diff --git a/Billiards.html b/Billiards.html index f892d4527..5df185c05 100644 --- a/Billiards.html +++ b/Billiards.html @@ -15300,7 +15300,7 @@
/tmp/ipykernel_1934/1958517515.py:4: DeprecationWarning: phiml.math.length is deprecated in favor of phiml.math.norm +/tmp/ipykernel_1935/1958517515.py:4: DeprecationWarning: phiml.math.length is deprecated in favor of phiml.math.norm dist_norm = math.vec_length(dist, eps=1e-4) # eps to avoid NaN during backprop of sqrt@@ -15580,7 +15580,7 @@Billiards in ΦFlow -
/tmp/ipykernel_1934/1958517515.py:4: DeprecationWarning: phiml.math.length is deprecated in favor of phiml.math.norm +/tmp/ipykernel_1935/1958517515.py:4: DeprecationWarning: phiml.math.length is deprecated in favor of phiml.math.norm dist_norm = math.vec_length(dist, eps=1e-4) # eps to avoid NaN during backprop of sqrt@@ -16556,7 +16556,7 @@Billiards in ΦFlow -
/tmp/ipykernel_1934/1958517515.py:4: DeprecationWarning: phiml.math.length is deprecated in favor of phiml.math.norm +/tmp/ipykernel_1935/1958517515.py:4: DeprecationWarning: phiml.math.length is deprecated in favor of phiml.math.norm dist_norm = math.vec_length(dist, eps=1e-4) # eps to avoid NaN during backprop of sqrt@@ -16651,7 +16651,7 @@Billiards in ΦFlow
/opt/hostedtoolcache/Python/3.12.8/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) -/tmp/ipykernel_1934/1958517515.py:4: DeprecationWarning: phiml.math.length is deprecated in favor of phiml.math.norm +/tmp/ipykernel_1935/1958517515.py:4: DeprecationWarning: phiml.math.length is deprecated in favor of phiml.math.norm dist_norm = math.vec_length(dist, eps=1e-4) # eps to avoid NaN during backprop of sqrtdiff --git a/Cookbook.html b/Cookbook.html index 03cac505b..350de951c 100644 --- a/Cookbook.html +++ b/Cookbook.html @@ -15157,13 +15157,13 @@Import for NumPy, TensorFlow
-@@ -15351,7 +15351,7 @@2025-01-04 13:22:54.626367: 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 +2025-01-04 13:37:07.306894: 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 00:00:1735996974.640854 2242 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered -E0000 00:00:1735996974.645259 2242 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered -2025-01-04 13:22:54.661523: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. +E0000 00:00:1735997827.321472 2176 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered +E0000 00:00:1735997827.325880 2176 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered +2025-01-04 13:37:07.341912: 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. -2025-01-04 13:22:57.032044: 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) +2025-01-04 13:37:09.713150: 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)Sample Random Values -
(examplesᵇ=10, vectorᶜ=x,y) 0.446 ± 0.263 (4e-02...9e-01)+(examplesᵇ=10, vectorᶜ=x,y) 0.587 ± 0.246 (4e-02...9e-01)@@ -15401,7 +15401,7 @@Slice a Tensor -
(x=0.521, y=0.035)
+(x=0.735, y=0.559)
@@ -15450,18 +15450,18 @@Print a
Tensor
-(examplesᵇ=10, vectorᶜ=x,y) 0.446 ± 0.263 (4e-02...9e-01) +(examplesᵇ=10, vectorᶜ=x,y) 0.587 ± 0.246 (4e-02...9e-01) (examplesᵇ=10, vectorᶜ=x,y) -[[0.5, 0.0], - [0.8, 0.2], +[[0.7, 0.6], + [0.0, 0.6], + [0.8, 0.3], + [0.4, 0.8], [0.7, 0.9], - [0.3, 0.2], - [0.4, 0.7], - [0.6, 0.0], - [0.3, 0.9], - [0.4, 0.5], - [0.4, 0.3], - [0.7, 0.1]] + [0.8, 0.6], + [0.9, 0.6], + [0.5, 0.2], + [0.8, 0.3], + [0.3, 0.9]]@@ -15523,7 +15523,7 @@Plot a
Tensor
- @@ -15538,7 +15538,7 @@Plot a
Tensor
- @@ -15591,22 +15591,22 @@Convert a
Tensor
