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<!DOCTYPE html>

<html>

<head>

<title>arrayfire.data module — ArrayFire Python documentation</title>

</head><body>

<h1>arrayfire.data module<a class="headerlink" href="#module-arrayfire.data" title="Permalink to this headline">¶</a></h1>

Functions to create and manipulate arrays.

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">constant</code>(val, d0, d1=None, d2=None, d3=None, dtype=<Dtype.f32: 0>)<a class="reference internal" href="_modules/arrayfire/data.html#constant">[source]</a><a class="headerlink" href="#arrayfire.data.constant" title="Permalink to this definition">¶</a></dt>

<dd>Create a multi dimensional array whose elements contain the same value.

<dt class="field-odd">Parameters</dt>

<dt>valscalar.</dt><dd>Value of each element of the constant array.

</dd>

<dt>d0int.</dt><dd>Length of first dimension.

</dd>

<dt>d1optional: int. default: None.</dt><dd>Length of second dimension.

</dd>

<dt>d2optional: int. default: None.</dt><dd>Length of third dimension.

</dd>

<dt>d3optional: int. default: None.</dt><dd>Length of fourth dimension.

</dd>

<dt>dtypeoptional: af.Dtype. default: af.Dtype.f32.</dt><dd>Data type of the array.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd>Multi dimensional array whose elements are of value <cite>val</cite>.

- If d1 is None, <cite>out</cite> is 1D of size (d0,).

- If d1 is not None and d2 is None, <cite>out</cite> is 2D of size (d0, d1).

- If d1 and d2 are not None and d3 is None, <cite>out</cite> is 3D of size (d0, d1, d2).

- If d1, d2, d3 are all not None, <cite>out</cite> is 4D of size (d0, d1, d2, d3).

</dd>

</dl>

</dd>

</dl>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">diag</code>(a, num=0, extract=True)<a class="reference internal" href="_modules/arrayfire/data.html#diag">[source]</a><a class="headerlink" href="#arrayfire.data.diag" title="Permalink to this definition">¶</a></dt>

<dd>Create a diagonal matrix or Extract the diagonal from a matrix.

<dt class="field-odd">Parameters</dt>

<dt>aaf.Array.</dt><dd>1 dimensional or 2 dimensional arrayfire array.

</dd>

<dt>numoptional: int. default: 0.</dt><dd>The index of the diagonal.

- num == 0 signifies the diagonal.

- num > 0 signifies super diagonals.

- num < 0 signifies sub diagonals.

</dd>

<dt>extractoptional: bool. default: True.</dt><dd><ul class="simple">

<li>If True , diagonal is extracted. <cite>a</cite> has to be 2D.</li>

<li>If False, diagonal matrix is created. <cite>a</cite> has to be 1D.</li>

</ul>

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd><ul class="simple">

<li>if extract is True, <cite>out</cite> contains the num’th diagonal from <cite>a</cite>.</li>

<li>if extract is False, <cite>out</cite> contains <cite>a</cite> as the num’th diagonal.</li>

</ul>

</dd>

</dl>

</dd>

</dl>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">flat</code>(a)<a class="reference internal" href="_modules/arrayfire/data.html#flat">[source]</a><a class="headerlink" href="#arrayfire.data.flat" title="Permalink to this definition">¶</a></dt>

<dd>Flatten the input array.

<dt class="field-odd">Parameters</dt>

<dt>aaf.Array.</dt><dd>Multi dimensional array.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd><ul class="simple">

<li>1 dimensional array containing all the elements from <cite>a</cite>.</li>

</ul>

</dd>

</dl>

</dd>

</dl>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">flip</code>(a, dim=0)<a class="reference internal" href="_modules/arrayfire/data.html#flip">[source]</a><a class="headerlink" href="#arrayfire.data.flip" title="Permalink to this definition">¶</a></dt>

<dd>Flip an array along a dimension.

<dt class="field-odd">Parameters</dt>

<dt>aaf.Array.</dt><dd>Multi dimensional array.

