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‎pull/2329/.buildinfo‎

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# Sphinx build info version 1
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# This file records the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: c323184f89091cd124c06c04d90a437f
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‎pull/2329/_modules/index.html‎

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<!DOCTYPE html>
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<html class="writer-html5" lang="en" data-content_root="../">
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>Overview: module code &mdash; Data Parallel Extension for NumPy 0.17.0dev7+6.g2f5f2979c74 documentation</title>
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Data Parallel Extension for NumPy
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<p class="caption" role="heading"><span class="caption-text">Development information</span></p>
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<li class="toctree-l1"><a class="reference internal" href="../dpnp_backend_api.html">C++ backend API Reference</a></li>
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<h1>All modules for which code is available</h1>
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<ul><li><a href="dpnp/dpnp_array.html">dpnp.dpnp_array</a></li>
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<li><a href="dpnp/fft/dpnp_iface_fft.html">dpnp.fft.dpnp_iface_fft</a></li>
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‎pull/2329/_sources/dpctl.rst.txt‎

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.. _dptcl:
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.. include:: ./ext_links.txt
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Interplay with the Data Parallel Control Library
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================================================
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`Data Parallel Control Library`_ provides API to manage specific
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`SYCL*`_ resources for SYCL-based Python packages.
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An example below demonstrates how the Data Parallel Extension for NumPy* can be
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easily combined with the device management interface provided by dpctl package.
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.. code-block:: python
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:linenos:
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import dpctl
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import dpnp
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d = dpctl.select_cpu_device()
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x = dpnp.array([1, 2, 3], device=d)
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s = dpnp.sum(x)
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y = dpnp.linspace(0, dpnp.pi, num=10**6, device="gpu")
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f = 1 + y * dpnp.sin(y)
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# locate argument where function attains global maximum
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max_arg = x[dpnp.argmax(f)]
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max_val = dpnp.max(f)
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For more information please refer to `Data Parallel Control Library`_
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documentation.
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Example
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-------
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.. literalinclude:: ../examples/example10.py
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:linenos:
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:language: python
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‎pull/2329/_sources/dpnp_backend_api.rst.txt‎

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.. _dpnp_backend_reference:
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*************************
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C++ backend API Reference
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*************************
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`C++ backend of Data Parallel Extension for NumPy* <backend_doc/>`_

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