{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":6927000,"sourceType":"datasetVersion","datasetId":3977249}],"dockerImageVersionId":30299,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Introduction and Setup\n\nThis notebook utilizes a CycleGAN architecture to add Monet-style to photos. For this tutorial, we will be using the TFRecord dataset. Import the following packages and change the accelerator to TPU.\n\nFor more information, check out [TensorFlow](https://www.tensorflow.org/tutorials/generative/cyclegan) and [Keras](https://keras.io/examples/generative/cyclegan/) CycleGAN documentation pages.","metadata":{}},{"cell_type":"code","source":"import tensorflow as tf\nfrom tensorflow import keras\nfrom tensorflow.keras import layers\nimport tensorflow_addons as tfa\n\nfrom kaggle_datasets import KaggleDatasets\nimport matplotlib.pyplot as plt\nimport numpy as np\n\ntry:\n    tpu = tf.distribute.cluster_resolver.TPUClusterResolver()\n    print('Device:', tpu.master())\n    tf.config.experimental_connect_to_cluster(tpu)\n    tf.tpu.experimental.initialize_tpu_system(tpu)\n    strategy = tf.distribute.experimental.TPUStrategy(tpu)\nexcept:\n    strategy = tf.distribute.get_strategy()\nprint('Number of replicas:', strategy.num_replicas_in_sync)\n\nAUTOTUNE = tf.data.experimental.AUTOTUNE\n    \nprint(tf.__version__)","metadata":{"_uuid":"d629ff2d2480ee46fbb7e2d37f6b5fab8052498a","_cell_guid":"79c7e3d0-c299-4dcb-8224-4455121ee9b0","execution":{"iopub.status.busy":"2023-11-09T07:04:51.735596Z","iopub.execute_input":"2023-11-09T07:04:51.736511Z","iopub.status.idle":"2023-11-09T07:04:51.745888Z","shell.execute_reply.started":"2023-11-09T07:04:51.736474Z","shell.execute_reply":"2023-11-09T07:04:51.74483Z"},"trusted":true},"execution_count":24,"outputs":[{"name":"stdout","text":"Number of replicas: 1\n2.6.4\n","output_type":"stream"}]},{"cell_type":"markdown","source":"# Load in the data\n\nWe want to keep our photo dataset and our Monet dataset separate. First, load in the filenames of the TFRecords.","metadata":{}},{"cell_type":"code","source":"GCS_PATH = KaggleDatasets().get_gcs_path()\nGCS_PATH","metadata":{"execution":{"iopub.status.busy":"2023-11-09T07:04:54.740823Z","iopub.execute_input":"2023-11-09T07:04:54.741704Z","iopub.status.idle":"2023-11-09T07:05:07.134335Z","shell.execute_reply.started":"2023-11-09T07:04:54.741666Z","shell.execute_reply":"2023-11-09T07:05:07.13335Z"},"trusted":true},"execution_count":25,"outputs":[{"execution_count":25,"output_type":"execute_result","data":{"text/plain":"'gs://kds-e663bacbccb9278682b0d17a16067459fa1e60129d357813a6afe393'"},"metadata":{}}]},{"cell_type":"code","source":"MONET_FILENAMES = tf.io.gfile.glob(str(GCS_PATH + '/monet_tfrec/*.tfrecord'))\nprint('Monet TFRecord Files:', len(MONET_FILENAMES))\n# print(MONET_FILENAMES[:1])\n\nPHOTO_FILENAMES = tf.io.gfile.glob(str(GCS_PATH + '/photo_tfrec/*.tfrecord'))\nprint('Photo TFRecord Files:', len(PHOTO_FILENAMES))\n","metadata":{"execution":{"iopub.status.busy":"2023-11-09T07:06:11.558014Z","iopub.execute_input":"2023-11-09T07:06:11.558388Z","iopub.status.idle":"2023-11-09T07:06:12.936957Z","shell.execute_reply.started":"2023-11-09T07:06:11.558355Z","shell.execute_reply":"2023-11-09T07:06:12.935943Z"},"trusted":true},"execution_count":27,"outputs":[{"name":"stdout","text":"Monet TFRecord Files: 300\nPhoto TFRecord Files: 842\n","output_type":"stream"}]},{"cell_type":"code","source":"# convert jpg to tfrec \ndef _bytes_feature(value):\n    \"\"\"Returns a bytes_list from a string/byte.\"\"\"\n    if isinstance(value, type(tf.constant(0))):\n        value = value.numpy()  # BytesList won't unpack a string from an EagerTensor.\n    return tf.train.Feature(bytes_list=tf.train.BytesList(value=[value]))\n\ndef convert_images_to_tfrecord(image_filepaths, output_file):\n    writer = tf.io.TFRecordWriter(output_file)\n\n    for image_filepath in image_filepaths:\n        with open(image_filepath, 'rb') as image_file:\n            image_data = image_file.read()\n\n        feature = {\n            'image': _bytes_feature(image_data),\n        }\n\n        example = tf.train.Example(features=tf.train.Features(feature=feature))\n        writer.write(example.SerializeToString())\n\n    writer.close()","metadata":{"execution":{"iopub.status.busy":"2023-11-09T07:06:29.917036Z","iopub.execute_input":"2023-11-09T07:06:29.91743Z","iopub.status.idle":"2023-11-09T07:06:29.926372Z","shell.execute_reply.started":"2023-11-09T07:06:29.917397Z","shell.execute_reply":"2023-11-09T07:06:29.925254Z"},"trusted":true},"execution_count":29,"outputs":[]},{"cell_type":"code","source":"# # conversion \n# files = ['/kaggle/input/monet-gan-getting-started/monet_jpg/000c1e3bff.jpg']\n# convert_images_to_tfrecord(files, 'monet.tfrecord')\n","metadata":{"execution":{"iopub.status.busy":"2023-11-09T06:36:05.064578Z","iopub.execute_input":"2023-11-09T06:36:05.065518Z","iopub.status.idle":"2023-11-09T06:36:07.767127Z","shell.execute_reply.started":"2023-11-09T06:36:05.065483Z","shell.execute_reply":"2023-11-09T06:36:07.766297Z"},"trusted":true},"execution_count":18,"outputs":[]},{"cell_type":"markdown","source":"All the images for the competition are already sized to 256x256. As these images are RGB images, set the channel to 3. Additionally, we need to scale the images to a [-1, 1] scale. Because we are building a generative model, we don't need the labels or the image id so we'll only return the image from the TFRecord.","metadata":{}},{"cell_type":"code","source":"IMAGE_SIZE = [256, 256]\n\ndef decode_image(image):\n    \"\"\"common  pre-processing fn for Image processing where binary rep of images are converted to tf.float32\"\"\"\n    image = tf.image.decode_jpeg(image, channels=3)\n    image = (tf.cast(image, tf.float32) / 127.5) - 1\n    image = tf.reshape(image, [*IMAGE_SIZE, 3])\n    return image\n\n\ndef read_tfrecord(example):\n    tfrecord_format = {\n        \"image_name\": tf.io.FixedLenFeature([], tf.string),\n        \"image\": tf.io.FixedLenFeature([], tf.string),\n        \"target\": tf.io.FixedLenFeature([], tf.string)\n    }\n    example = tf.io.parse_single_example(example, tfrecord_format)\n    image = decode_image(example['image'])\n    return image","metadata":{"execution":{"iopub.status.busy":"2023-11-09T07:31:16.832587Z","iopub.execute_input":"2023-11-09T07:31:16.832976Z","iopub.status.idle":"2023-11-09T07:31:16.841723Z","shell.execute_reply.started":"2023-11-09T07:31:16.832944Z","shell.execute_reply":"2023-11-09T07:31:16.84067Z"},"trusted":true},"execution_count":51,"outputs":[]},{"cell_type":"markdown","source":"- The decode function first converts the binary rep of image to an acutal RGB representation( 3 channels) and then the cast function scales the RGB pixel values to (-1, 1) range for various activation functions like tanh or sigmoid function.