</dd>

<dt>dimoptional: int. default: 0.</dt><dd>The dimension along which the flip is performed.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd>The output after flipping <cite>a</cite> along <cite>dim</cite>.

</dd>

</dl>

</dd>

</dl>

Examples

<div class="doctest highlight-default notranslate"><div class="highlight"><pre>>>> import arrayfire as af

>>> a = af.randu(3, 3)

>>> af.display(a)

[3 3 1 1]

0.7269 0.3569 0.3341

0.7104 0.1437 0.0899

0.5201 0.4563 0.5363

</pre></div>

</div>

<div class="doctest highlight-default notranslate"><div class="highlight"><pre>>>> af.display(b)

[3 3 1 1]

0.5201 0.4563 0.5363

0.7104 0.1437 0.0899

0.7269 0.3569 0.3341

</pre></div>

</div>

[3 3 1 1]

0.3341 0.3569 0.7269

0.0899 0.1437 0.7104

0.5363 0.4563 0.5201

</pre></div>

</div>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">identity</code>(d0, d1, d2=None, d3=None, dtype=<Dtype.f32: 0>)<a class="reference internal" href="_modules/arrayfire/data.html#identity">[source]</a><a class="headerlink" href="#arrayfire.data.identity" title="Permalink to this definition">¶</a></dt>

<dd>Create an identity matrix or batch of identity matrices.

<dt class="field-odd">Parameters</dt>

<dt>d0int.</dt><dd>Length of first dimension.

</dd>

<dt>d1int.</dt><dd>Length of second dimension.

</dd>

<dt>d2optional: int. default: None.</dt><dd>Length of third dimension.

</dd>

<dt>d3optional: int. default: None.</dt><dd>Length of fourth dimension.

</dd>

<dt>dtypeoptional: af.Dtype. default: af.Dtype.f32.</dt><dd>Data type of the array.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd>Multi dimensional array whose first two dimensions form a identity matrix.

- If d2 is None, <cite>out</cite> is 2D of size (d0, d1).

- If d2 is not None and d3 is None, <cite>out</cite> is 3D of size (d0, d1, d2).

- If d2, d3 are not None, <cite>out</cite> is 4D of size (d0, d1, d2, d3).

</dd>

</dl>

</dd>

</dl>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">iota</code>(d0, d1=None, d2=None, d3=None, dim=-1, tile_dims=None, dtype=<Dtype.f32: 0>)<a class="reference internal" href="_modules/arrayfire/data.html#iota">[source]</a><a class="headerlink" href="#arrayfire.data.iota" title="Permalink to this definition">¶</a></dt>

<dd>Create a multi dimensional array using the number of elements in the array as the range.

<dt class="field-odd">Parameters</dt>

<dt>valscalar.</dt><dd>Value of each element of the constant array.

</dd>

<dt>d0int.</dt><dd>Length of first dimension.

</dd>

<dt>d1optional: int. default: None.</dt><dd>Length of second dimension.

</dd>

<dt>d2optional: int. default: None.</dt><dd>Length of third dimension.

</dd>

<dt>d3optional: int. default: None.</dt><dd>Length of fourth dimension.

</dd>

<dt>tile_dimsoptional: tuple of ints. default: None.</dt><dd>The number of times the data is tiled.

</dd>

<dt>dtypeoptional: af.Dtype. default: af.Dtype.f32.</dt><dd>Data type of the array.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd>Multi dimensional array whose elements are along <cite>dim</cite> fall between [0 - self.elements() - 1].

</dd>

</dl>

</dd>

</dl>

Examples

>>> import arrayfire as af

>>> a = af.iota(3,3) # tile_dim is not specified, data is not tiled

>>> af.display(a) # the elements range from [0 - 8] (9 elements)

[3 3 1 1]

0.0000 3.0000 6.0000

1.0000 4.0000 7.0000

2.0000 5.0000 8.0000

</pre></div>

</div>

<div class="doctest highlight-default notranslate"><div class="highlight"><pre>>>> b = af.iota(3,3,tile_dims(1,2)) # Asking to tile along second dimension.

