-NoBackendFound                            Traceback (most recent call last)
+AttributeError                            Traceback (most recent call last)
 Cell In[6], line 3
       1 points = Box(x=3, y=(-1, 1)).sample_uniform(instance(points=200))
       2 sgn_dist, delta, normal, _, face_index = heightmap.approximate_closest_surface(points)
 ----> 3 plot({'closest': [heightmap, PointCloud(points, .1 * math.vec_normalize(delta))],
       4       'normal': [heightmap, PointCloud(points, .2 * normal)]}, overlay='list', color=[0, heightmap.lies_inside(points)*2+1])
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:266, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields)
-    264 log_dims = parse_dim_order(log_dims) or ()
-    265 color = layout_pytree_node(color, wrap_leaf=True)
---> 266 color = layout_color(positioning, indices, color)
-    267 alpha = layout_pytree_node(alpha, wrap_leaf=True)
-    268 alpha = tree_map(lambda x: 1 if x is None else x, alpha)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:322, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields)
+    320     for i, f in enumerate(fields):
+    321         idx = indices[pos][i]
+--> 322         plots.plot(f, figure, axes[pos], subplots[pos], min_val, max_val, show_color_bar, color[pos][i], alpha[idx], err[idx])
+    323 plots.finalize(figure)
+    324 LAST_FIGURE[0] = figure
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:441, in layout_color(content, indices, color)
-    439         channels = channel(f).without('vector')
-    440         channel_colors = counter + math.range_tensor(channels)
---> 441         result_pos.append(math.where(cmap, wrap('cmap'), channel_colors))
-    442         counter += channels.volume * math.any(~cmap, shape)
-    443 return result
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis_base.py:382, in PlottingLibrary.plot(self, data, figure, subplot, space, *args, **kwargs)
+    380 for recipe in self.recipes:
+    381     if recipe.can_plot(data, space):
+--> 382         recipe.plot(data, figure, subplot, space, *args, **kwargs)
+    383         return
+    384 raise NotImplementedError(f"No {self.name} recipe found for {data}. Recipes: {self.recipes}")
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_ops.py:1151, in where(condition, value_true, value_false)
-   1148     result = choose_backend(c, vt, vf).where(c, vt, vf)
-   1149     return NativeTensor(result, shape)
--> 1151 return broadcast_op(inner_where, [condition, value_true, value_false])
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_matplotlib/_matplotlib_plots.py:458, in VectorCloud2D.plot(self, data, figure, subplot, space, min_val, max_val, show_color_bar, color, alpha, err)
+    456 u, v = reshaped_numpy(c_data.values.vector[dims], [vector, c_data.shape.without('vector')])
+    457 color_i = color[idx]
+--> 458 if (color[idx] == 'cmap').all:
+    459     col = _next_line_color(subplot, kind='collections')  # ToDo
+    460 elif color[idx].shape:
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_ops.py:1069, in broadcast_op(operation, tensors, iter_dims, no_return)
-   1067 iter_dims = broadcast_dims(*tensors) if iter_dims is None else iter_dims
-   1068 if len(iter_dims) == 0:
--> 1069     return operation(*tensors)
-   1070 else:
-   1071     if isinstance(iter_dims, Shape):
+AttributeError: 'bool' object has no attribute 'all'

+
+
+

+
+
+
 
 
 
@@ -15686,61 +15592,35 @@ 
Vertical Heightmaps
-

+
+
 
 
 
