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<h1>Source code for arrayfire.data</h1><div class="highlight"><pre>
<span></span><span class="c1">#######################################################</span>
<span class="c1"># Copyright (c) 2015, ArrayFire</span>
<span class="c1"># All rights reserved.</span>
<span class="c1">#</span>
<span class="c1"># This file is distributed under 3-clause BSD license.</span>
<span class="c1"># The complete license agreement can be obtained at:</span>
<span class="c1"># http://arrayfire.com/licenses/BSD-3-Clause</span>
<span class="c1">########################################################</span>
<span class="sd">"""</span>
<span class="sd">Functions to create and manipulate arrays.</span>
<span class="sd">"""</span>
<span class="kn">from</span> <span class="nn">sys</span> <span class="kn">import</span> <span class="n">version_info</span>
<span class="kn">from</span> <span class="nn">.library</span> <span class="kn">import</span> <span class="o">*</span>
<span class="kn">from</span> <span class="nn">.array</span> <span class="kn">import</span> <span class="o">*</span>
<span class="kn">from</span> <span class="nn">.util</span> <span class="kn">import</span> <span class="o">*</span>
<span class="kn">from</span> <span class="nn">.util</span> <span class="kn">import</span> <span class="n">_is_number</span>
<div class="viewcode-block" id="constant"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.constant">[docs]</a><span class="k">def</span> <span class="nf">constant</span><span class="p">(</span><span class="n">val</span><span class="p">,</span> <span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">d2</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">d3</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">Dtype</span><span class="o">.</span><span class="n">f32</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Create a multi dimensional array whose elements contain the same value.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> val : scalar.</span>
<span class="sd"> Value of each element of the constant array.</span>
<span class="sd"> d0 : int.</span>
<span class="sd"> Length of first dimension.</span>
<span class="sd"> d1 : optional: int. default: None.</span>
<span class="sd"> Length of second dimension.</span>
<span class="sd"> d2 : optional: int. default: None.</span>
<span class="sd"> Length of third dimension.</span>
<span class="sd"> d3 : optional: int. default: None.</span>
<span class="sd"> Length of fourth dimension.</span>
<span class="sd"> dtype : optional: af.Dtype. default: af.Dtype.f32.</span>
<span class="sd"> Data type of the array.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> Multi dimensional array whose elements are of value `val`.</span>
<span class="sd"> - If d1 is None, `out` is 1D of size (d0,).</span>
<span class="sd"> - If d1 is not None and d2 is None, `out` is 2D of size (d0, d1).</span>
<span class="sd"> - If d1 and d2 are not None and d3 is None, `out` is 3D of size (d0, d1, d2).</span>
<span class="sd"> - If d1, d2, d3 are all not None, `out` is 4D of size (d0, d1, d2, d3).</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">out</span><span class="o">.</span><span class="n">arr</span> <span class="o">=</span> <span class="n">constant_array</span><span class="p">(</span><span class="n">val</span><span class="p">,</span> <span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span> <span class="n">d3</span><span class="p">,</span> <span class="n">dtype</span><span class="o">.</span><span class="n">value</span><span class="p">)</span>
<span class="k">return</span> <span class="n">out</span></div>
<span class="c1"># Store builtin range function to be used later</span>
<span class="n">_brange</span> <span class="o">=</span> <span class="nb">range</span>
<div class="viewcode-block" id="range"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.range">[docs]</a><span class="k">def</span> <span class="nf">range</span><span class="p">(</span><span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">d2</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">d3</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">Dtype</span><span class="o">.</span><span class="n">f32</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Create a multi dimensional array using length of a dimension as range.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> val : scalar.</span>
<span class="sd"> Value of each element of the constant array.</span>
<span class="sd"> d0 : int.</span>
<span class="sd"> Length of first dimension.</span>
<span class="sd"> d1 : optional: int. default: None.</span>
<span class="sd"> Length of second dimension.</span>
<span class="sd"> d2 : optional: int. default: None.</span>
<span class="sd"> Length of third dimension.</span>
<span class="sd"> d3 : optional: int. default: None.</span>
<span class="sd"> Length of fourth dimension.</span>
<span class="sd"> dim : optional: int. default: 0.</span>
<span class="sd"> The dimension along which the range is calculated.</span>
<span class="sd"> dtype : optional: af.Dtype. default: af.Dtype.f32.</span>
<span class="sd"> Data type of the array.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> Multi dimensional array whose elements are along `dim` fall between [0 - self.dims[dim]-1]</span>
<span class="sd"> - If d1 is None, `out` is 1D of size (d0,).</span>
<span class="sd"> - If d1 is not None and d2 is None, `out` is 2D of size (d0, d1).</span>
<span class="sd"> - If d1 and d2 are not None and d3 is None, `out` is 3D of size (d0, d1, d2).</span>
<span class="sd"> - If d1, d2, d3 are all not None, `out` is 4D of size (d0, d1, d2, d3).</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
<span class="sd"> >>> import arrayfire as af</span>
<span class="sd"> >>> a = af.range(3, 2) # dim is not specified, range is along first dimension.</span>
<span class="sd"> >>> af.display(a) # The data ranges from [0 - 2] (3 elements along first dimension)</span>
<span class="sd"> [3 2 1 1]</span>