>>> af.display(b)

[3 6 1 1]

0.0000 3.0000 6.0000 0.0000 3.0000 6.0000

1.0000 4.0000 7.0000 1.0000 4.0000 7.0000

2.0000 5.0000 8.0000 2.0000 5.0000 8.0000

</pre></div>

</div>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">join</code>(dim, first, second, third=None, fourth=None)<a class="reference internal" href="_modules/arrayfire/data.html#join">[source]</a><a class="headerlink" href="#arrayfire.data.join" title="Permalink to this definition">¶</a></dt>

<dd>Join two or more arrayfire arrays along a specified dimension.

<dt class="field-odd">Parameters</dt>

<dt>dim: int.</dt><dd>Dimension along which the join occurs.

</dd>

<dt>firstaf.Array.</dt><dd>Multi dimensional arrayfire array.

</dd>

<dt>secondaf.Array.</dt><dd>Multi dimensional arrayfire array.

</dd>

<dt>thirdoptional: af.Array. default: None.</dt><dd>Multi dimensional arrayfire array.

</dd>

<dt>fourthoptional: af.Array. default: None.</dt><dd>Multi dimensional arrayfire array.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd>An array containing the input arrays joined along the specified dimension.

</dd>

</dl>

</dd>

</dl>

Examples

>>> a = af.randu(2, 3)

>>> b = af.randu(2, 3)

>>> c = af.join(0, a, b)

>>> d = af.join(1, a, b)

>>> af.display(a)

[2 3 1 1]

0.9508 0.2591 0.7928

0.5367 0.8359 0.8719

</pre></div>

</div>

[2 3 1 1]

0.3266 0.6009 0.2442

0.6275 0.0495 0.6591

</pre></div>

</div>

[4 3 1 1]

0.9508 0.2591 0.7928

0.5367 0.8359 0.8719

0.3266 0.6009 0.2442

0.6275 0.0495 0.6591

</pre></div>

</div>

[2 6 1 1]

0.9508 0.2591 0.7928 0.3266 0.6009 0.2442

0.5367 0.8359 0.8719 0.6275 0.0495 0.6591

</pre></div>

</div>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">lookup</code>(a, idx, dim=0)<a class="reference internal" href="_modules/arrayfire/data.html#lookup">[source]</a><a class="headerlink" href="#arrayfire.data.lookup" title="Permalink to this definition">¶</a></dt>

<dd>Lookup the values of input array based on index.

<dt class="field-odd">Parameters</dt>

<dt>aaf.Array.</dt><dd>Multi dimensional array.

</dd>

<dt>idxis lookup indices</dt><dd></dd>

<dt>dimoptional: int. default: 0.</dt><dd>Specifies the dimension for indexing

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd>An array containing values at locations specified by ‘idx’

</dd>

</dl>

</dd>

</dl>

Examples

>>> arr = af.Array([1,0,3,4,5,6], (2,3))

>>> af.display(arr)

[2 3 1 1]

1.0000 3.0000 5.0000

0.0000 4.0000 6.0000

</pre></div>

</div>

<div class="doctest highlight-default notranslate"><div class="highlight"><pre>>>> idx = af.array([0, 2])

>>> af.lookup(arr, idx, 1)

[2 2 1 1]

1.0000 5.0000

0.0000 6.0000

</pre></div>

</div>

[2 1 1 1]

0.0000

2.0000

</pre></div>

</div>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">lower</code>(a, is_unit_diag=False)<a class="reference internal" href="_modules/arrayfire/data.html#lower">[source]</a><a class="headerlink" href="#arrayfire.data.lower" title="Permalink to this definition">¶</a></dt>

<dd>Extract the lower triangular matrix from the input.

<dt class="field-odd">Parameters</dt>

<dt>aaf.Array.</dt><dd>Multi dimensional array.