@@ -15793,59 +15673,41 @@ 
2D Heightmaps
 
 ---------------------------------------------------------------------------
-NoBackendFound                            Traceback (most recent call last)
+AssertionError                            Traceback (most recent call last)
 Cell In[8], line 4
       2 height = CenteredGrid(lambda pos: math.exp(-math.vec_squared(pos-1) * 3), 0, bounds['x,y'], x=10, y=10).values
       3 heightmap = geom.Heightmap(height, bounds, max_dist=.1)
 ----> 4 show(heightmap)
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:58, in show(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:58, in show(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields)
      56 kwargs = locals()
      57 del kwargs['fields']
 ---> 58 fig = plot(*fields, **kwargs)
      59 plots = get_plots_by_figure(fig)
      60 if isinstance(fig, Tensor):
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:266, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields)
-    264 log_dims = parse_dim_order(log_dims) or ()
-    265 color = layout_pytree_node(color, wrap_leaf=True)
---> 266 color = layout_color(positioning, indices, color)
-    267 alpha = layout_pytree_node(alpha, wrap_leaf=True)
-    268 alpha = tree_map(lambda x: 1 if x is None else x, alpha)
-
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:441, in layout_color(content, indices, color)
-    439         channels = channel(f).without('vector')
-    440         channel_colors = counter + math.range_tensor(channels)
---> 441         result_pos.append(math.where(cmap, wrap('cmap'), channel_colors))
-    442         counter += channels.volume * math.any(~cmap, shape)
-    443 return result
-
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_ops.py:1151, in where(condition, value_true, value_false)
-   1148     result = choose_backend(c, vt, vf).where(c, vt, vf)
-   1149     return NativeTensor(result, shape)
--> 1151 return broadcast_op(inner_where, [condition, value_true, value_false])
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:322, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields)
+    320     for i, f in enumerate(fields):
+    321         idx = indices[pos][i]
+--> 322         plots.plot(f, figure, axes[pos], subplots[pos], min_val, max_val, show_color_bar, color[pos][i], alpha[idx], err[idx])
+    323 plots.finalize(figure)
+    324 LAST_FIGURE[0] = figure
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_ops.py:1069, in broadcast_op(operation, tensors, iter_dims, no_return)
-   1067 iter_dims = broadcast_dims(*tensors) if iter_dims is None else iter_dims
-   1068 if len(iter_dims) == 0:
--> 1069     return operation(*tensors)
-   1070 else:
-   1071     if isinstance(iter_dims, Shape):
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis_base.py:382, in PlottingLibrary.plot(self, data, figure, subplot, space, *args, **kwargs)
+    380 for recipe in self.recipes:
+    381     if recipe.can_plot(data, space):
+--> 382         recipe.plot(data, figure, subplot, space, *args, **kwargs)
+    383         return
+    384 raise NotImplementedError(f"No {self.name} recipe found for {data}. Recipes: {self.recipes}")
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_ops.py:1148, in where.<locals>.inner_where(c, vt, vf)
-   1146     return c._with_values(where(c_values, vt_values, vf_values))
-   1147 shape, (c, vt, vf) = broadcastable_native_tensors(c, vt, vf)
--> 1148 result = choose_backend(c, vt, vf).where(c, vt, vf)
-   1149 return NativeTensor(result, shape)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_dash/_plotly_plots.py:494, in Scatter3D.plot(self, data, figure, subplot, space, min_val, max_val, show_color_bar, color, alpha, err)
+    492     color_i = plotly_color(color[idx].native())
+    493 if spatial(data.geometry):
+--> 494     assert spatial(data.geometry).rank == 1
+    495     xyz = math.reshaped_numpy(data[idx].points.vector[dims], [vector, data.shape.non_channel.non_spatial, spatial])
+    496     xyz_padded = [[i.tolist() + [None] for i in c] for c in xyz]
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/backend/_backend.py:1746, in choose_backend(prefer_default, *values)
-   1744             raise NoBackendFound(f"Not a native tensor {[type(v).__name__ for v in unknown_values]}")
-   1745     else:
--> 1746         raise NoBackendFound(f"Could not resolve backend for native types {[type(v).__name__ for v in values]}")
-   1747 # --- Native tensors? ---
-   1748 for backend in backends:
-
-NoBackendFound: Could not resolve backend for native types ['bool_', 'str', 'int32']

