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| <div class="section" id="ndarray-vectorized-tensor-computations-on-cpus-and-gpus"> |
| <span id="ndarray-vectorized-tensor-computations-on-cpus-and-gpus"></span><h1>NDArray: Vectorized Tensor Computations on CPUs and GPUs<a class="headerlink" href="#ndarray-vectorized-tensor-computations-on-cpus-and-gpus" title="Permalink to this headline">¶</a></h1> |
| <p><code class="docutils literal"><span class="pre">NDArray</span></code> is the basic vectorized operation unit in MXNet for matrix and tensor computations. |
| Users can perform usual calculations as on an R”s array, but with two additional features:</p> |
| <ul class="simple"> |
| <li>Multiple devices: All operations can be run on various devices including |
| CPUs and GPUs.</li> |
| </ul> |
| <ul class="simple"> |
| <li>Automatic parallelization: All operations are automatically executed in |
| parallel with each other.</li> |
| </ul> |
| <div class="section" id="create-and-initialize"> |
| <span id="create-and-initialize"></span><h2>Create and Initialize<a class="headerlink" href="#create-and-initialize" title="Permalink to this headline">¶</a></h2> |
| <p>Let”s create <code class="docutils literal"><span class="pre">NDArray</span></code> on either a GPU or a CPU:</p> |
| <div class="highlight-r"><div class="highlight"><pre><span></span><span class="kn">require</span><span class="p">(</span>mxnet<span class="p">)</span> |
| </pre></div> |
| </div> |
| <div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1">## Loading required package: mxnet</span> |
| <span class="c1">## Loading required package: methods</span> |
| </pre></div> |
| </div> |
| <div class="highlight-r"><div class="highlight"><pre><span></span>a <span class="o"><-</span> mx.nd.zeros<span class="p">(</span><span class="kt">c</span><span class="p">(</span><span class="m">2</span><span class="p">,</span> <span class="m">3</span><span class="p">))</span> <span class="c1"># create a 2-by-3 matrix on cpu</span> |
| b <span class="o"><-</span> mx.nd.zeros<span class="p">(</span><span class="kt">c</span><span class="p">(</span><span class="m">2</span><span class="p">,</span> <span class="m">3</span><span class="p">),</span> mx.cpu<span class="p">())</span> <span class="c1"># create a 2-by-3 matrix on cpu</span> |
| <span class="c1"># c <- mx.nd.zeros(c(2, 3), mx.gpu(0)) # create a 2-by-3 matrix on gpu 0, if you have CUDA enabled.</span> |
| </pre></div> |
| </div> |
| <p>Typically for CUDA-enabled devices, the device id of a GPU starts from 0. |
| That’s why we passed in 0 to the GPU id.</p> |
| <p>We can initialize an <code class="docutils literal"><span class="pre">NDArray</span></code> object in various ways:</p> |
| <div class="highlight-r"><div class="highlight"><pre><span></span>a <span class="o"><-</span> mx.nd.ones<span class="p">(</span><span class="kt">c</span><span class="p">(</span><span class="m">4</span><span class="p">,</span> <span class="m">4</span><span class="p">))</span> |
| b <span class="o"><-</span> mx.rnorm<span class="p">(</span><span class="kt">c</span><span class="p">(</span><span class="m">4</span><span class="p">,</span> <span class="m">5</span><span class="p">))</span> |
| <span class="kt">c</span> <span class="o"><-</span> mx.nd.array<span class="p">(</span><span class="m">1</span><span class="o">:</span><span class="m">5</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| <p>To check the numbers in an <code class="docutils literal"><span class="pre">NDArray</span></code>, we can simply run:</p> |
| <div class="highlight-r"><div class="highlight"><pre><span></span>a <span class="o"><-</span> mx.nd.ones<span class="p">(</span><span class="kt">c</span><span class="p">(</span><span class="m">2</span><span class="p">,</span> <span class="m">3</span><span class="p">))</span> |
| b <span class="o"><-</span> <span class="kp">as.array</span><span class="p">(</span>a<span class="p">)</span> |
| <span class="kp">class</span><span class="p">(</span>b<span class="p">)</span> |
| </pre></div> |
| </div> |
| <div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1">## [1] "matrix"</span> |
| </pre></div> |
| </div> |
| <div class="highlight-r"><div class="highlight"><pre><span></span>b |
| </pre></div> |
| </div> |