<span class="sd"> 0.0000 0.0000</span>
<span class="sd"> 1.0000 1.0000</span>
<span class="sd"> 2.0000 2.0000</span>
<span class="sd"> >>> a = af.range(3, 2, dim=1) # dim is 1, range is along second dimension.</span>
<span class="sd"> >>> af.display(a) # The data ranges from [0 - 1] (2 elements along second dimension)</span>
<span class="sd"> [3 2 1 1]</span>
<span class="sd"> 0.0000 1.0000</span>
<span class="sd"> 0.0000 1.0000</span>
<span class="sd"> 0.0000 1.0000</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">dims</span> <span class="o">=</span> <span class="n">dim4</span><span class="p">(</span><span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span> <span class="n">d3</span><span class="p">)</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_range</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="mi">4</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">dims</span><span class="p">),</span> <span class="n">dim</span><span class="p">,</span> <span class="n">dtype</span><span class="o">.</span><span class="n">value</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="iota"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.iota">[docs]</a><span class="k">def</span> <span class="nf">iota</span><span class="p">(</span><span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">d2</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">d3</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">dim</span><span class="o">=-</span><span class="mi">1</span><span class="p">,</span> <span class="n">tile_dims</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">Dtype</span><span class="o">.</span><span class="n">f32</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Create a multi dimensional array using the number of elements in the array as the range.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> val : scalar.</span>
<span class="sd"> Value of each element of the constant array.</span>
<span class="sd"> d0 : int.</span>
<span class="sd"> Length of first dimension.</span>
<span class="sd"> d1 : optional: int. default: None.</span>
<span class="sd"> Length of second dimension.</span>
<span class="sd"> d2 : optional: int. default: None.</span>
<span class="sd"> Length of third dimension.</span>
<span class="sd"> d3 : optional: int. default: None.</span>
<span class="sd"> Length of fourth dimension.</span>
<span class="sd"> tile_dims : optional: tuple of ints. default: None.</span>
<span class="sd"> The number of times the data is tiled.</span>
<span class="sd"> dtype : optional: af.Dtype. default: af.Dtype.f32.</span>
<span class="sd"> Data type of the array.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> Multi dimensional array whose elements are along `dim` fall between [0 - self.elements() - 1].</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
<span class="sd"> >>> import arrayfire as af</span>
<span class="sd"> >>> import arrayfire as af</span>
<span class="sd"> >>> a = af.iota(3,3) # tile_dim is not specified, data is not tiled</span>
<span class="sd"> >>> af.display(a) # the elements range from [0 - 8] (9 elements)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.0000 3.0000 6.0000</span>
<span class="sd"> 1.0000 4.0000 7.0000</span>
<span class="sd"> 2.0000 5.0000 8.0000</span>
<span class="sd"> >>> b = af.iota(3,3,tile_dims(1,2)) # Asking to tile along second dimension.</span>
<span class="sd"> >>> af.display(b)</span>
<span class="sd"> [3 6 1 1]</span>
<span class="sd"> 0.0000 3.0000 6.0000 0.0000 3.0000 6.0000</span>
<span class="sd"> 1.0000 4.0000 7.0000 1.0000 4.0000 7.0000</span>
<span class="sd"> 2.0000 5.0000 8.0000 2.0000 5.0000 8.0000</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">dims</span> <span class="o">=</span> <span class="n">dim4</span><span class="p">(</span><span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span> <span class="n">d3</span><span class="p">)</span>
<span class="n">td</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">*</span><span class="mi">4</span>
<span class="k">if</span> <span class="n">tile_dims</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="n">_brange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">tile_dims</span><span class="p">)):</span>
<span class="n">td</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">tile_dims</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
<span class="n">tdims</span> <span class="o">=</span> <span class="n">dim4</span><span class="p">(</span><span class="n">td</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">td</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">td</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">td</span><span class="p">[</span><span class="mi">3</span><span class="p">])</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_iota</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="mi">4</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">dims</span><span class="p">),</span>
<span class="mi">4</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">tdims</span><span class="p">),</span> <span class="n">dtype</span><span class="o">.</span><span class="n">value</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="randu"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.randu">[docs]</a><span class="k">def</span> <span class="nf">randu</span><span class="p">(</span><span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">d2</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">d3</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">Dtype</span><span class="o">.</span><span class="n">f32</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Create a multi dimensional array containing values from a uniform distribution.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> d0 : int.</span>
<span class="sd"> Length of first dimension.</span>
<span class="sd"> d1 : optional: int. default: None.</span>
<span class="sd"> Length of second dimension.</span>
<span class="sd"> d2 : optional: int. default: None.</span>
