diff --git a/Cookbook.html b/Cookbook.html index fa4e4bad5..a98a1ebc0 100644 --- a/Cookbook.html +++ b/Cookbook.html @@ -15157,13 +15157,13 @@
2024-11-27 11:43:50.508194: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered +2024-11-29 12:19:12.685763: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered WARNING: All log messages before absl::InitializeLog() is called are written to STDERR -E0000 00:00:1732707830.523940 2212 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered -E0000 00:00:1732707830.528376 2212 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered -2024-11-27 11:43:50.546413: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. +E0000 00:00:1732882752.700551 2201 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered +E0000 00:00:1732882752.704978 2201 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered +2024-11-29 12:19:12.721321: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. -2024-11-27 11:43:53.096801: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:152] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303) +2024-11-29 12:19:15.127518: E external/local_xla/xla/stream_executor/cuda/cuda_driver.cc:152] failed call to cuInit: INTERNAL: CUDA error: Failed call to cuInit: UNKNOWN ERROR (303)
(examplesᵇ=10, vectorᶜ=x,y) 0.526 ± 0.242 (2e-01...9e-01)+
(examplesᵇ=10, vectorᶜ=x,y) 0.479 ± 0.299 (5e-02...1e+00)@@ -15401,7 +15401,7 @@
(x=0.182, y=0.382)
+(x=0.148, y=0.359)
@@ -15450,18 +15450,18 @@ Tensor
-(examplesᵇ=10, vectorᶜ=x,y) 0.526 ± 0.242 (2e-01...9e-01) +(examplesᵇ=10, vectorᶜ=x,y) 0.479 ± 0.299 (5e-02...1e+00) (examplesᵇ=10, vectorᶜ=x,y) -[[0.2, 0.4], - [0.5, 0.2], - [0.7, 0.2], - [0.4, 0.2], - [0.9, 0.7], +[[0.1, 0.4], + [0.9, 0.6], + [0.3, 0.5], [0.8, 0.8], - [0.7, 0.2], - [0.7, 0.7], - [0.5, 0.7], - [0.6, 0.2]] + [0.2, 1.0], + [0.0, 0.7], + [0.3, 0.1], + [0.1, 0.7], + [0.6, 0.2], + [0.4, 0.8]]@@ -15523,7 +15523,7 @@Plot a
Tensor
- @@ -15538,7 +15538,7 @@Plot a
Tensor
- @@ -15591,22 +15591,22 @@Convert a
Tensor
to NumPy -array([[0.5810306 , 0.96259916, 0.15976632, 0.28029013, 0.04148436, - 0.27014643], - [0.24405497, 0.6059382 , 0.11231261, 0.1244846 , 0.98302996, - 0.13761508], - [0.0778091 , 0.86027384, 0.25599378, 0.6867674 , 0.17486036, - 0.11246765], - [0.8144398 , 0.17774731, 0.22720683, 0.83960617, 0.267758 , - 0.6908246 ], - [0.25941116, 0.5394399 , 0.94442666, 0.4447593 , 0.9104339 , - 0.3421746 ], - [0.48688203, 0.6775957 , 0.06721067, 0.36671025, 0.7827389 , - 0.8585285 ], - [0.9425674 , 0.77893734, 0.8568892 , 0.02457893, 0.09041339, - 0.5502706 ], - [0.91840774, 0.9528888 , 0.09603143, 0.14942336, 0.44451725, - 0.29373902]], dtype=float32)+array([[0.8702306 , 0.36343908, 0.90281606, 0.93331707, 0.7571716 , + 0.9156129 ], + [0.13697088, 0.79728484, 0.92036736, 0.992155 , 0.18779278, + 0.69015735], + [0.03919011, 0.40143895, 0.05336589, 0.22442412, 0.534142 , + 0.4544071 ], + [0.09181082, 0.47487563, 0.69951355, 0.25950712, 0.9536295 , + 0.78253895], + [0.6052043 , 0.9458864 , 0.31627506, 0.53752875, 0.12467784, + 0.70595706], + [0.9285616 , 0.50783986, 0.15320218, 0.42523497, 0.0884409 , + 0.18183279], + [0.09816164, 0.09940684, 0.86734545, 0.61128455, 0.7160628 , + 0.38039738], + [0.4182762 , 0.5808763 , 0.7389804 , 0.3780526 , 0.02953649, + 0.44308382]], dtype=float32)@@ -15645,16 +15645,16 @@Convert a
