From 8c380f60a4f84f69ab4d2030cce663b4136fa0a7 Mon Sep 17 00:00:00 2001 From: Gustaf Rydholm Date: Mon, 25 Oct 2021 22:30:12 +0200 Subject: Remove vq and unet notebooks --- notebooks/04-vqvae.ipynb | 233 ----------------------------------------------- 1 file changed, 233 deletions(-) delete mode 100644 notebooks/04-vqvae.ipynb (limited to 'notebooks/04-vqvae.ipynb') diff --git a/notebooks/04-vqvae.ipynb b/notebooks/04-vqvae.ipynb deleted file mode 100644 index 1b31671..0000000 --- a/notebooks/04-vqvae.ipynb +++ /dev/null @@ -1,233 +0,0 @@ -{ - "cells": [ - { - "cell_type": "code", - "execution_count": 7, - "id": "136a80f5-10e1-40c4-973a-a7eb7939bb1f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The autoreload extension is already loaded. To reload it, use:\n", - " %reload_ext autoreload\n" - ] - } - ], - "source": [ - "import os\n", - "os.environ['CUDA_VISIBLE_DEVICE'] = ''\n", - "import random\n", - "\n", - "%matplotlib inline\n", - "import matplotlib.pyplot as plt\n", - "\n", - "import numpy as np\n", - "from omegaconf import OmegaConf\n", - "from hydra import compose, initialize\n", - "from omegaconf import OmegaConf\n", - "from hydra.utils import instantiate\n", - "from torchinfo import summary\n", - "%load_ext autoreload\n", - "%autoreload 2\n", - "\n", - "from importlib.util import find_spec\n", - "if find_spec(\"text_recognizer\") is None:\n", - " import sys\n", - " sys.path.append('..')" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "1a0fb9ca-1886-4fd4-839f-dc111a450cfd", - "metadata": {}, - "outputs": [], - "source": [ - "path = \"../training/conf/network/vqvae.yaml\"" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "0182a614-5781-44a6-b659-008e7c584fa7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "encoder:\n", - " _target_: text_recognizer.networks.vqvae.encoder.Encoder\n", - " in_channels: 1\n", - " hidden_dim: 32\n", - " channels_multipliers:\n", - " - 1\n", - " - 2\n", - " - 4\n", - " dropout_rate: 0.0\n", - " activation: mish\n", - " use_norm: true\n", - " num_residuals: 4\n", - " residual_channels: 32\n", - "decoder:\n", - " _target_: text_recognizer.networks.vqvae.decoder.Decoder\n", - " out_channels: 1\n", - " hidden_dim: 32\n", - " channels_multipliers:\n", - " - 4\n", - " - 2\n", - " - 1\n", - " dropout_rate: 0.0\n", - " activation: mish\n", - " use_norm: true\n", - " num_residuals: 4\n", - " residual_channels: 32\n", - "_target_: text_recognizer.networks.vqvae.vqvae.VQVAE\n", - "hidden_dim: 128\n", - "embedding_dim: 32\n", - "num_embeddings: 8192\n", - "decay: 0.99\n", - "\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/aktersnurra/.cache/pypoetry/virtualenvs/text-recognizer-ejNaVa9M-py3.9/lib/python3.9/site-packages/hydra/_internal/defaults_list.py:251: UserWarning: In 'vqvae': Defaults list is missing `_self_`. See https://hydra.cc/docs/upgrades/1.0_to_1.1/default_composition_order for more information\n", - " warnings.warn(msg, UserWarning)\n" - ] - } - ], - "source": [ - "with initialize(config_path=\"../training/conf/network/\", job_name=\"test_app\"):\n", - " cfg = compose(config_name=\"vqvae\")\n", - " print(OmegaConf.to_yaml(cfg))" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "a500f94c-7dae-477e-a3fb-2a2d62ee7b72", - "metadata": {}, - "outputs": [], - "source": [ - "net = instantiate(cfg)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "7f3b3559-5e23-485e-bf57-9405568a1fbf", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "====================================================================================================\n", - "Layer (type:depth-idx) Output Shape Param #\n", - "====================================================================================================\n", - "VQVAE -- --\n", - "├─Encoder: 1-1 [1, 128, 72, 80] --\n", - "│ └─Sequential: 2-1 [1, 128, 72, 80] --\n", - "│ │ └─Conv2d: 3-1 [1, 32, 576, 640] 320\n", - "│ │ └─Normalize: 3-2 [1, 32, 576, 640] 64\n", - "│ │ └─Mish: 3-3 [1, 32, 576, 640] --\n", - "│ │ └─Mish: 3-4 [1, 32, 576, 640] --\n", - "│ │ └─Mish: 3-5 [1, 32, 576, 640] --\n", - "│ │ └─Conv2d: 3-6 [1, 32, 288, 320] 16,416\n", - "│ │ └─Normalize: 3-7 [1, 32, 288, 320] 64\n", - "│ │ └─Mish: 3-8 [1, 32, 288, 320] --\n", - "│ │ └─Mish: 3-9 [1, 32, 288, 320] --\n", - "│ │ └─Mish: 3-10 [1, 32, 288, 320] --\n", - "│ │ └─Conv2d: 3-11 [1, 64, 144, 160] 32,832\n", - "│ │ └─Normalize: 3-12 [1, 64, 144, 160] 128\n", - "│ │ └─Mish: 3-13 [1, 64, 144, 160] --\n", - "│ │ └─Mish: 3-14 [1, 64, 144, 160] --\n", - "│ │ └─Mish: 3-15 [1, 64, 144, 160] --\n", - "│ │ └─Conv2d: 3-16 [1, 128, 72, 80] 131,200\n", - "│ │ └─Residual: 3-17 [1, 128, 72, 80] 41,280\n", - "│ │ └─Residual: 3-18 [1, 128, 72, 80] 41,280\n", - "│ │ └─Residual: 3-19 [1, 128, 72, 80] 41,280\n", - "│ │ └─Residual: 3-20 [1, 128, 72, 80] 41,280\n", - "├─Conv2d: 1-2 [1, 32, 72, 80] 4,128\n", - "├─VectorQuantizer: 1-3 [1, 32, 72, 80] --\n", - "├─Conv2d: 1-4 [1, 128, 72, 80] 4,224\n", - "├─Decoder: 1-5 [1, 1, 576, 640] --\n", - "│ └─Sequential: 2-2 [1, 1, 576, 640] --\n", - "│ │ └─Residual: 3-21 [1, 128, 72, 80] 41,280\n", - "│ │ └─Residual: 3-22 [1, 128, 72, 80] 41,280\n", - "│ │ └─Residual: 3-23 [1, 128, 72, 80] 41,280\n", - "│ │ └─Residual: 3-24 [1, 128, 72, 80] 41,280\n", - "│ │ └─Normalize: 3-25 [1, 128, 72, 80] 256\n", - "│ │ └─Mish: 3-26 [1, 128, 72, 80] --\n", - "│ │ └─Mish: 3-27 [1, 128, 72, 80] --\n", - "│ │ └─Mish: 3-28 [1, 128, 72, 80] --\n", - "│ │ └─ConvTranspose2d: 3-29 [1, 64, 144, 160] 131,136\n", - "│ │ └─Normalize: 3-30 [1, 64, 144, 160] 128\n", - "│ │ └─Mish: 3-31 [1, 64, 144, 160] --\n", - "│ │ └─Mish: 3-32 [1, 64, 144, 160] --\n", - "│ │ └─Mish: 3-33 [1, 64, 144, 160] --\n", - "│ │ └─ConvTranspose2d: 3-34 [1, 32, 288, 320] 32,800\n", - "│ │ └─Normalize: 3-35 [1, 32, 288, 320] 64\n", - "│ │ └─Mish: 3-36 [1, 32, 288, 320] --\n", - "│ │ └─Mish: 3-37 [1, 32, 288, 320] --\n", - "│ │ └─Mish: 3-38 [1, 32, 288, 320] --\n", - "│ │ └─ConvTranspose2d: 3-39 [1, 32, 576, 640] 16,416\n", - "│ │ └─Normalize: 3-40 [1, 32, 576, 640] 64\n", - "│ │ └─Conv2d: 3-41 [1, 1, 576, 640] 289\n", - "====================================================================================================\n", - "Total params: 700,769\n", - "Trainable params: 700,769\n", - "Non-trainable params: 0\n", - "Total mult-adds (G): 17.28\n", - "====================================================================================================\n", - "Input size (MB): 1.47\n", - "Forward/backward pass size (MB): 659.13\n", - "Params size (MB): 2.80\n", - "Estimated Total Size (MB): 663.41\n", - "====================================================================================================" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "summary(net, (1, 1, 576, 640), device=\"cpu\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "9f880b03-d641-4640-acd3-aa5666ca5184", - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "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": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} -- cgit v1.2.3-70-g09d2