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<div class="container content main-content">

<h1>All modules for which code is available</h1>
<ul><li><a href="neuralop/data/datasets/darcy.html">neuralop.data.datasets.darcy</a></li>
<ul><li><a href="neuralop/data/datasets/car_cfd_dataset.html">neuralop.data.datasets.car_cfd_dataset</a></li>
<li><a href="neuralop/data/datasets/darcy.html">neuralop.data.datasets.darcy</a></li>
<li><a href="neuralop/data/datasets/navier_stokes.html">neuralop.data.datasets.navier_stokes</a></li>
<li><a href="neuralop/data/transforms/data_processors.html">neuralop.data.transforms.data_processors</a></li>
<li><a href="neuralop/layers/embeddings.html">neuralop.layers.embeddings</a></li>
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<h1>Source code for neuralop.data.datasets.car_cfd_dataset</h1><div class="highlight"><pre>
<span></span><span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">List</span><span class="p">,</span> <span class="n">Union</span>
<span class="kn">from</span> <span class="nn">pathlib</span> <span class="kn">import</span> <span class="n">Path</span>

<span class="kn">from</span> <span class="nn">.mesh_datamodule</span> <span class="kn">import</span> <span class="n">MeshDataModule</span>
<span class="kn">from</span> <span class="nn">.web_utils</span> <span class="kn">import</span> <span class="n">download_from_zenodo_record</span>

<div class="viewcode-block" id="CarCFDDataset">
<a class="viewcode-back" href="../../../../modules/generated/neuralop.data.datasets.car_cfd_dataset.CarCFDDataset.html#neuralop.data.datasets.car_cfd_dataset.CarCFDDataset">[docs]</a>
<span class="k">class</span> <span class="nc">CarCFDDataset</span><span class="p">(</span><span class="n">MeshDataModule</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;CarCFDDataset is a processed version of the dataset introduced in</span>
<span class="sd"> [1]_, which encodes a triangular mesh over the surface of a 3D model car</span>
<span class="sd"> and provides the air pressure at each centroid and vertex of the mesh when</span>
<span class="sd"> the car is placed in a simulated wind tunnel with a recorded inlet velocity.</span>
<span class="sd"> In our case, inputs are a signed distance function evaluated over a regular</span>
<span class="sd"> 3D grid of query points, as well as the inlet velocity. Outputs are pressure </span>
<span class="sd"> values at each centroid of the triangle mesh.</span>
<span class="sd"> </span>
<span class="sd"> .. warning:: </span>

<span class="sd"> ``CarCFDDataset`` inherits from ``MeshDataModule``, which requires the optional ``open3d`` dependency.</span>
<span class="sd"> See :ref:`open3d_dependency` for more information. </span>

<span class="sd"> We also add additional manifest files to split the provided examples</span>
<span class="sd"> into training and testing sets, as well as remove instances that are corrupted.</span>

<span class="sd"> Data is also stored on Zenodo: https://zenodo.org/records/13936501</span>

<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> root_dir : Union[str, Path]</span>
<span class="sd"> root directory at which data is stored.</span>
<span class="sd"> n_train : int, optional</span>
<span class="sd"> Number of training instances to load, by default 1</span>
<span class="sd"> n_test : int, optional</span>
<span class="sd"> Number of testing instances to load, by default 1</span>
<span class="sd"> query_res : List[int], optional</span>
<span class="sd"> Dimension-wise resolution of signed distance function </span>
<span class="sd"> (SDF) query cube, by default [32,32,32]</span>
<span class="sd"> download : bool, optional</span>
<span class="sd"> Whether to download data from Zenodo, by default True</span>
<span class="sd"> </span>

<span class="sd"> Attributes</span>
<span class="sd"> ----------</span>
<span class="sd"> train_loader: torch.utils.data.DataLoader</span>
<span class="sd"> dataloader of training examples</span>
<span class="sd"> test_loader: torch.utils.data.DataLoader</span>
<span class="sd"> dataloader of testing examples</span>

<span class="sd"> References</span>
<span class="sd"> ----------</span>
<span class="sd"> .. [1] :</span>
<span class="sd"> </span>
<span class="sd"> Umetani, N. and Bickel, B. (2018). &quot;Learning three-dimensional flow for interactive </span>
<span class="sd"> aerodynamic design&quot;. ACM Transactions on Graphics, 2018. </span>
<span class="sd"> https://dl.acm.org/doi/10.1145/3197517.3201325.</span>
<span class="sd"> &quot;&quot;&quot;</span>