Tensor
to NumPy -array([[0.5810306 , 0.96259916, 0.15976632, 0.28029013, 0.04148436, - 0.27014643, 0.24405497, 0.6059382 , 0.11231261, 0.1244846 , - 0.98302996, 0.13761508, 0.0778091 , 0.86027384, 0.25599378, - 0.6867674 , 0.17486036, 0.11246765, 0.8144398 , 0.17774731, - 0.22720683, 0.83960617, 0.267758 , 0.6908246 , 0.25941116, - 0.5394399 , 0.94442666, 0.4447593 , 0.9104339 , 0.3421746 , - 0.48688203, 0.6775957 , 0.06721067, 0.36671025, 0.7827389 , - 0.8585285 , 0.9425674 , 0.77893734, 0.8568892 , 0.02457893, - 0.09041339, 0.5502706 , 0.91840774, 0.9528888 , 0.09603143, - 0.14942336, 0.44451725, 0.29373902]], dtype=float32)+array([[0.8702306 , 0.36343908, 0.90281606, 0.93331707, 0.7571716 , + 0.9156129 , 0.13697088, 0.79728484, 0.92036736, 0.992155 , + 0.18779278, 0.69015735, 0.03919011, 0.40143895, 0.05336589, + 0.22442412, 0.534142 , 0.4544071 , 0.09181082, 0.47487563, + 0.69951355, 0.25950712, 0.9536295 , 0.78253895, 0.6052043 , + 0.9458864 , 0.31627506, 0.53752875, 0.12467784, 0.70595706, + 0.9285616 , 0.50783986, 0.15320218, 0.42523497, 0.0884409 , + 0.18183279, 0.09816164, 0.09940684, 0.86734545, 0.61128455, + 0.7160628 , 0.38039738, 0.4182762 , 0.5808763 , 0.7389804 , + 0.3780526 , 0.02953649, 0.44308382]], dtype=float32)@@ -15761,7 +15761,7 @@Construct a
CenteredGrid
- @@ -15776,7 +15776,7 @@Construct a
CenteredGrid
- @@ -15845,7 +15845,7 @@Construct a
StaggeredGrid
- @@ -15860,7 +15860,7 @@Construct a
StaggeredGrid
- @@ -16217,7 +16217,7 @@Plot Optimization Trajectories -
/tmp/ipykernel_2212/1489350838.py:9: UserWarning: bounds argument is deprecated since 2.5 and will be ignored. +/tmp/ipykernel_2201/1489350838.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)))@@ -17006,8 +17006,8 @@Neural Network Training -
Initial loss: (batchᵇ=100) 0.177 ± 0.169 (7e-04...6e-01) -Final loss: (batchᵇ=100) 0.058 ± 0.054 (1e-05...2e-01) +Initial loss: (batchᵇ=100) 0.195 ± 0.184 (2e-05...6e-01) +Final loss: (batchᵇ=100) 0.044 ± 0.042 (3e-08...1e-01)diff --git a/FLIP.html b/FLIP.html index 949d12713..cacba0f42 100644 --- a/FLIP.html +++ b/FLIP.html @@ -15334,12 +15334,12 @@Fluid-Implicit-Particle (FLI -
@@ -15539,7 +15539,7 @@Fluid-Implicit-Particle (FLI diff --git a/Fluid_Simulation.html b/Fluid_Simulation.html index 9080248e5..8b732c2f6 100644 --- a/Fluid_Simulation.html +++ b/Fluid_Simulation.html @@ -15448,12 +15448,12 @@
Operator Splitting +
@@ -19092,12 +19092,12 @@Higher-Order Simulations +
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Heightmaps¶
- diff --git a/IO_with_Scenes.html b/IO_with_Scenes.html index c7c53a278..afb480709 100644 --- a/IO_with_Scenes.html +++ b/IO_with_Scenes.html @@ -15174,7 +15174,7 @@Writing Data
-@@ -15303,7 +15303,7 @@/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/field/_scene.py:150: RuntimeWarning: Failed to copy calling script to scene during Scene.create(): [Errno 2] No such file or directory: '/tmp/ipykernel_2716/2238997793.py' +/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/field/_scene.py:150: RuntimeWarning: Failed to copy calling script to scene during Scene.create(): [Errno 2] No such file or directory: '/tmp/ipykernel_2724/2238997793.py' warnings.warn(f"Failed to copy calling script to scene during Scene.create(): {err}", RuntimeWarning)Writing Data
