From 113b3fd658e8a1c3a5ddc42d75c9aa6d9660e2ad Mon Sep 17 00:00:00 2001 From: GilesStrong Date: Sat, 10 Feb 2024 15:27:53 +0900 Subject: [PATCH 1/3] Refactor: example dirs --- .../00_Hello_World.ipynb | 0 .../01_Indepth_tutorial_single_cycle.ipynb | 0 ...h_tutorial_optimisation_and_callbacks.ipynb | 0 .../03_fixed_budget_mode.ipynb | 0 .../panel_detectors/imgs/panel detector.png | Bin 34681 -> 0 bytes .../panel_detectors/imgs/volume_layout.png | Bin 327337 -> 0 bytes 6 files changed, 0 insertions(+), 0 deletions(-) rename examples/{panel_detectors => getting_started}/00_Hello_World.ipynb (100%) rename examples/{panel_detectors => getting_started}/01_Indepth_tutorial_single_cycle.ipynb (100%) rename examples/{panel_detectors => getting_started}/02_Indepth_tutorial_optimisation_and_callbacks.ipynb (100%) rename examples/{panel_detectors => getting_started}/03_fixed_budget_mode.ipynb (100%) delete mode 100644 examples/panel_detectors/imgs/panel detector.png delete mode 100644 examples/panel_detectors/imgs/volume_layout.png diff --git a/examples/panel_detectors/00_Hello_World.ipynb b/examples/getting_started/00_Hello_World.ipynb similarity index 100% rename from examples/panel_detectors/00_Hello_World.ipynb rename to examples/getting_started/00_Hello_World.ipynb diff --git a/examples/panel_detectors/01_Indepth_tutorial_single_cycle.ipynb b/examples/getting_started/01_Indepth_tutorial_single_cycle.ipynb similarity index 100% rename from examples/panel_detectors/01_Indepth_tutorial_single_cycle.ipynb rename to examples/getting_started/01_Indepth_tutorial_single_cycle.ipynb diff --git a/examples/panel_detectors/02_Indepth_tutorial_optimisation_and_callbacks.ipynb b/examples/getting_started/02_Indepth_tutorial_optimisation_and_callbacks.ipynb similarity index 100% rename from examples/panel_detectors/02_Indepth_tutorial_optimisation_and_callbacks.ipynb rename to examples/getting_started/02_Indepth_tutorial_optimisation_and_callbacks.ipynb diff --git a/examples/panel_detectors/03_fixed_budget_mode.ipynb b/examples/getting_started/03_fixed_budget_mode.ipynb similarity index 100% rename from examples/panel_detectors/03_fixed_budget_mode.ipynb rename to examples/getting_started/03_fixed_budget_mode.ipynb diff --git a/examples/panel_detectors/imgs/panel detector.png b/examples/panel_detectors/imgs/panel detector.png deleted file mode 100644 index 64f3313bf398544df18d8996d79465711a777f05..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 34681 zcmc$_Ra{i>7d}cONQp>?ibyKW5W=V+og$5-bPNO14FV#mgh)4ng!CZYN_WjL3=APX zNDR$?qu<{-H|OSj&c(R`hP~olYrX4v*4hxMsjfgy%1DZXgF~*QDEATv2N!~agLmTw z5%5V42gCsfCkRJL?%69ZldTM5FXqXH%ifLoPi0Fbk5!W2=wO{49Yb#x(rY`R@26R) zQnJ9S1kFCIv#8cvQQvq#aD(LCQ^laSkFl%BgG|Jk24xD4#MS=Lmcd|vaJ3ZsZn?E* zE7lvSFt?u}+&DIHzPbgn85$L#jq0|j)aU#E_N7#ARD3;4Y2i6O$=9`f(}FO$UWc9q zsR*Jc_7&ESHpJv96L&AN#uh%8f4(fSt}!qxe>3(a^;Y03pXVq~kV!<(tyet$IR~9% 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Mon, 12 Feb 2024 13:10:28 +0900 Subject: [PATCH 2/3] Examples: Add ladle benchamark --- examples/benchmarks/ladle_furnace.ipynb | 3441 +++++++++++++++++ .../ladle_furnace_plots/baseline_bias.pdf | Bin 0 -> 17010 bytes .../ladle_furnace_plots/baseline_mse.pdf | Bin 0 -> 22077 bytes .../baseline_predictions.pdf | Bin 0 -> 15986 bytes .../ladle_furnace_plots/initial_bias.pdf | Bin 0 -> 16471 bytes .../ladle_furnace_plots/initial_mse.pdf | Bin 0 -> 20644 bytes .../initial_predictions.pdf | Bin 0 -> 14760 bytes .../ladle_furnace_plots/optimised_2_bias.pdf | Bin 0 -> 16970 bytes .../ladle_furnace_plots/optimised_2_mse.pdf | Bin 0 -> 21181 bytes .../optimised_2_predictions.pdf | Bin 0 -> 14968 bytes .../ladle_furnace_plots/optimised_bias.pdf | Bin 0 -> 16609 bytes .../ladle_furnace_plots/optimised_mse.pdf | Bin 0 -> 21173 bytes .../optimised_predictions.pdf | Bin 0 -> 15481 bytes examples/getting_started/00_Hello_World.ipynb | 109 +- tomopt/benchmarks/ladle_furnace/inference.py | 4 +- .../optimisation/callbacks/opt_callbacks.py | 2 +- 16 files changed, 3470 insertions(+), 86 deletions(-) create mode 100644 examples/benchmarks/ladle_furnace.ipynb create mode 100644 examples/benchmarks/ladle_furnace_plots/baseline_bias.pdf create mode 100644 examples/benchmarks/ladle_furnace_plots/baseline_mse.pdf create mode 100644 examples/benchmarks/ladle_furnace_plots/baseline_predictions.pdf create mode 100644 examples/benchmarks/ladle_furnace_plots/initial_bias.pdf create mode 100644 examples/benchmarks/ladle_furnace_plots/initial_mse.pdf create mode 100644 examples/benchmarks/ladle_furnace_plots/initial_predictions.pdf create mode 100644 examples/benchmarks/ladle_furnace_plots/optimised_2_bias.pdf create mode 100644 examples/benchmarks/ladle_furnace_plots/optimised_2_mse.pdf create mode 100644 examples/benchmarks/ladle_furnace_plots/optimised_2_predictions.pdf create mode 100644 examples/benchmarks/ladle_furnace_plots/optimised_bias.pdf create mode 100644 examples/benchmarks/ladle_furnace_plots/optimised_mse.pdf create mode 100644 examples/benchmarks/ladle_furnace_plots/optimised_predictions.pdf diff --git a/examples/benchmarks/ladle_furnace.ipynb b/examples/benchmarks/ladle_furnace.ipynb new file mode 100644 index 00000000..d05b1e1b --- /dev/null +++ b/examples/benchmarks/ladle_furnace.ipynb @@ -0,0 +1,3441 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "%reload_ext autoreload\n", + "%autoreload 2" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/giles/anaconda3/envs/tomopt/lib/python3.8/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + } + ], + "source": [ + "import torch" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Ladle furnace benchmark\n", + "\n", + "In this example, we'll be optimising a detector for the task described in our initial [TomOpt paper](https://arxiv.org/abs/2309.14027)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "NAME = 'ladle_furnace'" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "DEVICE = torch.device('cpu')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup volume\n", + "\n", + "We'll begin by defining our volume, consisting of the detectors and passive volume. The `ladle_furnace` benchmark module has a function to construct our initial detector:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/giles/anaconda3/envs/tomopt/lib/python3.8/site-packages/scipy/__init__.py:138: UserWarning: A NumPy version >=1.16.5 and <1.23.0 is required for this version of SciPy (detected version 1.23.0)\n", + " warnings.warn(f\"A NumPy version >={np_minversion} and <{np_maxversion} is required for this version of \"\n" + ] + } + ], + "source": [ + "from tomopt.benchmarks.ladle_furnace import get_initial_detector\n", + "from tomopt.volume import Volume" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Volume(\n", + " (layers): ModuleList(\n", + " (0): PanelDetectorLayer(\n", + " (panels): ModuleList(\n", + " (0): located at xy=tensor([0., 0.]), z=tensor([1.4800]), and xy span tensor([0.8660, 0.8660]) with budget scale 1.0825316905975342\n", + " (1): located at xy=tensor([0., 0.]), z=tensor([1.4700]), and xy span tensor([0.8660, 0.8660]) with budget scale 1.0825316905975342\n", + " (2): located at xy=tensor([0., 0.]), z=tensor([1.4600]), and xy span tensor([0.8660, 0.8660]) with budget scale 1.0825316905975342\n", + " (3): located at xy=tensor([0., 0.]), z=tensor([1.4500]), and xy span tensor([0.8660, 0.8660]) with budget scale 1.0825316905975342\n", + " )\n", + " )\n", + " (1): PassiveLayer located at z=tensor([1.4000])\n", + " (2): PassiveLayer located at z=tensor([1.3000])\n", + " (3): PassiveLayer located at z=tensor([1.2000])\n", + " (4): PassiveLayer located at z=tensor([1.1000])\n", + " (5): PassiveLayer located at z=tensor([1.])