| <div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1">## [,1] [,2] [,3]</span> |
| <span class="c1">## [1,] 1 1 1</span> |
| <span class="c1">## [2,] 1 1 1</span> |
| </pre></div> |
| </div> |
| </div> |
| <div class="section" id="performing-basic-operations"> |
| <span id="performing-basic-operations"></span><h2>Performing Basic Operations<a class="headerlink" href="#performing-basic-operations" title="Permalink to this headline">¶</a></h2> |
| <div class="section" id="elemental-wise-operations"> |
| <span id="elemental-wise-operations"></span><h3>Elemental-wise Operations<a class="headerlink" href="#elemental-wise-operations" title="Permalink to this headline">¶</a></h3> |
| <p>You can perform elemental-wise operations on <code class="docutils literal"><span class="pre">NDArray</span></code> objects, as follows:</p> |
| <div class="highlight-r"><div class="highlight"><pre><span></span>a <span class="o"><-</span> mx.nd.ones<span class="p">(</span><span class="kt">c</span><span class="p">(</span><span class="m">2</span><span class="p">,</span> <span class="m">4</span><span class="p">))</span> <span class="o">*</span> <span class="m">2</span> |
| b <span class="o"><-</span> mx.nd.ones<span class="p">(</span><span class="kt">c</span><span class="p">(</span><span class="m">2</span><span class="p">,</span> <span class="m">4</span><span class="p">))</span> <span class="o">/</span> <span class="m">8</span> |
| <span class="kp">as.array</span><span class="p">(</span>a<span class="p">)</span> |
| </pre></div> |
| </div> |
| <div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1">## [,1] [,2] [,3] [,4]</span> |
| <span class="c1">## [1,] 2 2 2 2</span> |
| <span class="c1">## [2,] 2 2 2 2</span> |
| </pre></div> |
| </div> |
| <div class="highlight-r"><div class="highlight"><pre><span></span><span class="kp">as.array</span><span class="p">(</span>b<span class="p">)</span> |
| </pre></div> |
| </div> |
| <div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1">## [,1] [,2] [,3] [,4]</span> |
| <span class="c1">## [1,] 0.125 0.125 0.125 0.125</span> |
| <span class="c1">## [2,] 0.125 0.125 0.125 0.125</span> |
| </pre></div> |
| </div> |
| <div class="highlight-r"><div class="highlight"><pre><span></span><span class="kt">c</span> <span class="o"><-</span> a <span class="o">+</span> b |
| <span class="kp">as.array</span><span class="p">(</span><span class="kt">c</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| <div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1">## [,1] [,2] [,3] [,4]</span> |
| <span class="c1">## [1,] 2.125 2.125 2.125 2.125</span> |
| <span class="c1">## [2,] 2.125 2.125 2.125 2.125</span> |
| </pre></div> |
| </div> |
| <div class="highlight-r"><div class="highlight"><pre><span></span>d <span class="o"><-</span> <span class="kt">c</span> <span class="o">/</span> a <span class="o">-</span> <span class="m">5</span> |
| <span class="kp">as.array</span><span class="p">(</span>d<span class="p">)</span> |
| </pre></div> |
| </div> |
| <div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1">## [,1] [,2] [,3] [,4]</span> |
| <span class="c1">## [1,] -3.9375 -3.9375 -3.9375 -3.9375</span> |
| <span class="c1">## [2,] -3.9375 -3.9375 -3.9375 -3.9375</span> |
| </pre></div> |
| </div> |
| <p>If two <code class="docutils literal"><span class="pre">NDArray</span></code>s are located on different devices, we need to explicitly move them to the same one. For instance:</p> |
| <div class="highlight-r"><div class="highlight"><pre><span></span>a <span class="o"><-</span> mx.nd.ones<span class="p">(</span><span class="kt">c</span><span class="p">(</span><span class="m">2</span><span class="p">,</span> <span class="m">3</span><span class="p">))</span> <span class="o">*</span> <span class="m">2</span> |
| b <span class="o"><-</span> mx.nd.ones<span class="p">(</span><span class="kt">c</span><span class="p">(</span><span class="m">2</span><span class="p">,</span> <span class="m">3</span><span class="p">),</span> mx.gpu<span class="p">())</span> <span class="o">/</span> <span class="m">8</span> |
| <span class="kt">c</span> <span class="o"><-</span> mx.nd.copyto<span class="p">(</span>a<span class="p">,</span> mx.gpu<span class="p">())</span> <span class="o">*</span> b |