<span class="sd"> Length of third dimension.</span>
<span class="sd"> d3 : optional: int. default: None.</span>
<span class="sd"> Length of fourth dimension.</span>
<span class="sd"> dtype : optional: af.Dtype. default: af.Dtype.f32.</span>
<span class="sd"> Data type of the array.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> Multi dimensional array whose elements are sampled uniformly between [0, 1].</span>
<span class="sd"> - If d1 is None, `out` is 1D of size (d0,).</span>
<span class="sd"> - If d1 is not None and d2 is None, `out` is 2D of size (d0, d1).</span>
<span class="sd"> - If d1 and d2 are not None and d3 is None, `out` is 3D of size (d0, d1, d2).</span>
<span class="sd"> - If d1, d2, d3 are all not None, `out` is 4D of size (d0, d1, d2, d3).</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">dims</span> <span class="o">=</span> <span class="n">dim4</span><span class="p">(</span><span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span> <span class="n">d3</span><span class="p">)</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_randu</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="mi">4</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">dims</span><span class="p">),</span> <span class="n">dtype</span><span class="o">.</span><span class="n">value</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="randn"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.randn">[docs]</a><span class="k">def</span> <span class="nf">randn</span><span class="p">(</span><span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">d2</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">d3</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">Dtype</span><span class="o">.</span><span class="n">f32</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Create a multi dimensional array containing values from a normal distribution.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> d0 : int.</span>
<span class="sd"> Length of first dimension.</span>
<span class="sd"> d1 : optional: int. default: None.</span>
<span class="sd"> Length of second dimension.</span>
<span class="sd"> d2 : optional: int. default: None.</span>
<span class="sd"> Length of third dimension.</span>
<span class="sd"> d3 : optional: int. default: None.</span>
<span class="sd"> Length of fourth dimension.</span>
<span class="sd"> dtype : optional: af.Dtype. default: af.Dtype.f32.</span>
<span class="sd"> Data type of the array.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> Multi dimensional array whose elements are sampled from a normal distribution with mean 0 and sigma of 1.</span>
<span class="sd"> - If d1 is None, `out` is 1D of size (d0,).</span>
<span class="sd"> - If d1 is not None and d2 is None, `out` is 2D of size (d0, d1).</span>
<span class="sd"> - If d1 and d2 are not None and d3 is None, `out` is 3D of size (d0, d1, d2).</span>
<span class="sd"> - If d1, d2, d3 are all not None, `out` is 4D of size (d0, d1, d2, d3).</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">dims</span> <span class="o">=</span> <span class="n">dim4</span><span class="p">(</span><span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span> <span class="n">d3</span><span class="p">)</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_randn</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="mi">4</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">dims</span><span class="p">),</span> <span class="n">dtype</span><span class="o">.</span><span class="n">value</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="set_seed"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.set_seed">[docs]</a><span class="k">def</span> <span class="nf">set_seed</span><span class="p">(</span><span class="n">seed</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Set the seed for the random number generator.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> seed: int.</span>
<span class="sd"> Seed for the random number generator</span>
<span class="sd"> """</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_set_seed</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">c_ulonglong</span><span class="p">(</span><span class="n">seed</span><span class="p">)))</span></div>
<div class="viewcode-block" id="get_seed"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.get_seed">[docs]</a><span class="k">def</span> <span class="nf">get_seed</span><span class="p">():</span>
<span class="sd">"""</span>
<span class="sd"> Get the seed for the random number generator.</span>
<span class="sd"> Returns</span>
<span class="sd"> ----------</span>
<span class="sd"> seed: int.</span>
<span class="sd"> Seed for the random number generator</span>
<span class="sd"> """</span>
<span class="n">seed</span> <span class="o">=</span> <span class="n">ct</span><span class="o">.</span><span class="n">c_ulonglong</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_get_seed</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">seed</span><span class="p">)))</span>
<span class="k">return</span> <span class="n">seed</span><span class="o">.</span><span class="n">value</span></div>
<div class="viewcode-block" id="identity"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.identity">[docs]</a><span class="k">def</span> <span class="nf">identity</span><span class="p">(</span><span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">d3</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">Dtype</span><span class="o">.</span><span class="n">f32</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Create an identity matrix or batch of identity matrices.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> d0 : int.</span>
<span class="sd"> Length of first dimension.</span>
<span class="sd"> d1 : int.</span>
<span class="sd"> Length of second dimension.</span>
<span class="sd"> d2 : optional: int. default: None.</span>
<span class="sd"> Length of third dimension.</span>
<span class="sd"> d3 : optional: int. default: None.</span>
<span class="sd"> Length of fourth dimension.</span>