+AssertionError:
@@ -15909,60 +15771,42 @@

2D Heightmaps 
 ---------------------------------------------------------------------------
-NoBackendFound                            Traceback (most recent call last)
+AssertionError                            Traceback (most recent call last)
 Cell In[9], line 3
       1 points = bounds.sample_uniform(instance(points=200))
       2 sgn_dist, delta, normal, _, face_index = heightmap.approximate_closest_surface(points)
 ----> 3 show({'closest': [heightmap, PointCloud(points, .1 * math.vec_normalize(delta))],
       4       'normal': [heightmap, PointCloud(points, .2 * normal)]}, overlay='list', color=[0, heightmap.lies_inside(points)*2+1])
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:58, in show(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:58, in show(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields)
      56 kwargs = locals()
      57 del kwargs['fields']
 ---> 58 fig = plot(*fields, **kwargs)
      59 plots = get_plots_by_figure(fig)
      60 if isinstance(fig, Tensor):
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:266, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields)
-    264 log_dims = parse_dim_order(log_dims) or ()
-    265 color = layout_pytree_node(color, wrap_leaf=True)
---> 266 color = layout_color(positioning, indices, color)
-    267 alpha = layout_pytree_node(alpha, wrap_leaf=True)
-    268 alpha = tree_map(lambda x: 1 if x is None else x, alpha)
-
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:441, in layout_color(content, indices, color)
-    439         channels = channel(f).without('vector')
-    440         channel_colors = counter + math.range_tensor(channels)
---> 441         result_pos.append(math.where(cmap, wrap('cmap'), channel_colors))
-    442         counter += channels.volume * math.any(~cmap, shape)
-    443 return result
-
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_ops.py:1151, in where(condition, value_true, value_false)
-   1148     result = choose_backend(c, vt, vf).where(c, vt, vf)
-   1149     return NativeTensor(result, shape)
--> 1151 return broadcast_op(inner_where, [condition, value_true, value_false])
-
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_ops.py:1069, in broadcast_op(operation, tensors, iter_dims, no_return)
-   1067 iter_dims = broadcast_dims(*tensors) if iter_dims is None else iter_dims
-   1068 if len(iter_dims) == 0:
--> 1069     return operation(*tensors)
-   1070 else:
-   1071     if isinstance(iter_dims, Shape):
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:322, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields)
+    320     for i, f in enumerate(fields):
+    321         idx = indices[pos][i]
+--> 322         plots.plot(f, figure, axes[pos], subplots[pos], min_val, max_val, show_color_bar, color[pos][i], alpha[idx], err[idx])
+    323 plots.finalize(figure)
+    324 LAST_FIGURE[0] = figure
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_ops.py:1148, in where.<locals>.inner_where(c, vt, vf)
-   1146     return c._with_values(where(c_values, vt_values, vf_values))
-   1147 shape, (c, vt, vf) = broadcastable_native_tensors(c, vt, vf)
--> 1148 result = choose_backend(c, vt, vf).where(c, vt, vf)
-   1149 return NativeTensor(result, shape)
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis_base.py:382, in PlottingLibrary.plot(self, data, figure, subplot, space, *args, **kwargs)
+    380 for recipe in self.recipes:
+    381     if recipe.can_plot(data, space):
+--> 382         recipe.plot(data, figure, subplot, space, *args, **kwargs)
+    383         return
+    384 raise NotImplementedError(f"No {self.name} recipe found for {data}. Recipes: {self.recipes}")
 
-File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/backend/_backend.py:1746, in choose_backend(prefer_default, *values)
-   1744             raise NoBackendFound(f"Not a native tensor {[type(v).__name__ for v in unknown_values]}")
-   1745     else:
--> 1746         raise NoBackendFound(f"Could not resolve backend for native types {[type(v).__name__ for v in values]}")
-   1747 # --- Native tensors? ---
-   1748 for backend in backends:
+File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_dash/_plotly_plots.py:494, in Scatter3D.plot(self, data, figure, subplot, space, min_val, max_val, show_color_bar, color, alpha, err)
+    492     color_i = plotly_color(color[idx].native())
+    493 if spatial(data.geometry):
+--> 494     assert spatial(data.geometry).rank == 1
+    495     xyz = math.reshaped_numpy(data[idx].points.vector[dims], [vector, data.shape.non_channel.non_spatial, spatial])
+    496     xyz_padded = [[i.tolist() + [None] for i in c] for c in xyz]
 