\n- read_tfrecord function focuses on the format of a  tfrecord, as mentioned in the def , it is dic  with three keys: name, image, target. once we format, we call upon the decode to convert it into tfrecord value. ","metadata":{}},{"cell_type":"markdown","source":"Define the function to extract the image from the files.","metadata":{}},{"cell_type":"code","source":"def load_dataset(filenames, labeled=True, ordered=False):\n    dataset = tf.data.TFRecordDataset(filenames)\n    dataset = dataset.map(read_tfrecord, num_parallel_calls=AUTOTUNE)\n    return dataset","metadata":{"execution":{"iopub.status.busy":"2023-11-09T07:31:20.735828Z","iopub.execute_input":"2023-11-09T07:31:20.736496Z","iopub.status.idle":"2023-11-09T07:31:20.741592Z","shell.execute_reply.started":"2023-11-09T07:31:20.736461Z","shell.execute_reply":"2023-11-09T07:31:20.740494Z"},"trusted":true},"execution_count":52,"outputs":[]},{"cell_type":"markdown","source":"Let's load in our datasets.","metadata":{}},{"cell_type":"code","source":"MONET_FILENAMES[:2]","metadata":{"execution":{"iopub.status.busy":"2023-11-09T07:31:23.552315Z","iopub.execute_input":"2023-11-09T07:31:23.553243Z","iopub.status.idle":"2023-11-09T07:31:23.559199Z","shell.execute_reply.started":"2023-11-09T07:31:23.553202Z","shell.execute_reply":"2023-11-09T07:31:23.558296Z"},"trusted":true},"execution_count":53,"outputs":[{"execution_count":53,"output_type":"execute_result","data":{"text/plain":"['gs://kds-e663bacbccb9278682b0d17a16067459fa1e60129d357813a6afe393/monet_tfrec/monet_000c1e3bff.tfrecord',\n 'gs://kds-e663bacbccb9278682b0d17a16067459fa1e60129d357813a6afe393/monet_tfrec/monet_011835cfbf.tfrecord']"},"metadata":{}}]},{"cell_type":"code","source":"monet_ds = load_dataset(MONET_FILENAMES, labeled=True).batch(1)\n\n# monet_ds = load_dataset(MONET_FILENAMES, labeled=True).batch(1)\n# photo_ds = load_dataset(PHOTO_FILENAMES, labeled=True).batch(1)","metadata":{"execution":{"iopub.status.busy":"2023-11-09T07:31:25.744495Z","iopub.execute_input":"2023-11-09T07:31:25.744867Z","iopub.status.idle":"2023-11-09T07:31:25.889928Z","shell.execute_reply.started":"2023-11-09T07:31:25.744835Z","shell.execute_reply":"2023-11-09T07:31:25.889184Z"},"trusted":true},"execution_count":54,"outputs":[]},{"cell_type":"code","source":"monet_ds","metadata":{"execution":{"iopub.status.busy":"2023-11-09T07:31:29.241711Z","iopub.execute_input":"2023-11-09T07:31:29.242096Z","iopub.status.idle":"2023-11-09T07:31:29.248531Z","shell.execute_reply.started":"2023-11-09T07:31:29.242065Z","shell.execute_reply":"2023-11-09T07:31:29.247494Z"},"trusted":true},"execution_count":55,"outputs":[{"execution_count":55,"output_type":"execute_result","data":{"text/plain":"<BatchDataset shapes: (None, 256, 256, 3), types: tf.float32>"},"metadata":{}}]},{"cell_type":"code","source":"example_monet = next(iter(monet_ds))\nexample_photo = next(iter(photo_ds))","metadata":{"execution":{"iopub.status.busy":"2023-11-09T07:31:32.56072Z","iopub.execute_input":"2023-11-09T07:31:32.561399Z","iopub.status.idle":"2023-11-09T07:31:33.371187Z","shell.execute_reply.started":"2023-11-09T07:31:32.561365Z","shell.execute_reply":"2023-11-09T07:31:33.369393Z"},"trusted":true},"execution_count":56,"outputs":[{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mInvalidArgumentError\u001b[0m                      Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_27/4260856435.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mexample_monet\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmonet_ds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mexample_photo\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnext\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0miter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mphoto_ds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py\u001b[0m in \u001b[0;36m__next__\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    759\u001b[0m   \u001b[0;32mdef\u001b[0m \u001b[0m__next__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    760\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 761\u001b[0;31m       \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_next_internal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    762\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mOutOfRangeError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    763\u001b[0m       \u001b[0;32mraise\u001b[0m \u001b[0mStopIteration\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/tensorflow/python/data/ops/iterator_ops.py\u001b[0m in \u001b[0;36m_next_internal\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    745\u001b[0m           \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_iterator_resource\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    746\u001b[0m           \u001b[0moutput_types\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_flat_output_types\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 747\u001b[0;31m           output_shapes=self._flat_output_shapes)\n\u001b[0m\u001b[1;32m    748\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    749\u001b[0m       \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/tensorflow/python/ops/gen_dataset_ops.py\u001b[0m in \u001b[0;36miterator_get_next\u001b[0;34m(iterator, output_types, output_shapes, name)\u001b[0m\n\u001b[1;32m   2726\u001b[0m       \u001b[0;32mreturn\u001b[0m \u001b[0m_result\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2727\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0m_core\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_NotOkStatusException\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2728\u001b[0;31m       \u001b[0m_ops\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraise_from_not_ok_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2729\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0m_core\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_FallbackException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2730\u001b[0m       \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/tensorflow/python/framework/ops.py\u001b[0m in \u001b[0;36mraise_from_not_ok_status\u001b[0;34m(e, name)\u001b[0m\n\u001b[1;32m   6939\u001b[0m   \u001b[0mmessage\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmessage\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m\" name: \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m\"\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6940\u001b[0m   \u001b[0;31m# pylint: disable=protected-access\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 6941\u001b[0;31m   \u001b[0msix\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraise_from\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcore\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_status_to_exception\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0me\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcode\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmessage\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   6942\u001b[0m   \u001b[0;31m# pylint: enable=protected-access\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   6943\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;32m/opt/conda/lib/python3.7/site-packages/six.py\u001b[0m in \u001b[0;36mraise_from\u001b[0;34m(value, from_value)\u001b[0m\n","\u001b[0;31mInvalidArgumentError\u001b[0m: Feature: image_name (data type: string) is required but could not be found.