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‎docs/normalization/deep_norm/experiment.html

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‎docs/normalization/deep_norm/index.html

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‎docs/sitemap.xml

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<url>
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<loc>https://nn.labml.ai/experiments/nlp_autoregression.html</loc>
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<lastmod>2022-03-12T16:30:00+00:00</lastmod>
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<lastmod>2022-05-03T16:30:00+00:00</lastmod>
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<priority>1.00</priority>
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</url>
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<url>
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<loc>https://nn.labml.ai/experiments/nlp_classification.html</loc>
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<lastmod>2021-10-29T16:30:00+00:00</lastmod>
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<lastmod>2022-05-03T16:30:00+00:00</lastmod>
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<priority>1.00</priority>
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</url>
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<url>
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<loc>https://nn.labml.ai/index.html</loc>
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<lastmod>2022-04-10T16:30:00+00:00</lastmod>
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<lastmod>2022-05-03T16:30:00+00:00</lastmod>
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<priority>1.00</priority>
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</url>
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‎labml_nn/normalization/deep_norm/__init__.py

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[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/normalization/deep_norm/experiment.ipynb)
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[![View Run](https://img.shields.io/badge/labml-experiment-brightgreen)](https://app.labml.ai/run/ec8e4dacb7f311ec8d1cd37d50b05c3d)
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[![Open In Comet](https://images.labml.ai/images/comet.svg?experiment=deep_norm&file=model)](https://www.comet.ml/labml/deep-norm/61d817f80ff143c8825fba4aacd431d4?experiment-tab=chart&showOutliers=true&smoothing=0&transformY=smoothing&xAxis=step)
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"""
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from typing import Union, List

‎labml_nn/normalization/deep_norm/experiment.ipynb

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{
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"cell_type": "markdown",
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"metadata": {
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"id": "AYV_dMVDxyc2"
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"id": "AYV_dMVDxyc2",
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"pycharm": {
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"name": "#%% md\n"
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}
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},
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"source": [
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"[![Github](https://img.shields.io/github/stars/labmlai/annotated_deep_learning_paper_implementations?style=social)](https://github.com/labmlai/annotated_deep_learning_paper_implementations)\n",
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"[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/normalization/deep_norm/experiment.ipynb)\n",
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"[![View Run](https://img.shields.io/badge/labml-experiment-brightgreen)](https://app.labml.ai/run/ec8e4dacb7f311ec8d1cd37d50b05c3d)\n",
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"[![Open In Comet](https://images.labml.ai/images/comet.svg?experiment=deep_norm&file=colab)](https://www.comet.ml/labml/deep-norm/61d817f80ff143c8825fba4aacd431d4?experiment-tab=chart&showOutliers=true&smoothing=0&transformY=smoothing&xAxis=step)\n",
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"\n",
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"## DeepNorm\n",
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"\n",
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "AahG_i2y5tY9"
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"id": "AahG_i2y5tY9",
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"pycharm": {
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"name": "#%% md\n"
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}
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},
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"source": [
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"### Install the packages"
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"base_uri": "https://localhost:8080/"
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},
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"id": "ZCzmCrAIVg0L",
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"outputId": "cf107fb2-4d50-4c67-af34-367624553421"
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"outputId": "cf107fb2-4d50-4c67-af34-367624553421",
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"pycharm": {
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"name": "#%% md\n"
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}
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},
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"source": [
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"### Enable [Comet](https://www.comet.ml)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"metadata": {
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"pycharm": {
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"name": "#%%\n"
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}
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},
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"outputs": [],
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"source": [
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"#@markdown Select in order to enable logging this experiment to [Comet](https://www.comet.ml).\n",
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "SE2VUQ6L5zxI",
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"pycharm": {
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"name": "#%% md\n"
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}
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"source": [
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"### Imports"
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"execution_count": null,
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"metadata": {
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"name": "#%%\n"
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}
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"outputs": [],
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "bFcr9k-l4cAg",
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"pycharm": {
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"name": "#%%\n"
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}
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"outputs": [],
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{
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"cell_type": "markdown",
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"metadata": {
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"pycharm": {
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"name": "#%% md\n"
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}
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"source": [
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"### Configurations"
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"execution_count": null,
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"metadata": {
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"id": "Piz0c5f44hRo",
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"pycharm": {
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"name": "#%%\n"
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}
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"outputs": [],
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{
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"cell_type": "markdown",
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"metadata": {
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"pycharm": {
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"name": "#%% md\n"
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}
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"source": [
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"Set experiment configurations and assign a configurations dictionary to override configurations"
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"height": 17
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},
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"id": "e6hmQhTw4nks",
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"outputId": "29634715-42f4-4405-fb11-fc9522608627"
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"outputId": "29634715-42f4-4405-fb11-fc9522608627",
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"name": "#%%\n"
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}
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"cell_type": "markdown",
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"pycharm": {
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"name": "#%% md\n"
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}
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"Set PyTorch models for loading and saving"
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"height": 255
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"id": "GDlt7dp-5ALt",
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"outputId": "e7548e8f-c541-4618-dc5a-1597cae42003",
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"pycharm": {
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}
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{
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"cell_type": "markdown",
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"metadata": {
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"pycharm": {
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}
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"### Start the experiment and run the training loop."
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"height": 1000
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"id": "aIAWo7Fw5DR8",
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"outputId": "db979785-bfe3-4eda-d3eb-8ccbe61053e5",
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"pycharm": {
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}
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"outputs": [],
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"nbformat": 4,
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"nbformat_minor": 4
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}
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}

‎labml_nn/normalization/deep_norm/experiment.py

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[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/labmlai/annotated_deep_learning_paper_implementations/blob/master/labml_nn/normalization/deep_norm/experiment.ipynb)
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[![View Run](https://img.shields.io/badge/labml-experiment-brightgreen)](https://app.labml.ai/run/ec8e4dacb7f311ec8d1cd37d50b05c3d)
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[![Open In Comet](https://images.labml.ai/images/comet.svg?experiment=deep_norm&file=experiment)](https://www.comet.ml/labml/deep-norm/61d817f80ff143c8825fba4aacd431d4?experiment-tab=chart&showOutliers=true&smoothing=0&transformY=smoothing&xAxis=step)
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"""
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import copy

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