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Merged
fariedabuzaid merged 1 commit into from
Oct 9, 2025
Merged

fix configs #82

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35 changes: 17 additions & 18 deletions experiments/cifar/cifar_complementary.yaml
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Original file line number Diff line number Diff line change
@@ -1,9 +1,9 @@
---
__object__: src.explib.base.ExperimentCollection
__object__: src.usflows.explib.base.ExperimentCollection
name: fashion_ablation
experiments:
- &exp_rad_logN
__object__: src.explib.hyperopt.HyperoptExperiment
__object__: src.usflows.explib.hyperopt.HyperoptExperiment
name: cfair_full_radial_logN
skip: true
device: cuda
Expand All @@ -25,7 +25,7 @@ experiments:
"image_shape": [28, 28]
dataset: &dataset
class:
__class__: src.explib.datasets.Cifar10Split
__class__: src.usflows.explib.datasets.Cifar10Split
params:
space_to_depth_factor: 4
dataloc: /home/faried/Projects/USFlows/data/cifar10
Expand Down Expand Up @@ -68,7 +68,6 @@ experiments:
__eval__: tune.choice([3])
padding: same
kernel_size: 3
rescale_hidden: 1
normalize_layers:
__eval__: tune.choice([True])
gating:
Expand Down Expand Up @@ -97,18 +96,18 @@ experiments:
lu_transform: 0
affine_conjugation: false
base_distribution:
__object__: src.usflows.distributions.RadialDistribution
device: cuda
p:
__eval__: float("1")
loc:
__eval__: torch.zeros([48, 8, 8]).to("cuda")
norm_distribution:
__exact__:
__object__: src.usflows.distributions.LogNormal
loc:
__eval__: torch.ones([1]).to("cuda") * 6
scale:
__eval__: torch.ones([1]).to("cuda") * .35
device: cuda
__exact__:
__object__: src.usflows.distributions.RadialDistribution
device: cuda
p:
__eval__: float("1")
loc:
__eval__: torch.zeros([48, 8, 8]).to("cuda")
norm_distribution:
__object__: src.usflows.distributions.LogNormal
loc:
__eval__: torch.ones([1]).to("cuda") * 6
scale:
__eval__: torch.ones([1]).to("cuda") * .35
device: cuda

32 changes: 16 additions & 16 deletions experiments/fashion/fashion_complementary.yaml
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Original file line number Diff line number Diff line change
@@ -1,9 +1,9 @@
---
__object__: src.explib.base.ExperimentCollection
__object__: src.usflows.explib.base.ExperimentCollection
name: fashion_ablation
experiments:
- &exp_rad_logN
__object__: src.explib.hyperopt.HyperoptExperiment
__object__: src.usflows.explib.hyperopt.HyperoptExperiment
name: cfair_full_radial_logN
skip: true
device: cuda
Expand All @@ -25,7 +25,7 @@ experiments:
"image_shape": [28, 28]
dataset: &dataset
class:
__class__: src.explib.datasets.FashionMnistSplit
__class__: src.usflows.explib.datasets.FashionMnistSplit
params:
space_to_depth_factor: 4
dataloc: /home/faried/Projects/USFlows/data/fashion
Expand Down Expand Up @@ -68,7 +68,6 @@ experiments:
__eval__: tune.choice([3])
padding: same
kernel_size: 3
rescale_hidden: 1
normalize_layers:
__eval__: tune.choice([True])
gating:
Expand Down Expand Up @@ -98,17 +97,18 @@ experiments:
lu_transform: 0
affine_conjugation: false
base_distribution:
__object__: src.usflows.distributions.RadialDistribution
device: cuda
p:
__eval__: float("1")
loc:
__eval__: torch.zeros([48, 8, 8]).to("cuda")
norm_distribution:
__object__: src.usflows.distributions.LogNormal
loc:
__eval__: torch.ones([1]).to("cuda") * 6
scale:
__eval__: torch.ones([1]).to("cuda") * .35
__exact__:
__object__: src.usflows.distributions.RadialDistribution
device: cuda
p:
__eval__: float("1")
loc:
__eval__: torch.zeros([48, 8, 8]).to("cuda")
norm_distribution:
__object__: src.usflows.distributions.LogNormal
loc:
__eval__: torch.ones([1]).to("cuda") * 6
scale:
__eval__: torch.ones([1]).to("cuda") * .35
device: cuda

