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-rw-r--r--notebooks/04-convnext.ipynb248
1 files changed, 0 insertions, 248 deletions
diff --git a/notebooks/04-convnext.ipynb b/notebooks/04-convnext.ipynb
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--- a/notebooks/04-convnext.ipynb
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-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 14,
- "id": "7c02ae76-b540-4b16-9492-e9210b3b9249",
- "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",
- "\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": 15,
- "id": "ccdb6dde-47e5-429a-88f2-0764fb7e259a",
- "metadata": {},
- "outputs": [],
- "source": [
- "from hydra import compose, initialize\n",
- "from omegaconf import OmegaConf\n",
- "from hydra.utils import instantiate"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "id": "3cf50475-39f2-4642-a7d1-5bcbc0a036f7",
- "metadata": {},
- "outputs": [],
- "source": [
- "path = \"../training/conf/network/convnext.yaml\""
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 37,
- "id": "e52ecb01-c975-4e55-925d-1182c7aea473",
- "metadata": {},
- "outputs": [],
- "source": [
- "with open(path, \"rb\") as f:\n",
- " cfg = OmegaConf.load(f)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 38,
- "id": "f939aa37-7b1d-45cc-885c-323c4540bda1",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "{'_target_': 'text_recognizer.network.convnext.ConvNext', 'dim': 16, 'dim_mults': [2, 4, 8], 'depths': [3, 3, 6], 'downsampling_factors': [[2, 2], [2, 2], [2, 2]], 'attn': {'_target_': 'text_recognizer.network.convnext.TransformerBlock', 'attn': {'_target_': 'text_recognizer.network.convnext.Attention', 'dim': 128, 'heads': 4, 'dim_head': 64, 'scale': 8}, 'ff': {'_target_': 'text_recognizer.network.convnext.FeedForward', 'dim': 128, 'mult': 4}}}"
- ]
- },
- "execution_count": 38,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "cfg"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 19,
- "id": "a2b420c1",
- "metadata": {},
- "outputs": [],
- "source": [
- "cfg.dim_mults = [2, 4, 8, 8]\n",
- "cfg.depths = [3, 3, 6, 6]\n",
- "cfg.downsampling_factors = [[2, 2], [2, 2], [2, 2], [2, 1]]"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 39,
- "id": "c9589350",
- "metadata": {},
- "outputs": [],
- "source": [
- "net = instantiate(cfg)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 40,
- "id": "618b997c-e6a6-4487-b70c-9d260cb556d3",
- "metadata": {},
- "outputs": [],
- "source": [
- "from torchinfo import summary"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 41,
- "id": "25759b7b-8deb-4163-b75d-a1357c9fe88f",
- "metadata": {
- "scrolled": false
- },
- "outputs": [
- {
- "data": {
- "text/plain": [
- "====================================================================================================\n",
- "Layer (type:depth-idx) Output Shape Param #\n",
- "====================================================================================================\n",
- "ConvNext [2, 128, 72, 80] 165,408\n",
- "├─TransformerBlock: 1-5 [2, 128, 72, 80] (recursive)\n",
- "│ └─Attention: 2-6 [2, 128, 72, 80] (recursive)\n",
- "│ │ └─LayerNorm: 3-13 [2, 128, 72, 80] (recursive)\n",
- "├─Conv2d: 1-3 [2, 16, 576, 640] (recursive)\n",
- "├─TransformerBlock: 1 -- --\n",
- "│ └─Attention: 2 -- --\n",
- "│ │ └─Conv2d: 3-15 [2, 128, 72, 80] (recursive)\n",
- "│ └─FeedForward: 2-7 [2, 128, 72, 80] (recursive)\n",
- "│ │ └─Residual: 3-16 [2, 128, 72, 80] (recursive)\n",
