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b/tutorial/phys_surr_3d/params_plot_phys_surr_3d_30000_1_2.png new file mode 100644 index 0000000..1659709 Binary files /dev/null and b/tutorial/phys_surr_3d/params_plot_phys_surr_3d_30000_1_2.png differ diff --git a/tutorial/tutorial_linfa_2d.ipynb b/tutorial/tutorial_linfa_2d.ipynb index b4035db..9882824 100644 --- a/tutorial/tutorial_linfa_2d.ipynb +++ b/tutorial/tutorial_linfa_2d.ipynb @@ -7,7 +7,7 @@ "metadata": {}, "source": [ "# LINFA Tutorial\n", - "This LINFA tutorial will guide through the definition of each of the quantities and functions of LINFA by applying LINFA to a practical problem set.\n", + "This tutorial will guide you through using the functionality of LINFA to set up inference tasks involving physics-based models. \n", "
\n", "\n", "* **What is LINFA?**\n", @@ -36,15 +36,7 @@ "\n", " * Variational inference with a neural network surrogate.\n", "\n", - "After going through this tutorial, users should be able to define and integrate their model with LINFA, and use its various features to perform inference tasks.\n", - "\n", - "In addition, we emphasize two special features available through LINFA:\n", - "\n", - "* Adaptively trained surrogate models (NoFAS module).\n", - "\n", - "* Adaptive annealing schedulers (AdaAnn module).\n", - "\n", - "They are especially useful when using computationally expensive physics-based models and difficult-to-sample posterior distributions. " + "After going through this tutorial, users should be able to define and integrate their model with LINFA, and use its features to perform inference." ] }, { @@ -57,11 +49,11 @@ "\n", "#### Background theory and examples for LINFA\n", "\n", - "* Y. Wang, F. Liu and D.E. Schiavazzi, Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models: https://www.sciencedirect.com/science/article/abs/pii/S0021999122005162\n", + "* Y. Wang, E.R. Cobian, J. Lee, F. Liu, J.D. Hauenstein, D.E. Schiavazzi, [LINFA: a Python library for variational inference with normalizing flow and annealing](https://arxiv.org/abs/2307.04675)\n", "\n", - "* E.R. Cobian, J.D. Hauenstein, F. Liu and D.E. Schiavazzi, AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation:\n", - "https://www.dl.begellhouse.com/journals/52034eb04b657aea,796f39cb1acf1296,6f85fe1149ff41d9.html?sgstd=1\n", + "* Y. Wang, F. Liu and D.E. Schiavazzi, [Variational Inference with NoFAS: Normalizing Flow with Adaptive Surrogate for Computationally Expensive Models](https://www.sciencedirect.com/science/article/abs/pii/S0021999122005162)\n", "\n", + "* E.R. Cobian, J.D. Hauenstein, F. Liu and D.E. Schiavazzi, [AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation](https://www.dl.begellhouse.com/journals/52034eb04b657aea,796f39cb1acf1296,6f85fe1149ff41d9.html?sgstd=1)\n", "\n", "#### More about LINFA library: \n", "\n", @@ -99,7 +91,7 @@ "### Problem definition\n", "* Our physics-based model **phys** consists of a simple ballistic model. We would like to compute the quantities: \n", " * $x_{1}$: *final location (m)*\n", - " * $x_{2}$: *total time of the entire trajectory motion (s)*\n", + " * $x_{2}$: *time of flight (s)*\n", " \n", " from the inputs:\n", " * $z_{1}$: *starting position (m)*\n", @@ -108,7 +100,7 @@ "\n", "The model is described by the following equations\n", "$$\n", - "x_{1} = z_{1} + \\frac{z_{2}^{2}\\,\\sin(2\\,60)}{g},\\,\\,\n", + "x_{1} = z_{1} + \\frac{z_{2}^{2}\\,\\sin(2\\cdot 60)}{g},\\,\\,\n", "x_{2} = \\frac{2\\,z_{2}\\,\\sin(60)}{g}.\n", "$$\n", "\n", @@ -123,7 +115,7 @@ "source": [ "#### Model identifiability\n", "\n", - "This model is identifiable." + "This model is **identifiable**." ] }, { @@ -135,9 +127,12 @@ "#### Implementation as a Python class\n", "\n", "* We now create a new **Phys** model class, having three member functions:\n", - " * `__init__`: A constructor.\n", - " * `genDataFile`: A member function to create synthetic observations.\n", - " * `solve_t`: A function to perform forward model evaluations.\n", + "\n", + " * `__init__` - A constructor.\n", + "\n", + " * `genDataFile` - A member function to create synthetic observations.\n", + " \n", + " * `solve_t` - A function to perform forward model evaluations.\n", "\n", "*Please refer to the comments below for additional implementation details.* " ] @@ -221,7 +216,9 @@ "### Variational inference with full model\n", "\n", "#### Definition of hyperparameters\n", - "The first step is to define all options and hyperparameters for the inference task. Additional detail for each hyperparameter can be found in the [documentation](https://linfa-vi.readthedocs.io/en/latest/content/linfa_options.html) or in the definition of the [experiment](https://github.com/desResLab/LINFA/blob/master/linfa/run_experiment.py) class." + "The first step is to define all options and hyperparameters for the inference task. \n", + "\n", + "Additional detail for each hyperparameter can be found in the [documentation](https://linfa-vi.readthedocs.io/en/latest/content/linfa_options.html) or in the definition of the [experiment](https://github.com/desResLab/LINFA/blob/master/linfa/run_experiment.py) class." ] }, { @@ -351,7 +348,6 @@ " # Compute transformation log Jacobian\n", " adjust = transform.compute_log_jacob_func(x)\n", "\n", - " batch_size = x.size(0)\n", " # Get the absolute values of the standard deviations\n", " stds = torch.abs(model.solve_t(model.defParam)) * model.stdRatio\n", " Data = torch.tensor(model.data).to(exp.device)\n", @@ -686,7 +682,7 @@ "source": [ "Notice that the model evaluation has been successfully completed by checking at the newly created **phys_nofasFree_2d** folder in our current directory.\n", "\n", - "Note also that LINFA supports a post processing script to plot the results, including \n", + "Note also that LINFA supports a post processing script to plot the results, including:\n", "\n", "* Loss profile.\n", "\n", @@ -724,9 +720,9 @@ "source": [ "### Variational inference with neural network surrogate model\n", "\n", - "LINFA enables the construction of an adaptively trained surrogate model which resolves such concerns regarding the computational cost of inference. \n", + "LINFA enables the construction of an adaptively trained surrogate model to mitigate the cost of inference with computationally expensive models. \n", "\n", - "By utilizing the surrogate model, model evaluations are replaced by interrogating the surrogate at a significantly cheaper computational cost." + "By utilizing the surrogate model, model evaluations are replaced by interrogating the surrogate at a significantly cheaper cost." ] }, { @@ -1761,7 +1757,7 @@ "id": "95a4e1ce", "metadata": {}, "source": [ - "Check model evaluation completion at the newly created **phys_surr_2d** folder in our current directory." + "Plot results in the newly created **phys_surr_2d** folder in our current directory." ] }, { @@ -1792,7 +1788,7 @@ "metadata": {}, "source": [ "#### Results\n", - "The plots below are results of variational inference with the full model and the variational inference with the neural network surrogate model combined. " + "The plots below offer a comparison between variational inference with the full model and with the neural network surrogate. " ] }, { @@ -1803,12 +1799,12 @@ "source": [ "##### Loss profile plots\n", "\n", - "The first set of plots are log-loss plots, results of the log-loss as iteration increases." + "The first set of plots represent the profile of the loss function as iterations increase." ] }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 25, "id": "08cd8616", "metadata": {}, "outputs": [ @@ -1818,20 +1814,18 @@ "Text(0.5, 1.0, 'Phys. without Surrogate')" ] }, - "execution_count": 22, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] }, - "metadata": { - "needs_background": "dark" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1874,17 +1868,19 @@ "source": [ "##### Plots of predictive posterior distribution and observations\n", "\n", - "The second set of plots are ouput estimation plots where the axis correspond to the range of the ouput estimation for each variable where the expected exact output values are:
\n", + "The second set of plots are represents the compatiblity between model outputs and observations. The output values corresponding to the true model parameters are:
\n", "\n", "$x_1$: *3.2070*
\n", "$x_2$: *0.8828*
\n", "\n", - "Within the output estimation plots, the samples are displayed as blue dots and the estimated region forms a cluster. We expect to observe the samples (blue dots) being distributed within the estimated region (red cluster). " + "Samples from the posterior predictive distribution are represented with blue dots. \n", + "\n", + "We expect to observe these samples to be compatible with the available observations (in red)." ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 26, "id": "96a027f2", "metadata": {}, "outputs": [ @@ -1894,7 +1890,7 @@ "Text(0.5, 1.0, 'Phys. without Surrogate')" ] }, - "execution_count": 23, + "execution_count": 26, "metadata": {}, "output_type": "execute_result" }, @@ -1945,7 +1941,7 @@ "source": [ "##### Plots of posterior density\n", "\n", - "The third set of plots are parameter estimation plots where the axis correspond to the range of the parameter estimation for each variable where the expected exact input parameter values are expected to be:\n", + "The third set of plots show samples from the posterior distribution. The true parameter set was initially selected as:\n", "\n", "$z_1$: *1*
\n", "$z_2$: *5*
" @@ -2012,9 +2008,7 @@ "id": "2831ac40", "metadata": {}, "source": [ - "Based on the generated plots, we've observed the physical benefits of the Surrogate model and the functionality of the Phys. model estimation utilizing LINFA.
\n", - "\n", - "Moreover, LINFA supports various model types. \n", + "As shown in the picture, use of the full model or its surrogate lead to the same posterior distribution.\n", "\n", "For more information, please refer to our [paper](https://arxiv.org/abs/2307.04675) *Appendix B. Detailed numerical benchmarks* where a few more examples are discussed." ] diff --git a/tutorial/tutorial_linfa_3d.ipynb b/tutorial/tutorial_linfa_3d.ipynb index 576610c..d6e7e6c 100644 --- a/tutorial/tutorial_linfa_3d.ipynb +++ b/tutorial/tutorial_linfa_3d.ipynb @@ -1,7 +1,6 @@ { "cells": [ { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -19,7 +18,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -52,7 +50,6 @@ ] }, { - "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ @@ -75,7 +72,44 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": 1, + "id": "225a2665", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requirement already satisfied: linfa-vi in /home/dschiava/.local/lib/python3.8/site-packages (1.1.10)\n", + "Requirement already satisfied: matplotlib==3.5.3 in /home/dschiava/.local/lib/python3.8/site-packages (from linfa-vi) (3.5.3)\n", + "Requirement already satisfied: torch==1.13.1 in /home/dschiava/.local/lib/python3.8/site-packages (from linfa-vi) (1.13.1)\n", + "Requirement already satisfied: tomli; python_version < \"3.11\" in /home/dschiava/.local/lib/python3.8/site-packages (from linfa-vi) (2.0.1)\n", + "Requirement already satisfied: numpy==1.19.5 in /home/dschiava/.local/lib/python3.8/site-packages (from linfa-vi) (1.19.5)\n", + "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/lib/python3/dist-packages (from matplotlib==3.5.3->linfa-vi) (1.0.1)\n", + "Requirement already satisfied: pillow>=6.2.0 in /home/dschiava/.local/lib/python3.8/site-packages (from matplotlib==3.5.3->linfa-vi) (9.1.1)\n", + "Requirement already satisfied: fonttools>=4.22.0 in /home/dschiava/.local/lib/python3.8/site-packages (from matplotlib==3.5.3->linfa-vi) (4.33.3)\n", + "Requirement already satisfied: pyparsing>=2.2.1 in /usr/lib/python3/dist-packages (from matplotlib==3.5.3->linfa-vi) (2.4.6)\n", + "Requirement already satisfied: packaging>=20.0 in /home/dschiava/.local/lib/python3.8/site-packages (from matplotlib==3.5.3->linfa-vi) (21.3)\n", + "Requirement already satisfied: python-dateutil>=2.7 in /usr/lib/python3/dist-packages (from matplotlib==3.5.3->linfa-vi) (2.7.3)\n", + "Requirement already satisfied: cycler>=0.10 in /usr/lib/python3/dist-packages (from matplotlib==3.5.3->linfa-vi) (0.10.0)\n", + "Requirement