- @@ -15318,7 +15318,7 @@Writing Data
- @@ -15430,7 +15430,7 @@@@ -15481,7 +15481,7 @@Reading Data
-{'smoothness': 0.9424492120742798}+{'smoothness': 0.14663831889629364}Reading Data
- @@ -15496,7 +15496,7 @@Reading Data
- @@ -15564,7 +15564,7 @@@@ -15815,7 +15815,7 @@Batched Data
- @@ -15579,7 +15579,7 @@@@ -15776,7 +15776,7 @@Batched Data
- @@ -15639,7 +15639,7 @@@@ -15722,7 +15722,7 @@Batched Data
- @@ -15654,7 +15654,7 @@@@ -15869,7 +15869,7 @@Batched Data
- @@ -15696,7 +15696,7 @@@@ -15748,7 +15748,7 @@Batched Data
-(0.062, 0.207, 0.850, 0.252) along batchᵇ float64+(0.738, 0.022, 0.285, 0.865) along batchᵇ float64Batched Data
-@@ -15830,7 +15830,7 @@/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/field/_scene.py:150: RuntimeWarning: Failed to copy calling script to scene during Scene.create(): [Errno 2] No such file or directory: '/tmp/ipykernel_2716/3852168639.py' +/opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/field/_scene.py:150: RuntimeWarning: Failed to copy calling script to scene during Scene.create(): [Errno 2] No such file or directory: '/tmp/ipykernel_2724/3852168639.py' warnings.warn(f"Failed to copy calling script to scene during Scene.create(): {err}", RuntimeWarning)Batched Data
-0.06196704879403114+0.7377850413322449Batched Data @@ -15683,7 +15683,7 @@
Introduction to Tensors in Φ
--1.568199
+-2.2270474
Introduction to Tensors in Φ
--1.568199
+-2.2270474
Introduction to Tensors in Φ
-(xˢ=10) 0.446 ± 0.315 (7e-02...9e-01)+(xˢ=10) 0.436 ± 0.331 (3e-02...1e+00)Introduction to Tensors in Φ
- @@ -15830,7 +15830,7 @@Introduction to Tensors in Φ
- @@ -15895,7 +15895,7 @@Introduction to Tensors in Φ
- @@ -15910,7 +15910,7 @@Introduction to Tensors in Φ
- @@ -15965,7 +15965,7 @@Introduction to Tensors in Φ
- @@ -15980,7 +15980,7 @@Introduction to Tensors in Φ
- @@ -16036,7 +16036,7 @@Introduction to Tensors in Φ
- @@ -16051,7 +16051,7 @@Introduction to Tensors in Φ
- diff --git a/Unstructured.html b/Unstructured.html index 28e6b8b03..1e581e82d 100644 --- a/Unstructured.html +++ b/Unstructured.html @@ -15210,17 +15210,17 @@diff --git a/data/sim_000000/batched_noise_data_000000.npz b/data/sim_000000/batched_noise_data_000000.npz index 596a0aefe..236244d9d 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 035beeb8f..340a39971 100644 --- a/data/sim_000000/description.json +++ b/data/sim_000000/description.json @@ -10,10 +10,10 @@ null ], "data": [ - 0.06196704879403114, - 0.20691977441310883, - 0.8500135540962219, - 0.2519756555557251 + 0.7377850413322449, + 0.02197568118572235, + 0.2852073013782501, + 0.8647283315658569 ] }, "__tensors__": [ diff --git a/data/sim_000000/noise_data_000000.npz b/data/sim_000000/noise_data_000000.npz index 5824b87b1..611308fbc 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 0408d3626..82d3fb7bc 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 a031db12f..c72f69aa2 100644 --- a/data/sim_000001/description.json +++ b/data/sim_000001/description.json @@ -1,3 +1,3 @@ { - "smoothness": 0.06196704879403114 + "smoothness": 0.7377850413322449 } \ 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 3ebb0b3f6..640cfd841 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 