31 changes: 16 additions & 15 deletions experiments/mnist/mnist_complementary.yaml
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Original file line number Diff line number Diff line change
@@ -1,9 +1,9 @@
---
__object__: src.explib.base.ExperimentCollection
__object__: src.usflows.explib.base.ExperimentCollection
name: mnist_ablation
experiments:
- &exp_rad_logN
__object__: src.explib.hyperopt.HyperoptExperiment
__object__: src.usflows.explib.hyperopt.HyperoptExperiment
name: mnist_full_radial_logN
device: cuda
skip: False
Expand All @@ -24,7 +24,7 @@ experiments:
"image_shape": [28, 28]
dataset: &dataset
class:
__class__: src.explib.datasets.MnistSplit
__class__: src.usflows.explib.datasets.MnistSplit
params:
dataloc: /home/faried/Projects/USFlows/data/mnist
space_to_depth_factor: 4
Expand Down Expand Up @@ -96,16 +96,17 @@ experiments:
lu_transform: 0
affine_conjugation: false
base_distribution:
__object__: src.usflows.distributions.RadialDistribution
device: cuda
p:
__eval__: float("1")
loc:
__eval__: torch.zeros([16, 7, 7]).to("cuda")
norm_distribution:
__object__: src.usflows.distributions.LogNormal
loc:
__eval__: torch.ones([1]).to("cuda") * 6
scale:
__eval__: torch.ones([1]).to("cuda") * .35
__exact__:
__object__: src.usflows.distributions.RadialDistribution
device: cuda
p:
__eval__: float("1")
loc:
__eval__: torch.zeros([16, 7, 7]).to("cuda")
norm_distribution:
__object__: src.usflows.distributions.LogNormal
loc:
__eval__: torch.ones([1]).to("cuda") * 6
scale:
__eval__: torch.ones([1]).to("cuda") * .35
device: cuda
6 changes: 3 additions & 3 deletions experiments/mnist/mnist_digits_complementary.yaml
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Original file line number Diff line number Diff line change
@@ -1,9 +1,9 @@
---
__object__: src.explib.base.ExperimentCollection
__object__: src.usflows.explib.base.ExperimentCollection
name: mnist_gigits_logN
experiments:
- &exp_rad_logN
__object__: src.explib.hyperopt.HyperoptExperiment
__object__: src.usflows.explib.hyperopt.HyperoptExperiment
name: mnist0
device: cuda
skip: false
Expand All @@ -24,7 +24,7 @@ experiments:
"image_shape": [28, 28]
dataset: &dataset
class:
__class__: src.explib.datasets.MnistSplit
__class__: src.usflows.explib.datasets.MnistSplit
params:
dataloc: /home/faried/Projects/USFlows/data/mnist
space_to_depth_factor: 4
Expand Down
6 changes: 3 additions & 3 deletions experiments/mnist/mnist_digits_macow_complementary.yaml
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Original file line number Diff line number Diff line change
@@ -1,9 +1,9 @@
---
__object__: src.explib.base.ExperimentCollection
__object__: src.usflows.explib.base.ExperimentCollection
name: mnist_gigits_logN
experiments:
- &exp_rad_logN
__object__: src.explib.hyperopt.HyperoptExperiment
__object__: src.usflows.explib.hyperopt.HyperoptExperiment
name: mnist0
device: cuda
skip: false
Expand All @@ -24,7 +24,7 @@ experiments:
"image_shape": [28, 28]
dataset: &dataset
class:
__class__: src.explib.datasets.MnistSplit
__class__: src.usflows.explib.datasets.MnistSplit
params:
dataloc: /home/faried/Projects/USFlows/data/mnist
space_to_depth_factor: 4
Expand Down
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