Update notebooks

1 files changed, 83 insertions, 86 deletions

diff --git a/notebooks/04-convnext.ipynb b/notebooks/04-convnext.ipynb
index 1779d13..b8d4e56 100644
--- a/notebooks/04-convnext.ipynb
+++ b/notebooks/04-convnext.ipynb
@@ -2,10 +2,19 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 14,
    "id": "7c02ae76-b540-4b16-9492-e9210b3b9249",
    "metadata": {},
-   "outputs": [],
+   "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",
@@ -28,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 15,
    "id": "ccdb6dde-47e5-429a-88f2-0764fb7e259a",
    "metadata": {},
    "outputs": [],
@@ -40,7 +49,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 16,
    "id": "3cf50475-39f2-4642-a7d1-5bcbc0a036f7",
    "metadata": {},
    "outputs": [],
@@ -50,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 37,
    "id": "e52ecb01-c975-4e55-925d-1182c7aea473",
    "metadata": {},
    "outputs": [],
@@ -61,7 +70,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 38,
    "id": "f939aa37-7b1d-45cc-885c-323c4540bda1",
    "metadata": {},
    "outputs": [
@@ -71,7 +80,7 @@
        "{'_target_': 'text_recognizer.networks.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.networks.convnext.TransformerBlock', 'attn': {'_target_': 'text_recognizer.networks.convnext.Attention', 'dim': 128, 'heads': 4, 'dim_head': 64, 'scale': 8}, 'ff': {'_target_': 'text_recognizer.networks.convnext.FeedForward', 'dim': 128, 'mult': 4}}}"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 38,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -82,19 +91,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 19,
    "id": "a2b420c1",
    "metadata": {},
    "outputs": [],
    "source": [
-    "cfg.dim_mults = [2, 4, 8, 8, 8]\n",
-    "cfg.depths = [3, 3, 3, 3, 6]\n",
-    "cfg.downsampling_factors = [[2, 2], [2, 2], [2, 2], [2, 1], [2, 1]]"
+    "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": 11,
+   "execution_count": 39,
    "id": "c9589350",
    "metadata": {},
    "outputs": [],
@@ -104,7 +113,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 40,
    "id": "618b997c-e6a6-4487-b70c-9d260cb556d3",
    "metadata": {},
    "outputs": [],
@@ -114,7 +123,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 41,
    "id": "25759b7b-8deb-4163-b75d-a1357c9fe88f",
    "metadata": {
     "scrolled": false
@@ -126,90 +135,78 @@
        "====================================================================================================\n",
        "Layer (type:depth-idx)                             Output Shape              Param #\n",
        "====================================================================================================\n",
-       "ConvNext                                           [2, 128, 18, 80]          5,969,376\n",
-       "├─Conv2d: 1-1                                      [2, 16, 576, 640]         800\n",
-       "├─ModuleList: 1                                    --                        --\n",
-       "│    └─ModuleList: 2                               --                        --\n",
-       "│    │    └─ConvNextBlock: 3-1                     [2, 16, 576, 640]         --\n",
-       "│    │    │    └─Conv2d: 4-1                       [2, 16, 576, 640]         800\n",
-       "│    │    │    └─Sequential: 4-2                   [2, 16, 576, 640]         9,280\n",
-       "│    │    │    └─Identity: 4-3                     [2, 16, 576, 640]         --\n",
-       "│    │    └─ModuleList: 3                          --                        --\n",
-       "│    │    │    └─ConvNextBlock: 4-4                [2, 16, 576, 640]         10,080\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",
-       "│    │    └─Downsample: 3-2                        [2, 32, 288, 320]         --\n",
-       "│    │    │    └─Sequential: 4-7                   [2, 32, 288, 320]         2,080\n",
-       "│    └─ModuleList: 2                               --                        --\n",
-       "│    │    └─ConvNextBlock: 3-3                     [2, 32, 288, 320]         --\n",
-       "│    │    │    └─Conv2d: 4-8                       [2, 32, 288, 320]         1,600\n",
-       "│    │    │    └─Sequential: 4-9                   [2, 32, 288, 320]         36,992\n",
-       "│    │    │    └─Identity: 4-10                    [2, 32, 288, 320]         --\n",
-       "│    │    └─ModuleList: 3                          --                        --\n",
-       "│    │    │    └─ConvNextBlock: 4-11               [2, 32, 288, 320]         38,592\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",
-       "│    │    └─Downsample: 3-4                        [2, 64, 144, 160]         --\n",
-       "│    │    │    └─Sequential: 4-14                  [2, 64, 144, 160]         8,256\n",
-       "│    └─ModuleList: 2                               --                        --\n",
-       "│    │    └─ConvNextBlock: 3-5                     [2, 64, 144, 160]         --\n",