\n\t [[{{node ParseSingleExample/ParseExample/ParseExampleV2}}]] [Op:IteratorGetNext]"],"ename":"InvalidArgumentError","evalue":"Feature: image_name (data type: string) is required but could not be found.\n\t [[{{node ParseSingleExample/ParseExample/ParseExampleV2}}]] [Op:IteratorGetNext]","output_type":"error"}]},{"cell_type":"markdown","source":"Let's  visualize a photo example and a Monet example.","metadata":{}},{"cell_type":"code","source":"plt.subplot(121)\nplt.title('Photo')\nplt.imshow(example_photo[0] * 0.5 + 0.5)\n\nplt.subplot(122)\nplt.title('Monet')\nplt.imshow(example_monet[0] * 0.5 + 0.5)","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:58:24.293594Z","iopub.execute_input":"2023-11-02T20:58:24.293944Z","iopub.status.idle":"2023-11-02T20:58:24.835178Z","shell.execute_reply.started":"2023-11-02T20:58:24.293915Z","shell.execute_reply":"2023-11-02T20:58:24.834241Z"},"trusted":true},"execution_count":9,"outputs":[{"execution_count":9,"output_type":"execute_result","data":{"text/plain":"<matplotlib.image.AxesImage at 0x7f52a41b3dd0>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 2 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"# Build the generator\n\nWe'll be using a UNET architecture for our CycleGAN. To build our generator, let's first define our `downsample` and `upsample` methods.\n\nThe `downsample`, as the name suggests, reduces the 2D dimensions, the width and height, of the image by the stride. The stride is the length of the step the filter takes. Since the stride is 2, the filter is applied to every other pixel, hence reducing the weight and height by 2.\n\nWe'll be using an instance normalization instead of batch normalization. As the instance normalization is not standard in the TensorFlow API, we'll use the layer from TensorFlow Add-ons.","metadata":{}},{"cell_type":"code","source":"OUTPUT_CHANNELS = 3\n\ndef downsample(filters, size, apply_instancenorm=True):\n    initializer = tf.random_normal_initializer(0., 0.02)\n    gamma_init = keras.initializers.RandomNormal(mean=0.0, stddev=0.02)\n\n    result = keras.Sequential()\n    result.add(layers.Conv2D(filters, size, strides=2, padding='same',\n                             kernel_initializer=initializer, use_bias=False))\n\n    if apply_instancenorm:\n        result.add(tfa.layers.InstanceNormalization(gamma_initializer=gamma_init))\n\n    result.add(layers.LeakyReLU())\n\n    return result","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:58:28.672741Z","iopub.execute_input":"2023-11-02T20:58:28.673126Z","iopub.status.idle":"2023-11-02T20:58:28.680982Z","shell.execute_reply.started":"2023-11-02T20:58:28.673095Z","shell.execute_reply":"2023-11-02T20:58:28.679909Z"},"trusted":true},"execution_count":10,"outputs":[]},{"cell_type":"markdown","source":"`Upsample` does the opposite of downsample and increases the dimensions of the of the image. `Conv2DTranspose` does basically the opposite of a `Conv2D` layer.","metadata":{}},{"cell_type":"code","source":"def upsample(filters, size, apply_dropout=False):\n    initializer = tf.random_normal_initializer(0., 0.02)\n    gamma_init = keras.initializers.RandomNormal(mean=0.0, stddev=0.02)\n\n    result = keras.Sequential()\n    result.add(layers.Conv2DTranspose(filters, size, strides=2,\n                                      padding='same',\n                                      kernel_initializer=initializer,\n                                      use_bias=False))\n\n    result.add(tfa.layers.InstanceNormalization(gamma_initializer=gamma_init))\n\n    if apply_dropout:\n        result.add(layers.Dropout(0.5))\n\n    result.add(layers.ReLU())\n\n    return result","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:58:32.452809Z","iopub.execute_input":"2023-11-02T20:58:32.453157Z","iopub.status.idle":"2023-11-02T20:58:32.460843Z","shell.execute_reply.started":"2023-11-02T20:58:32.453128Z","shell.execute_reply":"2023-11-02T20:58:32.4596Z"},"trusted":true},"execution_count":11,"outputs":[]},{"cell_type":"markdown","source":"Let's build our generator!\n\nThe generator first downsamples the input image and then upsample while establishing long skip connections. Skip connections are a way to help bypass the vanishing gradient problem by concatenating the output of a layer to multiple layers instead of only one. Here we concatenate the output of the downsample layer to the upsample layer in a symmetrical fashion.","metadata":{}},{"cell_type":"code","source":"def Generator():\n    inputs = layers.Input(shape=[256,256,3])\n\n    # bs = batch size\n    down_stack = [\n        downsample(64, 4, apply_instancenorm=False), # (bs, 128, 128, 64)\n        downsample(128, 4), # (bs, 64, 64, 128)\n        downsample(256, 4), # (bs, 32, 32, 256)\n        downsample(512, 4), # (bs, 16, 16, 512)\n        downsample(512, 4), # (bs, 8, 8, 512)\n        downsample(512, 4), # (bs, 4, 4, 512)\n        downsample(512, 4), # (bs, 2, 2, 512)\n        downsample(512, 4), # (bs, 1, 1, 512)\n    ]\n\n    up_stack = [\n        upsample(512, 4, apply_dropout=True), # (bs, 2, 2, 1024)\n        upsample(512, 4, apply_dropout=True), # (bs, 4, 4, 1024)\n        upsample(512, 4, apply_dropout=True), # (bs, 8, 8, 1024)\n        upsample(512, 4), # (bs, 16, 16, 1024)\n        upsample(256, 4), # (bs, 32, 32, 512)\n        upsample(128, 4), # (bs, 64, 64, 256)\n        upsample(64, 4), # (bs, 128, 128, 128)\n    ]\n\n    initializer = tf.random_normal_initializer(0., 0.02)\n    last = layers.Conv2DTranspose(OUTPUT_CHANNELS, 4,\n                                  strides=2,\n                                  padding='same',\n                                  kernel_initializer=initializer,\n                                  activation='tanh') # (bs, 256, 256, 3)\n\n    x = inputs\n\n    # Downsampling through the model\n    skips = []\n    for down in down_stack:\n        x = down(x)\n        skips.append(x)\n\n    skips = reversed(skips[:-1])\n\n    # Upsampling and establishing the skip connections\n    for up, skip in zip(up_stack, skips):\n        x = up(x)\n        x = layers.Concatenate()([x, skip])\n\n    x = last(x)\n\n    