.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/4_GPU/plot_gpu_widgets.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        You can download :ref:`below <sphx_glr_download_auto_examples_4_GPU_plot_gpu_widgets.py>`
        the full example code and run it with 🔬 `Radis-Lab <https://radis.github.io/radis-lab/>`__,

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_4_GPU_plot_gpu_widgets.py:


.. _example_real_time_gpu_spectra:

===============================================
Real-time GPU Accelerated Spectra (Interactive)
===============================================

Example using GPU sliders and GPU calculation with :py:meth:`~radis.lbl.SpectrumFactory.eq_spectrum_gpu_intereactive`

This method requires a GPU - Currently, only Nvidia GPU's are supported.
For more information on how to setup your system to run GPU-accelerated methods
using CUDA, check :ref:`GPU Spectrum Calculation on RADIS <label_radis_gpu>`

.. note::

    In some cases matplotlib immediately closes the window and returns; this is solved
    by running python in interactive mode as follows: ``python -i plot_gpu_widgets.py``.

    in the example below, the code runs on the GPU by default. In case no Nvidia GPU is
    detected, the code will instead be ran on CPU. This can be toggled manually by setting
    the ``backend`` keyword either to ``'gpu-cuda'`` or ``'cpu-cuda'``.
    The run time reported below is for CPU.

.. GENERATED FROM PYTHON SOURCE LINES 26-49



.. image-sg:: /auto_examples/4_GPU/images/sphx_glr_plot_gpu_widgets_001.png
   :alt: plot gpu widgets
   :srcset: /auto_examples/4_GPU/images/sphx_glr_plot_gpu_widgets_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/db/molparam.py:252: FutureWarning:

    The 'delim_whitespace' keyword in pd.read_csv is deprecated and will be removed in a future version. Use ``sep='\s+'`` instead

    In ``/home/docs/.radisdb/hitemp`` keep only relevant input files:
    /home/docs/.radisdb/hitemp/CO2-02_02125-02250_HITEMP2010.hdf5
    /home/docs/.radisdb/hitemp/CO2-02_02250-02500_HITEMP2010.hdf5
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/lbl/factory.py:1107: FutureWarning:

    Calling float on a single element Series is deprecated and will raise a TypeError in the future. Use float(ser.iloc[0]) instead

    Can't find libcuda.so.1...
    /home/docs/checkouts/readthedocs.org/user_builds/radis/checkouts/latest/radis/gpu/gpu.py:112: NoGPUWarning:

    Failed to load CUDA context, this happened either becauseCUDA is not installed properly, or you have no NVIDIA GPU. Continuing with emulated GPU on CPU...This means *NO* GPU acceleration!

    Number of lines loaded: 1128265

    mode: CPU
    Finished calculating spectrum!
    0.52s - Spectrum calculated






|

.. code-block:: Python


    from radis import SpectrumFactory
    from radis.tools.plot_tools import ParamRange

    sf = SpectrumFactory(
        2150,
        2450,  # cm-1
        molecule="CO2",
        isotope="1,2,3",
        wstep=0.002,
    )

    sf.fetch_databank("hitemp")

    s = sf.eq_spectrum_gpu_interactive(
        var="radiance",
        Tgas=ParamRange(300.0, 2500.0, 1500.0),  # K
        pressure=ParamRange(0.1, 2, 1),  # bar
        mole_fraction=ParamRange(0, 1, 0.8),
        path_length=ParamRange(0, 1, 0.2),  # cm
        slit_function=ParamRange(0, 1.5, 0.5),  # cm-1
        plotkwargs={"wunit": "nm"},  # "nfig": "same",
    )


.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 2.319 seconds)


.. _sphx_glr_download_auto_examples_4_GPU_plot_gpu_widgets.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_gpu_widgets.ipynb <plot_gpu_widgets.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_gpu_widgets.py <plot_gpu_widgets.py>`