diff options
Diffstat (limited to 'notebooks/05c-test-model-end-to-end.ipynb')
| -rw-r--r-- | notebooks/05c-test-model-end-to-end.ipynb | 119 |
1 files changed, 110 insertions, 9 deletions
diff --git a/notebooks/05c-test-model-end-to-end.ipynb b/notebooks/05c-test-model-end-to-end.ipynb index 7996257..b26a1fe 100644 --- a/notebooks/05c-test-model-end-to-end.ipynb +++ b/notebooks/05c-test-model-end-to-end.ipynb @@ -2,10 +2,19 @@ "cells": [ { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "id": "1e40a88b", "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": [ "%load_ext autoreload\n", "%autoreload 2\n", @@ -25,7 +34,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "id": "38fb3d9d-a163-4b72-981f-f31b51be39f2", "metadata": {}, "outputs": [], @@ -37,10 +46,46 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "id": "74780b21-3313-452b-b580-703cac878416", "metadata": {}, - "outputs": [], + "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", + " - 4\n", + " - 4\n", + " dropout_rate: 0.25\n", + "decoder:\n", + " _target_: text_recognizer.networks.vqvae.decoder.Decoder\n", + " out_channels: 1\n", + " hidden_dim: 32\n", + " channels_multipliers:\n", + " - 4\n", + " - 4\n", + " - 4\n", + " - 2\n", + " - 1\n", + " dropout_rate: 0.25\n", + "_target_: text_recognizer.networks.vqvae.vqvae.VQVAE\n", + "hidden_dim: 128\n", + "embedding_dim: 32\n", + "num_embeddings: 1024\n", + "decay: 0.99\n", + "\n", + "{'encoder': {'_target_': 'text_recognizer.networks.vqvae.encoder.Encoder', 'in_channels': 1, 'hidden_dim': 32, 'channels_multipliers': [1, 2, 4, 4, 4], 'dropout_rate': 0.25}, 'decoder': {'_target_': 'text_recognizer.networks.vqvae.decoder.Decoder', 'out_channels': 1, 'hidden_dim': 32, 'channels_multipliers': [4, 4, 4, 2, 1], 'dropout_rate': 0.25}, '_target_': 'text_recognizer.networks.vqvae.vqvae.VQVAE', 'hidden_dim': 128, 'embedding_dim': 32, 'num_embeddings': 1024, 'decay': 0.99}\n" + ] + } + ], "source": [ "# context initialization\n", "with initialize(config_path=\"../training/conf/network/\", job_name=\"test_app\"):\n", @@ -51,7 +96,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "205a03e8-7aa1-407f-afa5-92693715b677", "metadata": {}, "outputs": [], @@ -61,7 +106,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "c74384f0-754e-4c29-8f06-339372d6e4c1", "metadata": {}, "outputs": [], @@ -71,10 +116,66 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "id": "5ebab599-2497-42f8-b54b-1663ee66fde9", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "==========================================================================================\n", + "Layer (type:depth-idx) Output Shape Param #\n", + "==========================================================================================\n", + "├─Encoder: 1-1 [-1, 128, 18, 20] --\n", + "| └─Sequential: 2-1 [-1, 128, 18, 20] --\n", + "| | └─Conv2d: 3-1 [-1, 32, 576, 640] 320\n", + "| | └─Conv2d: 3-2 [-1, 32, 288, 320] 16,416\n", + "| | └─Mish: 3-3 [-1, 32, 288, 320] --\n", + "| | └─Conv2d: 3-4 [-1, 64, 144, 160] 32,832\n", + "| | └─Mish: 3-5 [-1, 64, 144, 160] --\n", + "| | └─Conv2d: 3-6 [-1, 128, 72, 80] 131,200\n", + "| | └─Mish: 3-7 [-1, 128, 72, 80] --\n", + "| | └─Conv2d: 3-8 [-1, 128, 36, 40] 262,272\n", + "| | └─Mish: 3-9 [-1, 128, 36, 40] --\n", + "| | └─Conv2d: 3-10 [-1, 128, 18, 20] 262,272\n", + "| | └─Mish: 3-11 [-1, 128, 18, 20] --\n", + "| | └─Residual: 3-12 [-1, 128, 18, 20] 164,352\n", + "| | └─Residual: 3-13 [-1, 128, 18, 20] 164,352\n", + "├─Conv2d: 1-2 [-1, 32, 18, 20] 4,128\n", + "├─VectorQuantizer: 1-3 [-1, 32, 18, 20] --\n", + "├─Conv2d: 1-4 [-1, 128, 18, 20] 4,224\n", + "├─Decoder: 1-5 [-1, 1, 576, 640] --\n", + "| └─Sequential: 2-2 [-1, 1, 576, 640] --\n", + "| | └─Residual: 3-14 [-1, 128, 18, 20] 164,352\n", + "| | └─Residual: 3-15 [-1, 128, 18, 20] 164,352\n", + "| | └─ConvTranspose2d: 3-16 [-1, 128, 36, 40] 262,272\n", + "| | └─Mish: 3-17 [-1, 128, 36, 40] --\n", + "| | └─ConvTranspose2d: 3-18 [-1, 128, 72, 80] 262,272\n", + "| | └─Mish: 3-19 [-1, 128, 72, 80] --\n", + "| | └─ConvTranspose2d: 3-20 [-1, 64, 144, 160] 131,136\n", + "| | └─Mish: 3-21 [-1, 64, 144, 160] --\n", + "| | └─ConvTranspose2d: 3-22 [-1, 32, 288, 320] 32,800\n", + "| | └─Mish: 3-23 [-1, 32, 288, 320] --\n", + "| | └─ConvTranspose2d: 3-24 [-1, 32, 576, 640] 16,416\n", + "| | └─Mish: 3-25 [-1, 32, 576, 640] --\n", + "| | └─Normalize: 3-26 [-1, 32, 576, 640] 64\n", + "| | └─Mish: 3-27 [-1, 32, 576, 640] --\n", + "| | └─Conv2d: 3-28 [-1, 1, 576, 640] 289\n", + "==========================================================================================\n", + "Total params: 2,076,321\n", + "Trainable params: 2,076,321\n", + "Non-trainable params: 0\n", + "Total mult-adds (G): 17.68\n", + "==========================================================================================\n", + "Input size (MB): 1.41\n", + "Forward/backward pass size (MB): 355.17\n", + "Params size (MB): 7.92\n", + "Estimated Total Size (MB): 364.49\n", + "==========================================================================================\n" + ] + } + ], "source": [ "summary(net, (1, 576, 640), device=\"cpu\");" ] |