return keras.Model(inputs=inputs, outputs=x)","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:58:36.869926Z","iopub.execute_input":"2023-11-02T20:58:36.870606Z","iopub.status.idle":"2023-11-02T20:58:36.882822Z","shell.execute_reply.started":"2023-11-02T20:58:36.870571Z","shell.execute_reply":"2023-11-02T20:58:36.881821Z"},"trusted":true},"execution_count":12,"outputs":[]},{"cell_type":"code","source":"Generator().summary()","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:58:43.25312Z","iopub.execute_input":"2023-11-02T20:58:43.253925Z","iopub.status.idle":"2023-11-02T20:58:44.672971Z","shell.execute_reply.started":"2023-11-02T20:58:43.253889Z","shell.execute_reply":"2023-11-02T20:58:44.671963Z"},"trusted":true},"execution_count":13,"outputs":[{"name":"stdout","text":"Model: \"model\"\n__________________________________________________________________________________________________\nLayer (type)                    Output Shape         Param #     Connected to                     \n==================================================================================================\ninput_1 (InputLayer)            [(None, 256, 256, 3) 0                                            \n__________________________________________________________________________________________________\nsequential (Sequential)         (None, 128, 128, 64) 3072        input_1[0][0]                    \n__________________________________________________________________________________________________\nsequential_1 (Sequential)       (None, 64, 64, 128)  131328      sequential[0][0]                 \n__________________________________________________________________________________________________\nsequential_2 (Sequential)       (None, 32, 32, 256)  524800      sequential_1[0][0]               \n__________________________________________________________________________________________________\nsequential_3 (Sequential)       (None, 16, 16, 512)  2098176     sequential_2[0][0]               \n__________________________________________________________________________________________________\nsequential_4 (Sequential)       (None, 8, 8, 512)    4195328     sequential_3[0][0]               \n__________________________________________________________________________________________________\nsequential_5 (Sequential)       (None, 4, 4, 512)    4195328     sequential_4[0][0]               \n__________________________________________________________________________________________________\nsequential_6 (Sequential)       (None, 2, 2, 512)    4195328     sequential_5[0][0]               \n__________________________________________________________________________________________________\nsequential_7 (Sequential)       (None, 1, 1, 512)    4195328     sequential_6[0][0]               \n__________________________________________________________________________________________________\nsequential_8 (Sequential)       (None, 2, 2, 512)    4195328     sequential_7[0][0]               \n__________________________________________________________________________________________________\nconcatenate (Concatenate)       (None, 2, 2, 1024)   0           sequential_8[0][0]               \n                                                                 sequential_6[0][0]               \n__________________________________________________________________________________________________\nsequential_9 (Sequential)       (None, 4, 4, 512)    8389632     concatenate[0][0]                \n__________________________________________________________________________________________________\nconcatenate_1 (Concatenate)     (None, 4, 4, 1024)   0           sequential_9[0][0]               \n                                                                 sequential_5[0][0]               \n__________________________________________________________________________________________________\nsequential_10 (Sequential)      (None, 8, 8, 512)    8389632     concatenate_1[0][0]              \n__________________________________________________________________________________________________\nconcatenate_2 (Concatenate)     (None, 8, 8, 1024)   0           sequential_10[0][0]              \n                                                                 sequential_4[0][0]               \n__________________________________________________________________________________________________\nsequential_11 (Sequential)      (None, 16, 16, 512)  8389632     concatenate_2[0][0]              \n__________________________________________________________________________________________________\nconcatenate_3 (Concatenate)     (None, 16, 16, 1024) 0           sequential_11[0][0]              \n                                                                 sequential_3[0][0]               \n__________________________________________________________________________________________________\nsequential_12 (Sequential)      (None, 32, 32, 256)  4194816     concatenate_3[0][0]              \n__________________________________________________________________________________________________\nconcatenate_4 (Concatenate)     (None, 32, 32, 512)  0           sequential_12[0][0]              \n                                                                 sequential_2[0][0]               \n__________________________________________________________________________________________________\nsequential_13 (Sequential)      (None, 64, 64, 128)  1048832     concatenate_4[0][0]              \n__________________________________________________________________________________________________\nconcatenate_5 (Concatenate)     (None, 64, 64, 256)  0           sequential_13[0][0]              \n                                                                 sequential_1[0][0]               \n__________________________________________________________________________________________________\nsequential_14 (Sequential)      (None, 128, 128, 64) 262272      concatenate_5[0][0]              \n__________________________________________________________________________________________________\nconcatenate_6 (Concatenate)     (None, 128, 128, 128 0           sequential_14[0][0]              \n                                                                 sequential[0][0]                 \n__________________________________________________________________________________________________\nconv2d_transpose_7 (Conv2DTrans (None, 256, 256, 3)  6147        concatenate_6[0][0]              \n==================================================================================================\nTotal params: 54,414,979\nTrainable params: 54,414,979\nNon-trainable params: 0\n__________________________________________________________________________________________________\n","output_type":"stream"}]},{"cell_type":"markdown","source":"# Build