{ "cells": [ { "cell_type": "markdown", "id": "1ad9942c", "metadata": {}, "source": [ "# Time Series Generation with Class Label Guidance\n", "\n", "In this tutorial, we will go through how to generate time series with class labels. \n", "\n", "## Problem setting\n", "Given a time series class label (e.g. patient status), $\\mathbf{c} \\in \\mathbb{R}^{C}$, we are interested in the conditional distribution, i.e. $p(\\mathbf{x}_{\\text{target}} \\mid \\mathbf{c})$. From this distribution, we can sample possible conditional time series $\\hat{\\mathbf{x}}_{\\text{target}} \\in \\mathbb{R}^{T \\times D}$ that are aligned with the given class label." ] }, { "cell_type": "markdown", "id": "626ae316", "metadata": {}, "source": [ "## Implementation\n", "### 1. import modules\n", "Print all models that suport class label guidance" ] }, { "cell_type": "code", "execution_count": 1, "id": "b59d5fd1", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/wcx/anaconda3/envs/gents/lib/python3.10/site-packages/tqdm/auto.py:21: 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", "CUDA extension for cauchy multiplication not found. Install by going to extensions/cauchy/ and running `python setup.py install`. This should speed up end-to-end training by 10-50%\n", "Falling back on slow Cauchy kernel. Install at least one of pykeops or the CUDA extension for efficiency.\n", "Falling back on slow Vandermonde kernel. Install pykeops for improved memory efficiency.\n" ] }, { "data": { "text/plain": [ "['VanillaVAE', 'TimeVQVAE', 'VanillaGAN', 'RCGAN', 'VanillaDDPM', 'VanillaMAF']" ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import torch\n", "from gents.dataset import Spiral2D\n", "from gents.model import TimeVQVAE\n", "from lightning import Trainer\n", "from gents.evaluation import tsne_visual\n", "from gents.evaluation import context_fid\n", "\n", "import gents.model\n", "\n", "class_model = []\n", "for name in gents.model.__all__:\n", " model_cls = getattr(gents.model, name)\n", " if 'class' in model_cls.ALLOW_CONDITION:\n", " class_model.append(name)\n", "class_model" ] }, { "cell_type": "markdown", "id": "c6685699", "metadata": {}, "source": [ "### 2. setup datamodule and model\n", "Here, `Spiral2D` data has two class labels, i.e. clock-wise and counter clock-wise. We set $T=32$ for illustration. Note that `condition='class'` and `class_num=2` is also required for datamodule and model for setup." ] }, { "cell_type": "code", "execution_count": 2, "id": "349efbdf", "metadata": {}, "outputs": [], "source": [ "dm = Spiral2D(\n", " seq_len=32,\n", " batch_size=64,\n", " num_samples=3000,\n", " data_dir=\"../data\",\n", " condition=\"class\",\n", ")\n", "model = TimeVQVAE(\n", " seq_len=dm.seq_len,\n", " seq_dim=dm.seq_dim,\n", " condition=\"class\",\n", " class_num=2,\n", ")" ] }, { "cell_type": "markdown", "id": "eaa70a99", "metadata": {}, "source": [ "### 3. setup training\n", "Utilizing `lightning`/`pytorch-lightning`, one can easily set:\n", "- GPU devices\n", "- Training epochs/steps\n", "- Callbacks\n", "- etc.." ] }, { "cell_type": "code", "execution_count": 3, "id": "ffbea7e2", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "GPU available: True (cuda), used: True\n", "TPU available: False, using: 0 TPU cores\n", "HPU available: False, using: 0 HPUs\n", "You are using a CUDA device ('NVIDIA GeForce RTX 3080 Ti') that has Tensor Cores. To properly utilize them, you should set `torch.set_float32_matmul_precision('medium' | 'high')` which will trade-off precision for performance. For more details, read https://pytorch.org/docs/stable/generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision\n", "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0,1,2,3]\n", "\n", " | Name | Type | Params | Mode \n", "-------------------------------------------------------------------\n", "0 | encoder_l | VQVAEEncoder | 20.8 K | train\n", "1 | encoder_h | VQVAEEncoder | 20.0 K | train\n", "2 | vq_model_l | VectorQuantize | 2.2 K | train\n", "3 | vq_model_h | VectorQuantize | 2.2 K | train\n", "4 | decoder_l | VQVAEDecoder | 3.8 K | train\n", "5 | decoder_h | VQVAEDecoder | 2.9 K | train\n", "6 | transformer_l | BidirectionalTransformer | 656 K | train\n", "7 | transformer_h | BidirectionalTransformer | 786 K | train\n", "-------------------------------------------------------------------\n", "1.5 M Trainable params\n", "0 Non-trainable params\n", "1.5 M Total params\n", "5.978 Total estimated model params size (MB)\n", "242 Modules in train mode\n", "0 Modules in eval mode\n", "`Trainer.fit` stopped: `max_steps=3000` reached.\n" ] } ], "source": [ "trainer = Trainer(max_steps=3000, devices=[0], enable_progress_bar=False)\n", "trainer.fit(model, dm)" ] }, { "cell_type": "markdown", "id": "8d4b13c8", "metadata": {}, "source": [ "### 4. Evaluation\n", "Qualitative evaluation: TSNE visualization" ] }, { "cell_type": "code", "execution_count": 4, "id": "6f12b26b", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# testing\n", "dm.setup(\"test\")\n", "real_data = torch.cat([batch[\"seq\"] for batch in dm.test_dataloader()])\n", "cond_data = torch.cat([batch[\"c\"] for batch in dm.test_dataloader()])\n", "\n", "# generate samples with the same number as real data\n", "# and same condition\n", "gen_data = model.sample(n_sample=len(real_data), condition=cond_data) # [N, 64, 2]\n", "tsne_visual(real_data, gen_data, cond_data)\n" ] }, { "cell_type": "markdown", "id": "b6668fd3", "metadata": {}, "source": [ "Quantitative evaluation: context-fid" ] }, { "cell_type": "code", "execution_count": 6, "id": "34b83d85", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "train a new ts2vec model\n" ] }, { "data": { "text/plain": [ "np.float64(0.8106987850150742)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "context_fid(\n", " real_data.numpy(), gen_data.numpy(), device=\"cuda:0\", train_data=dm.train_ds.data.numpy(), \n", ")" ] } ], "metadata": { "kernelspec": { "display_name": "gents", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.19" } }, "nbformat": 4, "nbformat_minor": 5 }