- "│ │ │ └─Sequential: 4-26 [2, 128, 72, 80] (recursive)\n",
- "├─Conv2d: 1-3 [2, 16, 576, 640] (recursive)\n",
- "├─ModuleList: 1-4 -- --\n",
- "│ └─ModuleList: 2-3 -- --\n",
- "│ │ └─ConvNextBlock: 3-4 [2, 16, 576, 640] --\n",
- "│ │ │ └─Conv2d: 4-2 [2, 16, 576, 640] 800\n",
- "│ │ │ └─Sequential: 4-3 [2, 16, 576, 640] 9,280\n",
- "│ │ │ └─Identity: 4-4 [2, 16, 576, 640] --\n",
- "│ │ └─ModuleList: 3-5 -- --\n",
- "│ │ │ └─ConvNextBlock: 4-5 [2, 16, 576, 640] 10,080\n",
- "│ │ │ └─ConvNextBlock: 4-6 [2, 16, 576, 640] 10,080\n",
- "│ │ │ └─ConvNextBlock: 4-7 [2, 16, 576, 640] 10,080\n",
- "│ │ └─Downsample: 3-6 [2, 32, 288, 320] --\n",
- "│ │ │ └─Sequential: 4-8 [2, 32, 288, 320] 2,080\n",
- "│ └─ModuleList: 2-4 -- --\n",
- "│ │ └─ConvNextBlock: 3-7 [2, 32, 288, 320] --\n",
- "│ │ │ └─Conv2d: 4-9 [2, 32, 288, 320] 1,600\n",
- "│ │ │ └─Sequential: 4-10 [2, 32, 288, 320] 36,992\n",
- "│ │ │ └─Identity: 4-11 [2, 32, 288, 320] --\n",
- "│ │ └─ModuleList: 3-8 -- --\n",
- "│ │ │ └─ConvNextBlock: 4-12 [2, 32, 288, 320] 38,592\n",
- "│ │ │ └─ConvNextBlock: 4-13 [2, 32, 288, 320] 38,592\n",
- "│ │ │ └─ConvNextBlock: 4-14 [2, 32, 288, 320] 38,592\n",
- "│ │ └─Downsample: 3-9 [2, 64, 144, 160] --\n",
- "│ │ │ └─Sequential: 4-15 [2, 64, 144, 160] 8,256\n",
- "│ └─ModuleList: 2-5 -- --\n",
- "│ │ └─ConvNextBlock: 3-10 [2, 64, 144, 160] --\n",
- "│ │ │ └─Conv2d: 4-16 [2, 64, 144, 160] 3,200\n",
- "│ │ │ └─Sequential: 4-17 [2, 64, 144, 160] 147,712\n",
- "│ │ │ └─Identity: 4-18 [2, 64, 144, 160] --\n",
- "│ │ └─ModuleList: 3-11 -- --\n",
- "│ │ │ └─ConvNextBlock: 4-19 [2, 64, 144, 160] 150,912\n",
- "│ │ │ └─ConvNextBlock: 4-20 [2, 64, 144, 160] 150,912\n",
- "│ │ │ └─ConvNextBlock: 4-21 [2, 64, 144, 160] 150,912\n",
- "│ │ │ └─ConvNextBlock: 4-22 [2, 64, 144, 160] 150,912\n",
- "│ │ │ └─ConvNextBlock: 4-23 [2, 64, 144, 160] 150,912\n",
- "│ │ │ └─ConvNextBlock: 4-24 [2, 64, 144, 160] 150,912\n",
- "│ │ └─Downsample: 3-12 [2, 128, 72, 80] --\n",
- "│ │ │ └─Sequential: 4-25 [2, 128, 72, 80] 32,896\n",
- "├─TransformerBlock: 1-5 [2, 128, 72, 80] (recursive)\n",
- "│ └─Attention: 2-6 [2, 128, 72, 80] (recursive)\n",
- "│ │ └─LayerNorm: 3-13 [2, 128, 72, 80] (recursive)\n",
- "│ │ └─Conv2d: 3-14 [2, 768, 72, 80] 98,304\n",
- "│ │ └─Conv2d: 3-15 [2, 128, 72, 80] (recursive)\n",
- "│ └─FeedForward: 2-7 [2, 128, 72, 80] (recursive)\n",
- "│ │ └─Residual: 3-16 [2, 128, 72, 80] (recursive)\n",
- "│ │ │ └─Sequential: 4-26 [2, 128, 72, 80] (recursive)\n",
- "├─LayerNorm: 1-6 [2, 128, 72, 80] 128\n",
- "====================================================================================================\n",
- "Total params: 1,558,144\n",
- "Trainable params: 1,558,144\n",
- "Non-trainable params: 0\n",
- "Total mult-adds (G): 114.00\n",
- "====================================================================================================\n",
- "Input size (MB): 2.95\n",
- "Forward/backward pass size (MB): 3822.06\n",
- "Params size (MB): 5.57\n",
- "Estimated Total Size (MB): 3830.58\n",
- "===================================================================================================="
- ]
- },
- "execution_count": 41,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "summary(net, (2, 1, 576, 640), device=\"cpu\", depth=4)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "05c1d499",
- "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": "3.9.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
generated by cgit v1.2.3-70-g09d2 (git 2.46.0) at 2024-12-25 06:49:31 +0000