the discriminator\n\nThe discriminator takes in the input image and classifies it as real or fake (generated). Instead of outputing a single node, the discriminator outputs a smaller 2D image with higher pixel values indicating a real classification and lower values indicating a fake classification.","metadata":{}},{"cell_type":"code","source":"def Discriminator():\n    initializer = tf.random_normal_initializer(0., 0.02)\n    gamma_init = keras.initializers.RandomNormal(mean=0.0, stddev=0.02)\n\n    inp = layers.Input(shape=[256, 256, 3], name='input_image')\n\n    x = inp\n\n    down1 = downsample(64, 4, False)(x) # (bs, 128, 128, 64)\n    down2 = downsample(128, 4)(down1) # (bs, 64, 64, 128)\n    down3 = downsample(256, 4)(down2) # (bs, 32, 32, 256)\n\n    zero_pad1 = layers.ZeroPadding2D()(down3) # (bs, 34, 34, 256)\n    conv = layers.Conv2D(512, 4, strides=1,\n                         kernel_initializer=initializer,\n                         use_bias=False)(zero_pad1) # (bs, 31, 31, 512)\n\n    norm1 = tfa.layers.InstanceNormalization(gamma_initializer=gamma_init)(conv)\n\n    leaky_relu = layers.LeakyReLU()(norm1)\n\n    zero_pad2 = layers.ZeroPadding2D()(leaky_relu) # (bs, 33, 33, 512)\n\n    last = layers.Conv2D(1, 4, strides=1,\n                         kernel_initializer=initializer)(zero_pad2) # (bs, 30, 30, 1)\n\n    return tf.keras.Model(inputs=inp, outputs=last)","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:58:48.494399Z","iopub.execute_input":"2023-11-02T20:58:48.495171Z","iopub.status.idle":"2023-11-02T20:58:48.504817Z","shell.execute_reply.started":"2023-11-02T20:58:48.495134Z","shell.execute_reply":"2023-11-02T20:58:48.503718Z"},"trusted":true},"execution_count":14,"outputs":[]},{"cell_type":"code","source":"Discriminator().summary()","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:58:53.420089Z","iopub.execute_input":"2023-11-02T20:58:53.420503Z","iopub.status.idle":"2023-11-02T20:58:53.595484Z","shell.execute_reply.started":"2023-11-02T20:58:53.420453Z","shell.execute_reply":"2023-11-02T20:58:53.594509Z"},"trusted":true},"execution_count":15,"outputs":[{"name":"stdout","text":"Model: \"model_1\"\n_________________________________________________________________\nLayer (type)                 Output Shape              Param #   \n=================================================================\ninput_image (InputLayer)     [(None, 256, 256, 3)]     0         \n_________________________________________________________________\nsequential_15 (Sequential)   (None, 128, 128, 64)      3072      \n_________________________________________________________________\nsequential_16 (Sequential)   (None, 64, 64, 128)       131328    \n_________________________________________________________________\nsequential_17 (Sequential)   (None, 32, 32, 256)       524800    \n_________________________________________________________________\nzero_padding2d (ZeroPadding2 (None, 34, 34, 256)       0         \n_________________________________________________________________\nconv2d_11 (Conv2D)           (None, 31, 31, 512)       2097152   \n_________________________________________________________________\ninstance_normalization_16 (I (None, 31, 31, 512)       1024      \n_________________________________________________________________\nleaky_re_lu_11 (LeakyReLU)   (None, 31, 31, 512)       0         \n_________________________________________________________________\nzero_padding2d_1 (ZeroPaddin (None, 33, 33, 512)       0         \n_________________________________________________________________\nconv2d_12 (Conv2D)           (None, 30, 30, 1)         8193      \n=================================================================\nTotal params: 2,765,569\nTrainable params: 2,765,569\nNon-trainable params: 0\n_________________________________________________________________\n","output_type":"stream"}]},{"cell_type":"code","source":"with strategy.scope():\n    monet_generator = Generator() # transforms photos to Monet-esque paintings\n    photo_generator = Generator() # transforms Monet paintings to be more like photos\n\n    monet_discriminator = Discriminator() # differentiates real Monet paintings and generated Monet paintings\n    photo_discriminator = Discriminator() # differentiates real photos and generated photos","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:58:54.560735Z","iopub.execute_input":"2023-11-02T20:58:54.561481Z","iopub.status.idle":"2023-11-02T20:58:56.652575Z","shell.execute_reply.started":"2023-11-02T20:58:54.561446Z","shell.execute_reply":"2023-11-02T20:58:56.65172Z"},"trusted":true},"execution_count":16,"outputs":[]},{"cell_type":"markdown","source":"Since our generators are not trained yet, the generated Monet-esque photo does not show what is expected at this point.","metadata":{}},{"cell_type":"code","source":"to_monet = monet_generator(example_photo)\n\nplt.subplot(1, 2, 1)\nplt.title(\"Original Photo\")\nplt.imshow(example_photo[0] * 0.5 + 0.5)\n\nplt.subplot(1, 2, 2)\nplt.title(\"Monet-esque Photo\")\nplt.imshow(to_monet[0] * 0.5 + 0.5)\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:59:00.398999Z","iopub.execute_input":"2023-11-02T20:59:00.399631Z","iopub.status.idle":"2023-11-02T20:59:07.102364Z","shell.execute_reply.started":"2023-11-02T20:59:00.399595Z","shell.execute_reply":"2023-11-02T20:59:07.10143Z"},"trusted":true},"execution_count":17,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 2 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"markdown","source":"# Build the CycleGAN model\n\nWe will subclass a `tf.keras.Model` so that we can run `fit()` later to train our model. During the training step, the model transforms a photo to a Monet painting and then back to a photo. The difference between the original photo and the twice-transformed photo is the cycle-consistency loss. We want the original photo and the twice-transformed photo to be similar to one another.\n\nThe losses are defined in the next section.","metadata":{}},{"cell_type":"code","source":"class CycleGan(keras.Model):\n    def __init__(\n        self,\n        monet_generator,\n        photo_generator,\n        monet_discriminator,\n        photo_discriminator,\n        lambda_cycle=10,\n    ):\n        super(CycleGan, self).