41669f6ae..02369c3de 100644 --- a/data/sim_000002/description.json +++ b/data/sim_000002/description.json @@ -1,3 +1,3 @@ { - "smoothness": 0.20691977441310883 + "smoothness": 0.02197568118572235 } \ 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 2e4f10938..4b574da97 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 3ea9e76ae..5abf63928 100644 --- a/data/sim_000003/description.json +++ b/data/sim_000003/description.json @@ -1,3 +1,3 @@ { - "smoothness": 0.8500135540962219 + "smoothness": 0.2852073013782501 } \ 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 181218d0e..e2e166d49 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 2357d42b3..bf4a3bcad 100644 --- a/data/sim_000004/description.json +++ b/data/sim_000004/description.json @@ -1,3 +1,3 @@ { - "smoothness": 0.2519756555557251 + "smoothness": 0.8647283315658569 } \ No newline at end of file diff --git a/phi/field/index.html b/phi/field/index.html index 811757f07..54eaecb83 100644 --- a/phi/field/index.html +++ b/phi/field/index.html @@ -325,7 +325,7 @@Loading an Unstructured Mesh 1354 results.append(f_output) 1355 if isinstance(results[0], tuple): -File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/geom/_mesh.py:488, in load_su2(file_or_mesh, cell_dim, face_format) - 474 """ - 475 Load an unstructured mesh from a `.su2` file. - 476 +File /opt/hostedtoolcache/Python/3.12.7/x64/lib/python3.12/site-packages/phi/geom/_mesh.py:489, in load_su2(file_or_mesh, cell_dim, face_format) + 475 """ + 476 Load an unstructured mesh from a `.su2` file. + 477 (...) - 485 `Mesh` - 486 """ - 487 if isinstance(file_or_mesh, str): ---> 488 from ezmesh import import_from_file - 489 mesh = import_from_file(file_or_mesh) - 490 else: + 486 `Mesh` + 487 """ + 488 if isinstance(file_or_mesh, str): +--> 489 from ezmesh import import_from_file + 490 mesh = import_from_file(file_or_mesh) + 491 else: ModuleNotFoundError: No module named 'ezmesh'
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 0x7fd1dcc67240> +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 0x7fc178113380> Computes the divergence of a grid using finite differences.
diff --git a/phi/geom/index.html b/phi/geom/index.html index f1cb4724d..9f0b664be 100644 --- a/phi/geom/index.html +++ b/phi/geom/index.html @@ -5278,7 +5278,7 @@Args
@cached_property def _faces(self) -> Dict[str, Any]: if self.element_rank == 2: - centers, normals, areas, boundary_slices = build_faces_2d(self.vertices.center, self.elements, self.boundaries, self.periodic, self._vertex_mean, self.face_format) + centers, normals, areas, boundary_slices = build_faces(self.vertices.center, self.elements, self.boundaries, self.element_rank, self.periodic, self._vertex_mean, self.face_format) return { 'center': centers, 'normal': normals, diff --git a/phi/physics/fluid.html b/phi/physics/fluid.html index 1c8483ab3..dd3ab56ef 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:
, +def boundary_push(particles:
obstacles: tuple,
separation: float = 0.5) ‑>,
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, +def make_incompressible(velocity: phi.field._field.Field,
order: int = 2,
correct_skew=False,
wide_stencil: bool = None) ‑> Tuple[phi.field._field.Field, 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.