image_captioning_custom.ipynb

{"cells":[{"cell_type":"markdown","source":["Modified from https://www.tensorflow.org/text/tutorials/image_captioning"],"metadata":{"id":"-E-ZCqholAXm"}},{"cell_type":"markdown","metadata":{"id":"5bwwk4uxRz6A"},"source":["## Setup"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"gc06pTaBbl72"},"outputs":[],"source":["!apt install --allow-change-held-packages libcudnn8=8.6.0.163-1+cuda11.8"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"2R1hQGtZEi8Y"},"outputs":[],"source":["!pip uninstall -y tensorflow estimator keras"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"5Xbt8BkPv8Ou"},"outputs":[],"source":["!pip install -U tensorflow_text tensorflow tensorflow_datasets"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"7TGZmOuqMia9"},"outputs":[],"source":["!pip install einops"]},{"cell_type":"code","source":["!pip install -q tensorflow-model-optimization"],"metadata":{"id":"9vB32kDL-LCS"},"execution_count":null,"outputs":[]},{"cell_type":"code","execution_count":null,"metadata":{"id":"U8l4RJ0XRPEm"},"outputs":[],"source":["#@title\n","import concurrent.futures\n","import collections\n","import dataclasses\n","import hashlib\n","import itertools\n","import json\n","import math\n","import os\n","import pathlib\n","import random\n","import re\n","import string\n","import time\n","import urllib.request\n","\n","import einops\n","import matplotlib.pyplot as plt\n","import numpy as np\n","import pandas as pd\n","from PIL import Image\n","import requests\n","import tqdm\n","\n","import tensorflow as tf\n","import tensorflow_hub as hub\n","import tensorflow_text as text\n","import tensorflow_datasets as tfds\n","\n","import tensorflow_model_optimization as tfmot"]},{"cell_type":"code","source":["from google.colab import drive\n","drive.mount('/content/drive')"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"TmsWOcY68aP9","executionInfo":{"status":"ok","timestamp":1700623284170,"user_tz":-540,"elapsed":333203,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"50feb533-3a23-49c7-8276-af9e2bb9a44f"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}]},{"cell_type":"markdown","metadata":{"id":"wqGXX9Dc5c0v"},"source":["#### Flickr8k"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"kaNy_l7tGuAZ","executionInfo":{"status":"ok","timestamp":1700623304160,"user_tz":-540,"elapsed":20003,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"edb1abcd-dcaa-4c42-cc4b-929b955a4767"},"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading data from https://github.com/jbrownlee/Datasets/releases/download/Flickr8k/Flickr8k_Dataset.zip\n","1115419746/1115419746 [==============================] - 6s 0us/step\n","Downloading data from https://github.com/jbrownlee/Datasets/releases/download/Flickr8k/Flickr8k_text.zip\n","2340801/2340801 [==============================] - 0s 0us/step\n"]}],"source":["def flickr8k(path='flickr8k'):\n","  path = pathlib.Path(path)\n","\n","  if len(list(path.rglob('*'))) < 16197:\n","    tf.keras.utils.get_file(\n","        origin='https://github.com/jbrownlee/Datasets/releases/download/Flickr8k/Flickr8k_Dataset.zip',\n","        cache_dir='.',\n","        cache_subdir=path,\n","        extract=True)\n","    tf.keras.utils.get_file(\n","        origin='https://github.com/jbrownlee/Datasets/releases/download/Flickr8k/Flickr8k_text.zip',\n","        cache_dir='.',\n","        cache_subdir=path,\n","        extract=True)\n","\n","  captions = (path/\"Flickr8k.token.txt\").read_text().splitlines()\n","  captions = (line.split('\\t') for line in captions)\n","  captions = ((fname.split('#')[0], caption) for (fname, caption) in captions)\n","\n","  cap_dict = collections.defaultdict(list)\n","  for fname, cap in captions:\n","    cap_dict[fname].append(cap)\n","\n","  train_files = (path/'Flickr_8k.trainImages.txt').read_text().splitlines()\n","  train_captions = [(str(path/'Flicker8k_Dataset'/fname), cap_dict[fname]) for fname in train_files]\n","\n","  test_files = (path/'Flickr_8k.testImages.txt').read_text().splitlines()\n","  test_captions = [(str(path/'Flicker8k_Dataset'/fname), cap_dict[fname]) for fname in test_files]\n","\n","  train_ds = tf.data.experimental.from_list(train_captions)\n","  test_ds = tf.data.experimental.from_list(test_captions)\n","\n","  return train_ds, test_ds\n","\n","train_raw, test_raw = flickr8k()"]},{"cell_type":"markdown","metadata":{"id":"8cSW4u-ORPFQ"},"source":["### Image feature extractor\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"IlUckK8Zfikv","executionInfo":{"status":"ok","timestamp":1700623308661,"user_tz":-540,"elapsed":4517,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"c7808d08-bb19-4920-94c2-5883497f401d"},"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/resnet/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5\n","94765736/94765736 [==============================] - 1s 0us/step\n"]}],"source":["IMAGE_SHAPE=(224, 224, 3)\n","resnet50 = tf.keras.applications.resnet50.ResNet50(\n","    input_shape=IMAGE_SHAPE,\n","    include_top=False)\n","resnet50.trainable=False"]},{"cell_type":"markdown","metadata":{"id":"Dojkiou9gL3R"},"source":["Here's a function to load an image and resize it for the model:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"zXR0217aRPFR","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1700623310055,"user_tz":-540,"elapsed":1397,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"5606b7dc-fd82-4a7e-aeba-299bf12c759a"},"outputs":[{"output_type":"stream","name":"stdout","text":["tf.Tensor(b'flickr8k/Flicker8k_Dataset/2513260012_03d33305cf.jpg', shape=(), dtype=string)\n","tf.Tensor(\n","[b'A black dog is running after a white dog in the snow .'\n"," b'Black dog chasing brown dog through snow'\n"," b'Two dogs chase each other across the snowy ground .'\n"," b'Two dogs play together in the snow .'\n"," b'Two dogs running through a low lying body of water .'], shape=(5,), dtype=string)\n","(1, 224, 224, 3)\n","(1, 7, 7, 2048)\n"]}],"source":["IMAGE_SHAPE=(224, 224, 3)\n","\n","def load_image(image_path):\n","    img = tf.io.read_file(image_path)\n","    img = tf.io.decode_jpeg(img, channels=3)\n","    img = tf.image.resize(img, IMAGE_SHAPE[:-1])\n","    return img\n","\n","for ex_path, ex_captions in train_raw.take(1):\n","  print(ex_path)\n","  print(ex_captions)\n","\n","test_img_batch = load_image(ex_path)[tf.newaxis, :]\n","\n","print(test_img_batch.shape)\n","print(resnet50(test_img_batch).shape)"]},{"cell_type":"code","source":["resnet50.summary()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Se9emhFodigx","executionInfo":{"status":"ok","timestamp":1700623313054,"user_tz":-540,"elapsed":3007,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"259d00c3-a732-4651-aa35-c600bb412321"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Model: \"resnet50\"\n","__________________________________________________________________________________________________\n"," Layer (type)                Output Shape                 Param #   Connected to                  \n","==================================================================================================\n"," input_1 (InputLayer)        [(None, 224, 224, 3)]        0         []                            \n","                                                                                                  \n"," conv1_pad (ZeroPadding2D)   (None, 230, 230, 3)          0         ['input_1[0][0]']             \n","                                                                                                  \n"," conv1_conv (Conv2D)         (None, 112, 112, 64)         9472      ['conv1_pad[0][0]']           \n","                                                                                                  \n"," conv1_bn (BatchNormalizati  (None, 112, 112, 64)         256       ['conv1_conv[0][0]']          \n"," on)                                                                                              \n","                                                                                                  \n"," conv1_relu (Activation)     (None, 112, 112, 64)         0         ['conv1_bn[0][0]']            \n","                                                                                                  \n"," pool1_pad (ZeroPadding2D)   (None, 114, 114, 64)         0         ['conv1_relu[0][0]']          \n","                                                                                                  \n"," pool1_pool (MaxPooling2D)   (None, 56, 56, 64)           0         ['pool1_pad[0][0]']           \n","                                                                                                  \n"," conv2_block1_1_conv (Conv2  (None, 56, 56, 64)           4160      ['pool1_pool[0][0]']          \n"," D)                                                                                               \n","                                                                                                  \n"," conv2_block1_1_bn (BatchNo  (None, 56, 56, 64)           256       ['conv2_block1_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv2_block1_1_relu (Activ  (None, 56, 56, 64)           0         ['conv2_block1_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv2_block1_2_conv (Conv2  (None, 56, 56, 64)           36928     ['conv2_block1_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv2_block1_2_bn (BatchNo  (None, 56, 56, 64)           256       ['conv2_block1_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv2_block1_2_relu (Activ  (None, 56, 56, 64)           0         ['conv2_block1_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv2_block1_0_conv (Conv2  (None, 56, 56, 256)          16640     ['pool1_pool[0][0]']          \n"," D)                                                                                               \n","                                                                                                  \n"," conv2_block1_3_conv (Conv2  (None, 56, 56, 256)          16640     ['conv2_block1_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv2_block1_0_bn (BatchNo  (None, 56, 56, 256)          1024      ['conv2_block1_0_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv2_block1_3_bn (BatchNo  (None, 56, 56, 256)          1024      ['conv2_block1_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv2_block1_add (Add)      (None, 56, 56, 256)          0         ['conv2_block1_0_bn[0][0]',   \n","                                                                     'conv2_block1_3_bn[0][0]']   \n","                                                                                                  \n"," conv2_block1_out (Activati  (None, 56, 56, 256)          0         ['conv2_block1_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv2_block2_1_conv (Conv2  (None, 56, 56, 64)           16448     ['conv2_block1_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv2_block2_1_bn (BatchNo  (None, 56, 56, 64)           256       ['conv2_block2_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv2_block2_1_relu (Activ  (None, 56, 56, 64)           0         ['conv2_block2_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv2_block2_2_conv (Conv2  (None, 56, 56, 64)           36928     ['conv2_block2_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv2_block2_2_bn (BatchNo  (None, 56, 56, 64)           256       ['conv2_block2_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv2_block2_2_relu (Activ  (None, 56, 56, 64)           0         ['conv2_block2_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv2_block2_3_conv (Conv2  (None, 56, 56, 256)          16640     ['conv2_block2_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv2_block2_3_bn (BatchNo  (None, 56, 56, 256)          1024      ['conv2_block2_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv2_block2_add (Add)      (None, 56, 56, 256)          0         ['conv2_block1_out[0][0]',    \n","                                                                     'conv2_block2_3_bn[0][0]']   \n","                                                                                                  \n"," conv2_block2_out (Activati  (None, 56, 56, 256)          0         ['conv2_block2_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv2_block3_1_conv (Conv2  (None, 56, 56, 64)           16448     ['conv2_block2_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv2_block3_1_bn (BatchNo  (None, 56, 56, 64)           256       ['conv2_block3_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv2_block3_1_relu (Activ  (None, 56, 56, 64)           0         ['conv2_block3_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv2_block3_2_conv (Conv2  (None, 56, 56, 64)           36928     ['conv2_block3_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv2_block3_2_bn (BatchNo  (None, 56, 56, 64)           256       ['conv2_block3_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv2_block3_2_relu (Activ  (None, 56, 56, 64)           0         ['conv2_block3_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv2_block3_3_conv (Conv2  (None, 56, 56, 256)          16640     ['conv2_block3_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv2_block3_3_bn (BatchNo  (None, 56, 56, 256)          1024      ['conv2_block3_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv2_block3_add (Add)      (None, 56, 56, 256)          0         ['conv2_block2_out[0][0]',    \n","                                                                     'conv2_block3_3_bn[0][0]']   \n","                                                                                                  \n"," conv2_block3_out (Activati  (None, 56, 56, 256)          0         ['conv2_block3_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv3_block1_1_conv (Conv2  (None, 28, 28, 128)          32896     ['conv2_block3_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block1_1_bn (BatchNo  (None, 28, 28, 128)          512       ['conv3_block1_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block1_1_relu (Activ  (None, 28, 28, 128)          0         ['conv3_block1_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv3_block1_2_conv (Conv2  (None, 28, 28, 128)          147584    ['conv3_block1_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block1_2_bn (BatchNo  (None, 28, 28, 128)          512       ['conv3_block1_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block1_2_relu (Activ  (None, 28, 28, 128)          0         ['conv3_block1_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv3_block1_0_conv (Conv2  (None, 28, 28, 512)          131584    ['conv2_block3_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block1_3_conv (Conv2  (None, 28, 28, 512)          66048     ['conv3_block1_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block1_0_bn (BatchNo  (None, 28, 28, 512)          2048      ['conv3_block1_0_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block1_3_bn (BatchNo  (None, 28, 28, 512)          2048      ['conv3_block1_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block1_add (Add)      (None, 28, 28, 512)          0         ['conv3_block1_0_bn[0][0]',   \n","                                                                     'conv3_block1_3_bn[0][0]']   \n","                                                                                                  \n"," conv3_block1_out (Activati  (None, 28, 28, 512)          0         ['conv3_block1_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv3_block2_1_conv (Conv2  (None, 28, 28, 128)          65664     ['conv3_block1_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block2_1_bn (BatchNo  (None, 28, 28, 128)          512       ['conv3_block2_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block2_1_relu (Activ  (None, 28, 28, 128)          0         ['conv3_block2_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv3_block2_2_conv (Conv2  (None, 28, 28, 128)          147584    ['conv3_block2_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block2_2_bn (BatchNo  (None, 28, 28, 128)          512       ['conv3_block2_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block2_2_relu (Activ  (None, 28, 28, 128)          0         ['conv3_block2_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv3_block2_3_conv (Conv2  (None, 28, 28, 512)          66048     ['conv3_block2_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block2_3_bn (BatchNo  (None, 28, 28, 512)          2048      ['conv3_block2_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block2_add (Add)      (None, 28, 28, 512)          0         ['conv3_block1_out[0][0]',    \n","                                                                     'conv3_block2_3_bn[0][0]']   \n","                                                                                                  \n"," conv3_block2_out (Activati  (None, 28, 28, 512)          0         ['conv3_block2_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv3_block3_1_conv (Conv2  (None, 28, 28, 128)          65664     ['conv3_block2_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block3_1_bn (BatchNo  (None, 28, 28, 128)          512       ['conv3_block3_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block3_1_relu (Activ  (None, 28, 28, 128)          0         ['conv3_block3_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv3_block3_2_conv (Conv2  (None, 28, 28, 128)          147584    ['conv3_block3_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block3_2_bn (BatchNo  (None, 28, 28, 128)          512       ['conv3_block3_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block3_2_relu (Activ  (None, 28, 28, 128)          0         ['conv3_block3_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv3_block3_3_conv (Conv2  (None, 28, 28, 512)          66048     ['conv3_block3_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block3_3_bn (BatchNo  (None, 28, 28, 512)          2048      ['conv3_block3_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block3_add (Add)      (None, 28, 28, 512)          0         ['conv3_block2_out[0][0]',    \n","                                                                     'conv3_block3_3_bn[0][0]']   \n","                                                                                                  \n"," conv3_block3_out (Activati  (None, 28, 28, 512)          0         ['conv3_block3_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv3_block4_1_conv (Conv2  (None, 28, 28, 128)          65664     ['conv3_block3_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block4_1_bn (BatchNo  (None, 28, 28, 128)          512       ['conv3_block4_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block4_1_relu (Activ  (None, 28, 28, 128)          0         ['conv3_block4_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv3_block4_2_conv (Conv2  (None, 28, 28, 128)          147584    ['conv3_block4_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block4_2_bn (BatchNo  (None, 28, 28, 128)          512       ['conv3_block4_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block4_2_relu (Activ  (None, 28, 28, 128)          0         ['conv3_block4_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv3_block4_3_conv (Conv2  (None, 28, 28, 512)          66048     ['conv3_block4_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv3_block4_3_bn (BatchNo  (None, 28, 28, 512)          2048      ['conv3_block4_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv3_block4_add (Add)      (None, 28, 28, 512)          0         ['conv3_block3_out[0][0]',    \n","                                                                     'conv3_block4_3_bn[0][0]']   \n","                                                                                                  \n"," conv3_block4_out (Activati  (None, 28, 28, 512)          0         ['conv3_block4_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv4_block1_1_conv (Conv2  (None, 14, 14, 256)          131328    ['conv3_block4_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block1_1_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block1_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block1_1_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block1_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block1_2_conv (Conv2  (None, 14, 14, 256)          590080    ['conv4_block1_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block1_2_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block1_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block1_2_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block1_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block1_0_conv (Conv2  (None, 14, 14, 1024)         525312    ['conv3_block4_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block1_3_conv (Conv2  (None, 14, 14, 1024)         263168    ['conv4_block1_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block1_0_bn (BatchNo  (None, 14, 14, 1024)         4096      ['conv4_block1_0_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block1_3_bn (BatchNo  (None, 14, 14, 1024)         4096      ['conv4_block1_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block1_add (Add)      (None, 14, 14, 1024)         0         ['conv4_block1_0_bn[0][0]',   \n","                                                                     'conv4_block1_3_bn[0][0]']   \n","                                                                                                  \n"," conv4_block1_out (Activati  (None, 14, 14, 1024)         0         ['conv4_block1_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv4_block2_1_conv (Conv2  (None, 14, 14, 256)          262400    ['conv4_block1_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block2_1_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block2_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block2_1_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block2_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block2_2_conv (Conv2  (None, 14, 14, 256)          590080    ['conv4_block2_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block2_2_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block2_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block2_2_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block2_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block2_3_conv (Conv2  (None, 14, 14, 1024)         263168    ['conv4_block2_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block2_3_bn (BatchNo  (None, 14, 14, 1024)         4096      ['conv4_block2_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block2_add (Add)      (None, 14, 14, 1024)         0         ['conv4_block1_out[0][0]',    \n","                                                                     'conv4_block2_3_bn[0][0]']   \n","                                                                                                  \n"," conv4_block2_out (Activati  (None, 14, 14, 1024)         0         ['conv4_block2_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv4_block3_1_conv (Conv2  (None, 14, 14, 256)          262400    ['conv4_block2_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block3_1_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block3_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block3_1_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block3_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block3_2_conv (Conv2  (None, 14, 14, 256)          590080    ['conv4_block3_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block3_2_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block3_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block3_2_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block3_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block3_3_conv (Conv2  (None, 14, 14, 1024)         263168    ['conv4_block3_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block3_3_bn (BatchNo  (None, 14, 14, 1024)         4096      ['conv4_block3_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block3_add (Add)      (None, 14, 14, 1024)         0         ['conv4_block2_out[0][0]',    \n","                                                                     'conv4_block3_3_bn[0][0]']   \n","                                                                                                  \n"," conv4_block3_out (Activati  (None, 14, 14, 1024)         0         ['conv4_block3_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv4_block4_1_conv (Conv2  (None, 14, 14, 256)          262400    ['conv4_block3_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block4_1_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block4_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block4_1_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block4_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block4_2_conv (Conv2  (None, 14, 14, 256)          590080    ['conv4_block4_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block4_2_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block4_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block4_2_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block4_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block4_3_conv (Conv2  (None, 14, 14, 1024)         263168    ['conv4_block4_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block4_3_bn (BatchNo  (None, 14, 14, 1024)         4096      ['conv4_block4_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block4_add (Add)      (None, 14, 14, 1024)         0         ['conv4_block3_out[0][0]',    \n","                                                                     'conv4_block4_3_bn[0][0]']   \n","                                                                                                  \n"," conv4_block4_out (Activati  (None, 14, 14, 1024)         0         ['conv4_block4_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv4_block5_1_conv (Conv2  (None, 14, 14, 256)          262400    ['conv4_block4_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block5_1_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block5_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block5_1_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block5_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block5_2_conv (Conv2  (None, 14, 14, 256)          590080    ['conv4_block5_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block5_2_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block5_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block5_2_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block5_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block5_3_conv (Conv2  (None, 14, 14, 1024)         263168    ['conv4_block5_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block5_3_bn (BatchNo  (None, 14, 14, 1024)         4096      ['conv4_block5_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block5_add (Add)      (None, 14, 14, 1024)         0         ['conv4_block4_out[0][0]',    \n","                                                                     'conv4_block5_3_bn[0][0]']   \n","                                                                                                  \n"," conv4_block5_out (Activati  (None, 14, 14, 1024)         0         ['conv4_block5_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv4_block6_1_conv (Conv2  (None, 14, 14, 256)          262400    ['conv4_block5_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block6_1_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block6_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block6_1_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block6_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block6_2_conv (Conv2  (None, 14, 14, 256)          590080    ['conv4_block6_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block6_2_bn (BatchNo  (None, 14, 14, 256)          1024      ['conv4_block6_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block6_2_relu (Activ  (None, 14, 14, 256)          0         ['conv4_block6_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv4_block6_3_conv (Conv2  (None, 14, 14, 1024)         263168    ['conv4_block6_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv4_block6_3_bn (BatchNo  (None, 14, 14, 1024)         4096      ['conv4_block6_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv4_block6_add (Add)      (None, 14, 14, 1024)         0         ['conv4_block5_out[0][0]',    \n","                                                                     'conv4_block6_3_bn[0][0]']   \n","                                                                                                  \n"," conv4_block6_out (Activati  (None, 14, 14, 1024)         0         ['conv4_block6_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv5_block1_1_conv (Conv2  (None, 7, 7, 512)            524800    ['conv4_block6_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv5_block1_1_bn (BatchNo  (None, 7, 7, 512)            2048      ['conv5_block1_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv5_block1_1_relu (Activ  (None, 7, 7, 512)            0         ['conv5_block1_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv5_block1_2_conv (Conv2  (None, 7, 7, 512)            2359808   ['conv5_block1_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv5_block1_2_bn (BatchNo  (None, 7, 7, 512)            2048      ['conv5_block1_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv5_block1_2_relu (Activ  (None, 7, 7, 512)            0         ['conv5_block1_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv5_block1_0_conv (Conv2  (None, 7, 7, 2048)           2099200   ['conv4_block6_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv5_block1_3_conv (Conv2  (None, 7, 7, 2048)           1050624   ['conv5_block1_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv5_block1_0_bn (BatchNo  (None, 7, 7, 2048)           8192      ['conv5_block1_0_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv5_block1_3_bn (BatchNo  (None, 7, 7, 2048)           8192      ['conv5_block1_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv5_block1_add (Add)      (None, 7, 7, 2048)           0         ['conv5_block1_0_bn[0][0]',   \n","                                                                     'conv5_block1_3_bn[0][0]']   \n","                                                                                                  \n"," conv5_block1_out (Activati  (None, 7, 7, 2048)           0         ['conv5_block1_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv5_block2_1_conv (Conv2  (None, 7, 7, 512)            1049088   ['conv5_block1_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv5_block2_1_bn (BatchNo  (None, 7, 7, 512)            2048      ['conv5_block2_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv5_block2_1_relu (Activ  (None, 7, 7, 512)            0         ['conv5_block2_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv5_block2_2_conv (Conv2  (None, 7, 7, 512)            2359808   ['conv5_block2_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv5_block2_2_bn (BatchNo  (None, 7, 7, 512)            2048      ['conv5_block2_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv5_block2_2_relu (Activ  (None, 7, 7, 512)            0         ['conv5_block2_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv5_block2_3_conv (Conv2  (None, 7, 7, 2048)           1050624   ['conv5_block2_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv5_block2_3_bn (BatchNo  (None, 7, 7, 2048)           8192      ['conv5_block2_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv5_block2_add (Add)      (None, 7, 7, 2048)           0         ['conv5_block1_out[0][0]',    \n","                                                                     'conv5_block2_3_bn[0][0]']   \n","                                                                                                  \n"," conv5_block2_out (Activati  (None, 7, 7, 2048)           0         ['conv5_block2_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n"," conv5_block3_1_conv (Conv2  (None, 7, 7, 512)            1049088   ['conv5_block2_out[0][0]']    \n"," D)                                                                                               \n","                                                                                                  \n"," conv5_block3_1_bn (BatchNo  (None, 7, 7, 512)            2048      ['conv5_block3_1_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv5_block3_1_relu (Activ  (None, 7, 7, 512)            0         ['conv5_block3_1_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv5_block3_2_conv (Conv2  (None, 7, 7, 512)            2359808   ['conv5_block3_1_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv5_block3_2_bn (BatchNo  (None, 7, 7, 512)            2048      ['conv5_block3_2_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv5_block3_2_relu (Activ  (None, 7, 7, 512)            0         ['conv5_block3_2_bn[0][0]']   \n"," ation)                                                                                           \n","                                                                                                  \n"," conv5_block3_3_conv (Conv2  (None, 7, 7, 2048)           1050624   ['conv5_block3_2_relu[0][0]'] \n"," D)                                                                                               \n","                                                                                                  \n"," conv5_block3_3_bn (BatchNo  (None, 7, 7, 2048)           8192      ['conv5_block3_3_conv[0][0]'] \n"," rmalization)                                                                                     \n","                                                                                                  \n"," conv5_block3_add (Add)      (None, 7, 7, 2048)           0         ['conv5_block2_out[0][0]',    \n","                                                                     'conv5_block3_3_bn[0][0]']   \n","                                                                                                  \n"," conv5_block3_out (Activati  (None, 7, 7, 2048)           0         ['conv5_block3_add[0][0]']    \n"," on)                                                                                              \n","                                                                                                  \n","==================================================================================================\n","Total params: 23587712 (89.98 MB)\n","Trainable params: 0 (0.00 Byte)\n","Non-trainable params: 23587712 (89.98 MB)\n","__________________________________________________________________________________________________\n"]}]},{"cell_type":"markdown","metadata":{"id":"nyqH3zFwRPFi"},"source":["### Setup the text tokenizer/vectorizer\n","\n","You will transform the text captions into integer sequences using the [TextVectorization](https://www.tensorflow.org/api_docs/python/tf/keras/layers/TextVectorization) layer, with the following steps:\n","\n","* Use [adapt](https://www.tensorflow.org/api_docs/python/tf/keras/layers/TextVectorization#adapt) to iterate over all captions, split the captions into words, and compute a vocabulary of the top words.\n","* Tokenize all captions by mapping each word to its index in the vocabulary. All output sequences will be padded to length 50.\n","* Create word-to-index and index-to-word mappings to display results."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"NroZIzB90hD3","executionInfo":{"status":"ok","timestamp":1700623313603,"user_tz":-540,"elapsed":556,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"d7b7ac03-36ee-4c0b-fc7d-2de3da933f4e"},"outputs":[{"output_type":"stream","name":"stdout","text":["['', '[UNK]', 'a', '[START]', '[END]', 'in', 'the', 'on', 'is', 'and']\n"]}],"source":["def standardize(s):\n","  s = tf.strings.lower(s)\n","  s = tf.strings.regex_replace(s, f'[{re.escape(string.punctuation)}]', '')\n","  s = tf.strings.join(['[START]', s, '[END]'], separator=' ')\n","  return s\n","\n","# Use the top 5000 words for a vocabulary.\n","vocabulary_size = 5000\n","tokenizer = tf.keras.layers.TextVectorization(\n","    max_tokens=vocabulary_size,\n","    standardize=standardize,\n","    ragged=True)\n","# Learn the vocabulary from the caption data.\n","tokenizer.adapt(train_raw.map(lambda fp,txt: txt).unbatch().batch(1024))\n","\n","print(tokenizer.get_vocabulary()[:10])\n","\n","# Create mappings for words to indices and indices to words.\n","word_to_index = tf.keras.layers.StringLookup(\n","    mask_token=\"\",\n","    vocabulary=tokenizer.get_vocabulary())\n","index_to_word = tf.keras.layers.StringLookup(\n","    mask_token=\"\",\n","    vocabulary=tokenizer.get_vocabulary(),\n","    invert=True)"]},{"cell_type":"markdown","metadata":{"id":"uEWM9xrYcg45"},"source":["### Prepare the datasets"]},{"cell_type":"markdown","metadata":{"id":"6aX0Z_98S2tN"},"source":["The `train_raw` and `test_raw` datasets contain 1:many `(image, captions)` pairs.\n","\n","This function will replicate the image so there are 1:1 images to captions.\n","\n","To be compatible with keras training the dataset should contain `(inputs,\n","labels)` pairs. For text generation the tokens are both an input and the labels, shifted by one step. This function will convert an `(images, texts)` pair to an `((images, input_tokens), label_tokens)` pair."]},{"cell_type":"code","execution_count":null,"metadata":{"id":"3_Lqwl9NiGT0","executionInfo":{"status":"ok","timestamp":1700623314670,"user_tz":-540,"elapsed":1072,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"a340c7fd-fba8-414d-db7e-0062508bd1cd"},"outputs":[{"output_type":"stream","name":"stderr","text":["WARNING:tensorflow:From <ipython-input-13-e257f33619bd>:29: ignore_errors (from tensorflow.python.data.experimental.ops.error_ops) is deprecated and will be removed in a future version.\n","Instructions for updating:\n","Use `tf.data.Dataset.ignore_errors` instead.\n"]},{"output_type":"stream","name":"stdout","text":["((TensorSpec(shape=(None, 224, 224, 3), dtype=tf.float32, name=None), TensorSpec(shape=(None, None), dtype=tf.int64, name=None)), TensorSpec(shape=(None, None), dtype=tf.int64, name=None))\n","((TensorSpec(shape=(None, 224, 224, 3), dtype=tf.float32, name=None), TensorSpec(shape=(None, None), dtype=tf.int64, name=None)), TensorSpec(shape=(None, None), dtype=tf.int64, name=None))\n"]}],"source":["def match_shapes(images, captions):\n","  caption_shape = einops.parse_shape(captions, 'b c')\n","  captions = einops.rearrange(captions, 'b c -> (b c)')\n","  images = einops.repeat(\n","      images, 'b ... -> (b c) ...',\n","      c = caption_shape['c'])\n","  return images, captions\n","\n","def prepare_txt(imgs, txts):\n","  tokens = tokenizer(txts)\n","\n","  input_tokens = tokens[..., :-1]\n","  label_tokens = tokens[..., 1:]\n","  return (imgs, input_tokens), label_tokens\n","\n","\n","# prepare_dataset adds operations to a dataset. The steps are:\n","\n","# 1. Load the images (and ignore images that fail to load).\n","# 2. Replicate images to match the number of captions.\n","# 3. Shuffle and rebatch the `image, caption` pairs.\n","# 4. Tokenize the text, shift the tokens and add `label_tokens`.\n","# 5. Convert the text from a `RaggedTensor` representation to padded dense `Tensor` representation.\n","def prepare_dataset(ds, tokenizer, batch_size=32, shuffle_buffer=1000):\n","  # Load the images and make batches.\n","  ds = (ds\n","        .shuffle(10000)\n","        .map(lambda path, caption: (load_image(path), caption))\n","        .apply(tf.data.experimental.ignore_errors())\n","        .batch(batch_size))\n","\n","  def to_tensor(inputs, labels):\n","    (images, in_tok), out_tok = inputs, labels\n","    return (images, in_tok.to_tensor()), out_tok.to_tensor()\n","\n","  return (ds\n","          .map(match_shapes, tf.data.AUTOTUNE)\n","          .unbatch()\n","          .shuffle(shuffle_buffer)\n","          .batch(batch_size)\n","          .map(prepare_txt, tf.data.AUTOTUNE)\n","          .map(to_tensor, tf.data.AUTOTUNE)\n","          )\n","\n","train_ds = prepare_dataset(train_raw, tokenizer)\n","print(train_ds.element_spec)\n","\n","test_ds = prepare_dataset(test_raw, tokenizer)\n","print(test_ds.element_spec)"]},{"cell_type":"markdown","metadata":{"id":"XZyKygJ8S8zW"},"source":["### Cache the image features"]},{"cell_type":"markdown","metadata":{"id":"eHKhSKhti6NS"},"source":["Since the image feature extractor is not changing, and this tutorial is not using image augmentation, the image features can be cached. Same for the text tokenization. The time it takes to set up the cache is earned back on each epoch during training and validation. The code below defines two functions `save_dataset` and `load_dataset`:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"9N1MX5ym6xm5"},"outputs":[],"source":["def save_dataset(ds, save_path, image_model, tokenizer, shards=10, batch_size=32):\n","  # Load the images and make batches.\n","  ds = (ds\n","        .map(lambda path, caption: (load_image(path), caption))\n","        .apply(tf.data.experimental.ignore_errors())\n","        .batch(batch_size))\n","\n","  # Run the feature extractor on each batch\n","  # Don't do this in a .map, because tf.data runs on the CPU.\n","  def gen():\n","    for (images, captions) in tqdm.tqdm(ds):\n","      feature_maps = image_model(images)\n","\n","      feature_maps, captions = match_shapes(feature_maps, captions)\n","\n","      yield feature_maps, captions\n","\n","  # Wrap the generator in a new tf.data.Dataset.\n","  new_ds = tf.data.Dataset.from_generator(\n","      gen,\n","      output_signature=(\n","          tf.TensorSpec(shape=image_model.output_shape),\n","          tf.TensorSpec(shape=(None,), dtype=tf.string)))\n","\n","  # Apply the tokenization\n","  new_ds = (new_ds\n","            .map(prepare_txt, tf.data.AUTOTUNE)\n","            .unbatch()\n","            .shuffle(1000))\n","\n","  # Save the dataset into shard files.\n","  def shard_func(i, item):\n","    return i % shards\n","  new_ds.enumerate().save(save_path, shard_func=shard_func)\n","\n","def load_dataset(save_path, batch_size=32, shuffle=1000, cycle_length=2):\n","  def custom_reader_func(datasets):\n","    datasets = datasets.shuffle(1000)\n","    return datasets.interleave(lambda x: x, cycle_length=cycle_length)\n","\n","  ds = tf.data.Dataset.load(save_path, reader_func=custom_reader_func)\n","\n","  def drop_index(i, x):\n","    return x\n","\n","  ds = (ds\n","        .map(drop_index, tf.data.AUTOTUNE)\n","        .shuffle(shuffle)\n","        .padded_batch(batch_size)\n","        .prefetch(tf.data.AUTOTUNE))\n","  return ds"]},{"cell_type":"code","source":["save_dataset(test_raw, 'test_cache', resnet50, tokenizer)"],"metadata":{"id":"Igw-stY3oWEs"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["save_dataset(train_raw, 'train_cache', resnet50, tokenizer)"],"metadata":{"id":"i84HngO4oXbK","colab":{"base_uri":"https://localhost:8080/"},"outputId":"1b60e04b-485a-457e-ec26-92cab53f07c4"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["105it [14:37,  7.62s/it]"]}]},{"cell_type":"markdown","metadata":{"id":"GI265LiDslr2"},"source":["## Data ready for training\n","\n","After those preprocessing steps, here are the datasets:"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"Pwic2YCjHZmV"},"outputs":[],"source":["test_ds = load_dataset('test_cache')"]},{"cell_type":"code","source":["train_ds = load_dataset('train_cache')"],"metadata":{"id":"k_FWP8j4-RDY"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","metadata":{"id":"DfICM49WFpIb"},"source":["## A Transformer decoder model"]},{"cell_type":"markdown","metadata":{"id":"qiRXWwIKNybB"},"source":["The model will be implemented in three main parts:\n","\n","1. Input - The token embedding and positional encoding (`SeqEmbedding`).