__init__()\n        self.m_gen = monet_generator\n        self.p_gen = photo_generator\n        self.m_disc = monet_discriminator\n        self.p_disc = photo_discriminator\n        self.lambda_cycle = lambda_cycle\n        \n    def compile(\n        self,\n        m_gen_optimizer,\n        p_gen_optimizer,\n        m_disc_optimizer,\n        p_disc_optimizer,\n        gen_loss_fn,\n        disc_loss_fn,\n        cycle_loss_fn,\n        identity_loss_fn\n    ):\n        super(CycleGan, self).compile()\n        self.m_gen_optimizer = m_gen_optimizer\n        self.p_gen_optimizer = p_gen_optimizer\n        self.m_disc_optimizer = m_disc_optimizer\n        self.p_disc_optimizer = p_disc_optimizer\n        self.gen_loss_fn = gen_loss_fn\n        self.disc_loss_fn = disc_loss_fn\n        self.cycle_loss_fn = cycle_loss_fn\n        self.identity_loss_fn = identity_loss_fn\n        \n    def train_step(self, batch_data):\n        real_monet, real_photo = batch_data\n        \n        with tf.GradientTape(persistent=True) as tape:\n            # photo to monet back to photo\n            fake_monet = self.m_gen(real_photo, training=True)\n            cycled_photo = self.p_gen(fake_monet, training=True)\n\n            # monet to photo back to monet\n            fake_photo = self.p_gen(real_monet, training=True)\n            cycled_monet = self.m_gen(fake_photo, training=True)\n\n            # generating itself\n            same_monet = self.m_gen(real_monet, training=True)\n            same_photo = self.p_gen(real_photo, training=True)\n\n            # discriminator used to check, inputing real images\n            disc_real_monet = self.m_disc(real_monet, training=True)\n            disc_real_photo = self.p_disc(real_photo, training=True)\n\n            # discriminator used to check, inputing fake images\n            disc_fake_monet = self.m_disc(fake_monet, training=True)\n            disc_fake_photo = self.p_disc(fake_photo, training=True)\n\n            # evaluates generator loss\n            monet_gen_loss = self.gen_loss_fn(disc_fake_monet)\n            photo_gen_loss = self.gen_loss_fn(disc_fake_photo)\n\n            # evaluates total cycle consistency loss\n            total_cycle_loss = self.cycle_loss_fn(real_monet, cycled_monet, self.lambda_cycle) + self.cycle_loss_fn(real_photo, cycled_photo, self.lambda_cycle)\n\n            # evaluates total generator loss\n            total_monet_gen_loss = monet_gen_loss + total_cycle_loss + self.identity_loss_fn(real_monet, same_monet, self.lambda_cycle)\n            total_photo_gen_loss = photo_gen_loss + total_cycle_loss + self.identity_loss_fn(real_photo, same_photo, self.lambda_cycle)\n\n            # evaluates discriminator loss\n            monet_disc_loss = self.disc_loss_fn(disc_real_monet, disc_fake_monet)\n            photo_disc_loss = self.disc_loss_fn(disc_real_photo, disc_fake_photo)\n\n        # Calculate the gradients for generator and discriminator\n        monet_generator_gradients = tape.gradient(total_monet_gen_loss,\n                                                  self.m_gen.trainable_variables)\n        photo_generator_gradients = tape.gradient(total_photo_gen_loss,\n                                                  self.p_gen.trainable_variables)\n\n        monet_discriminator_gradients = tape.gradient(monet_disc_loss,\n                                                      self.m_disc.trainable_variables)\n        photo_discriminator_gradients = tape.gradient(photo_disc_loss,\n                                                      self.p_disc.trainable_variables)\n\n        # Apply the gradients to the optimizer\n        self.m_gen_optimizer.apply_gradients(zip(monet_generator_gradients,\n                                                 self.m_gen.trainable_variables))\n\n        self.p_gen_optimizer.apply_gradients(zip(photo_generator_gradients,\n                                                 self.p_gen.trainable_variables))\n\n        self.m_disc_optimizer.apply_gradients(zip(monet_discriminator_gradients,\n                                                  self.m_disc.trainable_variables))\n\n        self.p_disc_optimizer.apply_gradients(zip(photo_discriminator_gradients,\n                                                  self.p_disc.trainable_variables))\n        \n        return {\n            \"monet_gen_loss\": total_monet_gen_loss,\n            \"photo_gen_loss\": total_photo_gen_loss,\n            \"monet_disc_loss\": monet_disc_loss,\n            \"photo_disc_loss\": photo_disc_loss\n        }","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:59:25.554515Z","iopub.execute_input":"2023-11-02T20:59:25.554892Z","iopub.status.idle":"2023-11-02T20:59:25.576874Z","shell.execute_reply.started":"2023-11-02T20:59:25.554859Z","shell.execute_reply":"2023-11-02T20:59:25.575979Z"},"trusted":true},"execution_count":20,"outputs":[]},{"cell_type":"markdown","source":"# Define loss functions\n\nThe discriminator loss function below compares real images to a matrix of 1s and fake images to a matrix of 0s. The perfect discriminator will output all 1s for real images and all 0s for fake images. The discriminator loss outputs the average of the real and generated loss.","metadata":{}},{"cell_type":"code","source":"with strategy.scope():\n    def discriminator_loss(real, generated):\n        real_loss = tf.keras.losses.BinaryCrossentropy(from_logits=True, reduction=tf.keras.losses.Reduction.NONE)(tf.ones_like(real), real)\n\n        generated_loss = tf.keras.losses.BinaryCrossentropy(from_logits=True, reduction=tf.keras.losses.Reduction.NONE)(tf.zeros_like(generated), generated)\n\n        total_disc_loss = real_loss + generated_loss\n\n        return total_disc_loss * 0.5","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:59:46.699884Z","iopub.execute_input":"2023-11-02T20:59:46.700613Z","iopub.status.idle":"2023-11-02T20:59:46.70731Z","shell.execute_reply.started":"2023-11-02T20:59:46.700574Z","shell.execute_reply":"2023-11-02T20:59:46.706254Z"},"trusted":true},"execution_count":25,"outputs":[]},{"cell_type":"markdown","source":"The generator wants to fool the discriminator into thinking the generated image is real. The perfect generator will have the discriminator output only 1s. Thus, it compares the generated image to a matrix of 1s to find the loss.","metadata":{}},{"cell_type":"code","source":"with strategy.scope():\n    def generator_loss(generated):\n        return tf.keras.losses.BinaryCrossentropy(from_logits=True, reduction=tf.keras.losses.Reduction.NONE)(tf.ones_like(generated), generated)","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:59:48.431703Z","iopub.execute_input":"2023-11-02T20:59:48.432489Z","iopub.status.idle":"2023-11-02T20:59:48.438035Z","shell.execute_reply.started":"2023-11-02T20:59:48.432452Z","shell.execute_reply":"2023-11-02T20:59:48.436977Z"},"trusted":true},"execution_count":26,"outputs":[]},{"cell_type":"markdown","source":"We want our original photo and the twice transformed photo to be similar to one another. Thus, we can calculate the cycle consistency loss be finding the average of their difference.","metadata":{}},{"cell_type":"code","source":"with strategy.scope():\n    def calc_cycle_loss(real_image, cycled_image, LAMBDA):\n        loss1 = tf.reduce_mean(tf.abs(real_image - cycled_image))\n\n        