</dd>

<dt>is_unit_diag: optional: bool. default: False.</dt><dd>Flag specifying if the diagonal elements are 1.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd>An array containing the lower triangular elements from <cite>a</cite>.

</dd>

</dl>

</dd>

</dl>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">moddims</code>(a, d0, d1=1, d2=1, d3=1)<a class="reference internal" href="_modules/arrayfire/data.html#moddims">[source]</a><a class="headerlink" href="#arrayfire.data.moddims" title="Permalink to this definition">¶</a></dt>

<dd>Modify the shape of the array without changing the data layout.

<dt class="field-odd">Parameters</dt>

<dt>aaf.Array.</dt><dd>Multi dimensional array.

</dd>

<dt>d0: int.</dt><dd>The first dimension of output.

</dd>

<dt>d1: optional: int. default: 1.</dt><dd>The second dimension of output.

</dd>

<dt>d2: optional: int. default: 1.</dt><dd>The third dimension of output.

</dd>

<dt>d3: optional: int. default: 1.</dt><dd>The fourth dimension of output.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd><ul class="simple">

<li>An containing the same data as <cite>a</cite> with the specified shape.</li>

<li>The number of elements in <cite>a</cite> must match <cite>d0 x d1 x d2 x d3</cite>.</li>

</ul>

</dd>

</dl>

</dd>

</dl>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">pad</code>(a, beginPadding, endPadding, padFillType=<PAD.ZERO: 0>)<a class="reference internal" href="_modules/arrayfire/data.html#pad">[source]</a><a class="headerlink" href="#arrayfire.data.pad" title="Permalink to this definition">¶</a></dt>

<dd>Pad an array

This function will pad an array with the specified border size.

Newly padded values can be filled in several different ways.

<dt class="field-odd">Parameters</dt>

<dt>a: af.Array</dt><dd>A multi dimensional input arrayfire array.

</dd>

<dt>beginPadding: tuple of ints. default: (0, 0, 0, 0).</dt><dd></dd>

<dt>endPadding: tuple of ints. default: (0, 0, 0, 0).</dt><dd></dd>

<dt>padFillType: optional af.PAD default: af.PAD.ZERO</dt><dd>specifies type of values to fill padded border with

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>output: af.Array</dt><dd>A padded array

</dd>

</dl>

</dd>

</dl>

Examples

>>> af.display(a)

[3 3 1 1]

0.4107 0.1794 0.3775

0.8224 0.4198 0.3027

0.9518 0.0081 0.6456

</pre></div>

</div>

<div class="doctest highlight-default notranslate"><div class="highlight"><pre>>>> padded = af.pad(a, (1, 1), (1, 1), af.ZERO)

>>> af.display(padded)

[5 5 1 1]

0.0000 0.0000 0.0000 0.0000 0.0000

0.0000 0.4107 0.1794 0.3775 0.0000

0.0000 0.8224 0.4198 0.3027 0.0000

0.0000 0.9518 0.0081 0.6456 0.0000

0.0000 0.0000 0.0000 0.0000 0.0000

</pre></div>

</div>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">range</code>(d0, d1=None, d2=None, d3=None, dim=0, dtype=<Dtype.f32: 0>)<a class="reference internal" href="_modules/arrayfire/data.html#range">[source]</a><a class="headerlink" href="#arrayfire.data.range" title="Permalink to this definition">¶</a></dt>

<dd>Create a multi dimensional array using length of a dimension as range.

<dt class="field-odd">Parameters</dt>

<dt>valscalar.</dt><dd>Value of each element of the constant array.

</dd>

<dt>d0int.</dt><dd>Length of first dimension.

</dd>

<dt>d1optional: int. default: None.</dt><dd>Length of second dimension.

</dd>

<dt>d2optional: int. default: None.</dt><dd>Length of third dimension.

</dd>

<dt>d3optional: int. default: None.</dt><dd>Length of fourth dimension.

</dd>

<dt>dimoptional: int. default: 0.</dt><dd>The dimension along which the range is calculated.