\n","1. Decoder - A stack of transformer decoder layers (`DecoderLayer`) where each contains:\n","   1. A causal self attention layer (`CausalSelfAttention`), where each output location can attend to the output so far.\n","   1. A cross attention layer (`CrossAttention`) where each output location can attend to the input image.\n","   1. A feed forward network (`FeedForward`) layer which further processes each output location independently.\n","1. Output - A multiclass-classification over the output vocabulary.\n"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"P91LU2F0a9Ga","executionInfo":{"status":"ok","timestamp":1700623368189,"user_tz":-540,"elapsed":51910,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"colab":{"base_uri":"https://localhost:8080/"},"outputId":"007758d4-a730-48ce-fa76-e0a757fa54cc"},"outputs":[{"output_type":"stream","name":"stderr","text":["938it [00:52, 17.98it/s]"]},{"output_type":"stream","name":"stdout","text":["\n","Uniform entropy: 8.52\n","Marginal entropy: 5.29\n","[-1.00000000e+09 -1.00000000e+09 -2.01532333e+00 ... -1.27685557e+01\n"," -1.27685557e+01 -1.27685557e+01]\n"]},{"output_type":"stream","name":"stderr","text":["\n"]}],"source":["class SeqEmbedding(tf.keras.layers.Layer):\n","  def __init__(self, vocab_size, max_length, depth):\n","    super().__init__()\n","    self.pos_embedding = tf.keras.layers.Embedding(input_dim=max_length, output_dim=depth)\n","\n","    self.token_embedding = tf.keras.layers.Embedding(\n","        input_dim=vocab_size,\n","        output_dim=depth,\n","        mask_zero=True)\n","\n","    self.add = tf.keras.layers.Add()\n","\n","  def call(self, seq):\n","    seq = self.token_embedding(seq) # (batch, seq, depth)\n","\n","    x = tf.range(tf.shape(seq)[1])  # (seq)\n","    x = x[tf.newaxis, :]  # (1, seq)\n","    x = self.pos_embedding(x)  # (1, seq, depth)\n","\n","    return self.add([seq,x])\n","\n","class CausalSelfAttention(tf.keras.layers.Layer):\n","  def __init__(self, **kwargs):\n","    super().__init__()\n","    self.mha = tf.keras.layers.MultiHeadAttention(**kwargs)\n","    # Use Add instead of + so the keras mask propagates through.\n","    self.add = tf.keras.layers.Add()\n","    self.layernorm = tf.keras.layers.LayerNormalization()\n","\n","  def call(self, x):\n","    attn = self.mha(query=x, value=x,\n","                    use_causal_mask=True)\n","    x = self.add([x, attn])\n","    return self.layernorm(x)\n","\n","class CrossAttention(tf.keras.layers.Layer):\n","  def __init__(self,**kwargs):\n","    super().__init__()\n","    self.mha = tf.keras.layers.MultiHeadAttention(**kwargs)\n","    self.add = tf.keras.layers.Add()\n","    self.layernorm = tf.keras.layers.LayerNormalization()\n","\n","  # x from self-attention, y from encoder\n","  def call(self, x, y, **kwargs):\n","    attn, attention_scores = self.mha(\n","             query=x, value=y,\n","             return_attention_scores=True)\n","\n","    self.last_attention_scores = attention_scores\n","\n","    x = self.add([x, attn])\n","    return self.layernorm(x)\n","\n","class FeedForward(tf.keras.layers.Layer):\n","  def __init__(self, units, dropout_rate=0.1):\n","    super().__init__()\n","    self.seq = tf.keras.Sequential([\n","        tf.keras.layers.Dense(units=2*units, activation='relu'),\n","        tf.keras.layers.Dense(units=units),\n","        tf.keras.layers.Dropout(rate=dropout_rate),\n","    ])\n","\n","    self.layernorm = tf.keras.layers.LayerNormalization()\n","\n","  def call(self, x):\n","    x = x + self.seq(x)\n","    return self.layernorm(x)\n","\n","class DecoderLayer(tf.keras.layers.Layer):\n","  def __init__(self, units, num_heads=1, dropout_rate=0.1):\n","    super().__init__()\n","\n","    self.self_attention = CausalSelfAttention(num_heads=num_heads,\n","                                              key_dim=units,\n","                                              dropout=dropout_rate)\n","    self.cross_attention = CrossAttention(num_heads=num_heads,\n","                                          key_dim=units,\n","                                          dropout=dropout_rate)\n","    self.ff = FeedForward(units=units, dropout_rate=dropout_rate)\n","\n","\n","  def call(self, inputs, training=False):\n","    # in_seq : Encoded image, out_seq : Embedded text\n","    in_seq, out_seq = inputs\n","\n","    # Text input\n","    out_seq = self.self_attention(out_seq)\n","\n","    out_seq = self.cross_attention(out_seq, in_seq)\n","\n","    self.last_attention_scores = self.cross_attention.last_attention_scores\n","\n","    out_seq = self.ff(out_seq)\n","\n","    return out_seq\n","\n","#@title\n","class TokenOutput(tf.keras.layers.Layer):\n","  def __init__(self, tokenizer, banned_tokens=('', '[UNK]', '[START]'), **kwargs):\n","    super().__init__()\n","\n","    self.dense = tf.keras.layers.Dense(\n","        units=tokenizer.vocabulary_size(), **kwargs)\n","    self.tokenizer = tokenizer\n","    self.banned_tokens = banned_tokens\n","\n","    self.bias = None\n","\n","  def adapt(self, ds):\n","    counts = collections.Counter()\n","    vocab_dict = {name: id\n","                  for id, name in enumerate(self.tokenizer.get_vocabulary())}\n","\n","    for tokens in tqdm.tqdm(ds):\n","      counts.update(tokens.numpy().flatten())\n","\n","    counts_arr = np.zeros(shape=(self.tokenizer.vocabulary_size(),))\n","    counts_arr[np.array(list(counts.keys()), dtype=np.int32)] = list(counts.values())\n","\n","    counts_arr = counts_arr[:]\n","    for token in self.banned_tokens:\n","      counts_arr[vocab_dict[token]] = 0\n","\n","    total = counts_arr.sum()\n","    p = counts_arr/total\n","    p[counts_arr==0] = 1.0\n","    log_p = np.log(p)  # log(1) == 0\n","\n","    entropy = -(log_p*p).sum()\n","\n","    print()\n","    print(f\"Uniform entropy: {np.log(self.tokenizer.vocabulary_size()):0.2f}\")\n","    print(f\"Marginal entropy: {entropy:0.2f}\")\n","\n","    self.bias = log_p\n","    self.bias[counts_arr==0] = -1e9\n","    print(self.bias)\n","\n","  def call(self, x):\n","    x = self.dense(x)\n","    return x + self.bias\n","\n","output_layer = TokenOutput(tokenizer, banned_tokens=('', '[UNK]', '[START]'))\n","# This might run a little faster if the dataset didn't also have to load the image data.\n","output_layer.adapt(train_ds.map(lambda inputs, labels: labels))\n","\n","class Captioner(tf.keras.Model):\n","  @classmethod\n","  def add_method(cls, fun):\n","    setattr(cls, fun.__name__, fun)\n","    return fun\n","\n","  def __init__(self, tokenizer, feature_extractor, output_layer, num_layers=1,\n","               units=256, max_length=50, num_heads=1, dropout_rate=0.1):\n","    super().__init__()\n","    self.feature_extractor = feature_extractor\n","    self.tokenizer = tokenizer\n","    self.word_to_index = tf.keras.layers.StringLookup(\n","        mask_token=\"\",\n","        vocabulary=tokenizer.get_vocabulary())\n","    self.index_to_word = tf.keras.layers.StringLookup(\n","        mask_token=\"\",\n","        vocabulary=tokenizer.get_vocabulary(),\n","        invert=True)\n","\n","    self.seq_embedding = SeqEmbedding(\n","        vocab_size=tokenizer.vocabulary_size(),\n","        depth=units,\n","        max_length=max_length)\n","\n","    self.decoder_layers = [\n","        DecoderLayer(units, num_heads=num_heads, dropout_rate=dropout_rate)\n","        for n in range(num_layers)]\n","\n","    self.output_layer = output_layer\n","\n","@Captioner.add_method\n","def call(self, inputs):\n","  image, txt = inputs\n","\n","  if image.shape[-1] == 3:\n","      # Apply the feature-extractor, if you get an RGB image.\n","      image = self.feature_extractor(image)\n","\n","  # Flatten the feature map\n","  image = einops.rearrange(image, 'b h w c -> b (h w) c')\n","\n","\n","  if txt.dtype == tf.string:\n","      # Apply the tokenizer if you get string inputs.\n","      txt = tokenizer(txt)\n","\n","  txt = self.seq_embedding(txt)\n","\n","  # Look at the image\n","  for dec_layer in self.decoder_layers:\n","      txt = dec_layer(inputs=(image, txt))\n","\n","  txt = self.output_layer(txt)\n","\n","  return txt\n","\n","@Captioner.add_method\n","def simple_gen(self, image, temperature=1):\n","  initial = self.word_to_index([['[START]']]) # (batch, sequence)\n","  img_features = self.feature_extractor(image[tf.newaxis, ...])\n","\n","  tokens = initial # (batch, sequence)\n","  for n in range(50):\n","    preds = self((img_features, tokens)).numpy()  # (batch, sequence, vocab)\n","    preds = preds[:,-1, :]  #(batch, vocab)\n","    if temperature==0:\n","        next = tf.argmax(preds, axis=-1)[:, tf.newaxis]  # (batch, 1)\n","    else:\n","        next = tf.random.categorical(preds/temperature, num_samples=1)  # (batch, 1)\n","    tokens = tf.concat([tokens, next], axis=1) # (batch, sequence)\n","\n","    if next[0] == self.word_to_index('[END]'):\n","      break\n","  words = index_to_word(tokens[0, 1:-1])\n","  result = tf.strings.reduce_join(words, axis=-1, separator=' ')\n","  return result.numpy().decode()\n","\n","\n","@Captioner.add_method\n","def run_and_show_attention(self, image, temperature=0.0):\n","  result_txt = self.simple_gen(image, temperature)\n","  str_tokens = result_txt.split()\n","  str_tokens.append('[END]')\n","\n","  attention_maps = [layer.last_attention_scores for layer in self.decoder_layers]\n","  attention_maps = tf.concat(attention_maps, axis=0)\n","  attention_maps = einops.reduce(\n","      attention_maps,\n","      'batch heads sequence (height width) -> sequence height width',\n","      height=7, width=7,\n","      reduction='mean')\n","\n","  plot_attention_maps(image/255, str_tokens, attention_maps)\n","  t = plt.suptitle(result_txt)\n","  t.set_y(1.05)"]},{"cell_type":"code","source":["output_layer.bias.dtype"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"4El1zBorBIaU","executionInfo":{"status":"ok","timestamp":1700623489283,"user_tz":-540,"elapsed":316,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"727ed6c8-e30c-4c2d-cf12-bc74c2146c25"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["dtype('float64')"]},"metadata":{},"execution_count":17}]},{"cell_type":"code","execution_count":null,"metadata":{"id":"kmM7aZQsLiyU"},"outputs":[],"source":["model = Captioner(tokenizer, feature_extractor=resnet50, output_layer=output_layer,\n","                  units=256, dropout_rate=0.5, num_layers=2, num_heads=2)"]},{"cell_type":"markdown","metadata":{"id":"r0FpTvaPkqON"},"source":["## Train"]},{"cell_type":"markdown","metadata":{"id":"g5IW2mWa2sAG"},"source":["### Losses, metrics, and callbacks"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"s24im3FqxAfT"},"outputs":[],"source":["def masked_loss(labels, preds):\n","  loss = tf.nn.sparse_softmax_cross_entropy_with_logits(labels, preds)\n","\n","  mask = (labels != 0) & (loss < 1e8)\n","  mask = tf.cast(mask, loss.dtype)\n","\n","  loss = loss*mask\n","  loss = tf.reduce_sum(loss)/tf.reduce_sum(mask)\n","  return loss\n","\n","def masked_acc(labels, preds):\n","  mask = tf.cast(labels!