<span class="sd"> dtype : optional: af.Dtype. default: af.Dtype.f32.</span>
<span class="sd"> Data type of the array.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> Multi dimensional array whose first two dimensions form a identity matrix.</span>
<span class="sd"> - If d2 is None, `out` is 2D of size (d0, d1).</span>
<span class="sd"> - If d2 is not None and d3 is None, `out` is 3D of size (d0, d1, d2).</span>
<span class="sd"> - If d2, d3 are not None, `out` is 4D of size (d0, d1, d2, d3).</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">dims</span> <span class="o">=</span> <span class="n">dim4</span><span class="p">(</span><span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span> <span class="n">d3</span><span class="p">)</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_identity</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="mi">4</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">dims</span><span class="p">),</span> <span class="n">dtype</span><span class="o">.</span><span class="n">value</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="diag"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.diag">[docs]</a><span class="k">def</span> <span class="nf">diag</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">num</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">extract</span><span class="o">=</span><span class="bp">True</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Create a diagonal matrix or Extract the diagonal from a matrix.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> a : af.Array.</span>
<span class="sd"> 1 dimensional or 2 dimensional arrayfire array.</span>
<span class="sd"> num : optional: int. default: 0.</span>
<span class="sd"> The index of the diagonal.</span>
<span class="sd"> - num == 0 signifies the diagonal.</span>
<span class="sd"> - num > 0 signifies super diagonals.</span>
<span class="sd"> - num < 0 signifies sub diagonals.</span>
<span class="sd"> extract : optional: bool. default: True.</span>
<span class="sd"> - If True , diagonal is extracted. `a` has to be 2D.</span>
<span class="sd"> - If False, diagonal matrix is created. `a` has to be 1D.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> - if extract is True, `out` contains the num'th diagonal from `a`.</span>
<span class="sd"> - if extract is False, `out` contains `a` as the num'th diagonal.</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="k">if</span> <span class="n">extract</span><span class="p">:</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_diag_extract</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">a</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">c_int</span><span class="p">(</span><span class="n">num</span><span class="p">)))</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_diag_create</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">a</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">c_int</span><span class="p">(</span><span class="n">num</span><span class="p">)))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="join"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.join">[docs]</a><span class="k">def</span> <span class="nf">join</span><span class="p">(</span><span class="n">dim</span><span class="p">,</span> <span class="n">first</span><span class="p">,</span> <span class="n">second</span><span class="p">,</span> <span class="n">third</span><span class="o">=</span><span class="bp">None</span><span class="p">,</span> <span class="n">fourth</span><span class="o">=</span><span class="bp">None</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Join two or more arrayfire arrays along a specified dimension.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> dim: int.</span>
<span class="sd"> Dimension along which the join occurs.</span>
<span class="sd"> first : af.Array.</span>
<span class="sd"> Multi dimensional arrayfire array.</span>
<span class="sd"> second : af.Array.</span>
<span class="sd"> Multi dimensional arrayfire array.</span>
<span class="sd"> third : optional: af.Array. default: None.</span>
<span class="sd"> Multi dimensional arrayfire array.</span>
<span class="sd"> fourth : optional: af.Array. default: None.</span>
<span class="sd"> Multi dimensional arrayfire array.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> An array containing the input arrays joined along the specified dimension.</span>
<span class="sd"> Examples</span>
<span class="sd"> ---------</span>
<span class="sd"> >>> import arrayfire as af</span>
<span class="sd"> >>> a = af.randu(2, 3)</span>
<span class="sd"> >>> b = af.randu(2, 3)</span>
<span class="sd"> >>> c = af.join(0, a, b)</span>
<span class="sd"> >>> d = af.join(1, a, b)</span>
<span class="sd"> >>> af.display(a)</span>
<span class="sd"> [2 3 1 1]</span>
<span class="sd"> 0.9508 0.2591 0.7928</span>
<span class="sd"> 0.5367 0.8359 0.8719</span>
<span class="sd"> >>> af.display(b)</span>
<span class="sd"> [2 3 1 1]</span>
<span class="sd"> 0.3266 0.6009 0.2442</span>
<span class="sd"> 0.6275 0.0495 0.6591</span>
<span class="sd"> >>> af.display(c)</span>
<span class="sd"> [4 3 1 1]</span>
<span class="sd"> 0.9508 0.2591 0.7928</span>
<span class="sd"> 0.5367 0.8359 0.8719</span>
<span class="sd"> 0.3266 0.6009 0.2442</span>
<span class="sd"> 0.6275 0.0495 0.6591</span>
<span class="sd"> >>> af.display(d)</span>
<span class="sd"> [2 6 1 1]</span>
<span class="sd"> 0.9508 0.2591 0.7928 0.3266 0.6009 0.2442</span>
<span class="sd"> 0.5367 0.8359 0.8719 0.6275 0.0495 0.6591</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="k">if</span> <span class="p">(</span><span class="n">third</span> <span class="ow">is</span> <span class="bp">None</span> <span class="ow">and</span> <span class="n">fourth</span> <span class="ow">is</span> <span class="bp">None</span><span class="p">):</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_join</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">dim</span><span class="p">,</span> <span class="n">first</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">second</span><span class="o">.</span><span class="n">arr</span><span class="p">))</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">c_void_p_4</span> <span class="o">=</span> <span class="n">ct</span><span class="o">.</span><span class="n">c_void_p</span> <span class="o">*</span> <span class="mi">4</span>