already satisfied: typing-extensions in /home/dschiava/.local/lib/python3.8/site-packages (from torch==1.13.1->linfa-vi) (3.10.0.2)\n", + "Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66; platform_system == \"Linux\" in /home/dschiava/.local/lib/python3.8/site-packages (from torch==1.13.1->linfa-vi) (11.10.3.66)\n", + "Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99; platform_system == \"Linux\" in /home/dschiava/.local/lib/python3.8/site-packages (from torch==1.13.1->linfa-vi) (11.7.99)\n", + "Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99; platform_system == \"Linux\" in /home/dschiava/.local/lib/python3.8/site-packages (from torch==1.13.1->linfa-vi) (11.7.99)\n", + "Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96; platform_system == \"Linux\" in /home/dschiava/.local/lib/python3.8/site-packages (from torch==1.13.1->linfa-vi) (8.5.0.96)\n", + "Requirement already satisfied: setuptools in /home/dschiava/.local/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66; platform_system == \"Linux\"->torch==1.13.1->linfa-vi) (58.1.0)\n", + "Requirement already satisfied: wheel in /home/dschiava/.local/lib/python3.8/site-packages (from nvidia-cublas-cu11==11.10.3.66; platform_system == \"Linux\"->torch==1.13.1->linfa-vi) (0.37.0)\n" + ] + } + ], + "source": [ + "! pip install linfa-vi" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c3cef289", "metadata": {}, "outputs": [], "source": [ @@ -93,8 +127,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "ed307a1b", "metadata": {}, "source": [ "### Problem definition\n", @@ -118,8 +152,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "77d8ef86", "metadata": {}, "source": [ "#### Model identifiability\n", @@ -150,8 +184,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "c4b500a2", "metadata": {}, "source": [ "#### Implementation as a Python class\n", @@ -169,7 +203,8 @@ }, { "cell_type": "code", - "execution_count": 60, + "execution_count": 3, + "id": "3337e48b", "metadata": {}, "outputs": [], "source": [ @@ -212,9 +247,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "04677002", + "id": "36c9590d", "metadata": {}, "source": [ "### Generation of synthetic data\n", @@ -226,7 +260,8 @@ }, { "cell_type": "code", - "execution_count": 61, + "execution_count": 4, + "id": "cf1f01ff", "metadata": {}, "outputs": [], "source": [ @@ -238,16 +273,16 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "06eeb4e6", "metadata": {}, "source": [ "Now that we have our model set up, we go on to our second step and check the computation of its gradient." ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "4c3f7770", "metadata": {}, "source": [ "### Check for Gradient Calculation\n", @@ -260,8 +295,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "e197d7db", "metadata": {}, "source": [ " #### Computing gradients through PyTorch\n", @@ -271,7 +306,8 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 5, + "id": "d53f618a", "metadata": {}, "outputs": [], "source": [ @@ -311,9 +347,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "22f27744", + "id": "32983739", "metadata": {}, "source": [ "We then use the class with the **Phys** model and an *identity* transformation as shown next." @@ -321,7 +356,8 @@ }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 6, + "id": "5b7f566b", "metadata": {}, "outputs": [ { @@ -380,7 +416,7 @@ "dx3 0.0 0.176560 0.008896" ] }, - "execution_count": 63, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -416,8 +452,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "4bdfbb22", "metadata": {}, "source": [ "#### Approximating gradients with finite differences\n", @@ -427,7 +463,8 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 7, + "id": "5648f7ca", "metadata": {}, "outputs": [], "source": [ @@ -442,7 +479,8 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 8, + "id": "29e2bf4b", "metadata": {}, "outputs": [ { @@ -501,7 +539,7 @@ "dx3 0.0 0.176560 0.008761" ] }, - "execution_count": 65, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -551,8 +589,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "e66b6505", "metadata": {}, "source": [ "#### Check the convergence of the finite difference approximation to the gradient\n", @@ -562,7 +600,8 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": 9, + "id": "65d84428", "metadata": {}, "outputs": [], "source": [ @@ -583,17 +622,20 @@ }, { "cell_type": "code", - "execution_count": 67, + "execution_count": 10, + "id": "d5e8ca5f", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "dark" + }, "output_type": "display_data" } ], @@ -613,16 +655,16 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "333acdd5", "metadata": {}, "source": [ "Now that we confirmed that our model successfully computes the gradients, we go on to our third step: *Model Evaluation Set Up and Applications*" ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "fbbf9157", "metadata": {}, "source": [ "### Variational inference with full model\n", @@ -633,7 +675,8 @@ }, { "cell_type": "code", - "execution_count": 68, + "execution_count": 11, + "id": "d1f6fb2e", "metadata": {}, "outputs": [], "source": [ @@ -680,8 +723,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "615d7f15", "metadata": {}, "source": [ "#### Define the transformation \n", @@ -690,21 +733,22 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 12, + "id": "f71854d9", "metadata": {}, "outputs": [], "source": [ "# Define transformation based on normalization rate\n", "trsf_info = [['identity',0.0,0.0,0.0,0.0],\n", " ['identity',0.0,0.0,0.0,0.0],\n", - " ['linear',-3,3,30.0,80.0]]\n", + " ['linear',-3,3,40.0,140.0]]\n", "trsf = Transformation(trsf_info) \n", "exp.transform = trsf" ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "b7f0304f", "metadata": {}, "source": [ "#### Model and surrogate definition\n", @@ -713,7 +757,8 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 13, + "id": "27532182", "metadata": {}, "outputs": [], "source": [ @@ -729,8 +774,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "30f8b888", "metadata": {}, "source": [ "#### Log-likelihood definiton\n" @@ -738,7 +783,8 @@ }, { "cell_type": "code", - "execution_count": 71, + "execution_count": 14, + "id": "623a6881", "metadata": {}, "outputs": [], "source": [ @@ -774,8 +820,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "39619769", "metadata": {}, "source": [ "#### Launch inference task" @@ -783,7 +829,8 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": 15, + "id": "3b2f44ee", "metadata": {}, "outputs": [ { @@ -795,261 +842,261 @@ "\n", "--- Running on device: cpu\n", "\n", - "VI NF (t=1.000): it: 100 | loss: 8.097e+03\n", - "VI NF (t=1.000): it: 200 | loss: 9.299e+03\n", - "VI NF (t=1.000): it: 300 | loss: 7.961e+03\n", - "VI NF (t=1.000): it: 400 | loss: 6.470e+03\n", - "VI NF (t=1.000): it: 500 | loss: 5.325e+03\n", - "VI NF (t=1.000): it: 600 | loss: 4.494e+03\n", - "VI NF (t=1.000): it: 700 | loss: 3.778e+03\n", - "VI NF (t=1.000): it: 800 | loss: 4.286e+02\n", - "VI NF (t=1.000): it: 900 | loss: 2.082e+02\n", - "VI NF (t=1.000): it: 1000 | loss: 1.999e+02\n", - "VI NF (t=1.000): it: 1100 | loss: 1.658e+02\n", - "VI NF (t=1.000): it: 1200 | loss: 1.270e+02\n", - "VI NF (t=1.000): it: 1300 | loss: 3.964e+02\n", - "VI NF (t=1.000): it: 1400 | loss: 1.304e+02\n", - "VI NF (t=1.000): it: 1500 | loss: 9.628e+01\n", - "VI NF (t=1.000): it: 1600 | loss: 6.986e+01\n", - "VI NF (t=1.000): it: 1700 | loss: 6.151e+01\n", - "VI NF (t=1.000): it: 1800 | loss: 2.051e+02\n", - "VI NF (t=1.000): it: 1900 | loss: 4.543e+01\n", - "VI NF (t=1.000): it: 2000 | loss: 3.550e+01\n", - "VI NF (t=1.000): it: 2100 | loss: 3.140e+01\n", - "VI NF (t=1.000): it: 2200 | loss: 2.939e+01\n", - "VI NF (t=1.000): it: 2300 | loss: 2.797e+01\n", - "VI NF (t=1.000): it: 2400 | loss: 2.869e+01\n", - "VI NF (t=1.000): it: 2500 | loss: 2.811e+01\n", - "VI NF (t=1.000): it: 2600 | loss: 2.933e+01\n", - "VI NF (t=1.000): it: 2700 | loss: 2.814e+01\n", - "VI NF (t=1.000): it: 2800 | loss: 2.975e+01\n", - "VI NF (t=1.000): it: 2900 | loss: 2.743e+01\n", - "VI NF (t=1.000): it: 3000 | loss: 2.784e+01\n", - "VI NF (t=1.000): it: 3100 | loss: 2.752e+01\n", - "VI NF (t=1.000): it: 3200 | loss: 2.789e+01\n", - "VI NF (t=1.000): it: 3300 | loss: 2.791e+01\n", - "VI NF (t=1.000): it: 3400 | loss: 2.695e+01\n", - "VI NF (t=1.000): it: 3500 | loss: 2.703e+01\n", - "VI NF (t=1.000): it: 3600 | loss: 2.766e+01\n", - "VI NF (t=1.000): it: 3700 | loss: 2.683e+01\n", - "VI NF (t=1.000): it: 3800 | loss: 2.686e+01\n", - "VI NF (t=1.000): it: 3900 | loss: 2.681e+01\n", - "VI NF (t=1.000): it: 4000 | loss: 2.727e+01\n", - "VI NF (t=1.000): it: 4100 | loss: 2.714e+01\n", - "VI NF (t=1.000): it: 4200 | loss: 2.677e+01\n", - "VI NF (t=1.000): it: 4300 | loss: 2.743e+01\n", - "VI NF (t=1.000): it: 4400 | loss: 2.719e+01\n", - "VI NF (t=1.000): it: 4500 | loss: 2.706e+01\n", - "VI NF (t=1.000): it: 4600 | loss: 2.655e+01\n", - "VI NF (t=1.000): it: 4700 | loss: 2.667e+01\n", - "VI NF (t=1.000): it: 4800 | loss: 2.668e+01\n", - "VI NF (t=1.000): it: 4900 | loss: 2.679e+01\n", + "VI NF (t=1.000): it: 100 | loss: 9.888e+03\n", + "VI NF (t=1.000): it: 200 | loss: 4.040e+03\n", + "VI NF (t=1.000): it: 300 | loss: 7.229e+02\n", + "VI NF (t=1.000): it: 400 | loss: 4.176e+02\n", + "VI NF (t=1.000): it: 500 | loss: 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1.435e+01\n", + "VI NF (t=1.000): it: 24600 | loss: 1.474e+01\n", + "VI NF (t=1.000): it: 24700 | loss: 1.440e+01\n", + "VI NF (t=1.000): it: 24800 | loss: 1.421e+01\n", + "VI NF (t=1.000): it: 24900 | loss: 1.434e+01\n", "--- Saving results at iteration 25000\n", - "VI NF (t=1.000): it: 25000 | loss: 2.360e+01\n", + "VI NF (t=1.000): it: 25000 | loss: 1.427e+01\n", "\n", "--- Simulation completed!\n" ] @@ -1072,8 +1119,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "1781ab4a", "metadata": {}, "source": [ "Notice that the model evaluation has been successfully completed by checking at the newly created **phys_nofasFree** folder in the tutorial directory.\n", @@ -1085,8 +1132,8 @@ }, { "cell_type": "code", - "execution_count": 73, - "id": "b81b3651", + "execution_count": 16, + "id": "ad97fa3e", "metadata": {}, "outputs": [ { @@ -1105,59 +1152,158 @@ ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "ea37353b", + "id": "5659eddd", "metadata": {}, "source": [ "You can now visualize the results" ] }, { - "attachments": {}, - "cell_type": "markdown", - "id": "df0bd68d", + "cell_type": "code", + "execution_count": 17, + "id": "54cc87b6", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "image/png": { + "width": 300 + } + }, + "output_type": "display_data" + } + ], "source": [ - "

\n", - "\n", - "
Figure: Loss profile
" + "from IPython.display import Image, display\n", + "display(Image(filename='./phys_full_3d/log_plot.png',width=300))" ] }, { - "attachments": {}, - "cell_type": "markdown", - "id": "7e6cc34a", + "cell_type": "code", + "execution_count": 18, + "id": "4aed1f94", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "image/png": { + "width": 300 + } + }, + "output_type": "display_data" + } + ], "source": [ - "
\n", - "\n", - "

\n", - "\n", - "
Figure: Two-dimensional slices from predictive posterior distribution.
" + "from IPython.display import Image, display\n", + "display(Image(filename='phys_full_3d/data_plot_phys_full_3d_25000_0_1.png',width=300))\n", + "display(Image(filename='phys_full_3d/data_plot_phys_full_3d_25000_0_2.png',width=300))\n", + "display(Image(filename='phys_full_3d/data_plot_phys_full_3d_25000_1_2.png',width=300))" ] }, { - "attachments": {}, - "cell_type": "markdown", - "id": "8b49f515", + "cell_type": "code", + "execution_count": 19, + "id": "44dff8d9", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "image/png": { + "width": 300 + } + }, + "output_type": "display_data" + } + ], "source": [ - "
\n", - "\n", - "\n", - "\n", - "

\n", - "\n", - "
Figure: Two-dimensional slices from posterior distribution.