to NumPy -array([[0.11813462, 0.33852887, 0.586897 , 0.04966831, 0.5822248 , - 0.6269636 ], - [0.68497777, 0.10762787, 0.6639436 , 0.32167923, 0.52176833, - 0.39144784], - [0.5327451 , 0.56052625, 0.9025061 , 0.3390363 , 0.24136847, - 0.48165548], - [0.46168846, 0.7197864 , 0.33480918, 0.92709696, 0.3829741 , - 0.38586944], - [0.24077576, 0.1762346 , 0.23716837, 0.46623135, 0.4330241 , - 0.53698635], - [0.3024652 , 0.22887206, 0.540303 , 0.8724412 , 0.92055964, - 0.6255222 ], - [0.09510732, 0.8370405 , 0.00505859, 0.66447496, 0.13015461, - 0.47462702], - [0.00222492, 0.00883055, 0.00508934, 0.8886481 , 0.7776589 , - 0.981269 ]], dtype=float32)+array([[0.45890176, 0.46969485, 0.630665 , 0.60979366, 0.17350727, + 0.60059035], + [0.77336365, 0.8273449 , 0.28990412, 0.5472014 , 0.36634874, + 0.9915469 ], + [0.8640622 , 0.29587066, 0.16747254, 0.25976688, 0.7601131 , + 0.26212794], + [0.47446686, 0.4500293 , 0.13545412, 0.5448348 , 0.41024113, + 0.3426029 ], + [0.9772401 , 0.87820894, 0.34084707, 0.31503183, 0.78255033, + 0.7394776 ], + [0.17223364, 0.4657156 , 0.11530668, 0.3564728 , 0.7861415 , + 0.7891149 ], + [0.42320448, 0.6579279 , 0.6501486 , 0.02011663, 0.98986346, + 0.60323185], + [0.8578743 , 0.0144105 , 0.6744581 , 0.390603 , 0.14521521, + 0.29923356]], dtype=float32)@@ -15645,16 +15645,16 @@Convert a
Tensor
to NumPy -array([[0.11813462, 0.33852887, 0.586897 , 0.04966831, 0.5822248 , - 0.6269636 , 0.68497777, 0.10762787, 0.6639436 , 0.32167923, - 0.52176833, 0.39144784, 0.5327451 , 0.56052625, 0.9025061 , - 0.3390363 , 0.24136847, 0.48165548, 0.46168846, 0.7197864 , - 0.33480918, 0.92709696, 0.3829741 , 0.38586944, 0.24077576, - 0.1762346 , 0.23716837, 0.46623135, 0.4330241 , 0.53698635, - 0.3024652 , 0.22887206, 0.540303 , 0.8724412 , 0.92055964, - 0.6255222 , 0.09510732, 0.8370405 , 0.00505859, 0.66447496, - 0.13015461, 0.47462702, 0.00222492, 0.00883055, 0.00508934, - 0.8886481 , 0.7776589 , 0.981269 ]], dtype=float32)+array([[0.45890176, 0.46969485, 0.630665 , 0.60979366, 0.17350727, + 0.60059035, 0.77336365, 0.8273449 , 0.28990412, 0.5472014 , + 0.36634874, 0.9915469 , 0.8640622 , 0.29587066, 0.16747254, + 0.25976688, 0.7601131 , 0.26212794, 0.47446686, 0.4500293 , + 0.13545412, 0.5448348 , 0.41024113, 0.3426029 , 0.9772401 , + 0.87820894, 0.34084707, 0.31503183, 0.78255033, 0.7394776 , + 0.17223364, 0.4657156 , 0.11530668, 0.3564728 , 0.7861415 , + 0.7891149 , 0.42320448, 0.6579279 , 0.6501486 , 0.02011663, + 0.98986346, 0.60323185, 0.8578743 , 0.0144105 , 0.6744581 , + 0.390603 , 0.14521521, 0.29923356]], dtype=float32)@@ -15716,7 +15716,7 @@Compute Pair-wise Distances -
/tmp/ipykernel_2242/2195475714.py:3: DeprecationWarning: phiml.math.length is deprecated in favor of phiml.math.norm +/tmp/ipykernel_2176/2195475714.py:3: DeprecationWarning: phiml.math.length is deprecated in favor of phiml.math.norm math.print(math.vec_length(distances))@@ -15772,7 +15772,7 @@Construct a
CenteredGrid
- @@ -15787,7 +15787,7 @@Construct a
CenteredGrid
- @@ -15856,7 +15856,7 @@Construct a
StaggeredGrid
- @@ -15871,7 +15871,7 @@Construct a
StaggeredGrid
- @@ -16228,7 +16228,7 @@Plot Optimization Trajectories -
/tmp/ipykernel_2242/1489350838.py:9: UserWarning: bounds argument is deprecated since 2.5 and will be ignored. +/tmp/ipykernel_2176/1489350838.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)))@@ -17017,8 +17017,8 @@Neural Network Training -
Initial loss: (batchᵇ=100) 0.246 ± 0.198 (7e-08...6e-01) -Final loss: (batchᵇ=100) 0.095 ± 0.076 (1e-05...2e-01) +Initial loss: (batchᵇ=100) 0.206 ± 0.169 (2e-05...5e-01) +Final loss: (batchᵇ=100) 0.060 ± 0.048 (6e-06...2e-01)diff --git a/Fluid_Simulation.html b/Fluid_Simulation.html index f02eebb3e..500bd05eb 100644 --- a/Fluid_Simulation.html +++ b/Fluid_Simulation.html @@ -15448,12 +15448,12 @@Operator Splitting +
@@ -19094,12 +19094,12 @@Higher-Order Simulations +
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Heightmaps¶ -
-- -/opt/hostedtoolcache/Python/3.12.8/x64/lib/python3.12/site-packages/phiml/backend/_backend.py:1679: RuntimeWarning: invalid value encountered in power - return base ** exp --- - - ---------------------------------------------------------------------------- @@ -15554,7 +15543,7 @@Heightmaps¶ @@ -15725,9 +15714,9 @@
2D Heightmaps -