<span class="n">c_array_vec</span> <span class="o">=</span> <span class="n">c_void_p_4</span><span class="p">(</span><span class="n">first</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">second</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
<span class="n">num</span> <span class="o">=</span> <span class="mi">2</span>
<span class="k">if</span> <span class="n">third</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">c_array_vec</span><span class="p">[</span><span class="n">num</span><span class="p">]</span> <span class="o">=</span> <span class="n">third</span><span class="o">.</span><span class="n">arr</span>
<span class="n">num</span><span class="o">+=</span><span class="mi">1</span>
<span class="k">if</span> <span class="n">fourth</span> <span class="ow">is</span> <span class="ow">not</span> <span class="bp">None</span><span class="p">:</span>
<span class="n">c_array_vec</span><span class="p">[</span><span class="n">num</span><span class="p">]</span> <span class="o">=</span> <span class="n">fourth</span><span class="o">.</span><span class="n">arr</span>
<span class="n">num</span><span class="o">+=</span><span class="mi">1</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_join_many</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">dim</span><span class="p">,</span> <span class="n">num</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">c_array_vec</span><span class="p">)))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="tile"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.tile">[docs]</a><span class="k">def</span> <span class="nf">tile</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">d2</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">d3</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Tile an array along specified dimensions.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> a : af.Array.</span>
<span class="sd"> Multi dimensional array.</span>
<span class="sd"> d0: int.</span>
<span class="sd"> The number of times `a` has to be tiled along first dimension.</span>
<span class="sd"> d1: optional: int. default: 1.</span>
<span class="sd"> The number of times `a` has to be tiled along second dimension.</span>
<span class="sd"> d2: optional: int. default: 1.</span>
<span class="sd"> The number of times `a` has to be tiled along third dimension.</span>
<span class="sd"> d3: optional: int. default: 1.</span>
<span class="sd"> The number of times `a` has to be tiled along fourth dimension.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> An array containing the input after tiling the the specified number of times.</span>
<span class="sd"> Examples</span>
<span class="sd"> ---------</span>
<span class="sd"> >>> import arrayfire as af</span>
<span class="sd"> >>> a = af.randu(2, 3)</span>
<span class="sd"> >>> b = af.tile(a, 2)</span>
<span class="sd"> >>> c = af.tile(a, 1, 2)</span>
<span class="sd"> >>> d = af.tile(a, 2, 2)</span>
<span class="sd"> >>> af.display(a)</span>
<span class="sd"> [2 3 1 1]</span>
<span class="sd"> 0.9508 0.2591 0.7928</span>
<span class="sd"> 0.5367 0.8359 0.8719</span>
<span class="sd"> >>> af.display(b)</span>
<span class="sd"> [4 3 1 1]</span>
<span class="sd"> 0.4107 0.9518 0.4198</span>
<span class="sd"> 0.8224 0.1794 0.0081</span>
<span class="sd"> 0.4107 0.9518 0.4198</span>
<span class="sd"> 0.8224 0.1794 0.0081</span>
<span class="sd"> >>> af.display(c)</span>
<span class="sd"> [2 6 1 1]</span>
<span class="sd"> 0.4107 0.9518 0.4198 0.4107 0.9518 0.4198</span>
<span class="sd"> 0.8224 0.1794 0.0081 0.8224 0.1794 0.0081</span>
<span class="sd"> >>> af.display(d)</span>
<span class="sd"> [4 6 1 1]</span>
<span class="sd"> 0.4107 0.9518 0.4198 0.4107 0.9518 0.4198</span>
<span class="sd"> 0.8224 0.1794 0.0081 0.8224 0.1794 0.0081</span>
<span class="sd"> 0.4107 0.9518 0.4198 0.4107 0.9518 0.4198</span>
<span class="sd"> 0.8224 0.1794 0.0081 0.8224 0.1794 0.0081</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_tile</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">a</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span> <span class="n">d3</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="reorder"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.reorder">[docs]</a><span class="k">def</span> <span class="nf">reorder</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">d0</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">d1</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">d2</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">d3</span><span class="o">=</span><span class="mi">3</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Reorder the dimensions of the input.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> a : af.Array.</span>
<span class="sd"> Multi dimensional array.</span>
<span class="sd"> d0: optional: int. default: 1.</span>
<span class="sd"> The location of the first dimension in the output.</span>
<span class="sd"> d1: optional: int. default: 0.</span>
<span class="sd"> The location of the second dimension in the output.</span>
<span class="sd"> d2: optional: int. default: 2.</span>
<span class="sd"> The location of the third dimension in the output.</span>
<span class="sd"> d3: optional: int. default: 3.</span>
<span class="sd"> The location of the fourth dimension in the output.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> - An array containing the input aftern reordering its dimensions.</span>
<span class="sd"> Note</span>
<span class="sd"> ------</span>
<span class="sd"> - `af.reorder(a, 1, 0)` is the same as `transpose(a)`</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
<span class="sd"> >>> import arrayfire as af</span>