" + "from IPython.display import Image, display\n", + "display(Image(filename='phys_full_3d/params_plot_phys_full_3d_25000_0_1.png',width=300))\n", + "display(Image(filename='phys_full_3d/params_plot_phys_full_3d_25000_0_2.png',width=300))\n", + "display(Image(filename='phys_full_3d/params_plot_phys_full_3d_25000_1_2.png',width=300))" ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "63ccf4cd", + "id": "e165136c", "metadata": {}, "source": [ + "The results look as expected, concentrated around the *fibers* identified above.\n", + "\n", "However, even with our simple model, the cost of evaluating the physics-based model and to compute the gradient through it can be significant and might lead to intractable inference tasks.\n", "\n", "In such cases, LINFA enables the construction of the adaptively trained surrogate model. By utilizing the surrogate model, gradient computation is executed through the surrogate, reducing the computational burden of such operation.\n", @@ -1169,9 +1315,8 @@ ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "e705547e", + "id": "aafe16c7", "metadata": {}, "source": [ "### AdaAnn: An adaptive annealing scheduler\n", @@ -1181,26 +1326,26 @@ }, { "cell_type": "code", - "execution_count": 74, - "id": "9ab54cc6", + "execution_count": 41, + "id": "10bfa22b", "metadata": {}, "outputs": [], "source": [ "exp.annealing = True\n", "exp.scheduler = 'AdaAnn' # str: type of annealing scheduler used\n", "exp.tol = 0.01 # float: tolerance for AdaAnn scheduler\n", - "exp.t0 = 0.05 # float: initial inverse temperature value\n", - "exp.N = 100 # int: number of sample points during annealing\n", - "exp.N_1 = 100 # int: number of sample points at t=1\n", + "exp.t0 = 0.001 # float: initial inverse temperature value\n", + "exp.N = 250 # int: number of sample points during annealing\n", + "exp.N_1 = 250 # int: number of sample points at t=1\n", "exp.T_0 = 500 # int: number of parameter updates at initial t0\n", - "exp.T = 5 # int: number of parameter updates during annealing\n", + "exp.T = 10 # int: number of parameter updates during annealing\n", "exp.T_1 = 25000 # int: number of parameter updates at t=1\n", "exp.M = 1000 # int: number of sample points used to update temperature" ] }, { - "attachments": {}, "cell_type": "markdown", + "id": "b7f25d1a", "metadata": {}, "source": [ "### NoFAS: Normalizing flow with an adaptively trained surrogate\n", @@ -1210,24 +1355,23 @@ }, { "cell_type": "code", - "execution_count": 75, - "id": "48ae6e40", + "execution_count": 42, + "id": "3f59c4f7", "metadata": {}, "outputs": [], "source": [ "exp.run_nofas = True # boolean: to run experiment with nofas\n", - "exp.calibrate_interval = 1000 # int: How often to update surrogate model \n", - "exp.budget = 1000 # int: Total number of true model evaluation\n", - "exp.surr_pre_it = 20000 # int: Number of pre-training iterations for surrogate model\n", + "exp.calibrate_interval = 2000 # int: How often to update surrogate model \n", + "exp.budget = 2000 # int: Total number of true model evaluation\n", + "exp.surr_pre_it = 40000 # int: Number of pre-training iterations for surrogate model\n", "exp.surr_upd_it = 6000 # int: Number of iterations for the surrogate model update\n", "exp.use_new_surr = True # boolean: to run experiment with nofas\n", - "exp.surr_folder = \"./\"" + "exp.surr_folder = \"./\"\n", + "exp.true_data_num = 15" ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "a3b34aae", "metadata": {}, "source": [ "In addition we need to define the new surrogate and assign the surrogate so the current instance of th *Experiment* class knows about it. \n", @@ -1240,7 +1384,7 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": 43, "metadata": {}, "outputs": [ { @@ -1252,46 +1396,86 @@ "\n", "--- Pre-training surrogate model\n", "\n", - "SUR: PRE: it: 0 | loss: 3.043e+00\n", - "SUR: PRE: it: 500 | loss: 8.703e-02\n", - "SUR: PRE: it: 1000 | loss: 4.943e-02\n", - "SUR: PRE: it: 1500 | loss: 3.882e-02\n", - "SUR: PRE: it: 2000 | loss: 4.243e-02\n", - "SUR: PRE: it: 2500 | loss: 3.188e-02\n", - "SUR: PRE: it: 3000 | loss: 1.815e-02\n", - "SUR: PRE: it: 3500 | loss: 4.714e-02\n", - "SUR: PRE: it: 4000 | loss: 1.351e-02\n", - "SUR: PRE: it: 4500 | loss: 1.602e-02\n", - "SUR: PRE: it: 5000 | loss: 2.095e-02\n", - "SUR: PRE: it: 5500 | loss: 9.381e-03\n", - "SUR: PRE: it: 6000 | loss: 4.442e-02\n", - "SUR: PRE: it: 6500 | loss: 6.420e-03\n", - "SUR: PRE: it: 7000 | loss: 1.267e-02\n", - "SUR: PRE: it: 7500 | loss: 2.956e-03\n", - "SUR: PRE: it: 8000 | loss: 4.290e-03\n", - "SUR: PRE: it: 8500 | loss: 1.789e-02\n", - "SUR: PRE: it: 9000 | loss: 9.112e-03\n", - "SUR: PRE: it: 9500 | loss: 1.393e-02\n", - "SUR: PRE: it: 10000 | loss: 4.573e-03\n", - "SUR: PRE: it: 10500 | loss: 1.488e-03\n", - "SUR: PRE: it: 11000 | loss: 5.723e-03\n", - "SUR: PRE: it: 11500 | loss: 4.364e-03\n", - "SUR: PRE: it: 12000 | loss: 2.357e-03\n", - "SUR: PRE: it: 12500 | loss: 1.344e-02\n", - "SUR: PRE: it: 13000 | loss: 1.483e-03\n", - "SUR: PRE: it: 13500 | loss: 9.106e-03\n", - "SUR: PRE: it: 14000 | loss: 8.593e-03\n", - "SUR: PRE: it: 14500 | loss: 3.896e-03\n", - "SUR: PRE: it: 15000 | loss: 4.086e-03\n", - "SUR: PRE: it: 15500 | loss: 3.845e-03\n", - "SUR: PRE: it: 16000 | loss: 3.169e-03\n", - "SUR: PRE: it: 16500 | loss: 7.166e-03\n", - "SUR: PRE: it: 17000 | loss: 3.950e-03\n", - "SUR: PRE: it: 17500 | loss: 1.705e-03\n", - "SUR: PRE: it: 18000 | loss: 1.396e-03\n", - "SUR: PRE: it: 18500 | loss: 1.115e-03\n", - "SUR: PRE: it: 19000 | loss: 9.642e-04\n", - "SUR: PRE: it: 19500 | loss: 1.315e-03\n", + "SUR: PRE: it: 0 | loss: 2.885e+00\n", + "SUR: PRE: it: 500 | loss: 6.326e-02\n", + "SUR: PRE: it: 1000 | loss: 7.326e-02\n", + "SUR: PRE: it: 1500 | loss: 2.763e-02\n", + "SUR: PRE: it: 2000 | loss: 1.206e-01\n", + "SUR: PRE: it: 2500 | loss: 5.023e-02\n", + "SUR: PRE: it: 3000 | loss: 1.550e-02\n", + "SUR: PRE: it: 3500 | loss: 2.730e-03\n", + "SUR: PRE: it: 4000 | loss: 5.584e-03\n", + "SUR: PRE: it: 4500 | loss: 1.192e-02\n", + "SUR: PRE: it: 5000 | loss: 3.284e-02\n", + "SUR: PRE: it: 5500 | loss: 3.835e-02\n", + "SUR: PRE: it: 6000 | loss: 1.085e-02\n", + "SUR: PRE: it: 6500 | loss: 7.482e-03\n", + "SUR: PRE: it: 7000 | loss: 2.266e-02\n", + "SUR: PRE: it: 7500 | loss: 3.264e-03\n", + "SUR: PRE: it: 8000 | loss: 1.416e-02\n", + "SUR: PRE: it: 8500 | loss: 9.003e-03\n", + "SUR: PRE: it: 9000 | loss: 2.923e-03\n", + "SUR: PRE: it: 9500 | loss: 2.009e-03\n", + "SUR: PRE: it: 10000 | loss: 1.663e-02\n", + "SUR: PRE: it: 10500 | loss: 9.754e-03\n", + "SUR: PRE: it: 11000 | loss: 2.022e-03\n", + "SUR: PRE: it: 11500 | loss: 4.549e-03\n", + "SUR: PRE: it: 12000 | loss: 6.710e-04\n", + "SUR: PRE: it: 12500 | loss: 1.044e-03\n", + "SUR: PRE: it: 13000 | loss: 1.803e-03\n", + "SUR: PRE: it: 13500 | loss: 5.047e-03\n", + "SUR: PRE: it: 14000 | loss: 1.110e-02\n", + "SUR: PRE: it: 14500 | loss: 8.765e-04\n", + "SUR: PRE: it: 15000 | loss: 9.554e-03\n", + "SUR: PRE: it: 15500 | loss: 1.071e-03\n", + "SUR: PRE: it: 16000 | loss: 1.817e-03\n", + "SUR: PRE: it: 16500 | loss: 9.979e-04\n", + "SUR: PRE: it: 17000 | loss: 2.055e-03\n", + "SUR: PRE: it: 17500 | loss: 2.590e-03\n", + "SUR: PRE: it: 18000 | loss: 1.834e-03\n", + "SUR: PRE: it: 18500 | loss: 3.788e-04\n", + "SUR: PRE: it: 19000 | loss: 9.331e-04\n", + "SUR: PRE: it: 19500 | loss: 1.362e-03\n", + "SUR: PRE: it: 20000 | loss: 1.738e-03\n", + "SUR: PRE: it: 20500 | loss: 1.465e-03\n", + "SUR: PRE: it: 21000 | loss: 5.248e-04\n", + "SUR: PRE: it: 21500 | loss: 1.414e-03\n", + "SUR: PRE: it: 22000 | loss: 4.395e-04\n", + "SUR: PRE: it: 22500 | loss: 5.452e-04\n", + "SUR: PRE: it: 23000 | loss: 4.198e-04\n", + "SUR: PRE: it: 23500 | loss: 6.408e-04\n", + "SUR: PRE: it: 24000 | loss: 2.100e-04\n", + "SUR: PRE: it: 24500 | loss: 6.605e-04\n", + "SUR: PRE: it: 25000 | loss: 2.389e-04\n", + "SUR: PRE: it: 25500 | loss: 7.448e-04\n", + "SUR: PRE: it: 26000 | loss: 9.070e-04\n", + "SUR: PRE: it: 26500 | loss: 3.750e-04\n", + "SUR: PRE: it: 27000 | loss: 3.632e-04\n", + "SUR: PRE: it: 27500 | loss: 2.733e-04\n", + "SUR: PRE: it: 28000 | loss: 5.423e-04\n", + "SUR: PRE: it: 28500 | loss: 3.644e-04\n", + "SUR: PRE: it: 29000 | loss: 3.412e-04\n", + "SUR: PRE: it: 29500 | loss: 3.250e-04\n", + "SUR: PRE: it: 30000 | loss: 2.605e-04\n", + "SUR: PRE: it: 30500 | loss: 2.840e-04\n", + "SUR: PRE: it: 31000 | loss: 2.045e-04\n", + "SUR: PRE: it: 31500 | loss: 3.756e-04\n", + "SUR: PRE: it: 32000 | loss: 2.418e-04\n", + "SUR: PRE: it: 32500 | loss: 2.635e-04\n", + "SUR: PRE: it: 33000 | loss: 2.444e-04\n", + "SUR: PRE: it: 33500 | loss: 2.491e-04\n", + "SUR: PRE: it: 34000 | loss: 2.026e-04\n", + "SUR: PRE: it: 34500 | loss: 2.135e-04\n", + "SUR: PRE: it: 35000 | loss: 2.535e-04\n", + "SUR: PRE: it: 35500 | loss: 1.855e-04\n", + "SUR: PRE: it: 36000 | loss: 2.138e-04\n", + "SUR: PRE: it: 36500 | loss: 2.058e-04\n", + "SUR: PRE: it: 37000 | loss: 2.160e-04\n", + "SUR: PRE: it: 37500 | loss: 1.903e-04\n", + "SUR: PRE: it: 38000 | loss: 1.777e-04\n", + "SUR: PRE: it: 38500 | loss: 1.785e-04\n", + "SUR: PRE: it: 39000 | loss: 1.784e-04\n", + "SUR: PRE: it: 39500 | loss: 1.911e-04\n", "\n", "--- Surrogate model pre-train complete\n", "\n", @@ -1306,8 +1490,8 @@ "exp.output_dir = './' + exp.name\n", "\n", "exp.surrogate = Surrogate(exp.name, lambda x: model.solve_t(trsf.forward(x)), exp.input_size, 3, \n", - " model_folder=exp.surr_folder, limits=torch.Tensor([[0, 6], [4, 8], [-3, 3]]), \n", - " memory_len=100, dnn_arch=[64,32], dnn_activation='tanh', device=exp.device)\n", + " model_folder=exp.surr_folder, limits=torch.Tensor([[0, 6], [4, 5], [-3, 3]]), \n", + " memory_len=50, dnn_arch=[64,32], dnn_activation='silu', device=exp.device)\n", "surr_filename = exp.surr_folder + exp.name\n", "if exp.use_new_surr or (not os.path.isfile(surr_filename + \".sur\")) or (not os.path.isfile(surr_filename + \".npz\")):\n", " print(\"Warning: Surrogate model files: {0}.npz and {0}.npz could not be found. \".format(surr_filename))\n", @@ -1319,7 +1503,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": 44, "metadata": {}, "outputs": [ { @@ -1331,976 +1515,666 @@ "\n", "--- Running on device: cpu\n", "\n", - "VI NF (t=0.050): it: 100 | loss: 8.693e+02\n", - "VI NF (t=0.050): it: 200 | loss: 4.097e+02\n", - "VI NF (t=0.050): it: 300 | loss: 1.896e+02\n", - "VI NF (t=0.050): it: 400 | loss: 4.922e+01\n", - "VI NF (t=0.050): it: 500 | loss: 1.525e+01\n", - "VI NF (t=0.054): it: 600 | loss: 1.064e+01\n", - "VI NF (t=0.058): it: 700 | loss: 1.001e+01\n", - "VI NF (t=0.063): it: 800 | loss: 1.040e+01\n", - "VI NF (t=0.069): it: 900 | loss: 9.756e+00\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "7.424e-02 -> 3.584e-02\n", - "2.500e-02 -> 1.707e-01\n", - "1.380e-01 -> 1.380e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 1.559e-02\n", - "SUR: UPD: it: 500 | loss: 3.806e-03\n", - "SUR: UPD: it: 1000 | loss: 2.288e-03\n", - "SUR: UPD: it: 1500 | loss: 1.092e-03\n", - "SUR: UPD: it: 2000 | loss: 1.144e-03\n", - "SUR: UPD: it: 2500 | loss: 1.011e-03\n", - "SUR: UPD: it: 3000 | loss: 8.983e-04\n", - "SUR: UPD: it: 3500 | loss: 8.749e-04\n", - "SUR: UPD: it: 4000 | loss: 8.585e-04\n", - "SUR: UPD: it: 4500 | loss: 8.378e-04\n", - "SUR: UPD: it: 5000 | loss: 7.632e-04\n", - "SUR: UPD: it: 5500 | loss: 7.191e-04\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=0.076): it: 1000 | loss: 2.362e+01\n", - "VI NF (t=0.083): it: 1100 | loss: 1.111e+01\n", - "VI NF (t=0.090): it: 1200 | loss: 9.426e+00\n", - "VI NF (t=0.099): it: 1300 | loss: 1.514e+01\n", - "VI NF (t=0.108): it: 1400 | loss: 1.193e+01\n", - "VI NF (t=0.116): it: 1500 | loss: 1.104e+01\n", - "VI NF (t=0.125): it: 1600 | loss: 1.127e+01\n", - "VI NF (t=0.138): it: 1700 | loss: 1.174e+01\n", - "VI NF (t=0.148): it: 1800 | loss: 1.011e+01\n", - "VI NF (t=0.161): it: 1900 | loss: 1.326e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "6.575e-01 -> 6.575e-01\n", - "1.438e+00 -> 1.438e+00\n", - "2.043e+00 -> 2.043e+00\n", - "\n", - "SUR: UPD: it: 0 | loss: 1.269e+00\n", - "SUR: UPD: it: 500 | loss: 8.159e-03\n", - "SUR: UPD: it: 1000 | loss: 7.354e-03\n", - "SUR: UPD: it: 1500 | loss: 4.894e-03\n", - "SUR: UPD: it: 2000 | loss: 4.068e-03\n", - "SUR: UPD: it: 2500 | loss: 3.469e-03\n", - "SUR: UPD: it: 3000 | loss: 3.312e-03\n", - "SUR: UPD: it: 3500 | loss: 3.131e-03\n", - "SUR: UPD: it: 4000 | loss: 3.077e-03\n", - "SUR: UPD: it: 4500 | loss: 3.041e-03\n", - "SUR: UPD: it: 5000 | loss: 3.012e-03\n", - "SUR: UPD: it: 5500 | loss: 2.991e-03\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=0.175): it: 2000 | loss: 2.523e+02\n", - "VI NF (t=0.176): it: 2100 | loss: 2.788e+01\n", - "VI NF (t=0.177): it: 2200 | loss: 2.433e+01\n", - "VI NF (t=0.177): it: 2300 | loss: 4.982e+01\n", - "VI NF (t=0.177): it: 2400 | loss: 2.616e+01\n", - "VI NF (t=0.177): it: 2500 | loss: 4.490e+01\n", - "VI NF (t=0.177): it: 2600 | loss: 2.615e+01\n", - "VI NF (t=0.177): it: 2700 | loss: 2.154e+01\n", - "VI NF (t=0.178): it: 2800 | loss: 2.656e+01\n", - "VI NF (t=0.179): it: 2900 | loss: 3.158e+01\n", + "VI NF (t=0.001): it: 100 | loss: 2.030e+01\n", + "VI NF (t=0.001): it: 200 | loss: 1.051e+01\n", + "VI NF (t=0.001): it: 300 | loss: 5.720e+00\n", + "VI NF (t=0.001): it: 400 | loss: 3.894e+00\n", + "VI NF (t=0.001): it: 500 | loss: 3.083e+00\n", + "VI NF (t=0.001): it: 600 | loss: 3.090e+00\n", + "VI NF (t=0.001): it: 700 | loss: 2.679e+00\n", + "VI NF (t=0.001): it: 800 | loss: 2.542e+00\n", + "VI NF (t=0.002): it: 900 | loss: 2.687e+00\n", + "VI NF (t=0.002): it: 1000 | loss: 2.870e+00\n", + "VI NF (t=0.002): it: 1100 | loss: 2.673e+00\n", + "VI NF (t=0.002): it: 1200 | loss: 2.872e+00\n", + "VI NF (t=0.003): it: 1300 | loss: 2.755e+00\n", + "VI NF (t=0.003): it: 1400 | loss: 2.764e+00\n", + "VI NF (t=0.004): it: 1500 | loss: 3.791e+00\n", + "VI NF (t=0.004): it: 1600 | loss: 4.389e+00\n", + "VI NF (t=0.005): it: 1700 | loss: 3.343e+00\n", + "VI NF (t=0.006): it: 1800 | loss: 3.535e+00\n", + "VI NF (t=0.007): it: 1900 | loss: 3.591e+00\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "5.720e-02 -> 1.746e-02\n", - "4.953e-02 -> 1.434e-01\n", - "7.702e-02 -> 7.042e-02\n", - "\n", - "SUR: UPD: it: 0 | loss: 5.943e-03\n", - "SUR: UPD: it: 500 | loss: 3.086e-02\n", - "SUR: UPD: it: 1000 | loss: 9.897e-03\n", - "SUR: UPD: it: 1500 | loss: 7.404e-03\n", - "SUR: UPD: it: 2000 | loss: 5.710e-03\n", - "SUR: UPD: it: 2500 | loss: 5.252e-03\n", - "SUR: UPD: it: 3000 | loss: 4.513e-03\n", - "SUR: UPD: it: 3500 | loss: 4.288e-03\n", - "SUR: UPD: it: 4000 | loss: 4.126e-03\n", - "SUR: UPD: it: 4500 | loss: 4.000e-03\n", - "SUR: UPD: it: 5000 | loss: 3.917e-03\n", - "SUR: UPD: it: 5500 | loss: 3.864e-03\n", + "1.967e+00 -> 1.967e+00\n", + "6.785e-01 -> 6.785e-01\n", + "1.817e+00 -> 1.817e+00\n", + "\n", + "SUR: UPD: it: 0 | loss: 3.682e-01\n", + "SUR: UPD: it: 500 | loss: 4.266e-02\n", + "SUR: UPD: it: 1000 | loss: 3.110e-03\n", + "SUR: UPD: it: 1500 | loss: 2.668e-03\n", + "SUR: UPD: it: 2000 | loss: 2.498e-03\n", + "SUR: UPD: it: 2500 | loss: 2.154e-03\n", + "SUR: UPD: it: 3000 | loss: 1.827e-03\n", + "SUR: UPD: it: 3500 | loss: 1.684e-03\n", + "SUR: UPD: it: 4000 | loss: 1.609e-03\n", + "SUR: UPD: it: 4500 | loss: 1.577e-03\n", + "SUR: UPD: it: 5000 | loss: 1.548e-03\n", + "SUR: UPD: it: 5500 | loss: 1.524e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=0.182): it: 3000 | loss: 2.595e+01\n", - "VI NF (t=0.190): it: 3100 | loss: 1.541e+01\n", - "VI NF (t=0.208): it: 3200 | loss: 1.179e+01\n", - "VI NF (t=0.228): it: 3300 | loss: 1.253e+01\n", - "VI NF (t=0.251): it: 3400 | loss: 1.268e+01\n", - "VI NF (t=0.279): it: 3500 | loss: 1.373e+01\n", - "VI NF (t=0.301): it: 3600 | loss: 1.398e+01\n", - "VI NF (t=0.338): it: 3700 | loss: 1.595e+01\n", - "VI NF (t=0.367): it: 3800 | loss: 1.501e+01\n", - "VI NF (t=0.401): it: 3900 | loss: 1.531e+01\n", + "VI NF (t=0.008): it: 2000 | loss: 9.821e+00\n", + "VI NF (t=0.009): it: 2100 | loss: 3.990e+00\n", + "VI NF (t=0.010): it: 2200 | loss: 4.432e+00\n", + "VI NF (t=0.012): it: 2300 | loss: 4.560e+00\n", + "VI NF (t=0.013): it: 2400 | loss: 4.691e+00\n", + "VI NF (t=0.015): it: 2500 | loss: 4.996e+00\n", + "VI NF (t=0.018): it: 2600 | loss: 5.168e+00\n", + "VI NF (t=0.021): it: 2700 | loss: 5.206e+00\n", + "VI NF (t=0.024): it: 2800 | loss: 5.913e+00\n", + "VI NF (t=0.028): it: 2900 | loss: 5.580e+00\n", + "VI NF (t=0.032): it: 3000 | loss: 5.727e+00\n", + "VI NF (t=0.037): it: 3100 | loss: 6.347e+00\n", + "VI NF (t=0.043): it: 3200 | loss: 6.224e+00\n", + "VI NF (t=0.050): it: 3300 | loss: 6.292e+00\n", + "VI NF (t=0.057): it: 3400 | loss: 6.463e+00\n", + "VI NF (t=0.065): it: 3500 | loss: 7.135e+00\n", + "VI NF (t=0.074): it: 3600 | loss: 7.213e+00\n", + "VI NF (t=0.084): it: 3700 | loss: 7.353e+00\n", + "VI NF (t=0.097): it: 3800 | loss: 7.696e+00\n", + "VI NF (t=0.110): it: 3900 | loss: 8.469e+00\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "2.474e-02 -> 3.858e-03\n", - "8.233e-03 -> 3.173e-02\n", - "4.535e-02 -> 1.293e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 4.924e-03\n", - "SUR: UPD: it: 500 | loss: 1.643e-02\n", - "SUR: UPD: it: 1000 | loss: 9.051e-03\n", - "SUR: UPD: it: 1500 | loss: 5.473e-03\n", - "SUR: UPD: it: 2000 | loss: 6.404e-03\n", - "SUR: UPD: it: 2500 | loss: 4.985e-03\n", - "SUR: UPD: it: 3000 | loss: 4.646e-03\n", - "SUR: UPD: it: 3500 | loss: 4.486e-03\n", - "SUR: UPD: it: 4000 | loss: 4.423e-03\n", - "SUR: UPD: it: 4500 | loss: 4.370e-03\n", - "SUR: UPD: it: 5000 | loss: 4.336e-03\n", - "SUR: UPD: it: 5500 | loss: 4.299e-03\n", + "1.147e+00 -> 1.147e+00\n", + "1.684e-01 -> 1.684e-01\n", + "9.769e-01 -> 9.769e-01\n", + "\n", + "SUR: UPD: it: 0 | loss: 1.093e-02\n", + "SUR: UPD: it: 500 | loss: 1.447e-02\n", + "SUR: UPD: it: 1000 | loss: 7.843e-03\n", + "SUR: UPD: it: 1500 | loss: 4.558e-03\n", + "SUR: UPD: it: 2000 | loss: 5.089e-03\n", + "SUR: UPD: it: 2500 | loss: 4.500e-03\n", + "SUR: UPD: it: 3000 | loss: 4.168e-03\n", + "SUR: UPD: it: 3500 | loss: 4.100e-03\n", + "SUR: UPD: it: 4000 | loss: 4.049e-03\n", + "SUR: UPD: it: 4500 | loss: 3.980e-03\n", + "SUR: UPD: it: 5000 | loss: 3.929e-03\n", + "SUR: UPD: it: 5500 | loss: 3.886e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=0.461): it: 4000 | loss: 4.529e+01\n", - "VI NF (t=0.502): it: 4100 | loss: 1.660e+01\n", - "VI NF (t=0.549): it: 4200 | loss: 2.280e+01\n", - "VI NF (t=0.600): it: 4300 | loss: 2.035e+01\n", - "VI NF (t=0.643): it: 4400 | loss: 1.976e+01\n", - "VI NF (t=0.700): it: 4500 | loss: 2.017e+01\n", - "VI NF (t=0.760): it: 4600 | loss: 2.153e+01\n", - "VI NF (t=0.854): it: 4700 | loss: 2.379e+01\n", - "VI NF (t=0.927): it: 4800 | loss: 2.511e+01\n", - "VI NF (t=1.000): it: 4900 | loss: 2.478e+01\n", + "VI NF (t=0.125): it: 4000 | loss: 8.569e+00\n", + "VI NF (t=0.144): it: 4100 | loss: 1.006e+01\n", + "VI NF (t=0.163): it: 4200 | loss: 8.176e+00\n", + "VI NF (t=0.183): it: 4300 | loss: 8.347e+00\n", + "VI NF (t=0.209): it: 4400 | loss: 9.803e+00\n", + "VI NF (t=0.235): it: 4500 | loss: 9.019e+00\n", + "VI NF (t=0.265): it: 4600 | loss: 9.363e+00\n", + "VI NF (t=0.298): it: 4700 | loss: 9.977e+00\n", + "VI NF (t=0.337): it: 4800 | loss: 1.011e+01\n", + "VI NF (t=0.371): it: 4900 | loss: 1.058e+01\n", "--- Saving results at iteration 5000\n", + "VI NF (t=0.412): it: 5000 | loss: 1.085e+01\n", + "VI NF (t=0.461): it: 5100 | loss: 1.222e+01\n", + "VI NF (t=0.513): it: 5200 | loss: 1.224e+01\n", + "VI NF (t=0.561): it: 5300 | loss: 1.226e+01\n", + "VI NF (t=0.615): it: 5400 | loss: 1.392e+01\n", + "VI NF (t=0.669): it: 5500 | loss: 1.754e+01\n", + "VI NF (t=0.725): it: 5600 | loss: 1.366e+01\n", + "VI NF (t=0.787): it: 5700 | loss: 1.347e+01\n", + "VI NF (t=0.855): it: 5800 | loss: 1.502e+01\n", + "VI NF (t=0.921): it: 5900 | loss: 1.497e+01\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "1.251e-01 -> 1.251e-01\n", - "3.570e-01 -> 3.570e-01\n", - "1.182e+00 -> 1.182e+00\n", - "\n", - "SUR: UPD: it: 0 | loss: 1.000e-01\n", - "SUR: UPD: it: 500 | loss: 2.278e-02\n", - "SUR: UPD: it: 1000 | loss: 1.450e-02\n", - "SUR: UPD: it: 1500 | loss: 7.963e-03\n", - "SUR: UPD: it: 2000 | loss: 6.595e-03\n", - "SUR: UPD: it: 2500 | loss: 5.468e-03\n", - "SUR: UPD: it: 3000 | loss: 5.312e-03\n", - "SUR: UPD: it: 3500 | loss: 5.179e-03\n", - "SUR: UPD: it: 4000 | loss: 5.098e-03\n", - "SUR: UPD: it: 4500 | loss: 5.069e-03\n", - "SUR: UPD: it: 5000 | loss: 5.041e-03\n", - "SUR: UPD: it: 5500 | loss: 5.022e-03\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 5000 | loss: 1.624e+02\n", - "VI NF (t=1.000): it: 5100 | loss: 2.570e+01\n", - "VI NF (t=1.000): it: 5200 | loss: 2.540e+01\n", - "VI NF (t=1.000): it: 5300 | loss: 2.534e+01\n", - "VI NF (t=1.000): it: 5400 | loss: 2.592e+01\n", - "VI NF (t=1.000): it: 5500 | loss: 2.525e+01\n", - "VI NF (t=1.000): it: 5600 | loss: 2.511e+01\n", - "VI NF (t=1.000): it: 5700 | loss: 2.484e+01\n", - "VI NF (t=1.000): it: 5800 | loss: 2.493e+01\n", - "VI NF (t=1.000): it: 5900 | loss: 2.527e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "4.515e-01 -> 4.515e-01\n", - "1.485e-02 -> 2.705e-02\n", - "6.321e-01 -> 6.321e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 7.886e-03\n", - "SUR: UPD: it: 500 | loss: 2.995e-02\n", - "SUR: UPD: it: 1000 | loss: 2.758e-02\n", - "SUR: UPD: it: 1500 | loss: 8.218e-03\n", - "SUR: UPD: it: 2000 | loss: 5.978e-03\n", - "SUR: UPD: it: 2500 | loss: 6.212e-03\n", - "SUR: UPD: it: 3000 | loss: 5.762e-03\n", - "SUR: UPD: it: 3500 | loss: 5.613e-03\n", - "SUR: UPD: it: 4000 | loss: 5.579e-03\n", - "SUR: UPD: it: 4500 | loss: 5.523e-03\n", - "SUR: UPD: it: 5000 | loss: 5.494e-03\n", - "SUR: UPD: it: 5500 | loss: 5.470e-03\n", + "1.112e+00 -> 1.112e+00\n", + "1.761e-01 -> 1.761e-01\n", + "9.423e-01 -> 9.423e-01\n", + "\n", + "SUR: UPD: it: 0 | loss: 5.949e-03\n", + "SUR: UPD: it: 500 | loss: 1.429e-02\n", + "SUR: UPD: it: 1000 | loss: 6.452e-03\n", + "SUR: UPD: it: 1500 | loss: 6.158e-03\n", + "SUR: UPD: it: 2000 | loss: 4.806e-03\n", + "SUR: UPD: it: 2500 | loss: 4.551e-03\n", + "SUR: UPD: it: 3000 | loss: 4.461e-03\n", + "SUR: UPD: it: 3500 | loss: 4.356e-03\n", + "SUR: UPD: it: 4000 | loss: 4.347e-03\n", + "SUR: UPD: it: 4500 | loss: 4.324e-03\n", + "SUR: UPD: it: 5000 | loss: 4.315e-03\n", + "SUR: UPD: it: 5500 | loss: 4.313e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 6000 | loss: 2.996e+01\n", - "VI NF (t=1.000): it: 6100 | loss: 2.469e+01\n", - "VI NF (t=1.000): it: 6200 | loss: 2.450e+01\n", - "VI NF (t=1.000): it: 6300 | loss: 2.475e+01\n", - "VI NF (t=1.000): it: 6400 | loss: 2.473e+01\n", - "VI NF (t=1.000): it: 6500 | loss: 2.448e+01\n", - "VI NF (t=1.000): it: 6600 | loss: 2.477e+01\n", - "VI NF (t=1.000): it: 6700 | loss: 2.464e+01\n", - "VI NF (t=1.000): it: 6800 | loss: 2.480e+01\n", - "VI NF (t=1.000): it: 6900 | loss: 2.448e+01\n", + "VI NF (t=1.000): it: 6000 | loss: 1.978e+01\n", + "VI NF (t=1.000): it: 6100 | loss: 1.679e+01\n", + "VI NF (t=1.000): it: 6200 | loss: 1.681e+01\n", + "VI NF (t=1.000): it: 6300 | loss: 1.614e+01\n", + "VI NF (t=1.000): it: 6400 | loss: 1.598e+01\n", + "VI NF (t=1.000): it: 6500 | loss: 1.649e+01\n", + "VI NF (t=1.000): it: 6600 | loss: 1.783e+01\n", + "VI NF (t=1.000): it: 6700 | loss: 1.664e+01\n", + "VI NF (t=1.000): it: 6800 | loss: 1.633e+01\n", + "VI NF (t=1.000): it: 6900 | loss: 1.636e+01\n", + "VI NF (t=1.000): it: 7000 | loss: 1.623e+01\n", + "VI NF (t=1.000): it: 7100 | loss: 1.735e+01\n", + "VI NF (t=1.000): it: 7200 | loss: 1.599e+01\n", + "VI NF (t=1.000): it: 7300 | loss: 1.669e+01\n", + "VI NF (t=1.000): it: 7400 | loss: 1.618e+01\n", + "VI NF (t=1.000): it: 7500 | loss: 1.671e+01\n", + "VI NF (t=1.000): it: 7600 | loss: 1.634e+01\n", + "VI NF (t=1.000): it: 7700 | loss: 1.596e+01\n", + "VI NF (t=1.000): it: 7800 | loss: 1.698e+01\n", + "VI NF (t=1.000): it: 7900 | loss: 1.630e+01\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "3.409e-01 -> 3.409e-01\n", - "7.840e-02 -> 1.299e-01\n", - "6.000e-01 -> 6.000e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 5.783e-03\n", - "SUR: UPD: it: 500 | loss: 2.647e-02\n", - "SUR: UPD: it: 1000 | loss: 2.303e-02\n", - "SUR: UPD: it: 1500 | loss: 1.018e-02\n", - "SUR: UPD: it: 2000 | loss: 7.093e-03\n", - "SUR: UPD: it: 2500 | loss: 5.909e-03\n", - "SUR: UPD: it: 3000 | loss: 6.542e-03\n", - "SUR: UPD: it: 3500 | loss: 5.754e-03\n", - "SUR: UPD: it: 4000 | loss: 5.740e-03\n", - "SUR: UPD: it: 4500 | loss: 5.717e-03\n", - "SUR: UPD: it: 5000 | loss: 5.704e-03\n", - "SUR: UPD: it: 5500 | loss: 5.693e-03\n", + "9.138e-01 -> 9.138e-01\n", + "2.003e-01 -> 2.003e-01\n", + "8.118e-01 -> 8.118e-01\n", + "\n", + "SUR: UPD: it: 0 | loss: 6.130e-03\n", + "SUR: UPD: it: 500 | loss: 1.177e-02\n", + "SUR: UPD: it: 1000 | loss: 1.374e-02\n", + "SUR: UPD: it: 1500 | loss: 7.331e-03\n", + "SUR: UPD: it: 2000 | loss: 5.564e-03\n", + "SUR: UPD: it: 2500 | loss: 5.263e-03\n", + "SUR: UPD: it: 3000 | loss: 5.243e-03\n", + "SUR: UPD: it: 3500 | loss: 5.125e-03\n", + "SUR: UPD: it: 4000 | loss: 5.095e-03\n", + "SUR: UPD: it: 4500 | loss: 5.040e-03\n", + "SUR: UPD: it: 5000 | loss: 5.020e-03\n", + "SUR: UPD: it: 5500 | loss: 4.751e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 7000 | loss: 2.490e+01\n", - "VI NF (t=1.000): it: 7100 | loss: 2.483e+01\n", - "VI NF (t=1.000): it: 7200 | loss: 2.464e+01\n", - "VI NF (t=1.000): it: 7300 | loss: 2.491e+01\n", - "VI NF (t=1.000): it: 7400 | loss: 2.453e+01\n", - "VI NF (t=1.000): it: 7500 | loss: 2.460e+01\n", - "VI NF (t=1.000): it: 7600 | loss: 2.452e+01\n", - "VI NF (t=1.000): it: 7700 | loss: 2.446e+01\n", - "VI NF (t=1.000): it: 7800 | loss: 2.493e+01\n", - "VI NF (t=1.000): it: 7900 | loss: 2.479e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "2.390e-01 -> 2.390e-01\n", - "7.343e-02 -> 2.131e-01\n", - "4.162e-01 -> 4.162e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 6.044e-03\n", - "SUR: UPD: it: 500 | loss: 7.658e-02\n", - "SUR: UPD: it: 1000 | loss: 1.753e-02\n", - "SUR: UPD: it: 1500 | loss: 1.912e-02\n", - "SUR: UPD: it: 2000 | loss: 1.157e-02\n", - "SUR: UPD: it: 2500 | loss: 1.061e-02\n", - "SUR: UPD: it: 3000 | loss: 1.040e-02\n", - "SUR: UPD: it: 3500 | loss: 1.024e-02\n", - "SUR: UPD: it: 4000 | loss: 9.705e-03\n", - "SUR: UPD: it: 4500 | loss: 9.524e-03\n", - "SUR: UPD: it: 5000 | loss: 9.421e-03\n", - "SUR: UPD: it: 5500 | loss: 9.352e-03\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 8000 | loss: 2.727e+01\n", - "VI NF (t=1.000): it: 8100 | loss: 2.460e+01\n", - "VI NF (t=1.000): it: 8200 | loss: 2.475e+01\n", - "VI NF (t=1.000): it: 8300 | loss: 2.452e+01\n", - "VI NF (t=1.000): it: 8400 | loss: 2.448e+01\n", - "VI NF (t=1.000): it: 8500 | loss: 2.487e+01\n", - "VI NF (t=1.000): it: 8600 | loss: 2.488e+01\n", - "VI NF (t=1.000): it: 8700 | loss: 2.412e+01\n", - "VI NF (t=1.000): it: 8800 | loss: 2.449e+01\n", - "VI NF (t=1.000): it: 8900 | loss: 2.532e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "3.507e-01 -> 3.507e-01\n", - "9.075e-02 -> 1.897e-01\n", - "5.411e-01 -> 5.411e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 9.629e-03\n", - "SUR: UPD: it: 500 | loss: 4.242e-02\n", - "SUR: UPD: it: 1000 | loss: 1.345e-02\n", - "SUR: UPD: it: 1500 | loss: 9.400e-03\n", - "SUR: UPD: it: 2000 | loss: 9.149e-03\n", - "SUR: UPD: it: 2500 | loss: 8.858e-03\n", - "SUR: UPD: it: 3000 | loss: 8.833e-03\n", - "SUR: UPD: it: 3500 | loss: 8.496e-03\n", - "SUR: UPD: it: 4000 | loss: 8.472e-03\n", - "SUR: UPD: it: 4500 | loss: 8.416e-03\n", - "SUR: UPD: it: 5000 | loss: 8.387e-03\n", - "SUR: UPD: it: 5500 | loss: 8.367e-03\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 9000 | loss: 2.506e+01\n", - "VI NF (t=1.000): it: 9100 | loss: 2.473e+01\n", - "VI NF (t=1.000): it: 9200 | loss: 2.441e+01\n", - "VI NF (t=1.000): it: 9300 | loss: 2.432e+01\n", - "VI NF (t=1.000): it: 9400 | loss: 2.477e+01\n", - "VI NF (t=1.000): it: 9500 | loss: 2.432e+01\n", - "VI NF (t=1.000): it: 9600 | loss: 2.522e+01\n", - "VI NF (t=1.000): it: 9700 | loss: 2.444e+01\n", - "VI NF (t=1.000): it: 9800 | loss: 2.427e+01\n", - "VI NF (t=1.000): it: 9900 | loss: 2.463e+01\n", + "VI NF (t=1.000): it: 8000 | loss: 2.019e+01\n", + "VI NF (t=1.000): it: 8100 | loss: 1.894e+01\n", + "VI NF (t=1.000): it: 8200 | loss: 2.439e+01\n", + "VI NF (t=1.000): it: 8300 | loss: 1.834e+01\n", + "VI NF (t=1.000): it: 8400 | loss: 1.714e+01\n", + "VI NF (t=1.000): it: 8500 | loss: 1.828e+01\n", + "VI NF (t=1.000): it: 8600 | loss: 1.693e+01\n", + "VI NF (t=1.000): it: 8700 | loss: 1.710e+01\n", + "VI NF (t=1.000): it: 8800 | loss: 1.632e+01\n", + "VI NF (t=1.000): it: 8900 | loss: 1.717e+01\n", + "VI NF (t=1.000): it: 9000 | loss: 1.667e+01\n", + "VI NF (t=1.000): it: 9100 | loss: 1.668e+01\n", + "VI NF (t=1.000): it: 9200 | loss: 1.594e+01\n", + "VI NF (t=1.000): it: 9300 | loss: 1.683e+01\n", + "VI NF (t=1.000): it: 9400 | loss: 2.112e+01\n", + "VI NF (t=1.000): it: 9500 | loss: 1.878e+01\n", + "VI NF (t=1.000): it: 9600 | loss: 1.580e+01\n", + "VI NF (t=1.000): it: 9700 | loss: 1.734e+01\n", + "VI NF (t=1.000): it: 9800 | loss: 1.567e+01\n", + "VI NF (t=1.000): it: 9900 | loss: 1.598e+01\n", "--- Saving results at iteration 10000\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "3.501e-02 -> 5.220e-02\n", - "2.750e-02 -> 5.381e-02\n", - "6.335e-02 -> 7.766e-02\n", - "\n", - "SUR: UPD: it: 0 | loss: 8.515e-03\n", - "SUR: UPD: it: 500 | loss: 7.904e-02\n", - "SUR: UPD: it: 1000 | loss: 2.109e-02\n", - "SUR: UPD: it: 1500 | loss: 1.580e-02\n", - "SUR: UPD: it: 2000 | loss: 9.979e-03\n", - "SUR: UPD: it: 2500 | loss: 9.178e-03\n", - "SUR: UPD: it: 3000 | loss: 8.641e-03\n", - "SUR: UPD: it: 3500 | loss: 8.564e-03\n", - "SUR: UPD: it: 4000 | loss: 8.385e-03\n", - "SUR: UPD: it: 4500 | loss: 8.347e-03\n", - "SUR: UPD: it: 5000 | loss: 8.323e-03\n", - "SUR: UPD: it: 5500 | loss: 8.307e-03\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 10000 | loss: 2.453e+01\n", - "VI NF (t=1.000): it: 10100 | loss: 2.418e+01\n", - "VI NF (t=1.000): it: 10200 | loss: 2.427e+01\n", - "VI NF (t=1.000): it: 10300 | loss: 2.416e+01\n", - "VI NF (t=1.000): it: 10400 | loss: 2.434e+01\n", - "VI NF (t=1.000): it: 10500 | loss: 2.427e+01\n", - "VI NF (t=1.000): it: 10600 | loss: 2.418e+01\n", - "VI NF (t=1.000): it: 10700 | loss: 2.455e+01\n", - "VI NF (t=1.000): it: 10800 | loss: 2.426e+01\n", - "VI NF (t=1.000): it: 10900 | loss: 2.416e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "4.925e-01 -> 4.925e-01\n", - "9.056e-02 -> 2.494e-01\n", - "9.530e-01 -> 9.530e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 1.148e-02\n", - "SUR: UPD: it: 500 | loss: 3.745e-02\n", - "SUR: UPD: it: 1000 | loss: 2.433e-02\n", - "SUR: UPD: it: 1500 | loss: 1.256e-02\n", - "SUR: UPD: it: 2000 | loss: 9.840e-03\n", - "SUR: UPD: it: 2500 | loss: 9.544e-03\n", - "SUR: UPD: it: 3000 | loss: 9.461e-03\n", - "SUR: UPD: it: 3500 | loss: 9.103e-03\n", - "SUR: UPD: it: 4000 | loss: 9.054e-03\n", - "SUR: UPD: it: 4500 | loss: 8.943e-03\n", - "SUR: UPD: it: 5000 | loss: 8.916e-03\n", - "SUR: UPD: it: 5500 | loss: 8.900e-03\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 11000 | loss: 2.566e+01\n", - "VI NF (t=1.000): it: 11100 | loss: 2.417e+01\n", - "VI NF (t=1.000): it: 11200 | loss: 2.426e+01\n", - "VI NF (t=1.000): it: 11300 | loss: 2.423e+01\n", - "VI NF (t=1.000): it: 11400 | loss: 2.402e+01\n", - "VI NF (t=1.000): it: 11500 | loss: 2.393e+01\n", - "VI NF (t=1.000): it: 11600 | loss: 2.404e+01\n", - "VI NF (t=1.000): it: 11700 | loss: 2.390e+01\n", - "VI NF (t=1.000): it: 11800 | loss: 2.420e+01\n", - "VI NF (t=1.000): it: 11900 | loss: 2.405e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "4.175e-01 -> 4.175e-01\n", - "7.052e-02 -> 4.302e-02\n", - "6.004e-01 -> 6.004e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 9.111e-03\n", - "SUR: UPD: it: 500 | loss: 4.370e-02\n", - "SUR: UPD: it: 1000 | loss: 3.337e-02\n", - "SUR: UPD: it: 1500 | loss: 1.054e-02\n", - "SUR: UPD: it: 2000 | loss: 1.098e-02\n", - "SUR: UPD: it: 2500 | loss: 9.204e-03\n", - "SUR: UPD: it: 3000 | loss: 9.239e-03\n", - "SUR: UPD: it: 3500 | loss: 9.153e-03\n", - "SUR: UPD: it: 4000 | loss: 9.005e-03\n", - "SUR: UPD: it: 4500 | loss: 8.989e-03\n", - "SUR: UPD: it: 5000 | loss: 8.934e-03\n", - "SUR: UPD: it: 5500 | loss: 8.919e-03\n", + "1.386e+00 -> 1.386e+00\n", + "1.797e-01 -> 1.797e-01\n", + "1.176e+00 -> 1.176e+00\n", + "\n", + "SUR: UPD: it: 0 | loss: 4.994e-03\n", + "SUR: UPD: it: 500 | loss: 3.169e-02\n", + "SUR: UPD: it: 1000 | loss: 8.239e-03\n", + "SUR: UPD: it: 1500 | loss: 8.258e-03\n", + "SUR: UPD: it: 2000 | loss: 4.996e-03\n", + "SUR: UPD: it: 2500 | loss: 5.367e-03\n", + "SUR: UPD: it: 3000 | loss: 5.050e-03\n", + "SUR: UPD: it: 3500 | loss: 4.967e-03\n", + "SUR: UPD: it: 4000 | loss: 4.929e-03\n", + "SUR: UPD: it: 4500 | loss: 4.901e-03\n", + "SUR: UPD: it: 5000 | loss: 4.892e-03\n", + "SUR: UPD: it: 5500 | loss: 4.885e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 12000 | loss: 2.409e+01\n", - "VI NF (t=1.000): it: 12100 | loss: 2.409e+01\n", - "VI NF (t=1.000): it: 12200 | loss: 2.414e+01\n", - "VI NF (t=1.000): it: 12300 | loss: 2.408e+01\n", - "VI NF (t=1.000): it: 12400 | loss: 2.393e+01\n", - "VI NF (t=1.000): it: 12500 | loss: 2.397e+01\n", - "VI NF (t=1.000): it: 12600 | loss: 2.417e+01\n", - "VI NF (t=1.000): it: 12700 | loss: 2.405e+01\n", - "VI NF (t=1.000): it: 12800 | loss: 2.384e+01\n", - "VI NF (t=1.000): it: 12900 | loss: 2.389e+01\n", + "VI NF (t=1.000): it: 10000 | loss: 1.616e+01\n", + "VI NF (t=1.000): it: 10100 | loss: 1.539e+01\n", + "VI NF (t=1.000): it: 10200 | loss: 1.597e+01\n", + "VI NF (t=1.000): it: 10300 | loss: 1.695e+01\n", + "VI NF (t=1.000): it: 10400 | loss: 1.507e+01\n", + "VI NF (t=1.000): it: 10500 | loss: 1.523e+01\n", + "VI NF (t=1.000): it: 10600 | loss: 1.631e+01\n", + "VI NF (t=1.000): it: 10700 | loss: 1.594e+01\n", + "VI NF (t=1.000): it: 10800 | loss: 1.799e+01\n", + "VI NF (t=1.000): it: 10900 | loss: 1.636e+01\n", + "VI NF (t=1.000): it: 11000 | loss: 1.499e+01\n", + "VI NF (t=1.000): it: 11100 | loss: 1.475e+01\n", + "VI NF (t=1.000): it: 11200 | loss: 1.637e+01\n", + "VI NF (t=1.000): it: 11300 | loss: 1.520e+01\n", + "VI NF (t=1.000): it: 11400 | loss: 1.468e+01\n", + "VI NF (t=1.000): it: 11500 | loss: 1.508e+01\n", + "VI NF (t=1.000): it: 11600 | loss: 1.520e+01\n", + "VI NF (t=1.000): it: 11700 | loss: 1.509e+01\n", + "VI NF (t=1.000): it: 11800 | loss: 1.460e+01\n", + "VI NF (t=1.000): it: 11900 | loss: 1.454e+01\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "9.209e-01 -> 9.209e-01\n", - "3.072e-01 -> 3.072e-01\n", - "1.742e+00 -> 1.742e+00\n", - "\n", - "SUR: UPD: it: 0 | loss: 9.616e-03\n", - "SUR: UPD: it: 500 | loss: 2.220e-02\n", - "SUR: UPD: it: 1000 | loss: 1.949e-02\n", - "SUR: UPD: it: 1500 | loss: 1.082e-02\n", - "SUR: UPD: it: 2000 | loss: 1.014e-02\n", - "SUR: UPD: it: 2500 | loss: 1.010e-02\n", - "SUR: UPD: it: 3000 | loss: 9.833e-03\n", - "SUR: UPD: it: 3500 | loss: 9.616e-03\n", - "SUR: UPD: it: 4000 | loss: 9.542e-03\n", - "SUR: UPD: it: 4500 | loss: 9.498e-03\n", - "SUR: UPD: it: 5000 | loss: 9.450e-03\n", - "SUR: UPD: it: 5500 | loss: 9.424e-03\n", + "1.360e+00 -> 1.360e+00\n", + "1.893e-01 -> 1.893e-01\n", + "1.142e+00 -> 1.142e+00\n", + "\n", + "SUR: UPD: it: 0 | loss: 5.630e-03\n", + "SUR: UPD: it: 500 | loss: 2.708e-02\n", + "SUR: UPD: it: 1000 | loss: 1.235e-02\n", + "SUR: UPD: it: 1500 | loss: 8.455e-03\n", + "SUR: UPD: it: 2000 | loss: 5.696e-03\n", + "SUR: UPD: it: 2500 | loss: 5.416e-03\n", + "SUR: UPD: it: 3000 | loss: 5.239e-03\n", + "SUR: UPD: it: 3500 | loss: 5.203e-03\n", + "SUR: UPD: it: 4000 | loss: 5.127e-03\n", + "SUR: UPD: it: 4500 | loss: 5.073e-03\n", + "SUR: UPD: it: 5000 | loss: 5.044e-03\n", + "SUR: UPD: it: 5500 | loss: 5.026e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 13000 | loss: 2.575e+01\n", - "VI NF (t=1.000): it: 13100 | loss: 2.443e+01\n", - "VI NF (t=1.000): it: 13200 | loss: 2.386e+01\n", - "VI NF (t=1.000): it: 13300 | loss: 2.416e+01\n", - "VI NF (t=1.000): it: 13400 | loss: 2.433e+01\n", - "VI NF (t=1.000): it: 13500 | loss: 2.417e+01\n", - "VI NF (t=1.000): it: 13600 | loss: 2.417e+01\n", - "VI NF (t=1.000): it: 13700 | loss: 2.429e+01\n", - "VI NF (t=1.000): it: 13800 | loss: 2.407e+01\n", - "VI NF (t=1.000): it: 13900 | loss: 2.423e+01\n", + "VI NF (t=1.000): it: 12000 | loss: 1.579e+01\n", + "VI NF (t=1.000): it: 12100 | loss: 1.480e+01\n", + "VI NF (t=1.000): it: 12200 | loss: 1.528e+01\n", + "VI NF (t=1.000): it: 12300 | loss: 1.543e+01\n", + "VI NF (t=1.000): it: 12400 | loss: 1.571e+01\n", + "VI NF (t=1.000): it: 12500 | loss: 1.468e+01\n", + "VI NF (t=1.000): it: 12600 | loss: 1.484e+01\n", + "VI NF (t=1.000): it: 12700 | loss: 1.479e+01\n", + "VI NF (t=1.000): it: 12800 | loss: 1.462e+01\n", + "VI NF (t=1.000): it: 12900 | loss: 1.481e+01\n", + "VI NF (t=1.000): it: 13000 | loss: 1.581e+01\n", + "VI NF (t=1.000): it: 13100 | loss: 1.506e+01\n", + "VI NF (t=1.000): it: 13200 | loss: 1.472e+01\n", + "VI NF (t=1.000): it: 13300 | loss: 1.547e+01\n", + "VI NF (t=1.000): it: 13400 | loss: 1.434e+01\n", + "VI NF (t=1.000): it: 13500 | loss: 1.478e+01\n", + "VI NF (t=1.000): it: 13600 | loss: 1.451e+01\n", + "VI NF (t=1.000): it: 13700 | loss: 1.471e+01\n", + "VI NF (t=1.000): it: 13800 | loss: 1.451e+01\n", + "VI NF (t=1.000): it: 13900 | loss: 