-NoBackendFound: Could not resolve backend for native types ['bool_', 'str', 'int32']
+AssertionError: @@ -16029,35 +15873,35 @@

Combining Heightmaps----> 8 show({'closest': [heightmap, PointCloud(points, .1 * math.vec_normalize(delta))], 9 'normal': [heightmap, PointCloud(points, .2 * normal)]}, overlay='list', color=[0, heightmap.lies_inside(points)*2+1]) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:58, in show(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:58, in show(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields) 56 kwargs = locals() 57 del kwargs['fields'] ---> 58 fig = plot(*fields, **kwargs) 59 plots = get_plots_by_figure(fig) 60 if isinstance(fig, Tensor): -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:252, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:252, in plot(lib, row_dims, col_dims, animate, overlay, title, size, same_scale, log_dims, show_color_bar, color, alpha, err, frame_time, repeat, plt_params, max_subfigures, *fields) 250 ncols = uniform_bound(col_dims).volume 251 assert nrows * ncols <= max_subfigures, f"Too many subfigures ({nrows * ncols}) for max_subfigures={max_subfigures}. If you want to plot this many subfigures, increase the limit." --> 252 positioning, indices = layout_sub_figures(data, row_dims, col_dims, animate, overlay, 0, 0) 253 # --- Process arguments --- 254 plots = default_plots(positioning) if lib is None else get_plots(lib) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:375, in layout_sub_figures(data, row_dims, col_dims, animate, overlay, offset_row, offset_col, positioning, indices, base_index) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:375, in layout_sub_figures(data, row_dims, col_dims, animate, overlay, offset_row, offset_col, positioning, indices, base_index) 373 offset += shape(e).only(row_dims).volume 374 elif dim0.only(col_dims): --> 375 layout_sub_figures(e, row_dims, col_dims, animate, overlay, offset_row, offset_col + offset, positioning, indices, index) 376 offset += shape(e).only(col_dims).volume 377 else: -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:375, in layout_sub_figures(data, row_dims, col_dims, animate, overlay, offset_row, offset_col, positioning, indices, base_index) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:375, in layout_sub_figures(data, row_dims, col_dims, animate, overlay, offset_row, offset_col, positioning, indices, base_index) 373 offset += shape(e).only(row_dims).volume 374 elif dim0.only(col_dims): --> 375 layout_sub_figures(e, row_dims, col_dims, animate, overlay, offset_row, offset_col + offset, positioning, indices, index) 376 offset += shape(e).only(col_dims).volume 377 else: -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:362, in layout_sub_figures(data, row_dims, col_dims, animate, overlay, offset_row, offset_col, positioning, indices, base_index) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:362, in layout_sub_figures(data, row_dims, col_dims, animate, overlay, offset_row, offset_col, positioning, indices, base_index) 359 if dim0.only(overlay): 360 for overlay_index in dim0.only(overlay).meshgrid(names=True): # overlay these fields 361 # ToDo expand constants along rows/cols @@ -16065,24 +15909,24 @@

Combining Heightmaps 363 return positioning, indices 364 elif dim0.only(animate): -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/vis/_vis.py:382, in layout_sub_figures(data, row_dims, col_dims, animate, overlay, offset_row, offset_col, positioning, indices, base_index) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/vis/_vis.py:382, in layout_sub_figures(data, row_dims, col_dims, animate, overlay, offset_row, offset_col, positioning, indices, base_index) 380 # --- data must be a plottable object --- 381 data = to_field(data) --> 382 overlay = data.shape.only(overlay) 383 animate = data.shape.only(animate).without(overlay) 384 row_shape = data.shape.only(row_dims).without(animate).without(overlay) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/field/_field.py:211, in Field.shape(self) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/field/_field.py:211, in Field.shape(self) 209 return batch(self._geometry) & self.resolution & non_dual(self._values).without(self.resolution) & self._geometry.shape['vector'] 210 set_shape = self._geometry.sets[self.sampled_at] --> 211 return batch(self._geometry) & (channel(self._geometry) - 'vector') & set_shape & self._values -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_shape.py:735, in Shape.__and__(self, other) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_shape.py:735, in Shape.__and__(self, other) 733 if other is dual: 734 return concat_shapes(self, self.primal.as_dual()) --> 735 return merge_shapes(self, other) -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phiml/math/_shape.py:1926, in merge_shapes(order, allow_varying_sizes, *objs) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phiml/math/_shape.py:1926, in merge_shapes(order, allow_varying_sizes, *objs) 1924 else: 1925 if not sizes_match: -> 1926 raise IncompatibleShapes(f"Cannot merge shapes {shapes} because dimension '{dim.name}' exists with different sizes.", *shapes) diff --git a/IO_with_Scenes.html b/IO_with_Scenes.html index 2e05edb4d..4c88e86dd 100644 --- a/IO_with_Scenes.html +++ b/IO_with_Scenes.html @@ -15174,7 +15174,7 @@

