{"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"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Author\nLouis PAGNIER\n\n# Brest cancer detection\n\nThe goal of this notebook is to show to difference of using multiple GPU's parallelized to improve learning performance of a machine learning model.\n\n## Imports\n\nHere are the imports that we will use during this notebook","metadata":{}},{"cell_type":"code","source":"import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\nfrom PIL import Image\nfrom matplotlib import pyplot as plt\nimport tensorflow as tf\nimport sklearn\nimport time\nimport os","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:46:13.707446Z","iopub.execute_input":"2023-04-05T20:46:13.708851Z","iopub.status.idle":"2023-04-05T20:46:22.914854Z","shell.execute_reply.started":"2023-04-05T20:46:13.708794Z","shell.execute_reply":"2023-04-05T20:46:22.913502Z"},"trusted":true},"execution_count":1,"outputs":[]},{"cell_type":"markdown","source":"## Loading The Data\n\nThe first thing to do is to load the data (CSV + images)","metadata":{}},{"cell_type":"code","source":"# Loading all the images path in an array\npaths = []\nfor dirname, _, filenames in os.walk('/kaggle/input/breast-images-png'):\n    for filename in filenames:\n        if filename.split('.')[-1] == 'png':\n            paths.append(os.path.join(dirname, filename))\n        \n# Taking 4 first samples to display them\nexample_paths = paths[:4]\ndf = pd.read_csv(\"/kaggle/input/rsna-breast-cancer-detection/train.csv\")","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2023-04-05T20:46:22.91756Z","iopub.execute_input":"2023-04-05T20:46:22.918283Z","iopub.status.idle":"2023-04-05T20:46:38.445067Z","shell.execute_reply.started":"2023-04-05T20:46:22.918247Z","shell.execute_reply":"2023-04-05T20:46:38.443766Z"},"trusted":true},"execution_count":2,"outputs":[]},{"cell_type":"markdown","source":"## Show images\n\nHere, we will display the first 4 images contained in the dataset.","metadata":{}},{"cell_type":"code","source":"images = [np.asarray(Image.open(path)) for path in example_paths]\nfig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2)\nax1.imshow(images[0])\nax2.imshow(images[1])\nax3.imshow(images[2])\nax4.imshow(images[3])\nplt.plot()","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:46:38.448058Z","iopub.execute_input":"2023-04-05T20:46:38.448948Z","iopub.status.idle":"2023-04-05T20:46:39.300085Z","shell.execute_reply.started":"2023-04-05T20:46:38.448904Z","shell.execute_reply":"2023-04-05T20:46:39.298904Z"},"trusted":true},"execution_count":3,"outputs":[{"execution_count":3,"output_type":"execute_result","data":{"text/plain":"[]"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 640x480 with 4 Axes>","image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":"As we can see, images have a resolution of 256x256.","metadata":{}},{"cell_type":"markdown","source":"## Create train set\n\nFirstly, let's take a look at the csv structure","metadata":{}},{"cell_type":"code","source":"df = sklearn.utils.shuffle(df)\ndf.head()","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:46:39.302662Z","iopub.execute_input":"2023-04-05T20:46:39.303144Z","iopub.status.idle":"2023-04-05T20:46:39.345554Z","shell.execute_reply.started":"2023-04-05T20:46:39.303105Z","shell.execute_reply":"2023-04-05T20:46:39.344142Z"},"trusted":true},"execution_count":4,"outputs":[{"execution_count":4,"output_type":"execute_result","data":{"text/plain":"       site_id  patient_id    image_id laterality view   age  cancer  biopsy  \\\n52729        2         778  1103709351          R   CC  50.0       0       0   \n33191        2       45557  1726192071          L   CC  60.0       0       0   \n24852        1         366  1644950718          R   CC  43.0       0       0   \n10872        1       21713   974420536          R  MLO  71.0       0       0   \n35722        1       48298   400082112          L   CC  76.0       0       0   \n\n       invasive  BIRADS  implant density  machine_id  difficult_negative_case  \n52729         0     0.0        0     NaN          48                     True  \n33191         0     NaN        0     NaN          21                    False  \n24852         0     1.0        0       B          49                    False  \n10872         0     1.0        0       B          49                    False  \n35722         0     1.0        0       B         216                    False  ","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>site_id</th>\n      <th>patient_id</th>\n      <th>image_id</th>\n      <th>laterality</th>\n      <th>view</th>\n      <th>age</th>\n      <th>cancer</th>\n      <th>biopsy</th>\n      <th>invasive</th>\n      <th>BIRADS</th>\n      <th>implant</th>\n      <th>density</th>\n      <th>machine_id</th>\n      <th>difficult_negative_case</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>52729</th>\n      <td>2</td>\n      <td>778</td>\n      <td>1103709351</td>\n      <td>R</td>\n      <td>CC</td>\n      <td>50.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>48</td>\n      <td>True</td>\n    </tr>\n    <tr>\n      <th>33191</th>\n      <td>2</td>\n      <td>45557</td>\n      <td>1726192071</td>\n      <td>L</td>\n      <td>CC</td>\n      <td>60.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>NaN</td>\n      <td>21</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>24852</th>\n      <td>1</td>\n      <td>366</td>\n      <td>1644950718</td>\n      <td>R</td>\n      <td>CC</td>\n      <td>43.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B</td>\n      <td>49</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>10872</th>\n      <td>1</td>\n      <td>21713</td>\n      <td>974420536</td>\n      <td>R</td>\n      <td>MLO</td>\n      <td>71.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B</td>\n      <td>49</td>\n      <td>False</td>\n    </tr>\n    <tr>\n      <th>35722</th>\n      <td>1</td>\n      <td>48298</td>\n      <td>400082112</td>\n      <td>L</td>\n      <td>CC</td>\n      <td>76.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B</td>\n      <td>216</td>\n      <td>False</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"cell_type":"markdown","source":"We can see that labels are the cancer column which is a boolean indicating wheter the patient has a cancer.","metadata":{}},{"cell_type":"markdown","source":"Here, we will add the functions to get the dataset of features X and labels Y.\n\nWe will use the **\"Mirrored\"** strategy for tensorflow distribution.","metadata":{}},{"cell_type":"code","source":"# defining our strategy\nstrategy = tf.distribute.MirroredStrategy()\n\n# defining other constants\nIMG_SIZE = 56\nBATCH_SIZE = 128 * strategy.num_replicas_in_sync\nBASE_PATH = \"/kaggle/input/breast-images-png/\"\nAUTO = tf.data.AUTOTUNE\n\n\ndef load_dataset(df):\n    paths = (BASE_PATH + df.patient_id.astype(str) + '_' + df.image_id.astype(str) + '.png').values\n    labels = df['cancer'].values\n    def decode_img(paths, labels):\n        raw = tf.io.read_file(paths)\n        img = tf.io.decode_png(raw, channels=3)\n        img = tf.image.resize(img, (IMG_SIZE, IMG_SIZE))\n        img = tf.reshape(img, (IMG_SIZE, IMG_SIZE, 3))\n        return img, tf.cast(labels, tf.float32)\n    ds = tf.data.Dataset.from_tensor_slices((paths, labels))\n    ds = ds.map(decode_img, num_parallel_calls=AUTO).cache()\n    return ds\n\n\ndef get_dataset(df):\n    ds = load_dataset(df)\n    options = tf.data.Options()\n    options.experimental_distribute.auto_shard_policy = tf.data.experimental.AutoShardPolicy.DATA\n    ds = ds.with_options(options)\n    