1.504e+01\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "3.293e-02 -> 1.275e-01\n", - "2.679e-02 -> 7.087e-02\n", - "1.575e-01 -> 1.575e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 9.351e-03\n", - "SUR: UPD: it: 500 | loss: 2.375e-02\n", - "SUR: UPD: it: 1000 | loss: 1.320e-02\n", - "SUR: UPD: it: 1500 | loss: 1.650e-02\n", - "SUR: UPD: it: 2000 | loss: 9.715e-03\n", - "SUR: UPD: it: 2500 | loss: 9.781e-03\n", - "SUR: UPD: it: 3000 | loss: 9.570e-03\n", - "SUR: UPD: it: 3500 | loss: 9.526e-03\n", - "SUR: UPD: it: 4000 | loss: 9.345e-03\n", - "SUR: UPD: it: 4500 | loss: 9.315e-03\n", - "SUR: UPD: it: 5000 | loss: 9.287e-03\n", - "SUR: UPD: it: 5500 | loss: 9.271e-03\n", + "1.472e+00 -> 1.472e+00\n", + "2.042e-01 -> 2.042e-01\n", + "1.247e+00 -> 1.247e+00\n", + "\n", + "SUR: UPD: it: 0 | loss: 6.358e-03\n", + "SUR: UPD: it: 500 | loss: 2.294e-02\n", + "SUR: UPD: it: 1000 | loss: 1.406e-02\n", + "SUR: UPD: it: 1500 | loss: 9.910e-03\n", + "SUR: UPD: it: 2000 | loss: 8.112e-03\n", + "SUR: UPD: it: 2500 | loss: 7.733e-03\n", + "SUR: UPD: it: 3000 | loss: 7.628e-03\n", + "SUR: UPD: it: 3500 | loss: 7.497e-03\n", + "SUR: UPD: it: 4000 | loss: 7.385e-03\n", + "SUR: UPD: it: 4500 | loss: 7.307e-03\n", + "SUR: UPD: it: 5000 | loss: 7.257e-03\n", + "SUR: UPD: it: 5500 | loss: 7.213e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 14000 | loss: 2.408e+01\n", - "VI NF (t=1.000): it: 14100 | loss: 2.430e+01\n", - "VI NF (t=1.000): it: 14200 | loss: 2.397e+01\n", - "VI NF (t=1.000): it: 14300 | loss: 2.413e+01\n", - "VI NF (t=1.000): it: 14400 | loss: 2.387e+01\n", - "VI NF (t=1.000): it: 14500 | loss: 2.423e+01\n", - "VI NF (t=1.000): it: 14600 | loss: 2.402e+01\n", - "VI NF (t=1.000): it: 14700 | loss: 2.440e+01\n", - "VI NF (t=1.000): it: 14800 | loss: 2.388e+01\n", - "VI NF (t=1.000): it: 14900 | loss: 2.411e+01\n", + "VI NF (t=1.000): it: 14000 | loss: 1.672e+01\n", + "VI NF (t=1.000): it: 14100 | loss: 1.449e+01\n", + "VI NF (t=1.000): it: 14200 | loss: 1.476e+01\n", + "VI NF (t=1.000): it: 14300 | loss: 1.488e+01\n", + "VI NF (t=1.000): it: 14400 | loss: 1.447e+01\n", + "VI NF (t=1.000): it: 14500 | loss: 1.422e+01\n", + "VI NF (t=1.000): it: 14600 | loss: 1.445e+01\n", + "VI NF (t=1.000): it: 14700 | loss: 1.547e+01\n", + "VI NF (t=1.000): it: 14800 | loss: 1.442e+01\n", + "VI NF (t=1.000): it: 14900 | loss: 1.466e+01\n", "--- Saving results at iteration 15000\n", + "VI NF (t=1.000): it: 15000 | loss: 1.513e+01\n", + "VI NF (t=1.000): it: 15100 | loss: 1.455e+01\n", + "VI NF (t=1.000): it: 15200 | loss: 1.430e+01\n", + "VI NF (t=1.000): it: 15300 | loss: 1.421e+01\n", + "VI NF (t=1.000): it: 15400 | loss: 1.436e+01\n", + "VI NF (t=1.000): it: 15500 | loss: 1.427e+01\n", + "VI NF (t=1.000): it: 15600 | loss: 1.437e+01\n", + "VI NF (t=1.000): it: 15700 | loss: 1.445e+01\n", + "VI NF (t=1.000): it: 15800 | loss: 1.431e+01\n", + "VI NF (t=1.000): it: 15900 | loss: 1.440e+01\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "8.749e-01 -> 8.749e-01\n", - "2.870e-01 -> 2.870e-01\n", - "1.527e+00 -> 1.527e+00\n", - "\n", - "SUR: UPD: it: 0 | loss: 9.199e-03\n", - "SUR: UPD: it: 500 | loss: 1.859e-02\n", - "SUR: UPD: it: 1000 | loss: 5.639e-02\n", - "SUR: UPD: it: 1500 | loss: 1.574e-02\n", - "SUR: UPD: it: 2000 | loss: 1.202e-02\n", - "SUR: UPD: it: 2500 | loss: 9.759e-03\n", - "SUR: UPD: it: 3000 | loss: 9.491e-03\n", - "SUR: UPD: it: 3500 | loss: 9.240e-03\n", - "SUR: UPD: it: 4000 | loss: 9.215e-03\n", - "SUR: UPD: it: 4500 | loss: 9.155e-03\n", - "SUR: UPD: it: 5000 | loss: 9.130e-03\n", - "SUR: UPD: it: 5500 | loss: 9.104e-03\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 15000 | loss: 2.391e+01\n", - "VI NF (t=1.000): it: 15100 | loss: 2.467e+01\n", - "VI NF (t=1.000): it: 15200 | loss: 2.385e+01\n", - "VI NF (t=1.000): it: 15300 | loss: 2.429e+01\n", - "VI NF (t=1.000): it: 15400 | loss: 2.411e+01\n", - "VI NF (t=1.000): it: 15500 | loss: 2.411e+01\n", - "VI NF (t=1.000): it: 15600 | loss: 2.395e+01\n", - "VI NF (t=1.000): it: 15700 | loss: 2.398e+01\n", - "VI NF (t=1.000): it: 15800 | loss: 2.406e+01\n", - "VI NF (t=1.000): it: 15900 | loss: 2.441e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "5.331e-01 -> 5.331e-01\n", - "2.437e-01 -> 2.437e-01\n", - "8.560e-01 -> 8.560e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 9.355e-03\n", - "SUR: UPD: it: 500 | loss: 3.445e-02\n", - "SUR: UPD: it: 1000 | loss: 1.701e-02\n", - "SUR: UPD: it: 1500 | loss: 1.385e-02\n", - "SUR: UPD: it: 2000 | loss: 1.044e-02\n", - "SUR: UPD: it: 2500 | loss: 1.034e-02\n", - "SUR: UPD: it: 3000 | loss: 9.924e-03\n", - "SUR: UPD: it: 3500 | loss: 9.453e-03\n", - "SUR: UPD: it: 4000 | loss: 9.221e-03\n", - "SUR: UPD: it: 4500 | loss: 9.110e-03\n", - "SUR: UPD: it: 5000 | loss: 9.076e-03\n", - "SUR: UPD: it: 5500 | loss: 9.035e-03\n", + "1.157e+00 -> 1.157e+00\n", + "2.081e-01 -> 2.081e-01\n", + "9.752e-01 -> 9.752e-01\n", + "\n", + "SUR: UPD: it: 0 | loss: 7.658e-03\n", + "SUR: UPD: it: 500 | loss: 2.634e-02\n", + "SUR: UPD: it: 1000 | loss: 1.246e-02\n", + "SUR: UPD: it: 1500 | loss: 1.135e-02\n", + "SUR: UPD: it: 2000 | loss: 7.998e-03\n", + "SUR: UPD: it: 2500 | loss: 7.701e-03\n", + "SUR: UPD: it: 3000 | loss: 7.578e-03\n", + "SUR: UPD: it: 3500 | loss: 7.451e-03\n", + "SUR: UPD: it: 4000 | loss: 7.388e-03\n", + "SUR: UPD: it: 4500 | loss: 7.363e-03\n", + "SUR: UPD: it: 5000 | loss: 7.332e-03\n", + "SUR: UPD: it: 5500 | loss: 7.313e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 16000 | loss: 2.433e+01\n", - "VI NF (t=1.000): it: 16100 | loss: 2.384e+01\n", - "VI NF (t=1.000): it: 16200 | loss: 2.414e+01\n", - "VI NF (t=1.000): it: 16300 | loss: 2.383e+01\n", - "VI NF (t=1.000): it: 16400 | loss: 2.411e+01\n", - "VI NF (t=1.000): it: 16500 | loss: 2.399e+01\n", - "VI NF (t=1.000): it: 16600 | loss: 2.399e+01\n", - "VI NF (t=1.000): it: 16700 | loss: 2.400e+01\n", - "VI NF (t=1.000): it: 16800 | loss: 2.429e+01\n", - "VI NF (t=1.000): it: 16900 | loss: 2.367e+01\n", + "VI NF (t=1.000): it: 16000 | loss: 1.456e+01\n", + "VI NF (t=1.000): it: 16100 | loss: 1.487e+01\n", + "VI NF (t=1.000): it: 16200 | loss: 1.439e+01\n", + "VI NF (t=1.000): it: 16300 | loss: 1.446e+01\n", + "VI NF (t=1.000): it: 16400 | loss: 1.468e+01\n", + "VI NF (t=1.000): it: 16500 | loss: 1.428e+01\n", + "VI NF (t=1.000): it: 16600 | loss: 1.465e+01\n", + "VI NF (t=1.000): it: 16700 | loss: 1.446e+01\n", + "VI NF (t=1.000): it: 16800 | loss: 1.476e+01\n", + "VI NF (t=1.000): it: 16900 | loss: 1.453e+01\n", + "VI NF (t=1.000): it: 17000 | loss: 1.435e+01\n", + "VI NF (t=1.000): it: 17100 | loss: 1.492e+01\n", + "VI NF (t=1.000): it: 17200 | loss: 1.440e+01\n", + "VI NF (t=1.000): it: 17300 | loss: 1.474e+01\n", + "VI NF (t=1.000): it: 17400 | loss: 1.438e+01\n", + "VI NF (t=1.000): it: 17500 | loss: 1.443e+01\n", + "VI NF (t=1.000): it: 17600 | loss: 1.440e+01\n", + "VI NF (t=1.000): it: 17700 | loss: 1.428e+01\n", + "VI NF (t=1.000): it: 17800 | loss: 1.474e+01\n", + "VI NF (t=1.000): it: 17900 | loss: 1.439e+01\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "8.741e-01 -> 8.741e-01\n", - "1.480e-01 -> 1.480e-01\n", - "1.479e+00 -> 1.479e+00\n", - "\n", - "SUR: UPD: it: 0 | loss: 9.295e-03\n", - "SUR: UPD: it: 500 | loss: 5.603e-02\n", - "SUR: UPD: it: 1000 | loss: 1.943e-02\n", - "SUR: UPD: it: 1500 | loss: 1.839e-02\n", - "SUR: UPD: it: 2000 | loss: 1.238e-02\n", - "SUR: UPD: it: 2500 | loss: 1.138e-02\n", - "SUR: UPD: it: 3000 | loss: 9.483e-03\n", - "SUR: UPD: it: 3500 | loss: 9.123e-03\n", - "SUR: UPD: it: 4000 | loss: 9.009e-03\n", - "SUR: UPD: it: 4500 | loss: 8.992e-03\n", - "SUR: UPD: it: 5000 | loss: 8.933e-03\n", - "SUR: UPD: it: 5500 | loss: 8.882e-03\n", + "1.234e+00 -> 1.234e+00\n", + "2.470e-01 -> 2.470e-01\n", + "1.031e+00 -> 1.031e+00\n", + "\n", + "SUR: UPD: it: 0 | loss: 8.455e-03\n", + "SUR: UPD: it: 500 | loss: 2.682e-02\n", + "SUR: UPD: it: 1000 | loss: 1.448e-02\n", + "SUR: UPD: it: 1500 | loss: 1.208e-02\n", + "SUR: UPD: it: 2000 | loss: 8.698e-03\n", + "SUR: UPD: it: 2500 | loss: 8.087e-03\n", + "SUR: UPD: it: 3000 | loss: 7.884e-03\n", + "SUR: UPD: it: 3500 | loss: 7.801e-03\n", + "SUR: UPD: it: 4000 | loss: 7.741e-03\n", + "SUR: UPD: it: 4500 | loss: 7.723e-03\n", + "SUR: UPD: it: 5000 | loss: 7.718e-03\n", + "SUR: UPD: it: 5500 | loss: 7.708e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 17000 | loss: 2.401e+01\n", - "VI NF (t=1.000): it: 17100 | loss: 2.396e+01\n", - "VI NF (t=1.000): it: 17200 | loss: 2.391e+01\n", - "VI NF (t=1.000): it: 17300 | loss: 2.368e+01\n", - "VI NF (t=1.000): it: 17400 | loss: 2.382e+01\n", - "VI NF (t=1.000): it: 17500 | loss: 2.397e+01\n", - "VI NF (t=1.000): it: 17600 | loss: 2.408e+01\n", - "VI NF (t=1.000): it: 17700 | loss: 2.375e+01\n", - "VI NF (t=1.000): it: 17800 | loss: 2.365e+01\n", - "VI NF (t=1.000): it: 17900 | loss: 2.393e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "8.793e-01 -> 8.793e-01\n", - "2.799e-01 -> 2.799e-01\n", - "1.350e+00 -> 1.350e+00\n", - "\n", - "SUR: UPD: it: 0 | loss: 8.734e-03\n", - "SUR: UPD: it: 500 | loss: 2.711e-02\n", - "SUR: UPD: it: 1000 | loss: 1.906e-02\n", - "SUR: UPD: it: 1500 | loss: 9.741e-03\n", - "SUR: UPD: it: 2000 | loss: 1.294e-02\n", - "SUR: UPD: it: 2500 | loss: 9.273e-03\n", - "SUR: UPD: it: 3000 | loss: 8.685e-03\n", - "SUR: UPD: it: 3500 | loss: 8.546e-03\n", - "SUR: UPD: it: 4000 | loss: 8.455e-03\n", - "SUR: UPD: it: 4500 | loss: 8.473e-03\n", - "SUR: UPD: it: 5000 | loss: 8.387e-03\n", - "SUR: UPD: it: 5500 | loss: 8.368e-03\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 18000 | loss: 2.383e+01\n", - "VI NF (t=1.000): it: 18100 | loss: 2.375e+01\n", - "VI NF (t=1.000): it: 18200 | loss: 2.368e+01\n", - "VI NF (t=1.000): it: 18300 | loss: 2.419e+01\n", - "VI NF (t=1.000): it: 18400 | loss: 2.380e+01\n", - "VI NF (t=1.000): it: 18500 | loss: 2.381e+01\n", - "VI NF (t=1.000): it: 18600 | loss: 2.362e+01\n", - "VI NF (t=1.000): it: 18700 | loss: 2.381e+01\n", - "VI NF (t=1.000): it: 18800 | loss: 2.420e+01\n", - "VI NF (t=1.000): it: 18900 | loss: 2.391e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "2.667e-01 -> 2.667e-01\n", - "9.823e-03 -> 1.066e-02\n", - "5.219e-01 -> 5.219e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 8.430e-03\n", - "SUR: UPD: it: 500 | loss: 2.583e-02\n", - "SUR: UPD: it: 1000 | loss: 1.394e-02\n", - "SUR: UPD: it: 1500 | loss: 1.364e-02\n", - "SUR: UPD: it: 2000 | loss: 1.000e-02\n", - "SUR: UPD: it: 2500 | loss: 1.036e-02\n", - "SUR: UPD: it: 3000 | loss: 8.749e-03\n", - "SUR: UPD: it: 3500 | loss: 8.662e-03\n", - "SUR: UPD: it: 4000 | loss: 8.562e-03\n", - "SUR: UPD: it: 4500 | loss: 8.476e-03\n", - "SUR: UPD: it: 5000 | loss: 8.445e-03\n", - "SUR: UPD: it: 5500 | loss: 8.428e-03\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 19000 | loss: 2.401e+01\n", - "VI NF (t=1.000): it: 19100 | loss: 2.381e+01\n", - "VI NF (t=1.000): it: 19200 | loss: 2.388e+01\n", - "VI NF (t=1.000): it: 19300 | loss: 2.402e+01\n", - "VI NF (t=1.000): it: 19400 | loss: 2.407e+01\n", - "VI NF (t=1.000): it: 19500 | loss: 2.396e+01\n", - "VI NF (t=1.000): it: 19600 | loss: 2.413e+01\n", - "VI NF (t=1.000): it: 19700 | loss: 2.375e+01\n", - "VI NF (t=1.000): it: 19800 | loss: 2.396e+01\n", - "VI NF (t=1.000): it: 19900 | loss: 2.364e+01\n", + "VI NF (t=1.000): it: 18000 | loss: 1.504e+01\n", + "VI NF (t=1.000): it: 18100 | loss: 1.370e+01\n", + "VI NF (t=1.000): it: 18200 | loss: 1.368e+01\n", + "VI NF (t=1.000): it: 18300 | loss: 1.359e+01\n", + "VI NF (t=1.000): it: 18400 | loss: 1.351e+01\n", + "VI NF (t=1.000): it: 18500 | loss: 1.329e+01\n", + "VI NF (t=1.000): it: 18600 | loss: 1.372e+01\n", + "VI NF (t=1.000): it: 18700 | loss: 1.361e+01\n", + "VI NF (t=1.000): it: 18800 | loss: 1.349e+01\n", + "VI NF (t=1.000): it: 18900 | loss: 1.346e+01\n", + "VI NF (t=1.000): it: 19000 | loss: 1.342e+01\n", + "VI NF (t=1.000): it: 19100 | loss: 1.369e+01\n", + "VI NF (t=1.000): it: 19200 | loss: 1.385e+01\n", + "VI NF (t=1.000): it: 19300 | loss: 1.416e+01\n", + "VI NF (t=1.000): it: 19400 | loss: 1.337e+01\n", + "VI NF (t=1.000): it: 19500 | loss: 1.420e+01\n", + "VI NF (t=1.000): it: 19600 | loss: 1.331e+01\n", + "VI NF (t=1.000): it: 19700 | loss: 1.353e+01\n", + "VI NF (t=1.000): it: 19800 | loss: 1.322e+01\n", + "VI NF (t=1.000): it: 19900 | loss: 1.342e+01\n", "--- Saving results