{"cells":[{"metadata":{},"cell_type":"markdown","source":"This notebook is an explanation of gradients accumulation by custom loop training for TensorFlow 2.0.\nMain part is Training term.\nPlease have a comment if you know better way.\n\nThis example uses CIFAR10 dataset. You can use this in NLP model like Transformer, BERT, etc."},{"metadata":{},"cell_type":"markdown","source":"![gradient_accumulation.png](attachment:gradient_accumulation.png)","attachments":{"gradient_accumulation.png":{"image/png":"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"}}},{"metadata":{"trusted":true},"cell_type":"code","source":"# basic\nimport os\nimport sys\nimport datetime\nfrom pathlib import Path\nimport json\nfrom typing import List, Optional, Dict, Generator, NamedTuple, Any, Tuple, Union, Mapping\nfrom enum import Enum\nimport re\n\n# data\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\nimport seaborn as sns\nfrom fastprogress import master_bar, progress_bar\n\n# ml\nimport tensorflow as tf","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"!pip install tensorflow_datasets","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"tf.__version__","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"devices = tf.config.experimental.list_physical_devices('GPU')\nprint(devices)\nfor d in devices:\n    tf.config.experimental.set_memory_growth(d, True)","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Config"},{"metadata":{"trusted":true},"cell_type":"code","source":"class Config:\n    model_name = 'resnet50_ga_64'\n    num_epochs = 1  # for commit, original = 20\n    batch_size = 32\n    learning_rate = 1e-2\n    num_grad_accumulates = 2\n    image_size = 32\n    step_summary_output = 10\n\nconfig = Config()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Dataloader"},{"metadata":{"trusted":true},"cell_type":"code","source":"def transform(x, y):\n    return tf.cast(x, tf.float32) / 255.0, y","execution_count":null,"outputs":[]},{"metadata":{"scrolled":true,"trusted":true},"cell_type":"code","source":"import tensorflow_datasets as tfds\ndataset, info = tfds.load(name='cifar10', split=tfds.Split.TRAIN, with_info=True, as_supervised=True)\ndataset = dataset.map(transform)\ndataset = dataset.shuffle(1024).batch(config.batch_size).prefetch(tf.data.experimental.AUTOTUNE)\ninfo","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Model"},{"metadata":{"trusted":true},"cell_type":"code","source":"from tensorflow.keras.applications import ResNet50","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"class Model(tf.keras.Model):\n    def __init__(self, num_outputs: int) -> None:\n        super().__init__()\n        self.num_outputs = num_outputs\n        \n    def build(self, input_shape) -> None:\n        self.core = ResNet50(\n            include_top=False,\n            weights='imagenet',\n            input_tensor=None,\n            input_shape=None,\n            pooling='max',\n            classes=10,\n        )\n        self.output_layer = tf.keras.layers.Dense(self.num_outputs)\n        super().build(input_shape)\n    \n    def call(self, x: tf.Tensor, training: bool = False) -> tf.Tensor:\n        y = self.core(x)\n        y = self.output_layer(y)\n        return y","execution_count":null,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"model = Model(num_outputs=10)\n# build\ninput_shape = (config.image_size, config.image_size, 3)\ninput = tf.keras.layers.Input(shape=input_shape, name='input_layer', dtype=tf.float32)\n_ = model(input)\nmodel.summary()","execution_count":null,"outputs":[]},{"metadata":{},"cell_type":"markdown","source":"# Training"},{"metadata":{},"cell_type":"markdown","source":"The `accumulated_gradients` method is the one that average gradients in some batches.\n\nIn the case of NLP model, we use tf.gather method in the embedding layer.\nBecause gradient of operation tf.gather turn to type tf.IndexSlices, we have to convert it to tf.Tensor in order to get average gradients.\n`flat_gradient` is the method to convert."