ds = ds.batch(BATCH_SIZE)\n    ds = ds.prefetch(AUTO)\n    return ds","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:46:39.348153Z","iopub.execute_input":"2023-04-05T20:46:39.349412Z","iopub.status.idle":"2023-04-05T20:46:43.907395Z","shell.execute_reply.started":"2023-04-05T20:46:39.349364Z","shell.execute_reply":"2023-04-05T20:46:43.906236Z"},"trusted":true},"execution_count":5,"outputs":[]},{"cell_type":"markdown","source":"Now, we can create our training dataset","metadata":{}},{"cell_type":"code","source":"train_ds = get_dataset(df)","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:46:43.908781Z","iopub.execute_input":"2023-04-05T20:46:43.909435Z","iopub.status.idle":"2023-04-05T20:46:44.271862Z","shell.execute_reply.started":"2023-04-05T20:46:43.909396Z","shell.execute_reply":"2023-04-05T20:46:44.270676Z"},"trusted":true},"execution_count":6,"outputs":[]},{"cell_type":"markdown","source":"## Build a simple CNN model\n\nWe will create a function to create a CNN model that take an image in input and output a boolean.\n\nThe model will use some MaxPooling to reduce the size of the neural network.","metadata":{}},{"cell_type":"code","source":"def build_model():\n    model = tf.keras.Sequential([\n        tf.keras.layers.Conv2D(32, [3, 3], activation='relu', input_shape=(IMG_SIZE, IMG_SIZE, 3)),\n        tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\n        tf.keras.layers.Conv2D(48, [3, 3], activation='relu'),\n        tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\n        tf.keras.layers.Conv2D(48, [3, 3], activation='relu'),\n        tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\n        tf.keras.layers.Conv2D(32, [3, 3], activation='relu'),\n        tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),\n        tf.keras.layers.Dropout(0.15),\n        tf.keras.layers.Flatten(),\n        tf.keras.layers.Dense(128, activation='relu'),\n        tf.keras.layers.Dropout(0.15),\n        tf.keras.layers.Dense(10, activation='softmax')\n    ])\n\n    model.compile(loss=tf.keras.losses.SparseCategoricalCrossentropy(),\n                optimizer=tf.keras.optimizers.Adam(),\n                metrics=['accuracy'])\n    \n    return model","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:46:44.273319Z","iopub.execute_input":"2023-04-05T20:46:44.273954Z","iopub.status.idle":"2023-04-05T20:46:44.289972Z","shell.execute_reply.started":"2023-04-05T20:46:44.273915Z","shell.execute_reply":"2023-04-05T20:46:44.288253Z"},"trusted":true},"execution_count":7,"outputs":[]},{"cell_type":"markdown","source":"Here, we define 2 models, one using multiple GPU's and another limited to only 1 GPU.\n\nThis will allow us to compare performance between the 2 approaches.","metadata":{}},{"cell_type":"code","source":"# buiding a model inside the strategy scope\nwith strategy.scope():\n    multi_gpu_model = build_model()\n    \nmulti_gpu_model.summary()\n\n# building a model outside the strategy scope\nregular_model = build_model()","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:46:44.293472Z","iopub.execute_input":"2023-04-05T20:46:44.2956Z","iopub.status.idle":"2023-04-05T20:46:44.897218Z","shell.execute_reply.started":"2023-04-05T20:46:44.295553Z","shell.execute_reply":"2023-04-05T20:46:44.896165Z"},"trusted":true},"execution_count":8,"outputs":[{"name":"stdout","text":"Model: \"sequential\"\n_________________________________________________________________\n Layer (type)                Output Shape              Param #   \n=================================================================\n conv2d (Conv2D)             (None, 54, 54, 32)        896       \n                                                                 \n max_pooling2d (MaxPooling2D  (None, 27, 27, 32)       0         \n )                                                               \n                                                                 \n conv2d_1 (Conv2D)           (None, 25, 25, 48)        13872     \n                                                                 \n max_pooling2d_1 (MaxPooling  (None, 12, 12, 48)       0         \n 2D)                                                             \n                                                                 \n conv2d_2 (Conv2D)           (None, 10, 10, 48)        20784     \n                                                                 \n max_pooling2d_2 (MaxPooling  (None, 5, 5, 48)         0         \n 2D)                                                             \n                                                                 \n conv2d_3 (Conv2D)           (None, 3, 3, 32)          13856     \n                                                                 \n max_pooling2d_3 (MaxPooling  (None, 1, 1, 32)         0         \n 2D)                                                             \n                                                                 \n dropout (Dropout)           (None, 1, 1, 32)          0         \n                                                                 \n flatten (Flatten)           (None, 32)                0         \n                                                                 \n dense (Dense)               (None, 128)               4224      \n                                                                 \n dropout_1 (Dropout)         (None, 128)               0         \n                                                                 \n dense_1 (Dense)             (None, 10)                1290      \n                                                                 \n=================================================================\nTotal params: 54,922\nTrainable params: 54,922\nNon-trainable params: 0\n_________________________________________________________________\n","output_type":"stream"}]},{"cell_type":"markdown","source":"## Train your model on few epochs with 1GPU and 2GPUs\n\n### Warmup\n\nWe added cache to the dataset, so after the first epoch, all next will take only few seconds.","metadata":{}},{"cell_type":"code","source":"EPOCHS = 3\n\nhistory = multi_gpu_model.fit(train_ds, epochs=EPOCHS)\n\n# Restore the model\nwith strategy.scope():\n    multi_gpu_model = build_model()","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:46:44.898932Z","iopub.execute_input":"2023-04-05T20:46:44.89938Z","iopub.status.idle":"2023-04-05T20:49:32.971297Z","shell.execute_reply.started":"2023-04-05T20:46:44.899336Z","shell.execute_reply":"2023-04-05T20:49:32.970017Z"},"trusted":true},"execution_count":9,"outputs":[{"name":"stdout","text":"Epoch 1/3\n","output_type":"stream"},{"name":"stderr","text":"2023-04-05 20:46:49.871593: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:954] layout failed: INVALID_ARGUMENT: Size of values 0 does not match size of permutation 4 @ fanin shape insequential/dropout/dropout/SelectV2-2-TransposeNHWCToNCHW-LayoutOptimizer\n","output_type":"stream"},{"name":"stdout","text":"214/214 [==============================] - 151s 626ms/step - loss: 0.1959 - accuracy: 0.9691\nEpoch 2/3\n214/214 [==============================] - 6s 28ms/step - loss: 0.1101 - accuracy: 0.9788\nEpoch 3/3\n214/214 [==============================] - 5s 24ms/step - loss: 0.1071 - accuracy: 0.9788\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### Let's start with 1 GPU","metadata":{}},{"cell_type":"code","source":"EPOCHS = 15\n\nstart_time_single = time.time()\nhistory_regular = regular_model.fit(train_ds, epochs=EPOCHS)\nfinal_time_single = time.time() - start_time_single","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:49:32.974697Z","iopub.execute_input":"2023-04-05T20:49:32.975006Z","iopub.status.idle":"2023-04-05T20:51:32.469973Z","shell.execute_reply.started":"2023-04-05T20:49:32.974977Z","shell.execute_reply":"2023-04-05T20:51:32.468903Z"},"trusted":true},"execution_count":10,"outputs":[{"name":"stdout","text":"Epoch 1/15\n","output_type":"stream"},{"name":"stderr","text":"2023-04-05 20:49:33.950925: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:954] layout failed: INVALID_ARGUMENT: Size of values 0 does not match size of permutation 4 @ fanin shape insequential_1/dropout_2/dropout/SelectV2-2-TransposeNHWCToNCHW-LayoutOptimizer\n","output_type":"stream"},{"name":"stdout","text":"214/214 [==============================] - 8s 28ms/step - loss: 0.2121 - accuracy: 0.9704\nEpoch 2/15\n214/214 [==============================] - 6s 27ms/step - loss: 0.1124 - accuracy: 0.9788\nEpoch 3/15\n214/214 [==============================] - 6s 27ms/step - loss: 0.1079 - accuracy: 0.9788\nEpoch 4/15\n214/214 [==============================] - 6s 27ms/step - loss: 0.1059 - accuracy: 0.9788\nEpoch 5/15\n214/214 [==============================] - 6s 27ms/step - loss: 0.1037 - accuracy: 0.9788\nEpoch 6/15\n214/214 [==============================] - 6s 27ms/step - loss: 0.1030 - accuracy: 0.9788\nEpoch 7/15\n214/214 [==============================] - 6s 27ms/step - loss: 0.1019 - accuracy: 0.9788\nEpoch 8/15\n214/214 [==============================] - 6s 27ms/step - loss: 0.1007 - accuracy: 0.9788\nEpoch 9/15\n214/214 [==============================] - 6s 26ms/step - loss: 0.1001 - accuracy: 0.9788\nEpoch 10/15\n214/214 [==============================] - 6s 26ms/step - loss: 0.0995 - accuracy: 0.9788\nEpoch 11/15\n214/214 [==============================] - 6s 27ms/step - loss: 0.0991 - accuracy: 0.9788\nEpoch 12/15\n214/214 [==============================] - 6s 27ms/step - loss: 0.0985 - accuracy: 0.9788\nEpoch 13/15\n214/214 [==============================] - 5s 25ms/step - loss: 0.0982 - accuracy: 0.9788\nEpoch 14/15\n214/214 [==============================] - 5s 25ms/step - loss: 0.0979 - accuracy: 0.9788\nEpoch 15/15\n214/214 [==============================] - 5s 25ms/step - loss: 0.0961 - accuracy: 0.9788\n","output_type":"stream"}]},{"cell_type":"markdown","source":"### And now on 2 GPU's","metadata":{}},{"cell_type":"code","source":"start_time_multi = time.time()\nhistory = multi_gpu_model.fit(train_ds, epochs=EPOCHS)\nfinal_time_multi = time.time() - start_time_multi","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:51:32.471339Z","iopub.execute_input":"2023-04-05T20:51:32.471734Z","iopub.status.idle":"2023-04-05T20:52:58.337225Z","shell.execute_reply.started":"2023-04-05T20:51:32.471693Z","shell.execute_reply":"2023-04-05T20:52:58.336202Z"},"trusted":true},"execution_count":11,"outputs":[{"name":"stdout","text":"Epoch 1/15\n","output_type":"stream"},{"name":"stderr","text":"2023-04-05 20:51:36.961265: E tensorflow/core/grappler/optimizers/meta_optimizer.cc:954] layout failed: INVALID_ARGUMENT: Size of values 0 does not match size of permutation 4 @ fanin shape insequential_2/dropout_4/dropout/SelectV2-2-TransposeNHWCToNCHW-LayoutOptimizer\n","output_type":"stream"},{"name":"stdout","text":"214/214 [==============================] - 11s 24ms/step - loss: 0.4324 - accuracy: 0.9634\nEpoch 2/15\n214/214 [==============================] - 5s 24ms/step - loss: 0.1139 - accuracy: 0.9788\nEpoch 3/15\n214/214 [==============================] - 5s 24ms/step - loss: 0.1093 - accuracy: 0.9788\nEpoch 4/15\n214/214 [==============================] - 5s 25ms/step - loss: 0.1072 - accuracy: 0.9788\nEpoch 5/15\n214/214 [==============================] - 5s 24ms/step - loss: 0.1048 - accuracy: 0.9788\nEpoch 6/15\n214/214 [==============================] - 5s 23ms/step - loss: 0.1043 - accuracy: 0.9788\nEpoch 