<span class="sd"> >>> a = af.randu(5, 5, 3)</span>
<span class="sd"> >>> af.display(a)</span>
<span class="sd"> [5 5 3 1]</span>
<span class="sd"> 0.4107 0.0081 0.6600 0.1046 0.8395</span>
<span class="sd"> 0.8224 0.3775 0.0764 0.8827 0.1933</span>
<span class="sd"> 0.9518 0.3027 0.0901 0.1647 0.7270</span>
<span class="sd"> 0.1794 0.6456 0.5933 0.8060 0.0322</span>
<span class="sd"> 0.4198 0.5591 0.1098 0.5938 0.0012</span>
<span class="sd"> 0.8703 0.9250 0.4387 0.6530 0.4224</span>
<span class="sd"> 0.5259 0.3063 0.3784 0.5476 0.5293</span>
<span class="sd"> 0.1443 0.9313 0.4002 0.8577 0.0212</span>
<span class="sd"> 0.3253 0.8684 0.4390 0.8370 0.1103</span>
<span class="sd"> 0.5081 0.6592 0.4718 0.0618 0.4420</span>
<span class="sd"> 0.8355 0.6767 0.1033 0.9426 0.9276</span>
<span class="sd"> 0.4878 0.6742 0.2119 0.4817 0.8662</span>
<span class="sd"> 0.2055 0.4523 0.5955 0.9097 0.3578</span>
<span class="sd"> 0.1794 0.1236 0.3745 0.6821 0.6263</span>
<span class="sd"> 0.5606 0.7924 0.9165 0.6056 0.9747</span>
<span class="sd"> >>> b = af.reorder(a, 2, 0, 1)</span>
<span class="sd"> >>> af.display(b)</span>
<span class="sd"> [3 5 5 1]</span>
<span class="sd"> 0.4107 0.8224 0.9518 0.1794 0.4198</span>
<span class="sd"> 0.8703 0.5259 0.1443 0.3253 0.5081</span>
<span class="sd"> 0.8355 0.4878 0.2055 0.1794 0.5606</span>
<span class="sd"> 0.0081 0.3775 0.3027 0.6456 0.5591</span>
<span class="sd"> 0.9250 0.3063 0.9313 0.8684 0.6592</span>
<span class="sd"> 0.6767 0.6742 0.4523 0.1236 0.7924</span>
<span class="sd"> 0.6600 0.0764 0.0901 0.5933 0.1098</span>
<span class="sd"> 0.4387 0.3784 0.4002 0.4390 0.4718</span>
<span class="sd"> 0.1033 0.2119 0.5955 0.3745 0.9165</span>
<span class="sd"> 0.1046 0.8827 0.1647 0.8060 0.5938</span>
<span class="sd"> 0.6530 0.5476 0.8577 0.8370 0.0618</span>
<span class="sd"> 0.9426 0.4817 0.9097 0.6821 0.6056</span>
<span class="sd"> 0.8395 0.1933 0.7270 0.0322 0.0012</span>
<span class="sd"> 0.4224 0.5293 0.0212 0.1103 0.4420</span>
<span class="sd"> 0.9276 0.8662 0.3578 0.6263 0.9747</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_reorder</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">a</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span> <span class="n">d3</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="shift"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.shift">[docs]</a><span class="k">def</span> <span class="nf">shift</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">d2</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">d3</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Shift the input along each dimension.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> a : af.Array.</span>
<span class="sd"> Multi dimensional array.</span>
<span class="sd"> d0: int.</span>
<span class="sd"> The amount of shift along first dimension.</span>
<span class="sd"> d1: optional: int. default: 0.</span>
<span class="sd"> The amount of shift along second dimension.</span>
<span class="sd"> d2: optional: int. default: 0.</span>
<span class="sd"> The amount of shift along third dimension.</span>
<span class="sd"> d3: optional: int. default: 0.</span>
<span class="sd"> The amount of shift along fourth dimension.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> - An array the same shape as `a` after shifting it by the specified amounts.</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
<span class="sd"> >>> import arrayfire as af</span>
<span class="sd"> >>> a = af.randu(3, 3)</span>
<span class="sd"> >>> b = af.shift(a, 2)</span>
<span class="sd"> >>> c = af.shift(a, 1, -1)</span>
<span class="sd"> >>> af.display(a)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.7269 0.3569 0.3341</span>
<span class="sd"> 0.7104 0.1437 0.0899</span>
<span class="sd"> 0.5201 0.4563 0.5363</span>
<span class="sd"> >>> af.display(b)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.7104 0.1437 0.0899</span>
<span class="sd"> 0.5201 0.4563 0.5363</span>
<span class="sd"> 0.7269 0.3569 0.3341</span>
<span class="sd"> >>> af.display(c)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.4563 0.5363 0.5201</span>
<span class="sd"> 0.3569 0.3341 0.7269</span>
<span class="sd"> 0.1437 0.0899 0.7104</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_shift</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">a</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span> <span class="n">d3</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="moddims"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.moddims">[docs]</a><span class="k">def</span> <span class="nf">moddims</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">d2</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">d3</span><span class="o">=</span><span class="mi">1</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Modify the shape of the array without changing the data layout.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> a : af.Array.</span>
<span class="sd"> Multi dimensional array.</span>
<span class="sd"> d0: int.</span>
<span class="sd"> The first dimension of output.</span>
<span class="sd"> d1: optional: int. default: 1.</span>
<span class="sd"> The second dimension of output.</span>
<span class="sd"> d2: optional: int. default: 1.</span>
<span class="sd"> The third dimension of output.</span>
<span class="sd"> d3: optional: int. default: 1.</span>
<span class="sd"> The fourth dimension of output.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> - An containing the same data as `a` with the specified shape.</span>