Writing Data&# @@ -15290,55 +15290,40 @@

Writing Data&# + + + @@ -15445,7 +15430,7 @@

Reading Data&# @@ -15488,59 +15473,35 @@

Reading Data&# @@ -15759,7 +15722,7 @@

Introduction to Tensors in Φ @@ -15813,7 +15776,7 @@

Introduction to Tensors in Φ @@ -15844,59 +15807,35 @@

Introduction to Tensors in Φ @@ -16031,59 +15957,35 @@

Introduction to Tensors in Φ @@ -15331,61 +15318,35 @@

Sampling

+ @@ -15467,61 +15428,35 @@

Querying the Surface + diff --git a/Unstructured.html b/Unstructured.html index f489e55f7..75c8d3b06 100644 --- a/Unstructured.html +++ b/Unstructured.html @@ -15198,7 +15198,7 @@

Loading an Unstructured MeshIn[3], line 1 ----> 1 mesh = geom.load_su2("mesh_wedge_inv.su2", face_format='csc') -File /opt/hostedtoolcache/Python/3.12.6/x64/lib/python3.12/site-packages/phi/geom/_mesh.py:478, in load_su2(file_or_mesh, cell_dim, face_format) +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/geom/_mesh.py:478, in load_su2(file_or_mesh, cell_dim, face_format) 464 """ 465 Load an unstructured mesh from a `.su2` file. 466 diff --git a/data/sim_000000/batched_noise_data_000000.npz b/data/sim_000000/batched_noise_data_000000.npz index 598de0272..3c5cdaab7 100644 Binary files a/data/sim_000000/batched_noise_data_000000.npz and b/data/sim_000000/batched_noise_data_000000.npz differ diff --git a/data/sim_000000/description.json b/data/sim_000000/description.json index 1f589eb67..6403ff790 100644 --- a/data/sim_000000/description.json +++ b/data/sim_000000/description.json @@ -10,10 +10,10 @@ null ], "data": [ - 0.1056535467505455, - 0.3720528483390808, - 0.40077075362205505, - 0.9527272582054138 + 0.1267237514257431, + 0.651422381401062, + 0.710021436214447, + 0.49623769521713257 ] }, "__tensors__": [ diff --git a/data/sim_000000/noise_data_000000.npz b/data/sim_000000/noise_data_000000.npz index db0f03251..069a62bd3 100644 Binary files a/data/sim_000000/noise_data_000000.npz and b/data/sim_000000/noise_data_000000.npz differ diff --git a/data/sim_000001/batched_noise_data_000000.npz b/data/sim_000001/batched_noise_data_000000.npz index 59e2cf903..94dd44b52 100644 Binary files a/data/sim_000001/batched_noise_data_000000.npz and b/data/sim_000001/batched_noise_data_000000.npz differ diff --git a/data/sim_000001/description.json b/data/sim_000001/description.json index ab580aa23..ae9fe6de5 100644 --- a/data/sim_000001/description.json +++ b/data/sim_000001/description.json @@ -1,3 +1,3 @@ { - "smoothness": 0.1056535467505455 + "smoothness": 0.1267237514257431 } \ No newline at end of file diff --git a/data/sim_000002/batched_noise_data_000000.npz b/data/sim_000002/batched_noise_data_000000.npz index e155b4564..616c5fa87 100644 Binary files a/data/sim_000002/batched_noise_data_000000.npz and b/data/sim_000002/batched_noise_data_000000.npz differ diff --git a/data/sim_000002/description.json b/data/sim_000002/description.json index 5a242b4fe..aded1e259 100644 --- a/data/sim_000002/description.json +++ b/data/sim_000002/description.json @@ -1,3 +1,3 @@ { - "smoothness": 0.3720528483390808 + "smoothness": 0.651422381401062 } \ No newline at end of file diff --git a/data/sim_000003/batched_noise_data_000000.npz b/data/sim_000003/batched_noise_data_000000.npz index 025dafa02..a106151c0 100644 Binary files a/data/sim_000003/batched_noise_data_000000.npz and b/data/sim_000003/batched_noise_data_000000.npz differ diff --git a/data/sim_000003/description.json b/data/sim_000003/description.json index 8728e9561..8baa0d9b1 100644 --- a/data/sim_000003/description.json +++ b/data/sim_000003/description.json @@ -1,3 +1,3 @@ { - "smoothness": 0.40077075362205505 + "smoothness": 0.710021436214447 } \ No newline at end of file diff --git a/data/sim_000004/batched_noise_data_000000.npz b/data/sim_000004/batched_noise_data_000000.npz index ba19bb735..758c4544e 100644 Binary files a/data/sim_000004/batched_noise_data_000000.npz and b/data/sim_000004/batched_noise_data_000000.npz differ diff --git a/data/sim_000004/description.json b/data/sim_000004/description.json index d98468de6..a48808552 100644 --- a/data/sim_000004/description.json +++ b/data/sim_000004/description.json @@ -1,3 +1,3 @@ { - "smoothness": 0.9527272582054138 + "smoothness": 0.49623769521713257 } \ No newline at end of file diff --git a/phi/field/index.html b/phi/field/index.html index 6ab471afc..7e62ee7fb 100644 --- a/phi/field/index.html +++ b/phi/field/index.html @@ -325,7 +325,7 @@