return LAMBDA * loss1","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:59:49.794713Z","iopub.execute_input":"2023-11-02T20:59:49.795647Z","iopub.status.idle":"2023-11-02T20:59:49.800802Z","shell.execute_reply.started":"2023-11-02T20:59:49.795608Z","shell.execute_reply":"2023-11-02T20:59:49.799735Z"},"trusted":true},"execution_count":27,"outputs":[]},{"cell_type":"markdown","source":"The identity loss compares the image with its generator (i.e. photo with photo generator). If given a photo as input, we want it to generate the same image as the image was originally a photo. The identity loss compares the input with the output of the generator.","metadata":{}},{"cell_type":"code","source":"with strategy.scope():\n    def identity_loss(real_image, same_image, LAMBDA):\n        loss = tf.reduce_mean(tf.abs(real_image - same_image))\n        return LAMBDA * 0.5 * loss","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:59:51.672736Z","iopub.execute_input":"2023-11-02T20:59:51.673496Z","iopub.status.idle":"2023-11-02T20:59:51.678488Z","shell.execute_reply.started":"2023-11-02T20:59:51.67346Z","shell.execute_reply":"2023-11-02T20:59:51.677506Z"},"trusted":true},"execution_count":28,"outputs":[]},{"cell_type":"markdown","source":"# Train the CycleGAN\n\nLet's compile our model. Since we used `tf.keras.Model` to build our CycleGAN, we can just ude the `fit` function to train our model.","metadata":{}},{"cell_type":"code","source":"with strategy.scope():\n    monet_generator_optimizer = tf.keras.optimizers.Adam(2e-4, beta_1=0.5)\n    photo_generator_optimizer = tf.keras.optimizers.Adam(2e-4, beta_1=0.5)\n\n    monet_discriminator_optimizer = tf.keras.optimizers.Adam(2e-4, beta_1=0.5)\n    photo_discriminator_optimizer = tf.keras.optimizers.Adam(2e-4, beta_1=0.5)","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:59:54.010558Z","iopub.execute_input":"2023-11-02T20:59:54.010934Z","iopub.status.idle":"2023-11-02T20:59:54.017827Z","shell.execute_reply.started":"2023-11-02T20:59:54.010901Z","shell.execute_reply":"2023-11-02T20:59:54.016777Z"},"trusted":true},"execution_count":29,"outputs":[]},{"cell_type":"code","source":"with strategy.scope():\n    cycle_gan_model = CycleGan(\n        monet_generator, photo_generator, monet_discriminator, photo_discriminator\n    )\n\n    cycle_gan_model.compile(\n        m_gen_optimizer = monet_generator_optimizer,\n        p_gen_optimizer = photo_generator_optimizer,\n        m_disc_optimizer = monet_discriminator_optimizer,\n        p_disc_optimizer = photo_discriminator_optimizer,\n        gen_loss_fn = generator_loss,\n        disc_loss_fn = discriminator_loss,\n        cycle_loss_fn = calc_cycle_loss,\n        identity_loss_fn = identity_loss\n    )","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:59:55.811981Z","iopub.execute_input":"2023-11-02T20:59:55.812736Z","iopub.status.idle":"2023-11-02T20:59:55.834675Z","shell.execute_reply.started":"2023-11-02T20:59:55.812699Z","shell.execute_reply":"2023-11-02T20:59:55.833853Z"},"trusted":true},"execution_count":30,"outputs":[]},{"cell_type":"code","source":"cycle_gan_model.fit(\n    tf.data.Dataset.zip((monet_ds, photo_ds)),\n    epochs=25\n)","metadata":{"execution":{"iopub.status.busy":"2023-11-02T20:59:57.430724Z","iopub.execute_input":"2023-11-02T20:59:57.431105Z","iopub.status.idle":"2023-11-02T21:33:00.772238Z","shell.execute_reply.started":"2023-11-02T20:59:57.431071Z","shell.execute_reply":"2023-11-02T21:33:00.771232Z"},"trusted":true},"execution_count":31,"outputs":[{"name":"stdout","text":"Epoch 1/25\n300/300 [==============================] - 120s 250ms/step - monet_gen_loss: 5.0978 - photo_gen_loss: 5.3592 - monet_disc_loss: 0.6609 - photo_disc_loss: 0.6064\nEpoch 2/25\n300/300 [==============================] - 77s 244ms/step - monet_gen_loss: 3.5913 - photo_gen_loss: 3.9907 - monet_disc_loss: 0.6867 - photo_disc_loss: 0.5181\nEpoch 3/25\n300/300 [==============================] - 77s 245ms/step - monet_gen_loss: 3.5721 - photo_gen_loss: 3.9462 - monet_disc_loss: 0.6609 - photo_disc_loss: 0.5875\nEpoch 4/25\n300/300 [==============================] - 77s 246ms/step - monet_gen_loss: 3.5253 - photo_gen_loss: 3.9208 - monet_disc_loss: 0.6536 - photo_disc_loss: 0.5439\nEpoch 5/25\n300/300 [==============================] - 78s 249ms/step - monet_gen_loss: 3.3976 - photo_gen_loss: 3.6807 - monet_disc_loss: 0.6438 - photo_disc_loss: 0.5865\nEpoch 6/25\n300/300 [==============================] - 77s 245ms/step - monet_gen_loss: 3.2832 - photo_gen_loss: 3.5061 - monet_disc_loss: 0.6316 - photo_disc_loss: 0.5886\nEpoch 7/25\n300/300 [==============================] - 78s 249ms/step - monet_gen_loss: 3.2321 - photo_gen_loss: 3.4145 - monet_disc_loss: 0.6175 - photo_disc_loss: 0.5877\nEpoch 8/25\n300/300 [==============================] - 77s 244ms/step - monet_gen_loss: 3.2357 - photo_gen_loss: 3.3182 - monet_disc_loss: 0.6036 - photo_disc_loss: 0.6094\nEpoch 9/25\n300/300 [==============================] - 78s 248ms/step - monet_gen_loss: 3.2325 - photo_gen_loss: 3.2846 - monet_disc_loss: 0.6026 - photo_disc_loss: 0.6062\nEpoch 10/25\n300/300 [==============================] - 76s 244ms/step - monet_gen_loss: 3.2374 - photo_gen_loss: 3.2598 - monet_disc_loss: 0.5981 - photo_disc_loss: 0.6130\nEpoch 11/25\n300/300 [==============================] - 77s 244ms/step - monet_gen_loss: 3.1927 - photo_gen_loss: 3.2051 - monet_disc_loss: 0.6056 - photo_disc_loss: 0.6218\nEpoch 12/25\n300/300 [==============================] - 78s 247ms/step - monet_gen_loss: 3.1513 - photo_gen_loss: 3.1573 - monet_disc_loss: 0.5972 - photo_disc_loss: 0.6166\nEpoch 13/25\n300/300 [==============================] - 78s 248ms/step - monet_gen_loss: 3.1137 - photo_gen_loss: 3.1249 - monet_disc_loss: 0.5993 - photo_disc_loss: 0.6132\nEpoch 14/25\n300/300 [==============================] - 77s 246ms/step - monet_gen_loss: 3.0685 - photo_gen_loss: 3.1119 - monet_disc_loss: 0.6043 - photo_disc_loss: 0.6111\nEpoch 15/25\n300/300 [==============================] - 76s 245ms/step - monet_gen_loss: 3.0308 - photo_gen_loss: 3.0964 - monet_disc_loss: 0.6096 - photo_disc_loss: 0.6106\nEpoch 16/25\n300/300 [==============================] - 78s 250ms/step - monet_gen_loss: 2.9876 - photo_gen_loss: 3.0794 - monet_disc_loss: 0.6142 - photo_disc_loss: 0.6138\nEpoch 17/25\n300/300 [==============================] - 78s 249ms/step - monet_gen_loss: 2.9341 - photo_gen_loss: 3.0385 - monet_disc_loss: 0.6182 - photo_disc_loss: 0.6132\nEpoch 18/25\n300/300 [==============================] - 78s 249ms/step - monet_gen_loss: 2.8992 - photo_gen_loss: 3.0101 - monet_disc_loss: 0.6219 - photo_disc_loss: 0.6137\nEpoch 19/25\n300/300 [==============================] - 77s 245ms/step - monet_gen_loss: 2.8436 - photo_gen_loss: 2.9915 - monet_disc_loss: 0.6323 - photo_disc_loss: 0.6104\nEpoch 20/25\n300/300 [==============================] - 78s 248ms/step - monet_gen_loss: 2.8022 - photo_gen_loss: 2.9585 - monet_disc_loss: 0.6342 - photo_disc_loss: 0.6056\nEpoch 21/25\n300/300 [==============================] - 78s 247ms/step - monet_gen_loss: 2.7613 - photo_gen_loss: 2.9326 - monet_disc_loss: 0.6370 - photo_disc_loss: 0.6000\nEpoch 22/25\n300/300 [==============================] - 78s 247ms/step - monet_gen_loss: 2.7370 - photo_gen_loss: 2.9134 - monet_disc_loss: 0.6414 - photo_disc_loss: 0.5969\nEpoch 23/25\n300/300 [==============================] - 78s 248ms/step - monet_gen_loss: 2.7385 - photo_gen_loss: 2.9126 - monet_disc_loss: 0.6363 - photo_disc_loss: 0.5954\nEpoch 24/25\n300/300 [==============================] - 77s 246ms/step - monet_gen_loss: 2.7270 - photo_gen_loss: 2.8936 - monet_disc_loss: 0.6343 - photo_disc_loss: 0.5997\nEpoch 25/25\n300/300 [==============================] - 76s 244ms/step - monet_gen_loss: 2.7219 - photo_gen_loss: 2.8750 - monet_disc_loss: 0.6318 - photo_disc_loss: 0.5992\n","output_type":"stream"},{"execution_count":31,"output_type":"execute_result","data":{"text/plain":"<keras.callbacks.History at 0x7f5293627a10>"},"metadata":{}}]},{"cell_type":"markdown","source":"# Visualize our Monet-esque photos","metadata":{}},{"cell_type":"code","source":"_, ax = plt.subplots(5, 2, figsize=(12, 12))\nfor i, img in enumerate(photo_ds.take(5)):\n    prediction = monet_generator(img, training=False)[0].numpy()\n    prediction = (prediction * 127.5 + 127.5).astype(np.uint8)\n    img = (img[0] * 127.5 + 127.5).numpy().astype(np.uint8)\n\n    ax[i, 0].imshow(img)\n    ax[i, 1].imshow(prediction)\n    ax[i, 0].set_title(\"Input Photo\")\n    ax[i, 1].set_title(\"Monet-esque\")\n    ax[i, 0].axis(\"off\")\n    ax[i, 1].axis(\"off\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-11-02T21:34:46.086485Z","iopub.execute_input":"2023-11-02T21:34:46.086884Z","iopub.status.idle":"2023-11-02T21:34:48.365612Z","shell.execute_reply.started":"2023-11-02T21:34:46.086849Z","shell.execute_reply":"2023-11-02T21:34:48.364529Z"},"trusted":true},"execution_count":32,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 864x864 with 10 Axes>","image/png":"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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"for epoch in range(25):  # Adjust the number of epochs as needed\n    for batch, (monet_images, photo_images) in enumerate(tf.data.Dataset.zip((monet_ds, photo_ds))):\n        with tf.GradientTape() as tape:\n            # Generate stylized images\n            monet_stylized_images = monet_generator(photo_images, training=True)\n            photo_stylized_images = photo_generator(monet_images, training=True)\n\n            # Calculate losses\n            gen_loss = cycle_gan_model.generator_loss(monet_images, photo_images, monet_stylized_images, photo_stylized_images)\n            disc_loss = cycle_gan_model.discriminator_loss(monet_images, photo_images, monet_stylized_images, photo_stylized_images)\n\n            # Calculate cycle and identity losses\n            cycle_loss = cycle_gan_model.cycle_loss(photo_images, monet_images, photo_stylized_images, monet_stylized_images)\n            identity_loss = cycle_gan_model.identity_loss(photo_images, monet_images)\n\n            # Print the losses\n            print(f\"Epoch {epoch + 1}, Batch {batch}, Generator Loss: {gen_loss}, Discriminator Loss: {disc_loss}, Cycle Loss: {cycle_loss}, Identity Loss: {identity_loss}\")\n\n        # Update the generator and discriminator weights\n        gradients = tape.gradient(gen_loss, monet_generator.trainable_variables + photo_generator.trainable_variables)\n        monet_generator_optimizer.apply_gradients(zip(gradients, monet_generator.trainable_variables + photo_generator.trainable_variables))\n\n        gradients = tape.gradient(disc_loss, monet_discriminator.trainable_variables + photo_discriminator.trainable_variables)\n        monet_discriminator_optimizer.apply_gradients(zip(gradients, monet_discriminator.trainable_variables + photo_discriminator.trainable_variables))\n","metadata":{"execution":{"iopub.status.busy":"2023-11-02T21:34:56.249265Z","iopub.execute_input":"2023-11-02T21:34:56.249955Z","iopub.status.idle":"2023-11-02T21:34:59.799457Z","shell.execute_reply.started":"2023-11-02T21:34:56.24992Z","shell.execute_reply":"2023-11-02T21:34:59.798225Z"},"trusted":true},"execution_count":33,"outputs":[{"traceback":["\u001b[0;31m---------------------------------------------------------------------------\u001b[0m","\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)","\u001b[0;32m/tmp/ipykernel_26/3596775878.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      8\u001b[0m             \u001b[0;31m# Calculate losses\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m             \u001b[0mgen_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcycle_gan_model\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgenerator_loss\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmonet_images\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mphoto_images\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmonet_stylized_images\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mphoto_stylized_images\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     10\u001b[0m             \u001b[0mdisc_loss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mcycle_gan_model\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdiscriminator_loss\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mmonet_images\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mphoto_images\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmonet_stylized_images\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mphoto_stylized_images\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n","\u001b[0;31mAttributeError\u001b[0m: 'CycleGan' object has no attribute 'generator_loss'"],"ename":"AttributeError","evalue":"'CycleGan' object has no attribute 'generator_loss'","output_type":"error"}]},{"cell_type":"markdown","source":"# Create submission file","metadata":{}},{"cell_type":"code","source":"import PIL\n! mkdir ../images","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"i = 1\nfor img in photo_ds:\n    prediction = monet_generator(img, training=False)[0].numpy()\n    prediction = (prediction * 127.5 + 127.5).astype(np.uint8)\n    im = PIL.Image.fromarray(prediction)\n    im.save(\"../images/\" + str(i) + \".jpg\")\n    i += 1","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import shutil\nshutil.make_archive(\"/kaggle/working/images\", 'zip', \"/kaggle/images\")","metadata":{"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"","metadata":{"trusted":true},"execution_count":null,"outputs":[]}]}