=0, tf.float32)\n","  preds = tf.argmax(preds, axis=-1)\n","  labels = tf.cast(labels, tf.int64)\n","  match = tf.cast(preds == labels, mask.dtype)\n","  acc = tf.reduce_sum(match*mask)/tf.reduce_sum(mask)\n","  return acc\n","\n","class GenerateText(tf.keras.callbacks.Callback):\n","  def __init__(self):\n","    image_url = 'https://tensorflow.org/images/surf.jpg'\n","    image_path = tf.keras.utils.get_file('surf.jpg', origin=image_url)\n","    self.image = load_image(image_path)\n","\n","  def on_epoch_end(self, epochs=None, logs=None):\n","    print()\n","    print()\n","    for t in (0.0, 0.5, 1.0):\n","      result = self.model.simple_gen(self.image, temperature=t)\n","      print(result)\n","    print()\n","\n","callbacks = [\n","    GenerateText(),\n","    tf.keras.callbacks.EarlyStopping(\n","        patience=5, restore_best_weights=True)]"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"2OR5ZpAII__u"},"outputs":[],"source":["model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-4),\n","           loss=masked_loss,\n","           metrics=[masked_acc])"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"3aB0baOVMZe9","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1700472519341,"user_tz":-540,"elapsed":3481628,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"9ea4a26d-347d-4e7d-a202-c373c7eb40cf"},"outputs":[{"output_type":"stream","name":"stdout","text":["Epoch 1/100\n","100/100 [==============================] - ETA: 0s - loss: 4.9676 - masked_acc: 0.2035\n","\n","a man in a man in a man in a man\n","a man in a running in the a\n","a on above sitting field in move young a long with midair in his sitting\n","\n","100/100 [==============================] - 94s 850ms/step - loss: 4.9676 - masked_acc: 0.2035 - val_loss: 4.6402 - val_masked_acc: 0.2380\n","Epoch 2/100\n","100/100 [==============================] - ETA: 0s - loss: 4.6128 - masked_acc: 0.2522\n","\n","a man in a red red and white dog\n","a small boy standing in the\n","a man step child human\n","\n","100/100 [==============================] - 87s 866ms/step - loss: 4.6128 - masked_acc: 0.2522 - val_loss: 4.3408 - val_masked_acc: 0.2775\n","Epoch 3/100\n","100/100 [==============================] - ETA: 0s - loss: 4.3824 - masked_acc: 0.2725\n","\n","a man is is in a red and a red shirt is in a red\n","a boy in a large red blue red sidewalk\n","a man on a in little motocross running vehicle\n","\n","100/100 [==============================] - 88s 881ms/step - loss: 4.3824 - masked_acc: 0.2725 - val_loss: 4.2023 - val_masked_acc: 0.2923\n","Epoch 4/100\n","100/100 [==============================] - ETA: 0s - loss: 4.2112 - masked_acc: 0.2939\n","\n","a man in a red shirt is in a red shirt is in a red shirt is in a red shirt is in a red shirt is and red\n","a man on a mouth\n","a large child running carrying a of a bubbles\n","\n","100/100 [==============================] - 99s 995ms/step - loss: 4.2112 - masked_acc: 0.2939 - val_loss: 4.0240 - val_masked_acc: 0.3044\n","Epoch 5/100\n","100/100 [==============================] - ETA: 0s - loss: 4.1023 - masked_acc: 0.3045\n","\n","a man is in a red shirt is in a red shirt is is in the water\n","a boy on a blue in a ball\n","a boy is and a held and catch a camera\n","\n","100/100 [==============================] - 82s 827ms/step - loss: 4.1023 - masked_acc: 0.3045 - val_loss: 3.9526 - val_masked_acc: 0.3136\n","Epoch 6/100\n","100/100 [==============================] - ETA: 0s - loss: 3.9791 - masked_acc: 0.3228\n","\n","a man is in a red shirt is in a red shirt is in a red shirt is is is is is in a red shirt is is is is is is in a bike\n","a man wearing a a red shirt is wearing a red shirt is in a red shirt and white shirt is is with a blue shirt is is jumping\n","a boy jumps the water\n","\n","100/100 [==============================] - 88s 887ms/step - loss: 3.9791 - masked_acc: 0.3228 - val_loss: 3.8218 - val_masked_acc: 0.3278\n","Epoch 7/100\n","100/100 [==============================] - ETA: 0s - loss: 3.9250 - masked_acc: 0.3236\n","\n","a man in a red shirt is riding a bike in a red bike\n","a man is in a mountain\n","the boy climbing a from water doing the air\n","\n","100/100 [==============================] - 90s 900ms/step - loss: 3.9250 - masked_acc: 0.3236 - val_loss: 3.7678 - val_masked_acc: 0.3279\n","Epoch 8/100\n","100/100 [==============================] - ETA: 0s - loss: 3.8658 - masked_acc: 0.3300\n","\n","a man in a red shirt is jumping in the water\n","a young boy in a red shirt is running through a bike\n","a young men are stands in a light blue bin along a person\n","\n","100/100 [==============================] - 83s 829ms/step - loss: 3.8658 - masked_acc: 0.3300 - val_loss: 3.6932 - val_masked_acc: 0.3317\n","Epoch 9/100\n","100/100 [==============================] - ETA: 0s - loss: 3.8238 - masked_acc: 0.3330\n","\n","a man is jumping over a bike\n","a man in a red shirt is walking through the water\n","a man inverted red jacket and a suit motorcycle dressed over a a parking pool\n","\n","100/100 [==============================] - 88s 887ms/step - loss: 3.8238 - masked_acc: 0.3330 - val_loss: 3.7053 - val_masked_acc: 0.3345\n","Epoch 10/100\n","100/100 [==============================] - ETA: 0s - loss: 3.7233 - masked_acc: 0.3404\n","\n","a man in a red shirt is jumping over a wave\n","a man in a blue shirt is in a red shirt is in the water\n","a girl in the jet top shirtless a dirt grinds in a tennis checkered collar\n","\n","100/100 [==============================] - 86s 867ms/step - loss: 3.7233 - masked_acc: 0.3404 - val_loss: 3.5667 - val_masked_acc: 0.3431\n","Epoch 11/100\n","100/100 [==============================] - ETA: 0s - loss: 3.6574 - masked_acc: 0.3478\n","\n","a man in a red shirt is jumping over a wave\n","a man is running through the water\n","a man in a bubbles on a man and brown looking among bathing turning water\n","\n","100/100 [==============================] - 88s 876ms/step - loss: 3.6574 - masked_acc: 0.3478 - val_loss: 3.5960 - val_masked_acc: 0.3412\n","Epoch 12/100\n","100/100 [==============================] - ETA: 0s - loss: 3.5586 - masked_acc: 0.3549\n","\n","a man is jumping over a wave\n","a man in a red coat is in a red shirt is jumping into the background\n","jump\n","\n","100/100 [==============================] - 93s 933ms/step - loss: 3.5586 - masked_acc: 0.3549 - val_loss: 3.5679 - val_masked_acc: 0.3415\n","Epoch 13/100\n","100/100 [==============================] - ETA: 0s - loss: 3.5489 - masked_acc: 0.3550\n","\n","a man in a red shirt is riding a wave\n","a man on a motorcycle is wearing a blue shirt is jumping over a wave\n","a man is doing a ropes in a blue shorts surfing in a trampoline on a green rides taking the nearby a red football\n","\n","100/100 [==============================] - 93s 934ms/step - loss: 3.5489 - masked_acc: 0.3550 - val_loss: 3.4374 - val_masked_acc: 0.3580\n","Epoch 14/100\n","100/100 [==============================] - ETA: 0s - loss: 3.4952 - masked_acc: 0.3600\n","\n","a man in a red shirt is jumping into the water\n","a man in a yellow jacket is jumping over a wave\n","a man wearing a orange hooded red being climbing rocks\n","\n","100/100 [==============================] - 87s 873ms/step - loss: 3.4952 - masked_acc: 0.3600 - val_loss: 3.4454 - val_masked_acc: 0.3560\n","Epoch 15/100\n","100/100 [==============================] - ETA: 0s - loss: 3.4471 - masked_acc: 0.3629\n","\n","a man in a red shirt is jumping over a wave\n","a little girl in a red and a blue shirt is running through the sand\n","the mohawk a boy jumps up suspended with straight through the ocean\n","\n","100/100 [==============================] - 87s 867ms/step - loss: 3.4471 - masked_acc: 0.3629 - val_loss: 3.4177 - val_masked_acc: 0.3569\n","Epoch 16/100\n","100/100 [==============================] - ETA: 0s - loss: 3.4529 - masked_acc: 0.3654\n","\n","a man in a red shirt is riding a wave\n","a man in a red shirt jumps a wave\n","a man and shorts on a girl in a wakeboard\n","\n","100/100 [==============================] - 88s 887ms/step - loss: 3.4529 - masked_acc: 0.3654 - val_loss: 3.3996 - val_masked_acc: 0.3590\n","Epoch 17/100\n","100/100 [==============================] - ETA: 0s - loss: 3.4037 - masked_acc: 0.3678\n","\n","a man in a red shirt is riding a wave\n","a man wearing a blue shirt is jumping in the water\n","a person riding a blue wave\n","\n","100/100 [==============================] - 81s 813ms/step - loss: 3.4037 - masked_acc: 0.3678 - val_loss: 3.3960 - val_masked_acc: 0.3545\n","Epoch 18/100\n","100/100 [==============================] - ETA: 0s - loss: 3.3945 - masked_acc: 0.3651\n","\n","a man in a red shirt is riding a wave\n","a man in a blue shirt is in the water\n","a person wears a green top of person pulling flies through the ocean\n","\n","100/100 [==============================] - 96s 967ms/step - loss: 3.3945 - masked_acc: 0.3651 - val_loss: 3.3470 - val_masked_acc: 0.3586\n","Epoch 19/100\n","100/100 [==============================] - ETA: 0s - loss: 3.3615 - masked_acc: 0.3725\n","\n","a man in a red shirt is riding a wave\n","a man is riding a bike on a wave\n","a man is poses on the background\n","\n","100/100 [==============================] - 86s 858ms/step - loss: 3.3615 - masked_acc: 0.3725 - val_loss: 3.2996 - val_masked_acc: 0.3653\n","Epoch 20/100\n","100/100 [==============================] - ETA: 0s - loss: 3.2408 - masked_acc: 0.3840\n","\n","a man in a red shirt is jumping into the water\n","a young boy is jumping off a wave\n","a boy hops off of a bicyclist on a wave\n","\n","100/100 [==============================] - 88s 883ms/step - loss: 3.2408 - masked_acc: 0.3840 - val_loss: 3.3160 - val_masked_acc: 0.3679\n","Epoch 21/100\n","100/100 [==============================] - ETA: 0s - loss: 3.2569 - masked_acc: 0.3760\n","\n","a man in a red shirt is jumping over a wave\n","a person is riding a wave\n","a boy wearing a bouncing off a baby in the help of another man in the water\n","\n","100/100 [==============================] - 83s 824ms/step - loss: 3.2569 - masked_acc: 0.3760 - val_loss: 3.2033 - val_masked_acc: 0.3807\n","Epoch 22/100\n","100/100 [==============================] - ETA: 0s - loss: 3.2365 - masked_acc: 0.3807\n","\n","a man in a red shirt is riding a wave\n","a surfer in a blue shirt in a blue shirt in the air\n","a bikini about to wave and holding a small midst of a lone building\n","\n","100/100 [==============================] - 88s 884ms/step - loss: 3.2365 - masked_acc: 0.3807 - val_loss: 3.2859 - val_masked_acc: 0.3669\n","Epoch 23/100\n","100/100 [==============================] - ETA: 0s - loss: 3.1725 - masked_acc: 0.3876\n","\n","a man in a red shirt is jumping into the water\n","a person in a wave\n","a girl are playing in the beach\n","\n","100/100 [==============================] - 81s 813ms/step - loss: 3.1725 - masked_acc: 0.3876 - val_loss: 3.1583 - val_masked_acc: 0.3678\n","Epoch 24/100\n","100/100 [==============================] - ETA: 0s - loss: 3.2080 - masked_acc: 0.3820\n","\n","a man in a red shirt is riding a wave\n","a man in red and a red helmet is in the air\n","girl with his bicycle boats rides with his down a bicycle\n","\n","100/100 [==============================] - 84s 838ms/step - loss: 3.2080 - masked_acc: 0.3820 - val_loss: 3.1817 - val_masked_acc: 0.3870\n","Epoch 25/100\n","100/100 [==============================] - ETA: 0s - loss: 3.1295 - masked_acc: 0.3902\n","\n","a man in a blue shirt is jumping over a wave\n","a man in a black and a black jacket in the air\n","man in blue red snowboarder along the wave\n","\n","100/100 [==============================] - 85s 854ms/step - loss: 3.1295 - masked_acc: 0.3902 - val_loss: 3.1444 - val_masked_acc: 0.3739\n","Epoch 26/100\n","100/100 [==============================] - ETA: 0s - loss: 3.1363 - masked_acc: 0.3921\n","\n","a man in a red shirt is riding a wave\n","a surfer is riding a wave\n","a child has black swim wave hoop in the water\n","\n","100/100 [==============================] - 87s 870ms/step - loss: 3.1363 - masked_acc: 0.3921 - val_loss: 3.2017 - val_masked_acc: 0.3754\n","Epoch 27/100\n","100/100 [==============================] - ETA: 0s - loss: 3.1162 - masked_acc: 0.3888\n","\n","a man in a red shirt is riding a wave\n","a man does a wave\n","a hiker in a red and black flowered wetsuit is holding something mouth\n","\n","100/100 [==============================] - 84s 843ms/step - loss: 3.1162 - masked_acc: 0.3888 - val_loss: 3.1242 - val_masked_acc: 0.3809\n","Epoch 28/100\n","100/100 [==============================] - ETA: 0s - loss: 3.0904 - masked_acc: 0.3953\n","\n","a man in a black shirt is riding a wave\n","a man in a red shirt riding a bike on the ocean\n","a kid dancing on the shore of the traffic\n","\n","100/100 [==============================] - 82s 822ms/step - loss: 3.0904 - masked_acc: 0.3953 - val_loss: 3.1325 - val_masked_acc: 0.3765\n","Epoch 29/100\n","100/100 [==============================] - ETA: 0s - loss: 2.9750 - masked_acc: 0.4056\n","\n","a man is riding a wave\n","a man is doing a trick on a wave\n","a young boy around a bike slides down a body of the dirt\n","\n","100/100 [==============================] - 84s 837ms/step - loss: 2.9750 - masked_acc: 0.4056 - val_loss: 3.0998 - val_masked_acc: 0.3795\n","Epoch 30/100\n","100/100 [==============================] - ETA: 0s - loss: 2.9265 - masked_acc: 0.4129\n","\n","a man in a red shirt is riding a wave\n","a young man in a black and white tshirt is riding a wave\n","a line rider gets ready to throw the women his surfboard high through the water with a\n","\n","100/100 [==============================] - 89s 889ms/step - loss: 2.9265 - masked_acc: 0.4129 - val_loss: 3.1140 - val_masked_acc: 0.3773\n","Epoch 31/100\n","100/100 [==============================] - ETA: 0s - loss: 2.9863 - masked_acc: 0.4068\n","\n","a man in a red shirt is riding a wave\n","a man is doing a wave\n","a man is surfs with a seven legs on their woman in the distance\n","\n","100/100 [==============================] - 85s 852ms/step - loss: 2.9863 - masked_acc: 0.4068 - val_loss: 3.0688 - val_masked_acc: 0.3848\n","Epoch 32/100\n","100/100 [==============================] - ETA: 0s - loss: 2.9665 - masked_acc: 0.4086\n","\n","a man in a wetsuit is riding a wave\n","a man is riding a skateboard\n","a man on a bike rider in the top of the dirt\n","\n","100/100 [==============================] - 87s 873ms/step - loss: 2.9665 - masked_acc: 0.4086 - val_loss: 3.1460 - val_masked_acc: 0.3753\n","Epoch 33/100\n","100/100 [==============================] - ETA: 0s - loss: 2.9672 - masked_acc: 0.4049\n","\n","a man in a wetsuit is riding a wave\n","a surfer rides a wave\n","a biker waves into the air while descending trees\n","\n","100/100 [==============================] - 85s 848ms/step - loss: 2.9672 - masked_acc: 0.4049 - val_loss: 3.0430 - val_masked_acc: 0.3841\n","Epoch 34/100\n","100/100 [==============================] - ETA: 0s - loss: 2.9682 - masked_acc: 0.4063\n","\n","a surfer in a red shirt is riding a wave\n","a man in a red shirt is riding a wave\n","two black motorcyclist surfing\n","\n","100/100 [==============================] - 86s 860ms/step - loss: 2.9682 - masked_acc: 0.4063 - val_loss: 3.0684 - val_masked_acc: 0.3878\n","Epoch 35/100\n","100/100 [==============================] - ETA: 0s - loss: 2.9096 - masked_acc: 0.4117\n","\n","a man in a red shirt is riding a wave\n","a surfer in a red shirt is riding a wave\n","a man is riding a bike\n","\n","100/100 [==============================] - 83s 831ms/step - loss: 2.9096 - masked_acc: 0.4117 - val_loss: 2.9931 - val_masked_acc: 0.3940\n","Epoch 36/100\n","100/100 [==============================] - ETA: 0s - loss: 2.9495 - masked_acc: 0.4083\n","\n","a man in a black wetsuit is riding a wave\n","a man in a red shirt in the air with a wave\n","a woman in green and white shirt and a large black jacket performing a bathing fountain\n","\n","100/100 [==============================] - 87s 868ms/step - loss: 2.9495 - masked_acc: 0.4083 - val_loss: 3.0635 - val_masked_acc: 0.3804\n","Epoch 37/100\n","100/100 [==============================] - ETA: 0s - loss: 2.9103 - masked_acc: 0.4110\n","\n","a surfer rides a wave\n","a man in a red shirt is riding a wave\n","young surfer on a bicycle is surfing\n","\n","100/100 [==============================] - 81s 813ms/step - loss: 2.9103 - masked_acc: 0.4110 - val_loss: 3.0179 - val_masked_acc: 0.3803\n","Epoch 38/100\n","100/100 [==============================] - ETA: 0s - loss: 2.8207 - masked_acc: 0.4231\n","\n","a man in a black shirt is riding a wave\n","a surfer rides a surfboard\n","a male man with a surfer and black wetsuit is running on a motocross up on the sculpture\n","\n","100/100 [==============================] - 86s 864ms/step - loss: 2.8207 - masked_acc: 0.4231 - val_loss: 3.0219 - val_masked_acc: 0.3818\n","Epoch 39/100\n","100/100 [==============================] - ETA: 0s - loss: 2.7632 - masked_acc: 0.4324\n","\n","a man in a wetsuit is riding a wave\n","a man in a wetsuit rides a wave\n","a wave\n","\n","100/100 [==============================] - 85s 856ms/step - loss: 2.7632 - masked_acc: 0.4324 - val_loss: 3.0638 - val_masked_acc: 0.3838\n","Epoch 40/100\n","100/100 [==============================] - ETA: 0s - loss: 2.7773 - masked_acc: 0.4286\n","\n","a man in a black shirt is riding a wave\n","a man wearing a red shirt is jumping off a wave\n","a bmx girl s splash through the ocean\n","\n","100/100 [==============================] - 96s 961ms/step - loss: 2.7773 - masked_acc: 0.4286 - val_loss: 3.0311 - val_masked_acc: 0.3810\n"]}],"source":["history = model.fit(\n","    train_ds.repeat(),\n","    steps_per_epoch=100,\n","    validation_data=test_ds.repeat(),\n","    validation_steps=20,\n","    epochs=100,\n","    callbacks=callbacks)"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"6Wn8KSkUw916","colab":{"base_uri":"https://localhost:8080/","height":467},"executionInfo":{"status":"ok","timestamp":1700472901820,"user_tz":-540,"elapsed":1071,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"e7b4ea0f-6278-490f-930b-4adf5ab5b7a3"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.legend.Legend at 0x7f8d134f36a0>"]},"metadata":{},"execution_count":24},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["plt.plot(history.history['loss'], label='loss')\n","plt.plot(history.history['val_loss'], label='val_loss')\n","plt.ylim([0, max(plt.ylim())])\n","plt.xlabel('Epoch #')\n","plt.ylabel('CE/token')\n","plt.legend()"]},{"cell_type":"code","execution_count":null,"metadata":{"id":"yZQ78b2Kxw-T","colab":{"base_uri":"https://localhost:8080/","height":467},"executionInfo":{"status":"ok","timestamp":1700472905344,"user_tz":-540,"elapsed":592,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"2a80a244-0beb-4210-c633-b0633ca24043"},"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.legend.Legend at 0x7f8d60960dc0>"]},"metadata":{},"execution_count":25},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}],"source":["plt.plot(history.history['masked_acc'], label='accuracy')\n","plt.plot(history.history['val_masked_acc'], label='val_accuracy')\n","plt.ylim([0, max(plt.ylim())])\n","plt.xlabel('Epoch #')\n","plt.ylabel('CE/token')\n","plt.legend()"]},{"cell_type":"markdown","source":["## Save trained model"],"metadata":{"id":"tL55ZwdUiHZD"}},{"cell_type":"code","source":["model.save_weights(\"decoder_weights\")\n","model.summary()"],"metadata":{"id":"X-4LomtQiKoE","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1700472940230,"user_tz":-540,"elapsed":1469,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"c560f53c-2883-450a-9c4d-13fd26062bdf"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Model: \"captioner\"\n","_________________________________________________________________\n"," Layer (type)                Output Shape              Param #   \n","=================================================================\n"," resnet50 (Functional)       (None, 7, 7, 2048)        23587712  \n","                                                                 \n"," text_vectorization (TextVe  multiple                  0         \n"," ctorization)                                                    \n","                                                                 \n"," string_lookup_3 (StringLoo  multiple                  0         \n"," kup)                                                            \n","                                                                 \n"," string_lookup_4 (StringLoo  multiple                  0 (unused)\n"," kup)                                                            \n","                                                                 \n"," seq_embedding (SeqEmbeddin  multiple                  1292800   \n"," g)                                                              \n","                                                                 \n"," decoder_layer (DecoderLaye  multiple                  3151616   \n"," r)                                                              \n","                                                                 \n"," decoder_layer_1 (DecoderLa  multiple                  3151616   \n"," yer)                                                            \n","                                                                 \n"," token_output (TokenOutput)  