Args

-def divergence(field: phi.field._field.Field, order=2, implicit: phiml.math._optimize.Solve = None, upwind: phi.field._field.Field = None, implicitness: int = None) ‑> CenteredGrid() at 0x7fc069b6eca0> +def divergence(field: phi.field._field.Field, order=2, implicit: phiml.math._optimize.Solve = None, upwind: phi.field._field.Field = None, implicitness: int = None) ‑> CenteredGrid() at 0x7fd5880a2ca0>

Computes the divergence of a grid using finite differences.

diff --git a/phi/physics/fluid.html b/phi/physics/fluid.html index c75aa7ce4..ff18cb7d0 100644 --- a/phi/physics/fluid.html +++ b/phi/physics/fluid.html @@ -52,7 +52,7 @@

Returns

Velocity of same type as velocity

-def boundary_push(particles: , obstacles: tuple, separation: float = 0.5) ‑>  +def boundary_push(particles: , obstacles: tuple, separation: float = 0.5) ‑> 

Enforces boundary conditions by correcting possible errors of the advection step and shifting particles out of @@ -104,7 +104,7 @@

Returns

-def make_incompressible(velocity: phi.field._field.Field, obstacles: Obstacle = (), solve: phiml.math._optimize.Solve = auto with tolerance None (rel), None (abs), max_iterations=1000, active:  = None, order: int = 2, correct_skew=False, wide_stencil: bool = None) ‑> Tuple[phi.field._field.Field, phi.field._field.Field] +def make_incompressible(velocity: phi.field._field.Field, obstacles: Obstacle = (), solve: phiml.math._optimize.Solve = auto with tolerance None (rel), None (abs), max_iterations=1000, active:  = None, order: int = 2, correct_skew=False, wide_stencil: bool = None) ‑> Tuple[phi.field._field.Field, phi.field._field.Field]

Projects the given velocity field by solving for the pressure and subtracting its spatial_gradient.