-       "│    │    │    └─Conv2d: 4-15                      [2, 64, 144, 160]         3,200\n",
-       "│    │    │    └─Sequential: 4-16                  [2, 64, 144, 160]         147,712\n",
-       "│    │    │    └─Identity: 4-17                    [2, 64, 144, 160]         --\n",
-       "│    │    └─ModuleList: 3                          --                        --\n",
-       "│    │    │    └─ConvNextBlock: 4-18               [2, 64, 144, 160]         150,912\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",
-       "│    │    └─Downsample: 3-6                        [2, 128, 72, 80]          --\n",
-       "│    │    │    └─Sequential: 4-21                  [2, 128, 72, 80]          32,896\n",
-       "│    └─ModuleList: 2                               --                        --\n",
-       "│    │    └─ConvNextBlock: 3-7                     [2, 128, 72, 80]          --\n",
-       "│    │    │    └─Conv2d: 4-22                      [2, 128, 72, 80]          6,400\n",
-       "│    │    │    └─Sequential: 4-23                  [2, 128, 72, 80]          590,336\n",
-       "│    │    │    └─Identity: 4-24                    [2, 128, 72, 80]          --\n",
-       "│    │    └─ModuleList: 3                          --                        --\n",
-       "│    │    │    └─ConvNextBlock: 4-25               [2, 128, 72, 80]          596,736\n",
-       "│    │    │    └─ConvNextBlock: 4-26               [2, 128, 72, 80]          596,736\n",
-       "│    │    │    └─ConvNextBlock: 4-27               [2, 128, 72, 80]          596,736\n",
-       "│    │    └─Downsample: 3-8                        [2, 128, 36, 80]          --\n",
-       "│    │    │    └─Sequential: 4-28                  [2, 128, 36, 80]          32,896\n",
-       "│    └─ModuleList: 2                               --                        --\n",
-       "│    │    └─ConvNextBlock: 3-9                     [2, 128, 36, 80]          --\n",
-       "│    │    │    └─Conv2d: 4-29                      [2, 128, 36, 80]          6,400\n",
-       "│    │    │    └─Sequential: 4-30                  [2, 128, 36, 80]          590,336\n",
-       "│    │    │    └─Identity: 4-31                    [2, 128, 36, 80]          --\n",
-       "│    │    └─ModuleList: 3                          --                        --\n",
-       "│    │    │    └─ConvNextBlock: 4-32               [2, 128, 36, 80]          596,736\n",
-       "│    │    │    └─ConvNextBlock: 4-33               [2, 128, 36, 80]          596,736\n",
-       "│    │    │    └─ConvNextBlock: 4-34               [2, 128, 36, 80]          596,736\n",
-       "│    │    │    └─ConvNextBlock: 4-35               [2, 128, 36, 80]          596,736\n",
-       "│    │    │    └─ConvNextBlock: 4-36               [2, 128, 36, 80]          596,736\n",
-       "│    │    │    └─ConvNextBlock: 4-37               [2, 128, 36, 80]          596,736\n",
-       "│    │    └─Downsample: 3-10                       [2, 128, 18, 80]          --\n",
-       "│    │    │    └─Sequential: 4-38                  [2, 128, 18, 80]          32,896\n",
-       "├─TransformerBlock: 1-2                            [2, 128, 18, 80]          --\n",
-       "│    └─Attention: 2-1                              [2, 128, 18, 80]          --\n",
-       "│    │    └─LayerNorm: 3-11                        [2, 128, 18, 80]          128\n",
-       "│    │    └─Conv2d: 3-12                           [2, 768, 18, 80]          98,304\n",
-       "│    │    └─Conv2d: 3-13                           [2, 128, 18, 80]          32,768\n",
-       "│    └─FeedForward: 2-2                            [2, 128, 18, 80]          --\n",
-       "│    │    └─Residual: 3-14                         [2, 128, 18, 80]          --\n",
-       "│    │    │    └─Sequential: 4-39                  [2, 128, 18, 80]          131,712\n",
-       "├─LayerNorm: 1-3                                   [2, 128, 18, 80]          128\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: 7,735,296\n",
-       "Trainable params: 7,735,296\n",
+       "Total params: 1,558,144\n",
+       "Trainable params: 1,558,144\n",
        "Non-trainable params: 0\n",
-       "Total mult-adds (G): 140.23\n",
+       "Total mult-adds (G): 114.00\n",
        "====================================================================================================\n",
        "Input size (MB): 2.95\n",
-       "Forward/backward pass size (MB): 3987.21\n",
-       "Params size (MB): 30.94\n",
-       "Estimated Total Size (MB): 4021.10\n",
+       "Forward/backward pass size (MB): 3822.06\n",
+       "Params size (MB): 5.57\n",
+       "Estimated Total Size (MB): 3830.58\n",
        "===================================================================================================="
       ]
      },
-     "execution_count": 13,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -221,7 +218,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7a7e27f4",
+   "id": "05c1d499",
    "metadata": {},
    "outputs": [],
    "source": []