<span class="sd"> - The number of elements in `a` must match `d0 x d1 x d2 x d3`.</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">dims</span> <span class="o">=</span> <span class="n">dim4</span><span class="p">(</span><span class="n">d0</span><span class="p">,</span> <span class="n">d1</span><span class="p">,</span> <span class="n">d2</span><span class="p">,</span> <span class="n">d3</span><span class="p">)</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_moddims</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">a</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">dims</span><span class="p">)))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="flat"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.flat">[docs]</a><span class="k">def</span> <span class="nf">flat</span><span class="p">(</span><span class="n">a</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Flatten the input array.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> a : af.Array.</span>
<span class="sd"> Multi dimensional array.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> - 1 dimensional array containing all the elements from `a`.</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_flat</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">a</span><span class="o">.</span><span class="n">arr</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="flip"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.flip">[docs]</a><span class="k">def</span> <span class="nf">flip</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">0</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Flip an array along a dimension.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> a : af.Array.</span>
<span class="sd"> Multi dimensional array.</span>
<span class="sd"> dim : optional: int. default: 0.</span>
<span class="sd"> The dimension along which the flip is performed.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> The output after flipping `a` along `dim`.</span>
<span class="sd"> Examples</span>
<span class="sd"> ---------</span>
<span class="sd"> >>> import arrayfire as af</span>
<span class="sd"> >>> a = af.randu(3, 3)</span>
<span class="sd"> >>> af.display(a)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.7269 0.3569 0.3341</span>
<span class="sd"> 0.7104 0.1437 0.0899</span>
<span class="sd"> 0.5201 0.4563 0.5363</span>
<span class="sd"> >>> af.display(b)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.5201 0.4563 0.5363</span>
<span class="sd"> 0.7104 0.1437 0.0899</span>
<span class="sd"> 0.7269 0.3569 0.3341</span>
<span class="sd"> >>> af.display(c)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.3341 0.3569 0.7269</span>
<span class="sd"> 0.0899 0.1437 0.7104</span>
<span class="sd"> 0.5363 0.4563 0.5201</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_flip</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">a</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">c_int</span><span class="p">(</span><span class="n">dim</span><span class="p">)))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="lower"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.lower">[docs]</a><span class="k">def</span> <span class="nf">lower</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">is_unit_diag</span><span class="o">=</span><span class="bp">False</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Extract the lower triangular matrix from the input.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> a : af.Array.</span>
<span class="sd"> Multi dimensional array.</span>
<span class="sd"> is_unit_diag: optional: bool. default: False.</span>
<span class="sd"> Flag specifying if the diagonal elements are 1.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> An array containing the lower triangular elements from `a`.</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_lower</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">a</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">is_unit_diag</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="upper"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.upper">[docs]</a><span class="k">def</span> <span class="nf">upper</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">is_unit_diag</span><span class="o">=</span><span class="bp">False</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Extract the upper triangular matrix from the input.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> a : af.Array.</span>
<span class="sd"> Multi dimensional array.</span>
<span class="sd"> is_unit_diag: optional: bool. default: False.</span>
<span class="sd"> Flag specifying if the diagonal elements are 1.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> out : af.Array</span>
<span class="sd"> An array containing the upper triangular elements from `a`.</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_upper</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">a</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">is_unit_diag</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="select"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.select">[docs]</a><span class="k">def</span> <span class="nf">select</span><span class="p">(</span><span class="n">cond</span><span class="p">,</span> <span class="n">lhs</span><span class="p">,</span> <span class="n">rhs</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Select elements from one of two arrays based on condition.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> cond : af.Array</span>
<span class="sd"> Conditional array</span>
<span class="sd"> lhs : af.Array or scalar</span>
<span class="sd"> numerical array whose elements are picked when conditional element is True</span>
<span class="sd"> rhs : af.Array or scalar</span>
<span class="sd"> numerical array whose elements are picked when conditional element is False</span>
<span class="sd"> Returns</span>
<span class="sd"> --------</span>
<span class="sd"> out: af.Array</span>
<span class="sd"> An array containing elements from `lhs` when `cond` is True and `rhs` when False.</span>
<span class="sd"> Examples</span>
<span class="sd"> ---------</span>
<span class="sd"> >>> import arrayfire as af</span>
<span class="sd"> >>> a = af.randu(3,3)</span>
<span class="sd"> >>> b = af.randu(3,3)</span>
<span class="sd"> >>> cond = a > b</span>
<span class="sd"> >>> res = af.select(cond, a, b)</span>
<span class="sd"> >>> af.display(a)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.4107 0.1794 0.3775</span>