| <span class="kp">as.array</span><span class="p">(</span><span class="kt">c</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| <div class="section" id="loading-and-saving"> |
| <span id="loading-and-saving"></span><h3>Loading and Saving<a class="headerlink" href="#loading-and-saving" title="Permalink to this headline">¶</a></h3> |
| <p>You can save a list of <code class="docutils literal"><span class="pre">NDArray</span></code> object to your disk with <code class="docutils literal"><span class="pre">mx.nd.save</span></code>:</p> |
| <div class="highlight-r"><div class="highlight"><pre><span></span>a <span class="o"><-</span> mx.nd.ones<span class="p">(</span><span class="kt">c</span><span class="p">(</span><span class="m">2</span><span class="p">,</span> <span class="m">3</span><span class="p">))</span> |
| mx.nd.save<span class="p">(</span><span class="kt">list</span><span class="p">(</span>a<span class="p">),</span> <span class="s">"temp.ndarray"</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| <p>You can load it back easily:</p> |
| <div class="highlight-r"><div class="highlight"><pre><span></span>a <span class="o"><-</span> mx.nd.load<span class="p">(</span><span class="s">"temp.ndarray"</span><span class="p">)</span> |
| <span class="kp">as.array</span><span class="p">(</span>a<span class="p">[[</span><span class="m">1</span><span class="p">]])</span> |
| </pre></div> |
| </div> |
| <div class="highlight-python"><div class="highlight"><pre><span></span><span class="c1">## [,1] [,2] [,3]</span> |
| <span class="c1">## [1,] 1 1 1</span> |
| <span class="c1">## [2,] 1 1 1</span> |
| </pre></div> |
| </div> |
| <p>We can directly save data to and load it from a distributed file system, such as Amazon S3 and HDFS:</p> |
| <div class="highlight-r"><div class="highlight"><pre><span></span>mx.nd.save<span class="p">(</span><span class="kt">list</span><span class="p">(</span>a<span class="p">),</span> <span class="s">"s3://mybucket/mydata.bin"</span><span class="p">)</span> |
| mx.nd.save<span class="p">(</span><span class="kt">list</span><span class="p">(</span>a<span class="p">),</span> <span class="s">"hdfs///users/myname/mydata.bin"</span><span class="p">)</span> |
| </pre></div> |
| </div> |
| </div> |
| </div> |
| <div class="section" id="automatic-parallelization"> |
| <span id="automatic-parallelization"></span><h2>Automatic Parallelization<a class="headerlink" href="#automatic-parallelization" title="Permalink to this headline">¶</a></h2> |
| <p><code class="docutils literal"><span class="pre">NDArray</span></code> can automatically execute operations in parallel. Automatic parallelization is useful when |
| using multiple resources, such as CPU cards, GPU cards, and CPU-to-GPU memory bandwidth.</p> |
| <p>For example, if we write <code class="docutils literal"><span class="pre">a</span> <span class="pre"><-</span> <span class="pre">a</span> <span class="pre">+</span> <span class="pre">1</span></code> followed by <code class="docutils literal"><span class="pre">b</span> <span class="pre"><-</span> <span class="pre">b</span> <span class="pre">+</span> <span class="pre">1</span></code>, and <code class="docutils literal"><span class="pre">a</span></code> is on a CPU and |
| <code class="docutils literal"><span class="pre">b</span></code> is on a GPU, executing them in parallel improves |
| efficiency. Furthermore, because copying data between CPUs and GPUs are also expensive, running in parallel with other computations further increases efficiency.</p> |
| <p>It’s hard to find the code that can be executed in parallel by eye. In the |
| following example, <code class="docutils literal"><span class="pre">a</span> <span class="pre"><-</span> <span class="pre">a</span> <span class="pre">+</span> <span class="pre">1</span></code> and <code class="docutils literal"><span class="pre">c</span> <span class="pre"><-</span> <span class="pre">c</span> <span class="pre">*</span> <span class="pre">3</span></code> can be executed in parallel, but <code class="docutils literal"><span class="pre">a</span> <span class="pre"><-</span> <span class="pre">a</span> <span class="pre">+</span> <span class="pre">1</span></code> and |
