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74 changes: 74 additions & 0 deletions docs/_sources/api.rst.txt
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.. _api:

CodeCarbon API
==============


CodeCarbon API
~~~~~~~~~~~~~~~~~~~~~~~~

.. warning::
This mode use the CodeCarbon API to upload the timeseries of your emissions on a central server. All data will be public!

Before using it, you need an experiment_id, to get one, run:

.. code-block:: console
codecarbon init
It will create a experiment_id on the default project and save it to ``codecarbon.config``

Then you could tell CodeCarbon to monitor your machine :

.. code-block:: console
codecarbon monitor
Or use the API in your code

.. code-block:: python
from codecarbon import track_emissions
@track_emissions(save_to_api=True)
def train_model():
# GPU intensive training code goes here
if __name__ =="__main__":
train_model()
More options could be specified in ``@track_emissions`` or in ``.codecarbon.config``

The `CodeCarbon dasboard <https://dashboard.codecarbon.io/>`_ use `CodeCarbon API <https://api.codecarbon.io/>`_ to get the data

The API do not have a nice web interface to create your own organization and project, you have to use `OpenAPI interface <https://api.codecarbon.io/docs>`_ for that.

And so on for your team, project and experiment.

You then have to set you experiment id in CodeCarbon, with two options:

In the code:

.. code-block:: python
from codecarbon import track_emissions
@track_emissions(
measure_power_secs=30,
api_call_interval=4,
experiment_id="your experiment id",
save_to_api=True,
)
def train_model():
Or in the config file `.codecarbon.config`:

.. code-block:: ini
[codecarbon]
experiment_id = your experiment id
save_to_api = true
But I see that you already did all that and have emissions data in the database, so we have to investigate for a bug in the interface.

Thanks for taking time to report this.

1 change: 1 addition & 0 deletions docs/_sources/index.rst.txt
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installation
usage
api
parameters
examples
comet
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34 changes: 0 additions & 34 deletions docs/_sources/usage.rst.txt
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Expand Up @@ -97,40 +97,6 @@ This mode is recommended if you have a training function.
.. note::
This will write a csv file named emissions.csv in the current directory

CodeCarbon API
~~~~~~~~~~~~~~~~~~~~~~~~

.. warning::
This mode use the CodeCarbon API to upload the timeseries of your emissions on a central server. All data will be public!

Before using it, you need an experiment_id, to get one, run:

.. code-block:: console
codecarbon init
It will create a experiment_id on the default project and save it to ``codecarbon.config``

Then you could tell CodeCarbon to monitor your machine :

.. code-block:: console
codecarbon monitor
Or use the API in your code

.. code-block:: python
from codecarbon import track_emissions
@track_emissions(save_to_api=True)
def train_model():
# GPU intensive training code goes here
if __name__ =="__main__":
train_model()
More options could be specified in ``@track_emissions`` or in ``.codecarbon.config``

Offline Mode
------------
An offline version is available to support restricted environments without internet access. The internal computations remain unchanged; however,
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177 changes: 177 additions & 0 deletions docs/api.html
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<section id="codecarbon-api">
<span id="api"></span><h1>CodeCarbon API<a class="headerlink" href="#codecarbon-api" title="Permalink to this heading"></a></h1>
<section id="id1">
<h2>CodeCarbon API<a class="headerlink" href="#id1" title="Permalink to this heading"></a></h2>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>This mode use the CodeCarbon API to upload the timeseries of your emissions on a central server. All data will be public!</p>
</div>
<p>Before using it, you need an experiment_id, to get one, run:</p>
<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">codecarbon init</span>
</pre></div>
</div>
<p>It will create a experiment_id on the default project and save it to <code class="docutils literal notranslate"><span class="pre">codecarbon.config</span></code></p>
<p>Then you could tell CodeCarbon to monitor your machine :</p>
<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="go">codecarbon monitor</span>
</pre></div>
</div>
<p>Or use the API in your code</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">codecarbon</span> <span class="kn">import</span> <span class="n">track_emissions</span>