7/15\n214/214 [==============================] - 5s 24ms/step - loss: 0.1027 - accuracy: 0.9788\nEpoch 8/15\n214/214 [==============================] - 5s 24ms/step - loss: 0.1016 - accuracy: 0.9788\nEpoch 9/15\n214/214 [==============================] - 5s 25ms/step - loss: 0.1011 - accuracy: 0.9788\nEpoch 10/15\n214/214 [==============================] - 5s 25ms/step - loss: 0.1006 - accuracy: 0.9788\nEpoch 11/15\n214/214 [==============================] - 5s 24ms/step - loss: 0.1003 - accuracy: 0.9788\nEpoch 12/15\n214/214 [==============================] - 5s 24ms/step - loss: 0.0991 - accuracy: 0.9788\nEpoch 13/15\n214/214 [==============================] - 5s 24ms/step - loss: 0.0986 - accuracy: 0.9788\nEpoch 14/15\n214/214 [==============================] - 5s 24ms/step - loss: 0.0978 - accuracy: 0.9788\nEpoch 15/15\n214/214 [==============================] - 5s 24ms/step - loss: 0.0974 - accuracy: 0.9788\n","output_type":"stream"}]},{"cell_type":"markdown","source":"## Compare accuracy and execution time ","metadata":{}},{"cell_type":"code","source":"fig, axs = plt.subplots(1, 2,figsize=(18,8))\naxs[0].plot(history.history['accuracy'],label = '2 GPUs')\naxs[0].plot(history_regular.history['accuracy'],label = '1 GPU')\naxs[0].set_title('model accuracy')\naxs[0].set_ylabel('accuracy')\naxs[0].set_xlabel('epoch')\n\n\naxs[1].plot(history.history['loss'],label = '2 GPUs')\naxs[1].plot(history_regular.history['loss'],label = '1 GPU')\naxs[1].set_title('model loss')\naxs[1].set_ylabel('loss')\naxs[1].set_xlabel('epoch')\n\nplt.legend()\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:52:58.340711Z","iopub.execute_input":"2023-04-05T20:52:58.341002Z","iopub.status.idle":"2023-04-05T20:52:58.837183Z","shell.execute_reply.started":"2023-04-05T20:52:58.340975Z","shell.execute_reply":"2023-04-05T20:52:58.836171Z"},"trusted":true},"execution_count":12,"outputs":[{"output_type":"display_data","data":{"text/plain":"<Figure size 1800x800 with 2 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down","source":"### Computing power comparison","metadata":{}},{"cell_type":"code","source":"plt.figure(figsize=(18,8))\nnb_images = len(df)\nplt.plot(['1GPU','2 GPUS'],[nb_images/(final_time_single/EPOCHS),nb_images/(final_time_multi/EPOCHS)],label = 'real scaling')\nplt.plot(['1GPU','2 GPUS'],[nb_images/(final_time_single/EPOCHS),2*nb_images/(final_time_single/EPOCHS)],label = 'theoritical scaling')\nplt.title('Nb of images processed per EPOCH')\nplt.ylabel('Nb of images processed per epoch')\nplt.xlabel('nb of GPUs')\nplt.legend()\nprint(\"We achieve %s percent of scaling\"% round((final_time_single/(2*final_time_multi))*100,2))","metadata":{"execution":{"iopub.status.busy":"2023-04-05T20:53:27.521759Z","iopub.execute_input":"2023-04-05T20:53:27.522534Z","iopub.status.idle":"2023-04-05T20:53:27.832248Z","shell.execute_reply.started":"2023-04-05T20:53:27.522493Z","shell.execute_reply":"2023-04-05T20:53:27.831156Z"},"trusted":true},"execution_count":14,"outputs":[{"name":"stdout","text":"We achieve 69.58 percent of scaling\n","output_type":"stream"},{"output_type":"display_data","data":{"text/plain":"<Figure size 1800x800 with 1 Axes>","image/png":"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we can see, the usage of 2 GPU's gave a time acceleration of approximately 130%.\nIt is not as efficient as expected (200%) but it's is still a significant boost.","metadata":{}},{"cell_type":"markdown","source":"# Conclusion\n\nThis practical work give's us an overview of the possible time upgrades offered by multi-gpu's optimization.\nIn Kaggle, the resource distribution is a little bit mysterious, and my model is probably not completly optimized.\nAll this together, it can explained the obtained results that are lower than the theoretical x2 speed up.","metadata":{}}]}