},{"metadata":{"trusted":false},"cell_type":"code","source":"def accumulated_gradients(gradients: Optional[List[tf.Tensor]],\n                          step_gradients: List[Union[tf.Tensor, tf.IndexedSlices]],\n                          num_grad_accumulates: int) -> tf.Tensor:\n    if gradients is None:\n        gradients = [flat_gradients(g) / num_grad_accumulates for g in step_gradients]\n    else:\n        for i, g in enumerate(step_gradients):\n            gradients[i] += flat_gradients(g) / num_grad_accumulates\n        \n    return gradients\n\n# This is needed for tf.gather like operations.\ndef flat_gradients(grads_or_idx_slices: tf.Tensor) -> tf.Tensor:\n    '''Convert gradients if it's tf.IndexedSlices.\n    When computing gradients for operation concerning `tf.gather`, the type of gradients \n    '''\n    if type(grads_or_idx_slices) == tf.IndexedSlices:\n        return tf.scatter_nd(\n            tf.expand_dims(grads_or_idx_slices.indices, 1),\n            grads_or_idx_slices.values,\n            grads_or_idx_slices.dense_shape\n        )\n    return grads_or_idx_slices","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"loss_fn = tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True,\n                                                        reduction=tf.keras.losses.Reduction.NONE)\noptimizer = tf.keras.optimizers.Adam(config.learning_rate)\ntrain_loss = tf.keras.metrics.Mean('loss/train', dtype=tf.float32)\ntrain_accuracy = tf.keras.metrics.SparseCategoricalAccuracy('accuracy/train')\nmetrics = [train_loss, train_accuracy]\n\ncurrent_time = datetime.datetime.now().strftime(\"%Y%m%d-%H%M%S\")\ntrain_log_dir = f'logs/{config.model_name}/{current_time}'\ntrain_summary_writer = tf.summary.create_file_writer(train_log_dir)\n\n\ndef train(config: Config,\n          dataset: tf.data.Dataset,\n          model: Model):\n    global_step = 0\n    for e in range(config.num_epochs):\n        global_step = train_epoch(config, dataset, model, global_step)\n        print(f'{e+1} epoch finished. step: {global_step}')\n\n\ndef train_epoch(config: Config,\n                dataset: tf.data.Dataset,\n                model: Model,\n                start_step: int = 0) -> tf.Tensor:\n    '''Train 1 epoch\n    '''\n    gradients = None\n    global_step = start_step\n    for i, batch in enumerate(dataset):\n        dummy_step = i + start_step * config.num_grad_accumulates\n        x_train, y_train = batch\n        step_gradients = train_step(x_train, y_train, loss_fn, optimizer)\n        gradients = accumulated_gradients(gradients, step_gradients, config.num_grad_accumulates)\n        if (dummy_step + 1) % config.num_grad_accumulates == 0:\n            gradient_zip = zip(gradients, model.trainable_variables)\n            optimizer.apply_gradients(gradient_zip)\n            gradients = None\n            if (global_step + 1) % config.step_summary_output == 0:\n                write_train_summary(train_summary_writer, metrics, step=global_step + 1)\n            global_step += 1\n\n    return global_step\n\n\n@tf.function\ndef train_step(x_train: tf.Tensor,\n               y_train: tf.Tensor,\n               loss_fn: tf.keras.losses.Loss,\n               optimizer: tf.keras.optimizers.Optimizer):\n    '''Train 1 step and return gradients\n    '''\n    with tf.GradientTape() as tape:\n        outputs = model(x_train, training=True)\n        loss = tf.reduce_mean(loss_fn(y_train, outputs))\n    train_loss(loss)\n    train_accuracy(y_train, tf.nn.softmax(outputs))\n    gradients = tape.gradient(loss, model.trainable_variables)\n    return gradients\n\n\ndef write_train_summary(writer: tf.summary.SummaryWriter,\n                        metrics: List[tf.keras.metrics.Metric],\n                        step: int) -> None:\n    with writer.as_default():\n        for metric in metrics:\n            tf.summary.scalar(metric.name, metric.result(), step=step)\n            metric.reset_states()\n            ","execution_count":null,"outputs":[]},{"metadata":{"trusted":false},"cell_type":"code","source":"%%time\ntrain(config, dataset, model)","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.6.5"}},"nbformat":4,"nbformat_minor":1}