<span class="nd">@track_emissions</span><span class="p">(</span><span class="n">save_to_api</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">train_model</span><span class="p">():</span>
<span class="c1"># GPU intensive training code goes here</span>
<span class="k">if</span> <span class="vm">__name__</span> <span class="o">==</span><span class="s2">&quot;__main__&quot;</span><span class="p">:</span>
<span class="n">train_model</span><span class="p">()</span>
</pre></div>
</div>
<p>More options could be specified in <code class="docutils literal notranslate"><span class="pre">&#64;track_emissions</span></code> or in <code class="docutils literal notranslate"><span class="pre">.codecarbon.config</span></code></p>
<p>The <a class="reference external" href="https://dashboard.codecarbon.io/">CodeCarbon dasboard</a> use <a class="reference external" href="https://api.codecarbon.io/">CodeCarbon API</a> to get the data</p>
<p>The API do not have a nice web interface to create your own organization and project, you have to use <a class="reference external" href="https://api.codecarbon.io/docs">OpenAPI interface</a> for that.</p>
<p>And so on for your team, project and experiment.</p>
<p>You then have to set you experiment id in CodeCarbon, with two options:</p>
<p>In the code:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">from</span> <span class="nn">codecarbon</span> <span class="kn">import</span> <span class="n">track_emissions</span>
<span class="nd">@track_emissions</span><span class="p">(</span>
<span class="n">measure_power_secs</span><span class="o">=</span><span class="mi">30</span><span class="p">,</span>
<span class="n">api_call_interval</span><span class="o">=</span><span class="mi">4</span><span class="p">,</span>
<span class="n">experiment_id</span><span class="o">=</span><span class="s2">&quot;your experiment id&quot;</span><span class="p">,</span>
<span class="n">save_to_api</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span>
<span class="p">)</span>
<span class="k">def</span> <span class="nf">train_model</span><span class="p">():</span>
</pre></div>
</div>
<p>Or in the config file <cite>.codecarbon.config</cite>:</p>
<div class="highlight-ini notranslate"><div class="highlight"><pre><span></span><span class="k">[codecarbon]</span><span class="w"></span>
<span class="na">experiment_id</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">your experiment id</span><span class="w"></span>
<span class="na">save_to_api</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="s">true</span><span class="w"></span>
</pre></div>
</div>
<p>But I see that you already did all that and have emissions data in the database, so we have to investigate for a bug in the interface.</p>
<p>Thanks for taking time to report this.</p>
</section>
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1 change: 1 addition & 0 deletions docs/comet.html
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<li class="toctree-l1"><a class="reference internal" href="installation.html">Installing CodeCarbon</a></li>
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74 changes: 74 additions & 0 deletions docs/edit/api.rst
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.. _api:

CodeCarbon API
==============


CodeCarbon API
~~~~~~~~~~~~~~~~~~~~~~~~

.. warning::
This mode use the CodeCarbon API to upload the timeseries of your emissions on a central server. All data will be public!

Before using it, you need an experiment_id, to get one, run:

.. code-block:: console
codecarbon init
It will create a experiment_id on the default project and save it to ``codecarbon.config``

Then you could tell CodeCarbon to monitor your machine :

.. code-block:: console
codecarbon monitor
Or use the API in your code

.. code-block:: python
from codecarbon import track_emissions
@track_emissions(save_to_api=True)
def train_model():
# GPU intensive training code goes here
if __name__ =="__main__":
train_model()
More options could be specified in ``@track_emissions`` or in ``.codecarbon.config``

The `CodeCarbon dasboard <https://dashboard.codecarbon.io/>`_ use `CodeCarbon API <https://api.codecarbon.io/>`_ to get the data

The API do not have a nice web interface to create your own organization and project, you have to use `OpenAPI interface <https://api.codecarbon.io/docs>`_ for that.

And so on for your team, project and experiment.

You then have to set you experiment id in CodeCarbon, with two options:

In the code:

.. code-block:: python
from codecarbon import track_emissions
@track_emissions(
measure_power_secs=30,
api_call_interval=4,
experiment_id="your experiment id",
save_to_api=True,
)
def train_model():
Or in the config file `.codecarbon.config`:

.. code-block:: ini
[codecarbon]
experiment_id = your experiment id
save_to_api = true
But I see that you already did all that and have emissions data in the database, so we have to investigate for a bug in the interface.

Thanks for taking time to report this.

1 change: 1 addition & 0 deletions docs/edit/index.rst
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Expand Up @@ -25,6 +25,7 @@ CodeCarbon

installation
usage
api
parameters
examples
comet
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