at iteration 20000\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "7.830e-02 -> 1.945e-01\n", - "4.140e-02 -> 6.283e-03\n", - "1.750e-01 -> 1.750e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 9.128e-03\n", - "SUR: UPD: it: 500 | loss: 5.586e-02\n", - "SUR: UPD: it: 1000 | loss: 1.969e-02\n", - "SUR: UPD: it: 1500 | loss: 1.434e-02\n", - "SUR: UPD: it: 2000 | loss: 1.171e-02\n", - "SUR: UPD: it: 2500 | loss: 9.920e-03\n", - "SUR: UPD: it: 3000 | loss: 9.691e-03\n", - "SUR: UPD: it: 3500 | loss: 9.472e-03\n", - "SUR: UPD: it: 4000 | loss: 9.475e-03\n", - "SUR: UPD: it: 4500 | loss: 9.437e-03\n", - "SUR: UPD: it: 5000 | loss: 9.409e-03\n", - "SUR: UPD: it: 5500 | loss: 9.403e-03\n", + "1.059e+00 -> 1.059e+00\n", + "2.097e-01 -> 2.097e-01\n", + "8.335e-01 -> 8.335e-01\n", + "\n", + "SUR: UPD: it: 0 | loss: 9.802e-03\n", + "SUR: UPD: it: 500 | loss: 1.762e-02\n", + "SUR: UPD: it: 1000 | loss: 1.146e-02\n", + "SUR: UPD: it: 1500 | loss: 8.601e-03\n", + "SUR: UPD: it: 2000 | loss: 8.269e-03\n", + "SUR: UPD: it: 2500 | loss: 7.952e-03\n", + "SUR: UPD: it: 3000 | loss: 8.146e-03\n", + "SUR: UPD: it: 3500 | loss: 7.797e-03\n", + "SUR: UPD: it: 4000 | loss: 7.751e-03\n", + "SUR: UPD: it: 4500 | loss: 7.456e-03\n", + "SUR: UPD: it: 5000 | loss: 7.395e-03\n", + "SUR: UPD: it: 5500 | loss: 7.370e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 20000 | loss: 2.513e+01\n", - "VI NF (t=1.000): it: 20100 | loss: 2.411e+01\n", - "VI NF (t=1.000): it: 20200 | loss: 2.391e+01\n", - "VI NF (t=1.000): it: 20300 | loss: 2.388e+01\n", - "VI NF (t=1.000): it: 20400 | loss: 2.421e+01\n", - "VI NF (t=1.000): it: 20500 | loss: 2.406e+01\n", - "VI NF (t=1.000): it: 20600 | loss: 2.376e+01\n", - "VI NF (t=1.000): it: 20700 | loss: 2.378e+01\n", - "VI NF (t=1.000): it: 20800 | loss: 2.405e+01\n", - "VI NF (t=1.000): it: 20900 | loss: 2.393e+01\n", + "VI NF (t=1.000): it: 20000 | loss: 3.020e+01\n", + "VI NF (t=1.000): it: 20100 | loss: 1.465e+01\n", + "VI NF (t=1.000): it: 20200 | loss: 1.422e+01\n", + "VI NF (t=1.000): it: 20300 | loss: 1.462e+01\n", + "VI NF (t=1.000): it: 20400 | loss: 1.451e+01\n", + "VI NF (t=1.000): it: 20500 | loss: 1.453e+01\n", + "VI NF (t=1.000): it: 20600 | loss: 1.460e+01\n", + "VI NF (t=1.000): it: 20700 | loss: 1.438e+01\n", + "VI NF (t=1.000): it: 20800 | loss: 1.483e+01\n", + "VI NF (t=1.000): it: 20900 | loss: 1.443e+01\n", + "VI NF (t=1.000): it: 21000 | loss: 1.445e+01\n", + "VI NF (t=1.000): it: 21100 | loss: 1.443e+01\n", + "VI NF (t=1.000): it: 21200 | loss: 1.421e+01\n", + "VI NF (t=1.000): it: 21300 | loss: 1.447e+01\n", + "VI NF (t=1.000): it: 21400 | loss: 1.438e+01\n", + "VI NF (t=1.000): it: 21500 | loss: 1.434e+01\n", + "VI NF (t=1.000): it: 21600 | loss: 1.430e+01\n", + "VI NF (t=1.000): it: 21700 | loss: 1.449e+01\n", + "VI NF (t=1.000): it: 21800 | loss: 1.438e+01\n", + "VI NF (t=1.000): it: 21900 | loss: 1.431e+01\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "2.851e-01 -> 2.851e-01\n", - "6.349e-03 -> 6.309e-02\n", - "3.373e-01 -> 3.373e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 1.055e-02\n", - "SUR: UPD: it: 500 | loss: 3.019e-02\n", - "SUR: UPD: it: 1000 | loss: 1.422e-02\n", - "SUR: UPD: it: 1500 | loss: 1.338e-02\n", - "SUR: UPD: it: 2000 | loss: 1.238e-02\n", - "SUR: UPD: it: 2500 | loss: 9.835e-03\n", - "SUR: UPD: it: 3000 | loss: 9.416e-03\n", - "SUR: UPD: it: 3500 | loss: 9.168e-03\n", - "SUR: UPD: it: 4000 | loss: 9.004e-03\n", - "SUR: UPD: it: 4500 | loss: 8.917e-03\n", - "SUR: UPD: it: 5000 | loss: 8.896e-03\n", - "SUR: UPD: it: 5500 | loss: 8.863e-03\n", + "7.957e-01 -> 7.957e-01\n", + "1.420e-01 -> 1.420e-01\n", + "6.768e-01 -> 6.768e-01\n", + "\n", + "SUR: UPD: it: 0 | loss: 8.367e-03\n", + "SUR: UPD: it: 500 | loss: 3.655e-02\n", + "SUR: UPD: it: 1000 | loss: 1.711e-02\n", + "SUR: UPD: it: 1500 | loss: 1.079e-02\n", + "SUR: UPD: it: 2000 | loss: 1.149e-02\n", + "SUR: UPD: it: 2500 | loss: 8.709e-03\n", + "SUR: UPD: it: 3000 | loss: 8.401e-03\n", + "SUR: UPD: it: 3500 | loss: 8.386e-03\n", + "SUR: UPD: it: 4000 | loss: 8.320e-03\n", + "SUR: UPD: it: 4500 | loss: 8.297e-03\n", + "SUR: UPD: it: 5000 | loss: 8.287e-03\n", + "SUR: UPD: it: 5500 | loss: 8.279e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 21000 | loss: 2.430e+01\n", - "VI NF (t=1.000): it: 21100 | loss: 2.415e+01\n", - "VI NF (t=1.000): it: 21200 | loss: 2.372e+01\n", - "VI NF (t=1.000): it: 21300 | loss: 2.395e+01\n", - "VI NF (t=1.000): it: 21400 | loss: 2.402e+01\n", - "VI NF (t=1.000): it: 21500 | loss: 2.363e+01\n", - "VI NF (t=1.000): it: 21600 | loss: 2.382e+01\n", - "VI NF (t=1.000): it: 21700 | loss: 2.380e+01\n", - "VI NF (t=1.000): it: 21800 | loss: 2.395e+01\n", - "VI NF (t=1.000): it: 21900 | loss: 2.381e+01\n", + "VI NF (t=1.000): it: 22000 | loss: 1.504e+01\n", + "VI NF (t=1.000): it: 22100 | loss: 1.453e+01\n", + "VI NF (t=1.000): it: 22200 | loss: 1.445e+01\n", + "VI NF (t=1.000): it: 22300 | loss: 1.423e+01\n", + "VI NF (t=1.000): it: 22400 | loss: 1.459e+01\n", + "VI NF (t=1.000): it: 22500 | loss: 1.452e+01\n", + "VI NF (t=1.000): it: 22600 | loss: 1.451e+01\n", + "VI NF (t=1.000): it: 22700 | loss: 1.436e+01\n", + "VI NF (t=1.000): it: 22800 | loss: 1.427e+01\n", + "VI NF (t=1.000): it: 22900 | loss: 1.434e+01\n", + "VI NF (t=1.000): it: 23000 | loss: 1.460e+01\n", + "VI NF (t=1.000): it: 23100 | loss: 1.473e+01\n", + "VI NF (t=1.000): it: 23200 | loss: 1.442e+01\n", + "VI NF (t=1.000): it: 23300 | loss: 1.438e+01\n", + "VI NF (t=1.000): it: 23400 | loss: 1.434e+01\n", + "VI NF (t=1.000): it: 23500 | loss: 1.430e+01\n", + "VI NF (t=1.000): it: 23600 | loss: 1.440e+01\n", + "VI NF (t=1.000): it: 23700 | loss: 1.444e+01\n", + "VI NF (t=1.000): it: 23800 | loss: 1.423e+01\n", + "VI NF (t=1.000): it: 23900 | loss: 1.454e+01\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "1.327e+00 -> 1.327e+00\n", - "4.394e-01 -> 4.394e-01\n", - "2.329e+00 -> 2.329e+00\n", - "\n", - "SUR: UPD: it: 0 | loss: 9.883e-03\n", - "SUR: UPD: it: 500 | loss: 4.144e-02\n", - "SUR: UPD: it: 1000 | loss: 2.172e-02\n", - "SUR: UPD: it: 1500 | loss: 1.453e-02\n", - "SUR: UPD: it: 2000 | loss: 1.272e-02\n", - "SUR: UPD: it: 2500 | loss: 1.099e-02\n", - "SUR: UPD: it: 3000 | loss: 1.024e-02\n", - "SUR: UPD: it: 3500 | loss: 1.010e-02\n", - "SUR: UPD: it: 4000 | loss: 1.004e-02\n", - "SUR: UPD: it: 4500 | loss: 9.949e-03\n", - "SUR: UPD: it: 5000 | loss: 9.930e-03\n", - "SUR: UPD: it: 5500 | loss: 9.918e-03\n", + "1.295e+00 -> 1.295e+00\n", + "2.005e-01 -> 2.005e-01\n", + "1.115e+00 -> 1.115e+00\n", + "\n", + "SUR: UPD: it: 0 | loss: 8.890e-03\n", + "SUR: UPD: it: 500 | loss: 3.794e-02\n", + "SUR: UPD: it: 1000 | loss: 2.478e-02\n", + "SUR: UPD: it: 1500 | loss: 1.325e-02\n", + "SUR: UPD: it: 2000 | loss: 9.639e-03\n", + "SUR: UPD: it: 2500 | loss: 8.081e-03\n", + "SUR: UPD: it: 3000 | loss: 8.381e-03\n", + "SUR: UPD: it: 3500 | loss: 8.005e-03\n", + "SUR: UPD: it: 4000 | loss: 7.941e-03\n", + "SUR: UPD: it: 4500 | loss: 7.923e-03\n", + "SUR: UPD: it: 5000 | loss: 7.912e-03\n", + "SUR: UPD: it: 5500 | loss: 7.897e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 22000 | loss: 2.528e+01\n", - "VI NF (t=1.000): it: 22100 | loss: 2.387e+01\n", - "VI NF (t=1.000): it: 22200 | loss: 2.379e+01\n", - "VI NF (t=1.000): it: 22300 | loss: 2.414e+01\n", - "VI NF (t=1.000): it: 22400 | loss: 2.434e+01\n", - "VI NF (t=1.000): it: 22500 | loss: 2.386e+01\n", - "VI NF (t=1.000): it: 22600 | loss: 2.390e+01\n", - "VI NF (t=1.000): it: 22700 | loss: 2.401e+01\n", - "VI NF (t=1.000): it: 22800 | loss: 2.396e+01\n", - "VI NF (t=1.000): it: 22900 | loss: 2.375e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "1.464e+00 -> 1.464e+00\n", - "3.185e-01 -> 3.185e-01\n", - "2.434e+00 -> 2.434e+00\n", - "\n", - "SUR: UPD: it: 0 | loss: 1.823e-02\n", - "SUR: UPD: it: 500 | loss: 4.369e-02\n", - "SUR: UPD: it: 1000 | loss: 2.707e-02\n", - "SUR: UPD: it: 1500 | loss: 1.524e-02\n", - "SUR: UPD: it: 2000 | loss: 1.061e-02\n", - "SUR: UPD: it: 2500 | loss: 1.015e-02\n", - "SUR: UPD: it: 3000 | loss: 9.985e-03\n", - "SUR: UPD: it: 3500 | loss: 9.877e-03\n", - "SUR: UPD: it: 4000 | loss: 9.779e-03\n", - "SUR: UPD: it: 4500 | loss: 9.640e-03\n", - "SUR: UPD: it: 5000 | loss: 9.616e-03\n", - "SUR: UPD: it: 5500 | loss: 9.603e-03\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 23000 | loss: 2.554e+01\n", - "VI NF (t=1.000): it: 23100 | loss: 2.414e+01\n", - "VI NF (t=1.000): it: 23200 | loss: 2.399e+01\n", - "VI NF (t=1.000): it: 23300 | loss: 2.398e+01\n", - "VI NF (t=1.000): it: 23400 | loss: 2.399e+01\n", - "VI NF (t=1.000): it: 23500 | loss: 2.394e+01\n", - "VI NF (t=1.000): it: 23600 | loss: 2.367e+01\n", - "VI NF (t=1.000): it: 23700 | loss: 2.401e+01\n", - "VI NF (t=1.000): it: 23800 | loss: 2.392e+01\n", - "VI NF (t=1.000): it: 23900 | loss: 2.390e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "2.651e-01 -> 2.651e-01\n", - "5.581e-03 -> 9.331e-02\n", - "4.532e-01 -> 4.532e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 9.721e-03\n", - "SUR: UPD: it: 500 | loss: 7.374e-02\n", - "SUR: UPD: it: 1000 | loss: 3.779e-02\n", - "SUR: UPD: it: 1500 | loss: 3.504e-02\n", - "SUR: UPD: it: 2000 | loss: 2.774e-02\n", - "SUR: UPD: it: 2500 | loss: 2.436e-02\n", - "SUR: UPD: it: 3000 | loss: 2.420e-02\n", - "SUR: UPD: it: 3500 | loss: 2.402e-02\n", - "SUR: UPD: it: 4000 | loss: 2.391e-02\n", - "SUR: UPD: it: 4500 | loss: 2.384e-02\n", - "SUR: UPD: it: 5000 | loss: 2.381e-02\n", - "SUR: UPD: it: 5500 | loss: 2.380e-02\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 24000 | loss: 2.451e+01\n", - "VI NF (t=1.000): it: 24100 | loss: 2.421e+01\n", - "VI NF (t=1.000): it: 24200 | loss: 2.414e+01\n", - "VI NF (t=1.000): it: 24300 | loss: 2.407e+01\n", - "VI NF (t=1.000): it: 24400 | loss: 2.391e+01\n", - "VI NF (t=1.000): it: 24500 | loss: 2.404e+01\n", - "VI NF (t=1.000): it: 24600 | loss: 2.400e+01\n", - "VI NF (t=1.000): it: 24700 | loss: 2.413e+01\n", - "VI NF (t=1.000): it: 24800 | loss: 2.393e+01\n", - "VI NF (t=1.000): it: 24900 | loss: 2.389e+01\n", + "VI NF (t=1.000): it: 24000 | loss: 1.454e+01\n", + "VI NF (t=1.000): it: 24100 | loss: 1.494e+01\n", + "VI NF (t=1.000): it: 24200 | loss: 1.467e+01\n", + "VI NF (t=1.000): it: 24300 | loss: 1.448e+01\n", + "VI NF (t=1.000): it: 24400 | loss: 1.447e+01\n", + "VI NF (t=1.000): it: 24500 | loss: 1.428e+01\n", + "VI NF (t=1.000): it: 24600 | loss: 1.429e+01\n", + "VI NF (t=1.000): it: 24700 | loss: 1.424e+01\n", + "VI NF (t=1.000): it: 24800 | loss: 1.435e+01\n", + "VI NF (t=1.000): it: 24900 | loss: 1.435e+01\n", "--- Saving results at iteration 25000\n", + "VI NF (t=1.000): it: 25000 | loss: 1.444e+01\n", + "VI NF (t=1.000): it: 25100 | loss: 1.430e+01\n", + "VI NF (t=1.000): it: 25200 | loss: 1.458e+01\n", + "VI NF (t=1.000): it: 25300 | loss: 1.441e+01\n", + "VI NF (t=1.000): it: 25400 | loss: 1.450e+01\n", + "VI NF (t=1.000): it: 25500 | loss: 1.444e+01\n", + "VI NF (t=1.000): it: 25600 | loss: 1.436e+01\n", + "VI NF (t=1.000): it: 25700 | loss: 1.439e+01\n", + "VI NF (t=1.000): it: 25800 | loss: 1.432e+01\n", + "VI NF (t=1.000): it: 25900 | loss: 1.419e+01\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "1.094e-01 -> 1.094e-01\n", - "1.681e-02 -> 1.561e-02\n", - "2.576e-01 -> 2.576e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 2.357e-02\n", - "SUR: UPD: it: 500 | loss: 6.962e-02\n", - "SUR: UPD: it: 1000 | loss: 5.116e-02\n", - "SUR: UPD: it: 1500 | loss: 3.484e-02\n", - "SUR: UPD: it: 2000 | loss: 3.324e-02\n", - "SUR: UPD: it: 2500 | loss: 3.041e-02\n", - "SUR: UPD: it: 3000 | loss: 2.997e-02\n", - "SUR: UPD: it: 3500 | loss: 2.965e-02\n", - "SUR: UPD: it: 4000 | loss: 2.940e-02\n", - "SUR: UPD: it: 4500 | loss: 2.930e-02\n", - "SUR: UPD: it: 5000 | loss: 2.921e-02\n", - "SUR: UPD: it: 5500 | loss: 2.915e-02\n", + "1.270e+00 -> 1.270e+00\n", + "2.037e-01 -> 2.037e-01\n", + "1.074e+00 -> 1.074e+00\n", + "\n", + "SUR: UPD: it: 0 | loss: 8.751e-03\n", + "SUR: UPD: it: 500 | loss: 2.133e-02\n", + "SUR: UPD: it: 1000 | loss: 1.543e-02\n", + "SUR: UPD: it: 1500 | loss: 9.633e-03\n", + "SUR: UPD: it: 2000 | loss: 8.970e-03\n", + "SUR: UPD: it: 2500 | loss: 7.965e-03\n", + "SUR: UPD: it: 3000 | loss: 7.817e-03\n", + "SUR: UPD: it: 3500 | loss: 7.688e-03\n", + "SUR: UPD: it: 4000 | loss: 7.617e-03\n", + "SUR: UPD: it: 4500 | loss: 7.579e-03\n", + "SUR: UPD: it: 5000 | loss: 7.561e-03\n", + "SUR: UPD: it: 5500 | loss: 7.546e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 25000 | loss: 2.426e+01\n", - "VI NF (t=1.000): it: 25100 | loss: 2.418e+01\n", - "VI NF (t=1.000): it: 25200 | loss: 2.410e+01\n", - "VI NF (t=1.000): it: 25300 | loss: 2.427e+01\n", - "VI NF (t=1.000): it: 25400 | loss: 2.422e+01\n", - "VI NF (t=1.000): it: 25500 | loss: 2.425e+01\n", - "VI NF (t=1.000): it: 25600 | loss: 2.439e+01\n", - "VI NF (t=1.000): it: 25700 | loss: 2.413e+01\n", - "VI NF (t=1.000): it: 25800 | loss: 2.432e+01\n", - "VI NF (t=1.000): it: 25900 | loss: 2.401e+01\n", + "VI NF (t=1.000): it: 26000 | loss: 1.456e+01\n", + "VI NF (t=1.000): it: 26100 | loss: 1.433e+01\n", + "VI NF (t=1.000): it: 26200 | loss: 1.442e+01\n", + "VI NF (t=1.000): it: 26300 | loss: 1.441e+01\n", + "VI NF (t=1.000): it: 26400 | loss: 1.418e+01\n", + "VI NF (t=1.000): it: 26500 | loss: 1.420e+01\n", + "VI NF (t=1.000): it: 26600 | loss: 1.403e+01\n", + "VI NF (t=1.000): it: 26700 | loss: 1.417e+01\n", + "VI NF (t=1.000): it: 26800 | loss: 1.406e+01\n", + "VI NF (t=1.000): it: 26900 | loss: 1.414e+01\n", + "VI NF (t=1.000): it: 27000 | loss: 1.386e+01\n", + "VI NF (t=1.000): it: 27100 | loss: 1.416e+01\n", + "VI NF (t=1.000): it: 27200 | loss: 1.411e+01\n", + "VI NF (t=1.000): it: 27300 | loss: 1.389e+01\n", + "VI NF (t=1.000): it: 27400 | loss: 1.390e+01\n", + "VI NF (t=1.000): it: 27500 | loss: 1.394e+01\n", + "VI NF (t=1.000): it: 27600 | loss: 1.387e+01\n", + "VI NF (t=1.000): it: 27700 | loss: 1.399e+01\n", + "VI NF (t=1.000): it: 27800 | loss: 1.397e+01\n", + "VI NF (t=1.000): it: 27900 | loss: 1.390e+01\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "4.243e-01 -> 4.243e-01\n", - "1.865e-01 -> 1.865e-01\n", - "7.046e-01 -> 7.046e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 2.886e-02\n", - "SUR: UPD: it: 500 | loss: 7.227e-02\n", - "SUR: UPD: it: 1000 | loss: 4.505e-02\n", - "SUR: UPD: it: 1500 | loss: 3.233e-02\n", - "SUR: UPD: it: 2000 | loss: 2.860e-02\n", - "SUR: UPD: it: 2500 | loss: 2.693e-02\n", - "SUR: UPD: it: 3000 | loss: 2.654e-02\n", - "SUR: UPD: it: 3500 | loss: 2.644e-02\n", - "SUR: UPD: it: 4000 | loss: 2.627e-02\n", - "SUR: UPD: it: 4500 | loss: 2.621e-02\n", - "SUR: UPD: it: 5000 | loss: 2.616e-02\n", - "SUR: UPD: it: 5500 | loss: 2.613e-02\n", + "1.122e+00 -> 1.122e+00\n", + "2.231e-01 -> 2.231e-01\n", + "9.821e-01 -> 9.821e-01\n", + "\n", + "SUR: UPD: it: 0 | loss: 7.862e-03\n", + "SUR: UPD: it: 500 | loss: 3.490e-02\n", + "SUR: UPD: it: 1000 | loss: 2.687e-02\n", + "SUR: UPD: it: 1500 | loss: 1.217e-02\n", + "SUR: UPD: it: 2000 | loss: 1.078e-02\n", + "SUR: UPD: it: 2500 | loss: 9.230e-03\n", + "SUR: UPD: it: 3000 | loss: 8.602e-03\n", + "SUR: UPD: it: 3500 | loss: 8.587e-03\n", + "SUR: UPD: it: 4000 | loss: 8.493e-03\n", + "SUR: UPD: it: 4500 | loss: 8.455e-03\n", + "SUR: UPD: it: 5000 | loss: 8.435e-03\n", + "SUR: UPD: it: 5500 | loss: 8.422e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 26000 | loss: 2.598e+01\n", - "VI NF (t=1.000): it: 26100 | loss: 2.487e+01\n", - "VI NF (t=1.000): it: 26200 | loss: 2.410e+01\n", - "VI NF (t=1.000): it: 26300 | loss: 2.439e+01\n", - "VI NF (t=1.000): it: 26400 | loss: 2.433e+01\n", - "VI NF (t=1.000): it: 26500 | loss: 2.431e+01\n", - "VI NF (t=1.000): it: 26600 | loss: 2.432e+01\n", - "VI NF (t=1.000): it: 26700 | loss: 2.434e+01\n", - "VI NF (t=1.000): it: 26800 | loss: 2.443e+01\n", - "VI NF (t=1.000): it: 26900 | loss: 2.423e+01\n", + "VI NF (t=1.000): it: 28000 | loss: 1.584e+01\n", + "VI NF (t=1.000): it: 28100 | loss: 1.460e+01\n", + "VI NF (t=1.000): it: 28200 | loss: 1.428e+01\n", + "VI NF (t=1.000): it: 28300 | loss: 1.445e+01\n", + "VI NF (t=1.000): it: 28400 | loss: 1.438e+01\n", + "VI NF (t=1.000): it: 28500 | loss: 1.444e+01\n", + "VI NF (t=1.000): it: 28600 | loss: 1.453e+01\n", + "VI NF (t=1.000): it: 28700 | loss: 1.432e+01\n", + "VI NF (t=1.000): it: 28800 | loss: 1.439e+01\n", + "VI NF (t=1.000): it: 28900 | loss: 1.415e+01\n", + "VI NF (t=1.000): it: 29000 | loss: 1.446e+01\n", + "VI NF (t=1.000): it: 29100 | loss: 1.416e+01\n", + "VI NF (t=1.000): it: 29200 | loss: 1.440e+01\n", + "VI NF (t=1.000): it: 29300 | loss: 1.433e+01\n", + "VI NF (t=1.000): it: 29400 | loss: 1.439e+01\n", + "VI NF (t=1.000): it: 29500 | loss: 1.424e+01\n", + "VI NF (t=1.000): it: 29600 | loss: 1.419e+01\n", + "VI NF (t=1.000): it: 29700 | loss: 1.448e+01\n", + "VI NF (t=1.000): it: 29800 | loss: 1.437e+01\n", + "VI NF (t=1.000): it: 29900 | loss: 1.429e+01\n", + "--- Saving results at iteration 30000\n", "\n", "--- Updating surrogate model\n", "\n", "Std before inflation -> Std after inflation\n", - "6.479e-01 -> 6.479e-01\n", - "2.321e-01 -> 2.321e-01\n", - "9.787e-01 -> 9.787e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 2.604e-02\n", - "SUR: UPD: it: 500 | loss: 5.884e-02\n", - "SUR: UPD: it: 1000 | loss: 4.277e-02\n", - "SUR: UPD: it: 1500 | loss: 3.187e-02\n", - "SUR: UPD: it: 2000 | loss: 2.454e-02\n", - "SUR: UPD: it: 2500 | loss: 2.328e-02\n", - "SUR: UPD: it: 3000 | loss: 2.254e-02\n", - "SUR: UPD: it: 3500 | loss: 2.221e-02\n", - "SUR: UPD: it: 4000 | loss: 2.199e-02\n", - "SUR: UPD: it: 4500 | loss: 2.184e-02\n", - "SUR: UPD: it: 5000 | loss: 2.174e-02\n", - "SUR: UPD: it: 5500 | loss: 2.167e-02\n", + "9.975e-01 -> 9.975e-01\n", + "1.514e-01 -> 1.514e-01\n", + "8.440e-01 -> 8.440e-01\n", + "\n", + "SUR: UPD: it: 0 | loss: 8.973e-03\n", + "SUR: UPD: it: 500 | loss: 1.651e-02\n", + "SUR: UPD: it: 1000 | loss: 1.149e-02\n", + "SUR: UPD: it: 1500 | loss: 1.073e-02\n", + "SUR: UPD: it: 2000 | loss: 9.465e-03\n", + "SUR: UPD: it: 2500 | loss: 7.366e-03\n", + "SUR: UPD: it: 3000 | loss: 6.858e-03\n", + "SUR: UPD: it: 3500 | loss: 6.772e-03\n", + "SUR: UPD: it: 4000 | loss: 6.656e-03\n", + "SUR: UPD: it: 4500 | loss: 6.615e-03\n", + "SUR: UPD: it: 5000 | loss: 6.491e-03\n", + "SUR: UPD: it: 5500 | loss: 6.378e-03\n", "\n", "--- Surrogate model updated\n", "\n", - "VI NF (t=1.000): it: 27000 | loss: 2.509e+01\n", - "VI NF (t=1.000): it: 27100 | loss: 2.467e+01\n", - "VI NF (t=1.000): it: 27200 | loss: 2.456e+01\n", - "VI NF (t=1.000): it: 27300 | loss: 2.446e+01\n", - "VI NF (t=1.000): it: 27400 | loss: 2.439e+01\n", - "VI NF (t=1.000): it: 27500 | loss: 2.494e+01\n", - "VI NF (t=1.000): it: 27600 | loss: 2.451e+01\n", - "VI NF (t=1.000): it: 27700 | loss: 2.467e+01\n", - "VI NF (t=1.000): it: 27800 | loss: 2.473e+01\n", - "VI NF (t=1.000): it: 27900 | loss: 2.445e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "1.008e+00 -> 1.008e+00\n", - "1.046e-01 -> 1.046e-01\n", - "1.840e+00 -> 1.840e+00\n", - "\n", - "SUR: UPD: it: 0 | loss: 2.142e-02\n", - "SUR: UPD: it: 500 | loss: 6.075e-02\n", - "SUR: UPD: it: 1000 | loss: 3.656e-02\n", - "SUR: UPD: it: 1500 | loss: 2.359e-02\n", - "SUR: UPD: it: 2000 | loss: 2.064e-02\n", - "SUR: UPD: it: 2500 | loss: 1.793e-02\n", - "SUR: UPD: it: 3000 | loss: 1.756e-02\n", - "SUR: UPD: it: 3500 | loss: 1.708e-02\n", - "SUR: UPD: it: 4000 | loss: 1.699e-02\n", - "SUR: UPD: it: 4500 | loss: 1.695e-02\n", - "SUR: UPD: it: 5000 | loss: 1.693e-02\n", - "SUR: UPD: it: 5500 | loss: 1.692e-02\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 28000 | loss: 2.551e+01\n", - "VI NF (t=1.000): it: 28100 | loss: 2.417e+01\n", - "VI NF (t=1.000): it: 28200 | loss: 2.402e+01\n", - "VI NF (t=1.000): it: 28300 | loss: 2.391e+01\n", - "VI NF (t=1.000): it: 28400 | loss: 2.405e+01\n", - "VI NF (t=1.000): it: 28500 | loss: 2.406e+01\n", - "VI NF (t=1.000): it: 28600 | loss: 2.413e+01\n", - "VI NF (t=1.000): it: 28700 | loss: 2.409e+01\n", - "VI NF (t=1.000): it: 28800 | loss: 2.394e+01\n", - "VI NF (t=1.000): it: 28900 | loss: 2.415e+01\n", - "\n", - "--- Updating surrogate model\n", - "\n", - "Std before inflation -> Std after inflation\n", - "1.621e-01 -> 1.621e-01\n", - "1.489e-02 -> 6.509e-02\n", - "3.233e-01 -> 3.233e-01\n", - "\n", - "SUR: UPD: it: 0 | loss: 1.702e-02\n", - "SUR: UPD: it: 500 | loss: 8.995e-02\n", - "SUR: UPD: it: 1000 | loss: 2.719e-02\n", - "SUR: UPD: it: 1500 | loss: 2.149e-02\n", - "SUR: UPD: it: 2000 | loss: 1.759e-02\n", - "SUR: UPD: it: 2500 | loss: 1.725e-02\n", - "SUR: UPD: it: 3000 | loss: 1.621e-02\n", - "SUR: UPD: it: 3500 | loss: 1.621e-02\n", - "SUR: UPD: it: 4000 | loss: 1.600e-02\n", - "SUR: UPD: it: 4500 | loss: 1.596e-02\n", - "SUR: UPD: it: 5000 | loss: 1.593e-02\n", - "SUR: UPD: it: 5500 | loss: 1.592e-02\n", - "\n", - "--- Surrogate model updated\n", - "\n", - "VI NF (t=1.000): it: 29000 | loss: 2.414e+01\n", - "VI NF (t=1.000): it: 29100 | loss: 2.417e+01\n", - "VI NF (t=1.000): it: 29200 | loss: 2.420e+01\n", - "VI NF (t=1.000): it: 29300 | loss: 2.423e+01\n", - "VI NF (t=1.000): it: 29400 | loss: 2.395e+01\n", - "VI NF (t=1.000): it: 29500 | loss: 2.416e+01\n", - "VI NF (t=1.000): it: 29600 | loss: 2.380e+01\n", - "VI NF (t=1.000): it: 29700 | loss: 2.413e+01\n", - "VI NF (t=1.000): it: 29800 | loss: 2.404e+01\n", + "VI NF (t=1.000): it: 30000 | loss: 1.536e+01\n", + "VI NF (t=1.000): it: 30100 | loss: 1.448e+01\n", + "VI NF (t=1.000): it: 30200 | loss: 1.406e+01\n", + "VI NF (t=1.000): it: 30300 | loss: 1.417e+01\n", + "VI NF (t=1.000): it: 30400 | loss: 1.405e+01\n", + "VI NF (t=1.000): it: 30500 | loss: 1.387e+01\n", + "VI NF (t=1.000): it: 30600 | loss: 1.397e+01\n", + "VI NF (t=1.000): it: 30700 | loss: 1.400e+01\n", + "VI NF (t=1.000): it: 30800 | loss: 1.402e+01\n", + "VI NF (t=1.000): it: 30900 | loss: 1.388e+01\n", "\n", "--- Simulation completed!\n" ] @@ -2319,9 +2193,7 @@ ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "1db890af", "metadata": {}, "source": [ "We generate plots with the same command we used for full model inference, but a different folder name." @@ -2329,8 +2201,7 @@ }, { "cell_type": "code", - "execution_count": 78, - "id": "10bb6904", + "execution_count": 45, "metadata": {}, "outputs": [ { @@ -2345,61 +2216,156 @@ ], "source": [ "import linfa\n", - "! python3 -m linfa.plot_res -n phys_surr_3d -i 25000 -f \"./\" -p 'png' -d" + "! python3 -m linfa.plot_res -n phys_surr_3d -i 30000 -f \"./\" -p 'png' -d" ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "63dcbf7a", "metadata": {}, "source": [ "You can now visualize the results" ] }, { - "attachments": {}, - "cell_type": "markdown", - "id": "6541105d", + "cell_type": "code", + "execution_count": 46, + "id": "a43069fa", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "image/png": { + "width": 300 + } + }, + "output_type": "display_data" + } + ], "source": [ - "

\n", - "\n", - "
Figure: Loss profile
" + "from IPython.display import Image, display\n", + "display(Image(filename='phys_surr_3d/log_plot.png',width=300))" ] }, { - "attachments": {}, - "cell_type": "markdown", - "id": "d950d869", + "cell_type": "code", + "execution_count": 47, + "id": "c48d9bf2", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "image/png": { + "width": 300 + } + }, + "output_type": "display_data" + } + ], "source": [ - "
\n", - "\n", - "

\n", - "\n", - "
Figure: Two-dimensional slices from the predictive posterior distribution.
" + "from IPython.display import Image, display\n", + "display(Image(filename='phys_surr_3d/data_plot_phys_surr_3d_30000_0_1.png',width=300))\n", + "display(Image(filename='phys_surr_3d/data_plot_phys_surr_3d_30000_0_2.png',width=300))\n", + "display(Image(filename='phys_surr_3d/data_plot_phys_surr_3d_30000_1_2.png',width=300))" ] }, { - "attachments": {}, - "cell_type": "markdown", - "id": "fe668055", + "cell_type": "code", + "execution_count": 48, + "id": "87dbffdc", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", + "text/plain": [ + "" + ] + }, + "metadata": { + "image/png": { + "width": 300 + } + }, + "output_type": "display_data" + } + ], "source": [ - "
\n", - "\n", - "\n", - "\n", - "

\n", - "\n", - "
Figure: Two-dimensional slices from posterior distribution.
" + "from IPython.display import Image, display\n", + "display(Image(filename='phys_surr_3d/params_plot_phys_surr_3d_30000_0_1.png',width=300))\n", + "display(Image(filename='phys_surr_3d/params_plot_phys_surr_3d_30000_0_2.png',width=300))\n", + "display(Image(filename='phys_surr_3d/params_plot_phys_surr_3d_30000_1_2.png',width=300))" ] }, { - "attachments": {}, "cell_type": "markdown", - "id": "440c581f", "metadata": {}, "source": [] }