diff --git a/notebooks/simsiam_repres.ipynb b/notebooks/simsiam_repres.ipynb new file mode 100644 index 0000000..4343bdf --- /dev/null +++ b/notebooks/simsiam_repres.ipynb @@ -0,0 +1,531 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "d26ae44c-511d-437a-b54e-81adfc31a040", + "metadata": {}, + "source": [ + "# Setup" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "cdf64b79-a2a8-4f7c-9901-c9fa380dfe28", + "metadata": {}, + "outputs": [], + "source": [ + "import hydra\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import torch\n", + "import torchvision.transforms as T\n", + "\n", + "from autoencoders.constants import Constants\n", + "from autoencoders.modules import WhiteNoise\n", + "from autoencoders.utils import plot_images\n", + "from autoencoders.data import get_mnist_dataset\n", + "\n", + "constants = Constants()" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "fdb18241-769d-46fa-9b1f-12d6fafe6a7c", + "metadata": {}, + "outputs": [], + "source": [ + "def get_model(model, config):\n", + " module = hydra.utils.instantiate(config.models[model].module)\n", + " ckpt_path = constants.OUTPUTS.joinpath(config.models[model].ckpt_path)\n", + " return module.load_from_checkpoint(ckpt_path, map_location=torch.device(\"cpu\"))" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "3143df04-c1c2-4e5b-b522-ecfb8e3eecd6", + "metadata": {}, + "outputs": [], + "source": [ + "def show_representation(x):\n", + " fig, ax = plt.subplots(figsize=(6, .3))\n", + " ax.set_yticks([])\n", + " ax.set_xticks([])\n", + " ax.imshow(x[np.newaxis,:], cmap=\"plasma\", aspect=\"auto\")\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d1a825f3-4eaf-4bd8-a701-6f756ceb409e", + "metadata": {}, + "source": [ + "## Initialize Hydra Configs" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "458edca6-04be-4cba-933a-c2e4c8eba49b", + "metadata": {}, + "outputs": [], + "source": [ + "hydra.initialize(config_path='../autoencoders/conf', version_base=\"1.3\")\n", + "cfg = hydra.compose(config_name='config')\n", + "models_cfg = hydra.compose(config_name='comps')" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "4ee0c96c-159f-48bc-be28-b3070a20b772", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/homebrew/Caskroom/miniforge/base/envs/autoencoders/lib/python3.10/site-packages/hydra/_internal/defaults_list.py:251: UserWarning: In 'config': Defaults list is missing `_self_`. See https://hydra.cc/docs/1.2/upgrades/1.0_to_1.1/default_composition_order for more information\n", + " warnings.warn(msg, UserWarning)\n" + ] + } + ], + "source": [ + "enc_cfg = hydra.compose(config_name='config', overrides=['model=sidae2', 'data=simsiam'])" + ] + }, + { + "cell_type": "markdown", + "id": "b67af715-7450-4af2-86d7-923f028fb796", + "metadata": {}, + "source": [ + "# Visualizing Intermediate Representations" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "c68d3353-e304-4020-8678-37239860a9e2", + "metadata": {}, + "outputs": [], + "source": [ + "dl = hydra.utils.instantiate(enc_cfg.data.train)\n", + "batch = next(iter(dl))\n", + "aug_1, aug_2 = batch" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "5ba8a9cc-7d5e-4fad-80bd-1e37841da266", + "metadata": {}, + "outputs": [], + "source": [ + "i = 56\n", + "\n", + "x_1, x_2 = aug_1[i], aug_2[i]" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "6397a54b-939c-4424-ab54-0614d83d1fd0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_images([x_1.squeeze(), x_2.squeeze()])" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "1778cd5e-42ea-4e47-979c-744e2c65414f", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/opt/homebrew/Caskroom/miniforge/base/envs/autoencoders/lib/python3.10/site-packages/torch/nn/modules/lazy.py:180: UserWarning: Lazy modules are a new feature under heavy development so changes to the API or functionality can happen at any moment.\n", + " warnings.warn('Lazy modules are a new feature under heavy development '\n", + "/opt/homebrew/Caskroom/miniforge/base/envs/autoencoders/lib/python3.10/site-packages/pytorch_lightning/utilities/parsing.py:197: UserWarning: Attribute 'encoder' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['encoder'])`.\n", + " rank_zero_warn(\n", + "/opt/homebrew/Caskroom/miniforge/base/envs/autoencoders/lib/python3.10/site-packages/pytorch_lightning/utilities/parsing.py:197: UserWarning: Attribute 'decoder' is an instance of `nn.Module` and is already saved during checkpointing. It is recommended to ignore them using `self.save_hyperparameters(ignore=['decoder'])`.\n", + " rank_zero_warn(\n" + ] + } + ], + "source": [ + "mod = get_model('sidae', models_cfg)" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "749c5875-20f9-4790-b933-f6e693625668", + "metadata": {}, + "outputs": [], + "source": [ + "with torch.no_grad():\n", + " z_1, p_1 = mod(aug_1)\n", + " z_2, p_2 = mod(aug_2)" + ] + }, + { + "cell_type": "markdown", + "id": "b49fb179-5a0f-4db0-957b-c37cb4036684", + "metadata": {}, + "source": [ + "## Comparing Projection of Augment 1 and Latent of Augment 2" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "6aee45c4-163a-4620-bf11-428ab43c8e08", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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pilWvC+jFL9JVjxrmq7Uxdj6NnRllRq//R4sYK096exyru9Ekq86JJMPUee9cNrUmLKrec8KCrK7hTppSlgbdLKlrJq/ikmb1maWrnq7Px7F6iHVIrhMSOOYsGs0TLCMjzKtey0qzt7/wNedHikMnreaJruvXiPP6ms1oEaPzpDcPuvVnrTW5pjefEm0Q6bR3zsY6pNQlo/U5PFajts57eVOG7sU4LOK6b4yqBsuCbpbg1DOik1bxzLRLQoato2Nm6etR+n+7A9i7dy/Tpk07ntkthBBCiP/Bnj17GBoaet3rxzWQy7JkeHiYVquFUuoPukAhhBDiz5nWmk6nw+DgIIbx+v9TfFwDWQghhBB/XPJLXUIIIUQfkIEshBBC9AEZyEIIIUQfkIEshBBC9AEZyEIIIUQfkIEshBBC9AEZyEIIIUQf+G8RXBzzR/syHwAAAABJRU5ErkJggg==", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "show_representation(p_1[i])" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "id": "ae983002-65f3-4bda-9590-cc50c50cec0d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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DK87opBndKhvtLCGh269Hmal+/3equvXOCt03GXli9M8Jx8z6Z1q3sClKk5k0xYv0mda7Ls1Mupld9VRKK8l01lVErCxs1Ts/E52HJCNWEZlSJOTVWRQxk6W0q7lQ5hbdIgbor7lb6J7uFlG/Fzq57psyTXGrcztB95eZJzp31VkQqwgDhYHqn3+Jsvq9YFTvdavXVpb2MxqVr++bURT9/utWuUjJ9Tyq8hFUGertTYrORqyiN8zSN2Oo/+0K4MiRI0xMTJzO7BZCCCHE/+Dw4cOMj4+/6eenNZDLsmRqaopGo4FhGL/UBQohhBC/yZRSzMzMMDY2hmm++f8Un9ZAFkIIIcSvlvxRlxBCCDEAZCALIYQQA0AGshBCCDEAZCALIYQQA0AGshBCCDEAZCALIYQQA0AGshBCCDEA/gsRBS8Qg5xGfQAAAABJRU5ErkJggg==", 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7Um0nlD/dMCONUoI4rWo7Qsvi3hkjFfTyPMjL/RVp0evLZhrTzcr+4QQ5CVU/ScoajVOdSIVYRUIrzAh6+QRGkdKO09O5W9VAqnIipdNJY6JePcWYekqUQZDbZLlR3kcRYlY1ExQhMWXPOFU3epLgh+VZEsq+klc9pqy1co1c5eU9VzEylcJUZf9wq9otlD6pz4eEhSJUp+/NMrKqx4VV/wqJKeNmaAWdNMbt9fLy9ck9ZfIsfSOa+r+eAPbv38/IyMiZzG4hhBBC/C/27dvH8PDwG75/RgO5KAomJiZoNBpomvZr3aAQQgjxu0wpRbvdZmhoCF1/438pPqOBLIQQQojfLPlPXUIIIUQfkIEshBBC9AEZyEIIIUQfkIEshBBC9AEZyEIIIUQfkIEshBBC9AEZyEIIIUQf+B9+2zsOQ7fc5gAAAABJRU5ErkJggg==", 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DK87opBndKhvtLCGh269Hmal+/3equvXOCt03GXli9M8Jx8z6Z1q3sClKk5k0xYv0mda7Ls1Mupld9VRKK8l01lVErCxs1Ts/E52HJCNWEZlSJOTVWRQxk6W0q7lQ5hbdIgbor7lb6J7uFlG/Fzq57psyTXGrcztB95eZJzp31VkQqwgDhYHqn3+Jsvq9YFTvdavXVpb2MxqVr++bURT9/utWuUjJ9Tyq8hFUGertTYrORqyiN8zSN2Oo/+0K4MiRI0xMTJzO7BZCCCHE/+Dw4cOMj4+/6eenNZDLsmRqaopGo4FhGL/UBQohhBC/yZRSzMzMMDY2hmm++f8Un9ZAFkIIIcSvlvxRlxBCCDEAZCALIYQQA0AGshBCCDEAZCALIYQQA0AGshBCCDEAZCALIYQQA0AGshBCCDEA/gsRBS8Qg5xGfQAAAABJRU5ErkJggg==", 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eQqbPI67rXd+rjCxXFPV7WDrukV6jSv266ZdQKJKkoF8kdQ3Zumf1SjppjtHT+yDNSTJT98tc16VVVXSSAi/SeR7peTp3uc6biohVQad+P88NOkmBbRUA+izTXOel7pXdLNO9OMtwzazuvzGxMur1U9ws0/UQF2R1DN00P9Lb6+dG+kW37h2m0vux0bVoq4q4SklUQaKs+p5lqDSniAtsr9T1kxT6bvVLVE/v16SoZ0ROVtf6yKzoRPp+dJKcbq730ElyylxhVXrvGRGJKujmuofp+5QSF+Zo/URlTFbV+atrA1ufTZUrfe51njvxkTqpYgMrKvUMKBIy9Hwb6W1W3ftG+vvI+XfTnLhKfmuWvhhD/W9PAPv27WPGjBlHM7uFEEII8Tvs3buX6dOnv+j7RzWQq6piaGiIVquFYRi/1wCFEEKIP2VKKbrdLlOnTsU0X/x/io9qIAshhBDiD0t+qUsIIYQYADKQhRBCiAEgA1kIIYQYADKQhRBCiAEgA1kIIYQYADKQhRBCiAEgA1kIIYQYAP8Dj2NXFEVZrlcAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "show_representation(p_1[0])" + ] + }, + { + "cell_type": "markdown", + "id": "010de966-439f-498a-8d76-12e35e709f31", + "metadata": {}, + "source": [ + "## Comparing Reconstructions" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "f636a019-e9d7-404a-8a88-5de34705e081", + "metadata": {}, + "outputs": [], + "source": [ + "with torch.no_grad():\n", + " rc_1 = mod.decoder(z_1)\n", + " rc_2 = mod.decoder(z_2)" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "id": "03596a61-6506-4470-942a-8da7224e3413", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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