\n", + " (6): PassiveLayer located at z=tensor([0.9000])\n", + " (7): PassiveLayer located at z=tensor([0.8000])\n", + " (8): PassiveLayer located at z=tensor([0.7000])\n", + " (9): PassiveLayer located at z=tensor([0.6000])\n", + " (10): PassiveLayer located at z=tensor([0.5000])\n", + " (11): PanelDetectorLayer(\n", + " (panels): ModuleList(\n", + " (0): located at xy=tensor([0., 0.]), z=tensor([0.3500]), and xy span tensor([0.8660, 0.8660]) with budget scale 1.0825316905975342\n", + " (1): located at xy=tensor([0., 0.]), z=tensor([0.3400]), and xy span tensor([0.8660, 0.8660]) with budget scale 1.0825316905975342\n", + " (2): located at xy=tensor([0., 0.]), z=tensor([0.3300]), and xy span tensor([0.8660, 0.8660]) with budget scale 1.0825316905975342\n", + " (3): located at xy=tensor([0., 0.]), z=tensor([0.3200]), and xy span tensor([0.8660, 0.8660]) with budget scale 1.0825316905975342\n", + " )\n", + " )\n", + " )\n", + ")" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "volume = Volume(get_initial_detector(device=DEVICE), budget=6)\n", + "volume" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can visualise the layout of this in 3D. Note the closeness of the panels, and their offset from the passive volume. We do not expect this detector to perform well, but we can optimise it to a better configuration." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "application/javascript": [ + "/* Put everything inside the global mpl namespace */\n", + "window.mpl = {};\n", + "\n", + "\n", + "mpl.get_websocket_type = function() {\n", + " if (typeof(WebSocket) !== 'undefined') {\n", + " return WebSocket;\n", + " } else if (typeof(MozWebSocket) !== 'undefined') {\n", + " return MozWebSocket;\n", + " } else {\n", + " alert('Your browser does not have WebSocket support. ' +\n", + " 'Please try Chrome, Safari or Firefox ≥ 6. ' +\n", + " 'Firefox 4 and 5 are also supported but you ' +\n", + " 'have to enable WebSockets in about:config.');\n", + " };\n", + "}\n", + "\n", + "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n", + " this.id = figure_id;\n", + "\n", + " this.ws = websocket;\n", + "\n", + " this.supports_binary = (this.ws.binaryType != undefined);\n", + "\n", + " if (!this.supports_binary) {\n", + " var warnings = document.getElementById(\"mpl-warnings\");\n", + " if (warnings) {\n", + " warnings.style.display = 'block';\n", + " warnings.textContent = (\n", + " \"This browser does not support binary websocket messages. \" +\n", + " \"Performance may be slow.\");\n", + " }\n", + " }\n", + "\n", + " this.imageObj = new Image();\n", + "\n", + " this.context = undefined;\n", + " this.message = undefined;\n", + " this.canvas = undefined;\n", + " this.rubberband_canvas = undefined;\n", + " this.rubberband_context = undefined;\n", + " this.format_dropdown = undefined;\n", + "\n", + " this.image_mode = 'full';\n", + "\n", + " this.root = $('

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');\n", + " titlebar.append(titletext)\n", + " this.root.append(titlebar);\n", + " this.header = titletext[0];\n", + "}\n", + "\n", + "\n", + "\n", + "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n", + "\n", + "}\n", + "\n", + "\n", + "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n", + "\n", + "}\n", + "\n", + "mpl.figure.prototype._init_canvas = function() {\n", + " var fig = this;\n", + "\n", + " var canvas_div = $('
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