<span class="sd"> 0.8224 0.4198 0.3027</span>
<span class="sd"> 0.9518 0.0081 0.6456</span>
<span class="sd"> >>> af.display(b)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.7269 0.3569 0.3341</span>
<span class="sd"> 0.7104 0.1437 0.0899</span>
<span class="sd"> 0.5201 0.4563 0.5363</span>
<span class="sd"> >>> af.display(res)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.7269 0.3569 0.3775</span>
<span class="sd"> 0.8224 0.4198 0.3027</span>
<span class="sd"> 0.9518 0.4563 0.6456</span>
<span class="sd"> """</span>
<span class="n">out</span> <span class="o">=</span> <span class="n">Array</span><span class="p">()</span>
<span class="n">is_left_array</span> <span class="o">=</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">lhs</span><span class="p">,</span> <span class="n">Array</span><span class="p">)</span>
<span class="n">is_right_array</span> <span class="o">=</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">rhs</span><span class="p">,</span> <span class="n">Array</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="p">(</span><span class="n">is_left_array</span> <span class="ow">or</span> <span class="n">is_right_array</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"Atleast one input needs to be of type arrayfire.array"</span><span class="p">)</span>
<span class="k">elif</span> <span class="p">(</span><span class="n">is_left_array</span> <span class="ow">and</span> <span class="n">is_right_array</span><span class="p">):</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_select</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">cond</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">lhs</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">rhs</span><span class="o">.</span><span class="n">arr</span><span class="p">))</span>
<span class="k">elif</span> <span class="p">(</span><span class="n">_is_number</span><span class="p">(</span><span class="n">rhs</span><span class="p">)):</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_select_scalar_r</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">cond</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">lhs</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">c_double</span><span class="p">(</span><span class="n">rhs</span><span class="p">)))</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_select_scalar_l</span><span class="p">(</span><span class="n">ct</span><span class="o">.</span><span class="n">pointer</span><span class="p">(</span><span class="n">out</span><span class="o">.</span><span class="n">arr</span><span class="p">),</span> <span class="n">cond</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">c_double</span><span class="p">(</span><span class="n">lhs</span><span class="p">),</span> <span class="n">rhs</span><span class="o">.</span><span class="n">arr</span><span class="p">))</span>
<span class="k">return</span> <span class="n">out</span></div>
<div class="viewcode-block" id="replace"><a class="viewcode-back" href="../../arrayfire.data.html#arrayfire.data.replace">[docs]</a><span class="k">def</span> <span class="nf">replace</span><span class="p">(</span><span class="n">lhs</span><span class="p">,</span> <span class="n">cond</span><span class="p">,</span> <span class="n">rhs</span><span class="p">):</span>
<span class="sd">"""</span>
<span class="sd"> Select elements from one of two arrays based on condition.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
<span class="sd"> lhs : af.Array or scalar</span>
<span class="sd"> numerical array whose elements are replaced with `rhs` when conditional element is False</span>
<span class="sd"> cond : af.Array</span>
<span class="sd"> Conditional array</span>
<span class="sd"> rhs : af.Array or scalar</span>
<span class="sd"> numerical array whose elements are picked when conditional element is False</span>
<span class="sd"> Examples</span>
<span class="sd"> ---------</span>
<span class="sd"> >>> import arrayfire as af</span>
<span class="sd"> >>> a = af.randu(3,3)</span>
<span class="sd"> >>> af.display(a)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.4107 0.1794 0.3775</span>
<span class="sd"> 0.8224 0.4198 0.3027</span>
<span class="sd"> 0.9518 0.0081 0.6456</span>
<span class="sd"> >>> cond = (a >= 0.25) & (a <= 0.75)</span>
<span class="sd"> >>> af.display(cond)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 1 0 1</span>
<span class="sd"> 0 1 1</span>
<span class="sd"> 0 0 1</span>
<span class="sd"> >>> af.replace(a, cond, 0.3333)</span>
<span class="sd"> >>> af.display(a)</span>
<span class="sd"> [3 3 1 1]</span>
<span class="sd"> 0.3333 0.1794 0.3333</span>
<span class="sd"> 0.8224 0.3333 0.3333</span>
<span class="sd"> 0.9518 0.0081 0.3333</span>
<span class="sd"> """</span>
<span class="n">is_right_array</span> <span class="o">=</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">rhs</span><span class="p">,</span> <span class="n">Array</span><span class="p">)</span>
<span class="k">if</span> <span class="p">(</span><span class="n">is_right_array</span><span class="p">):</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_replace</span><span class="p">(</span><span class="n">lhs</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">cond</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">rhs</span><span class="o">.</span><span class="n">arr</span><span class="p">))</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">safe_call</span><span class="p">(</span><span class="n">backend</span><span class="o">.</span><span class="n">get</span><span class="p">()</span><span class="o">.</span><span class="n">af_replace_scalar</span><span class="p">(</span><span class="n">lhs</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">cond</span><span class="o">.</span><span class="n">arr</span><span class="p">,</span> <span class="n">ct</span><span class="o">.</span><span class="n">c_double</span><span class="p">(</span><span class="n">rhs</span><span class="p">)))</span></div>
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