multiple                  1285000   \n","                                                                 \n","=================================================================\n","Total params: 32468744 (123.86 MB)\n","Trainable params: 8881032 (33.88 MB)\n","Non-trainable params: 23587712 (89.98 MB)\n","_________________________________________________________________\n"]}]},{"cell_type":"markdown","source":["## Plot attention"],"metadata":{"id":"E9UTwdkglhes"}},{"cell_type":"code","execution_count":null,"metadata":{"id":"fD_y7PD6RPGt"},"outputs":[],"source":["def plot_attention_maps(image, str_tokens, attention_map):\n","    fig = plt.figure(figsize=(16, 9))\n","\n","    len_result = len(str_tokens)\n","\n","    titles = []\n","    for i in range(len_result):\n","      map = attention_map[i]\n","      grid_size = max(int(np.ceil(len_result/2)), 2)\n","      ax = fig.add_subplot(3, grid_size, i+1)\n","      titles.append(ax.set_title(str_tokens[i]))\n","      img = ax.imshow(image)\n","      ax.imshow(map, cmap='gray', alpha=0.6, extent=img.get_extent(),\n","                clim=[0.0, np.max(map)])\n","\n","    plt.tight_layout()\n","\n","@Captioner.add_method\n","def run_and_show_attention(self, image, temperature=0.0):\n","  result_txt = self.simple_gen(image, temperature)\n","  str_tokens = result_txt.split()\n","  str_tokens.append('[END]')\n","\n","  attention_maps = [layer.last_attention_scores for layer in self.decoder_layers]\n","  attention_maps = tf.concat(attention_maps, axis=0)\n","  attention_maps = einops.reduce(\n","      attention_maps,\n","      'batch heads sequence (height width) -> sequence height width',\n","      height=7, width=7,\n","      reduction='mean')\n","\n","  plot_attention_maps(image/255, str_tokens, attention_maps)\n","  t = plt.suptitle(result_txt)\n","  t.set_y(1.05)"]},{"cell_type":"markdown","source":["## Save vocabulary"],"metadata":{"id":"ZXlly9P-h6Gz"}},{"cell_type":"code","source":["with open(\"vocab.txt\", \"w\") as f:\n","    for word in tokenizer.get_vocabulary():\n","        f.write(f\"{word}\\n\")"],"metadata":{"id":"eOAwBog6h-_S"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Load trained model & Re-train"],"metadata":{"id":"sxhlvzWlil1f"}},{"cell_type":"code","source":["reconstructed_model = Captioner(tokenizer, feature_extractor=resnet50, output_layer=output_layer,\n","                  units=256, dropout_rate=0.5, num_layers=2, num_heads=2)\n","reconstructed_model.load_weights(\"/content/drive/MyDrive/2023-Fall-MobileComputing/Project/decoder_weights\")\n","image_url = 'https://tensorflow.org/images/surf.jpg'\n","image_path = tf.keras.utils.get_file('surf.jpg', origin=image_url)\n","image = load_image(image_path)\n","run_and_show_attention(reconstructed_model, image)"],"metadata":{"id":"xh2aRfKtioPo","colab":{"base_uri":"https://localhost:8080/","height":466},"executionInfo":{"status":"ok","timestamp":1700623542041,"user_tz":-540,"elapsed":28095,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"1ed973ea-b646-4879-f39e-1096cae28eff"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading data from https://tensorflow.org/images/surf.jpg\n","64400/64400 [==============================] - 0s 0us/step\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1600x900 with 11 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["with open(\"output_layer_bias.npy\", \"wb\") as f:\n","  np.save(f, reconstructed_model.output_layer.bias)"],"metadata":{"id":"hyBgNl_jEXDl"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["reconstructed_model.compile(optimizer=tf.keras.optimizers.Adam(learning_rate=1e-5),\n","           loss=masked_loss,\n","           metrics=[masked_acc])"],"metadata":{"id":"oml0Q9UVjiNO"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["history = reconstructed_model.fit(\n","    train_ds.repeat(),\n","    steps_per_epoch=100,\n","    validation_data=test_ds.repeat(),\n","    validation_steps=20,\n","    epochs=5,\n","    callbacks=callbacks)"],"metadata":{"id":"4HCZ2Qwyjv4N"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["reconstructed_model.evaluate(\n","    test_ds.repeat(),\n","    steps=1000\n",")"],"metadata":{"id":"9Rw4mcgDAVcr","colab":{"base_uri":"https://localhost:8080/"},"executionInfo":{"status":"ok","timestamp":1700576768910,"user_tz":-540,"elapsed":442418,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"8f6bf23f-156c-4806-ce04-c818866dc2ef"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["1000/1000 [==============================] - 419s 419ms/step - loss: 3.0595 - masked_acc: 0.3834\n"]},{"output_type":"execute_result","data":{"text/plain":["[3.0594661235809326, 0.38336148858070374]"]},"metadata":{},"execution_count":53}]},{"cell_type":"markdown","source":["## Tensorflow Lite Convert (Encoder)"],"metadata":{"id":"tS1UMKcPADhg"}},{"cell_type":"code","source":["# Convert the model.\n","converter = tf.lite.TFLiteConverter.from_keras_model(resnet50)\n","tflite_model = converter.convert()"],"metadata":{"id":"s6mLeTfGAMG8"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Save the model.\n","with open('original_encoder.tflite', 'wb') as f:\n","  f.write(tflite_model)"],"metadata":{"id":"a8_DDVVtARFN"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Quantize Encoder"],"metadata":{"id":"h78XE753oXZQ"}},{"cell_type":"code","source":["converter = tf.lite.TFLiteConverter.from_keras_model(resnet50)\n","converter.optimizations = [tf.lite.Optimize.DEFAULT]\n","quantized_tflite_model = converter.convert()"],"metadata":{"id":"Y6SMnrRAFUfj"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# Save the model.\n","with open('quantized_encoder.tflite', 'wb') as f:\n","  f.write(quantized_tflite_model)"],"metadata":{"id":"i7sOp3mJGLQy"},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":["## Evaluate quantized model"],"metadata":{"id":"mwYJxAUZ8j1w"}},{"cell_type":"code","source":["quant_resnet = tf.lite.Interpreter(model_path=\"/content/drive/MyDrive/2023-Fall-MobileComputing/Project/quantized_encoder.tflite\")"],"metadata":{"id":"rukFv4IHBWdZ"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["quant_resnet.get_input_details()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"-BFN1lpaCLzd","executionInfo":{"status":"ok","timestamp":1700574420318,"user_tz":-540,"elapsed":9,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"63f1d972-3424-4fb5-9915-49d5403aa06d"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[{'name': 'serving_default_input_1:0',\n","  'index': 0,\n","  'shape': array([  1, 224, 224,   3], dtype=int32),\n","  'shape_signature': array([ -1, 224, 224,   3], dtype=int32),\n","  'dtype': numpy.float32,\n","  'quantization': (0.0, 0),\n","  'quantization_parameters': {'scales': array([], dtype=float32),\n","   'zero_points': array([], dtype=int32),\n","   'quantized_dimension': 0},\n","  'sparsity_parameters': {}}]"]},"metadata":{},"execution_count":16}]},{"cell_type":"code","source":["quant_resnet.get_output_details()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"H7Z4vNRDC1po","executionInfo":{"status":"ok","timestamp":1700574420318,"user_tz":-540,"elapsed":7,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"3301ec39-60de-4fcc-c417-a19178571501"},"execution_count":null,"outputs":[{"output_type":"execute_result","data":{"text/plain":["[{'name': 'StatefulPartitionedCall:0',\n","  'index': 180,\n","  'shape': array([   1,    7,    7, 2048], dtype=int32),\n","  'shape_signature': array([  -1,    7,    7, 2048], dtype=int32),\n","  'dtype': numpy.float32,\n","  'quantization': (0.0, 0),\n","  'quantization_parameters': {'scales': array([], dtype=float32),\n","   'zero_points': array([], dtype=int32),\n","   'quantized_dimension': 0},\n","  'sparsity_parameters': {}}]"]},"metadata":{},"execution_count":17}]},{"cell_type":"code","source":["quant_resnet.allocate_tensors()"],"metadata":{"id":"Yceez0H0F51m"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["def save_dataset_for_quant(ds, save_path, tflite_model, tokenizer, shards=10, batch_size=1):\n","  ds = (ds\n","        .map(lambda path, caption: (load_image(path), caption))\n","        .apply(tf.data.experimental.ignore_errors())\n","        .batch(batch_size))\n","\n","  input_details = tflite_model.get_input_details()\n","  output_details = tflite_model.get_output_details()\n","\n","  def gen():\n","    for (images, captions) in tqdm.tqdm(ds):\n","      tflite_model.set_tensor(input_details[0]['index'], images.numpy())\n","      tflite_model.invoke()\n","      feature_maps = tflite_model.get_tensor(output_details[0]['index'])\n","      feature_maps = tf.convert_to_tensor(feature_maps, dtype=tf.float32)\n","\n","      feature_maps, captions = match_shapes(feature_maps, captions)\n","      yield feature_maps, captions\n","\n","\n","  new_ds = tf.data.Dataset.from_generator(\n","      gen,\n","      output_signature=(\n","          tf.TensorSpec(shape=(5, 7, 7, 2048)),\n","          tf.TensorSpec(shape=(None,), dtype=tf.string)))\n","\n","  # Apply the tokenization\n","  new_ds = (new_ds\n","            .map(prepare_txt, tf.data.AUTOTUNE)\n","            .unbatch()\n","            .shuffle(1000))\n","\n","  # Save the dataset into shard files.\n","  def shard_func(i, item):\n","    return i % shards\n","  new_ds.enumerate().save(save_path, shard_func=shard_func)"],"metadata":{"id":"LqycnwTu8uhn"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["save_dataset_for_quant(test_raw, 'test_cache_quant', quant_resnet, tokenizer)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Nq0MI3a-FcF5","executionInfo":{"status":"ok","timestamp":1700574888424,"user_tz":-540,"elapsed":312691,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"0c486be7-0286-4b2b-9344-c324fca046c7"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stderr","text":["1000it [05:10,  3.22it/s]\n"]}]},{"cell_type":"code","source":["test_ds_quant = load_dataset('test_cache_quant', batch_size=1)"],"metadata":{"id":"o1M3TskHJQQS"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["reconstructed_model.evaluate(\n","    test_ds_quant.repeat(),\n","    steps=1000\n",")"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"ZEsRH7KVJzGs","executionInfo":{"status":"ok","timestamp":1700574970992,"user_tz":-540,"elapsed":41352,"user":{"displayName":"SeongHae Jo","userId":"06012517289142631585"}},"outputId":"984905c4-ca41-4aa0-9e97-96a9633ff098"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["1000/1000 [==============================] - 34s 33ms/step - loss: 3.0572 - masked_acc: 0.3869\n"]},{"output_type":"execute_result","data":{"text/plain":["[3.05715274810791, 0.38686203956604004]"]},"metadata":{},"execution_count":23}]}],"metadata":{"accelerator":"GPU","colab":{"provenance":[{"file_id":"https://github.com/tensorflow/text/blob/master/docs/tutorials/image_captioning.ipynb","timestamp":1700285655922}],"gpuType":"T4"},"kernelspec":{"display_name":"Python 3","name":"python3"}},"nbformat":4,"nbformat_minor":0}