| <code class="docutils literal"><span class="pre">b</span> <span class="pre"><-</span> <span class="pre">b</span> <span class="pre">*</span> <span class="pre">3</span></code> should be in sequential.</p> |
| <div class="highlight-r"><div class="highlight"><pre><span></span>a <span class="o"><-</span> mx.nd.ones<span class="p">(</span><span class="kt">c</span><span class="p">(</span><span class="m">2</span><span class="p">,</span><span class="m">3</span><span class="p">))</span> |
| b <span class="o"><-</span> a |
| <span class="kt">c</span> <span class="o"><-</span> mx.nd.copyto<span class="p">(</span>a<span class="p">,</span> mx.cpu<span class="p">())</span> |
| a <span class="o"><-</span> a <span class="o">+</span> <span class="m">1</span> |
| b <span class="o"><-</span> b <span class="o">*</span> <span class="m">3</span> |
| <span class="kt">c</span> <span class="o"><-</span> <span class="kt">c</span> <span class="o">*</span> <span class="m">3</span> |
| </pre></div> |
| </div> |
| <p>Luckily, MXNet can automatically resolve the dependencies and |
| execute operations in parallel accurately. This allows us to write our program assuming there is only a single thread. MXNet will |
| automatically dispatch the program to multiple devices.</p> |
| <p>MXNet achieves this with lazy evaluation. Each operation is issued to an |
| internal engine, and then returned. For example, if we run <code class="docutils literal"><span class="pre">a</span> <span class="pre"><-</span> <span class="pre">a</span> <span class="pre">+</span> <span class="pre">1</span></code>, it |
| returns immediately after pushing the plus operator to the engine. This |
| asynchronous processing allows us to push more operators to the engine. It determines |
| the read and write dependencies and the best way to execute them in |
| parallel.</p> |
| <p>The actual computations are finished, allowing us to copy the results someplace else, such as <code class="docutils literal"><span class="pre">as.array(a)</span></code> or <code class="docutils literal"><span class="pre">mx.nd.save(a,</span> <span class="pre">"temp.dat")</span></code>. To write highly parallelized codes, we only need to postpone when we need |
| the results.</p> |
| </div> |
| <div class="section" id="next-steps"> |
| <span id="next-steps"></span><h2>Next Steps<a class="headerlink" href="#next-steps" title="Permalink to this headline">¶</a></h2> |
| <div class="toctree-wrapper compound"> |
| <ul> |
| <li class="toctree-l1"><a class="reference external" href="http://mxnet.io/tutorials/r/symbol.html">Symbol</a></li> |
| <li class="toctree-l1"><a class="reference external" href="http://mxnet.io/tutorials/r/CallbackFunctionTutorial.html">Write and use callback functions</a></li> |
| <li class="toctree-l1"><a class="reference external" href="http://mxnet.io/tutorials/r/fiveMinutesNeuralNetwork.html">Neural Networks with MXNet in Five Minutes</a></li> |
| <li class="toctree-l1"><a class="reference external" href="http://mxnet.io/tutorials/r/classifyRealImageWithPretrainedModel.html">Classify Real-World Images with Pre-trained Model</a></li> |
| <li class="toctree-l1"><a class="reference external" href="http://mxnet.io/tutorials/r/mnistCompetition.html">Handwritten Digits Classification Competition</a></li> |
| <li class="toctree-l1"><a class="reference external" href="http://mxnet.io/tutorials/r/charRnnModel.html">Character Language Model using RNN</a></li> |
| </ul> |
| </div> |
| </div> |
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| <h3><a href="../../index.html">Table Of Contents</a></h3> |
| <ul> |
| <li><a class="reference internal" href="#">NDArray: Vectorized Tensor Computations on CPUs and GPUs</a><ul> |
| <li><a class="reference internal" href="#create-and-initialize">Create and Initialize</a></li> |
| <li><a class="reference internal" href="#performing-basic-operations">Performing Basic Operations</a><ul> |
| <li><a class="reference internal" href="#elemental-wise-operations">Elemental-wise Operations</a></li> |
| <li><a class="reference internal" href="#loading-and-saving">Loading and Saving</a></li> |
| </ul> |
| </li> |
| <li><a class="reference internal" href="#automatic-parallelization">Automatic Parallelization</a></li> |
| <li><a class="reference internal" href="#next-steps">Next Steps</a></li> |
| </ul> |
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