From 07ed82c131b76d5b9507a138a185651a37907d8d Mon Sep 17 00:00:00 2001 From: Faried Abu Zaid Date: Thu, 9 Oct 2025 13:19:14 +0200 Subject: [PATCH] fix configs --- experiments/cifar/cifar_complementary.yaml | 35 +++++++++---------- .../fashion/fashion_complementary.yaml | 32 ++++++++--------- experiments/mnist/mnist_complementary.yaml | 31 ++++++++-------- .../mnist/mnist_digits_complementary.yaml | 6 ++-- .../mnist_digits_macow_complementary.yaml | 6 ++-- 5 files changed, 55 insertions(+), 55 deletions(-) diff --git a/experiments/cifar/cifar_complementary.yaml b/experiments/cifar/cifar_complementary.yaml index 7bc8a9a..160bf02 100644 --- a/experiments/cifar/cifar_complementary.yaml +++ b/experiments/cifar/cifar_complementary.yaml @@ -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 @@ -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 @@ -68,7 +68,6 @@ experiments: __eval__: tune.choice([3]) padding: same kernel_size: 3 - rescale_hidden: 1 normalize_layers: __eval__: tune.choice([True]) gating: @@ -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 diff --git a/experiments/fashion/fashion_complementary.yaml b/experiments/fashion/fashion_complementary.yaml index 3c9faf9..3ecf803 100644 --- a/experiments/fashion/fashion_complementary.yaml +++ b/experiments/fashion/fashion_complementary.yaml @@ -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 @@ -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 @@ -68,7 +68,6 @@ experiments: __eval__: tune.choice([3]) padding: same kernel_size: 3 - rescale_hidden: 1 normalize_layers: __eval__: tune.choice([True]) gating: @@ -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 diff --git a/experiments/mnist/mnist_complementary.yaml b/experiments/mnist/mnist_complementary.yaml index 7f9e569..1e396f8 100644 --- a/experiments/mnist/mnist_complementary.yaml +++ b/experiments/mnist/mnist_complementary.yaml @@ -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 @@ -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 @@ -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 diff --git a/experiments/mnist/mnist_digits_complementary.yaml b/experiments/mnist/mnist_digits_complementary.yaml index 63acf9b..3c6b9fe 100644 --- a/experiments/mnist/mnist_digits_complementary.yaml +++ b/experiments/mnist/mnist_digits_complementary.yaml @@ -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 @@ -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 diff --git a/experiments/mnist/mnist_digits_macow_complementary.yaml b/experiments/mnist/mnist_digits_macow_complementary.yaml index aa15da4..57f482d 100644 --- a/experiments/mnist/mnist_digits_macow_complementary.yaml +++ b/experiments/mnist/mnist_digits_macow_complementary.yaml @@ -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 @@ -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