<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
<span class="n">root_dir</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Path</span><span class="p">],</span>
<span class="n">n_train</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
<span class="n">n_test</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">1</span><span class="p">,</span>
<span class="n">query_res</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="mi">32</span><span class="p">,</span><span class="mi">32</span><span class="p">,</span><span class="mi">32</span><span class="p">],</span>
<span class="n">download</span><span class="p">:</span> <span class="nb">bool</span><span class="o">=</span><span class="kc">True</span>
<span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;Initialize the CarCFDDataset.</span>
<span class="sd"> &quot;&quot;&quot;</span>
<span class="bp">self</span><span class="o">.</span><span class="n">zenodo_record_id</span> <span class="o">=</span> <span class="s2">&quot;13936501&quot;</span>

<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">root_dir</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
<span class="n">root_dir</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="n">root_dir</span><span class="p">)</span>

<span class="k">if</span> <span class="ow">not</span> <span class="n">root_dir</span><span class="o">.</span><span class="n">exists</span><span class="p">():</span>
<span class="n">root_dir</span><span class="o">.</span><span class="n">mkdir</span><span class="p">(</span><span class="n">parents</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

<span class="k">if</span> <span class="n">download</span><span class="p">:</span>
<span class="n">download_from_zenodo_record</span><span class="p">(</span><span class="n">record_id</span><span class="o">=</span><span class="bp">self</span><span class="o">.</span><span class="n">zenodo_record_id</span><span class="p">,</span>
<span class="n">root</span><span class="o">=</span><span class="n">root_dir</span><span class="p">)</span>
<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span>
<span class="n">root_dir</span><span class="o">=</span><span class="n">root_dir</span><span class="p">,</span>
<span class="n">item_dir_name</span><span class="o">=</span><span class="s1">&#39;&#39;</span><span class="p">,</span>
<span class="n">n_train</span><span class="o">=</span><span class="n">n_train</span><span class="p">,</span>
<span class="n">n_test</span><span class="o">=</span><span class="n">n_test</span><span class="p">,</span>
<span class="n">query_res</span><span class="o">=</span><span class="n">query_res</span><span class="p">,</span>
<span class="n">attributes</span><span class="o">=</span><span class="s1">&#39;press&#39;</span>
<span class="p">)</span></div>

</pre></div>

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7 changes: 5 additions & 2 deletions dev/_modules/neuralop/data/datasets/darcy.html
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Expand Up @@ -127,6 +127,8 @@ <h1>Source code for neuralop.data.datasets.darcy</h1><div class="highlight"><pre

<span class="n">logger</span> <span class="o">=</span> <span class="n">logging</span><span class="o">.</span><span class="n">Logger</span><span class="p">(</span><span class="n">logging</span><span class="o">.</span><span class="n">root</span><span class="o">.</span><span class="n">level</span><span class="p">)</span>

<div class="viewcode-block" id="DarcyDataset">
<a class="viewcode-back" href="../../../../modules/generated/neuralop.data.datasets.darcy.DarcyDataset.html#neuralop.data.datasets.darcy.DarcyDataset">[docs]</a>
<span class="k">class</span> <span class="nc">DarcyDataset</span><span class="p">(</span><span class="n">PTDataset</span><span class="p">):</span>
<span class="w"> </span><span class="sd">&quot;&quot;&quot;</span>
<span class="sd"> DarcyDataset stores data generated according to Darcy&#39;s Law.</span>
Expand Down Expand Up @@ -237,12 +239,13 @@ <h1>Source code for neuralop.data.datasets.darcy</h1><div class="highlight"><pre
<span class="n">encoding</span><span class="o">=</span><span class="n">encoding</span><span class="p">,</span>
<span class="n">channel_dim</span><span class="o">=</span><span class="n">channel_dim</span><span class="p">,</span>
<span class="n">input_subsampling_rate</span><span class="o">=</span><span class="n">subsampling_rate</span><span class="p">,</span>
<span class="n">output_subsampling_rate</span><span class="o">=</span><span class="n">subsampling_rate</span><span class="p">)</span>
<span class="n">output_subsampling_rate</span><span class="o">=</span><span class="n">subsampling_rate</span><span class="p">)</span></div>


<span class="c1"># legacy Small Darcy Flow example</span>
<span class="n">example_data_root</span> <span class="o">=</span> <span class="n">get_project_root</span><span class="p">()</span> <span class="o">/</span> <span class="s2">&quot;neuralop/data/datasets/data&quot;</span>
<div class="viewcode-block" id="load_darcy_flow_small">
<a class="viewcode-back" href="../../../../modules/generated/neuralop.data.datasets.load_darcy_flow_small.html#neuralop.data.datasets.load_darcy_flow_small">[docs]</a>
<a class="viewcode-back" href="../../../../modules/generated/neuralop.data.datasets.load_darcy_flow_small.html#neuralop.data.datasets.darcy.load_darcy_flow_small">[docs]</a>
<span class="k">def</span> <span class="nf">load_darcy_flow_small</span><span class="p">(</span><span class="n">n_train</span><span class="p">,</span>
<span class="n">n_tests</span><span class="p">,</span>
<span class="n">batch_size</span><span class="p">,</span>
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