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@@ -0,0 +1,186 @@
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+{
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+ "cells": [
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+ {
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+ "cell_type": "code",
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+ "execution_count": 1,
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+ "id": "c993b281",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "2022-06-13 12:00:08.186819: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory\n",
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+ "2022-06-13 12:00:08.186840: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "from library.analysis import loadDataset, testSets\n",
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+ "from library.generators.convGAN import ConvGAN"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 2,
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+ "id": "5c3b99d1",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "Load 'data_input/folding_flare-F'\n",
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+ "from pickle file\n",
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+ "non empty cut in data_input/folding_flare-F! (23 points)\n",
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+ "Data loaded.\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "data = loadDataset(\"data_input/\" + testSets[4])"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 3,
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+ "id": "3b4a0637",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stdout",
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+ "output_type": "stream",
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+ "text": [
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+ "(1066, 1023, 43)\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "print((len(data.data), len(data.data0), len(data.data1)))"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 4,
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+ "id": "97dfa225",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "gen = ConvGAN(data.data0.shape[1], neb=5)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 5,
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+ "id": "c681bcee",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "name": "stderr",
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+ "output_type": "stream",
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+ "text": [
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+ "2022-06-13 12:00:09.935294: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory\n",
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+ "2022-06-13 12:00:09.935314: W tensorflow/stream_executor/cuda/cuda_driver.cc:269] failed call to cuInit: UNKNOWN ERROR (303)\n",
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+ "2022-06-13 12:00:09.935330: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (sbi-klabautermann): /proc/driver/nvidia/version does not exist\n",
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+ "2022-06-13 12:00:09.935515: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n",
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+ "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
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+ ]
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+ }
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+ ],
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+ "source": [
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+ "gen.reset(data)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 6,
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+ "id": "6ac6fc34",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "gen.train(data)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 7,
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+ "id": "523e4106",
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+ "metadata": {},
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+ "outputs": [],
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+ "source": [
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+ "syntheticPoints = gen.generateData(10)"
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+ ]
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+ },
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+ {
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+ "cell_type": "code",
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+ "execution_count": 8,
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+ "id": "13ee7dd4",
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+ "metadata": {},
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+ "outputs": [
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+ {
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+ "data": {
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+ "text/plain": [
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+ "array([[1.9999993 , 0.6453496 , 0.2968364 , 1.3546498 , 0. ,\n",
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+ " 0.99999964, 0.99999964, 0.99999964, 0.2968364 , 0. ,\n",
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+ " 0. ],\n",
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+ " [0.7537636 , 0.9999999 , 0.7530866 , 1.3768817 , 0. ,\n",
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+ " 0.9999999 , 0.9999999 , 0.3768818 , 3.2469125 , 0. ,\n",
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+ " 0. ],\n",
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+ " [0. , 0.9999995 , 0.5992881 , 0.9999995 , 0. ,\n",
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+ " 0.9999995 , 0.9999995 , 0. , 0.40071142, 0. ,\n",
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+ " 0. ],\n",
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+ " [0. , 0.9999996 , 0.64247733, 1.3485842 , 0. ,\n",
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+ " 0.9999996 , 0.9999996 , 0. , 0. , 0. ,\n",
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+ " 0. ],\n",
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+ " [1.9999995 , 0.3972343 , 0.99999976, 1.6027652 , 0. ,\n",
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+ " 0.99999976, 0.99999976, 0.99999976, 0.3972343 , 0. ,\n",
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+ " 0. ],\n",
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+ " [2.304937 , 0.7317089 , 0.2787703 , 1.2682906 , 0. ,\n",
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+ " 0.99999976, 0.99999976, 0.6950623 , 0.3154169 , 0. ,\n",
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+ " 0. ],\n",
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+ " [0. , 0.99999964, 0.33072543, 0.99999964, 0. ,\n",
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+ " 0.99999964, 0.99999964, 0.2920961 , 1.1246573 , 0. ,\n",
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+ " 0. ],\n",
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+ " [1.2489054 , 0.9999997 , 0.7045903 , 1.0157089 , 0. ,\n",
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+ " 0.9999997 , 0.9999997 , 0.32904333, 2.6687403 , 0. ,\n",
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+ " 0. ],\n",
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+ " [3.6535707 , 0.9999997 , 0.29958388, 1.3539872 , 0. ,\n",
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+ " 0.9999997 , 0.9999997 , 0. , 0.34642833, 0. ,\n",
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+ " 0. ],\n",
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+ " [0. , 0.9999995 , 0.24637261, 0.97887444, 0. ,\n",
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+ " 0.9999995 , 0.9999995 , 0. , 0.35920745, 0. ,\n",
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+ " 0. ]], dtype=float32)"
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+ ]
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+ },
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+ "execution_count": 8,
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+ "metadata": {},
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+ "output_type": "execute_result"
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+ }
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+ ],
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+ "source": [
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+ "syntheticPoints"
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+ ]
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+ }
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+ ],
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+ "metadata": {
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+ "kernelspec": {
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+ "display_name": "Python 3 (ipykernel)",
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+ "language": "python",
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+ "name": "python3"
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+ },
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+ "language_info": {
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+ "codemirror_mode": {
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+ "name": "ipython",
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+ "version": 3
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+ },
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+ "file_extension": ".py",
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+ "mimetype": "text/x-python",
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+ "name": "python",
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+ "nbconvert_exporter": "python",
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+ "pygments_lexer": "ipython3",
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+ "version": "3.9.7"
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+ }
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+ },
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+ "nbformat": 4,
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+ "nbformat_minor": 5
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+}
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