</dd>

<dt>dtypeoptional: af.Dtype. default: af.Dtype.f32.</dt><dd>Data type of the array.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd>Multi dimensional array whose elements are along <cite>dim</cite> fall between [0 - self.dims[dim]-1]

- If d1 is None, <cite>out</cite> is 1D of size (d0,).

- If d1 is not None and d2 is None, <cite>out</cite> is 2D of size (d0, d1).

- If d1 and d2 are not None and d3 is None, <cite>out</cite> is 3D of size (d0, d1, d2).

- If d1, d2, d3 are all not None, <cite>out</cite> is 4D of size (d0, d1, d2, d3).

</dd>

</dl>

</dd>

</dl>

Examples

>>> a = af.range(3, 2) # dim is not specified, range is along first dimension.

>>> af.display(a) # The data ranges from [0 - 2] (3 elements along first dimension)

[3 2 1 1]

0.0000 0.0000

1.0000 1.0000

2.0000 2.0000

</pre></div>

</div>

<div class="doctest highlight-default notranslate"><div class="highlight"><pre>>>> a = af.range(3, 2, dim=1) # dim is 1, range is along second dimension.

>>> af.display(a) # The data ranges from [0 - 1] (2 elements along second dimension)

[3 2 1 1]

0.0000 1.0000

</pre></div>

</div>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">reorder</code>(a, d0=1, d1=0, d2=2, d3=3)<a class="reference internal" href="_modules/arrayfire/data.html#reorder">[source]</a><a class="headerlink" href="#arrayfire.data.reorder" title="Permalink to this definition">¶</a></dt>

<dd>Reorder the dimensions of the input.

<dt class="field-odd">Parameters</dt>

<dt>aaf.Array.</dt><dd>Multi dimensional array.

</dd>

<dt>d0: optional: int. default: 1.</dt><dd>The location of the first dimension in the output.

</dd>

<dt>d1: optional: int. default: 0.</dt><dd>The location of the second dimension in the output.

</dd>

<dt>d2: optional: int. default: 2.</dt><dd>The location of the third dimension in the output.

</dd>

<dt>d3: optional: int. default: 3.</dt><dd>The location of the fourth dimension in the output.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd><ul class="simple">

<li>An array containing the input aftern reordering its dimensions.</li>

</ul>

</dd>

</dl>

</dd>

</dl>

Examples

>>> a = af.randu(5, 5, 3)

>>> af.display(a)

[5 5 3 1]

0.4107 0.0081 0.6600 0.1046 0.8395

0.8224 0.3775 0.0764 0.8827 0.1933

0.9518 0.3027 0.0901 0.1647 0.7270

0.1794 0.6456 0.5933 0.8060 0.0322

0.4198 0.5591 0.1098 0.5938 0.0012

</pre></div>

</div>

<div>0.8703 0.9250 0.4387 0.6530 0.4224

0.5259 0.3063 0.3784 0.5476 0.5293

0.1443 0.9313 0.4002 0.8577 0.0212

0.3253 0.8684 0.4390 0.8370 0.1103

0.5081 0.6592 0.4718 0.0618 0.4420

0.8355 0.6767 0.1033 0.9426 0.9276

0.4878 0.6742 0.2119 0.4817 0.8662

0.2055 0.4523 0.5955 0.9097 0.3578

0.1794 0.1236 0.3745 0.6821 0.6263

0.5606 0.7924 0.9165 0.6056 0.9747

</div></blockquote>

<div class="doctest highlight-default notranslate"><div class="highlight"><pre>>>> b = af.reorder(a, 2, 0, 1)

>>> af.display(b)

[3 5 5 1]

0.4107 0.8224 0.9518 0.1794 0.4198

0.8703 0.5259 0.1443 0.3253 0.5081

0.8355 0.4878 0.2055 0.1794 0.5606

</pre></div>

</div>

<div>0.0081 0.3775 0.3027 0.6456 0.5591

0.9250 0.3063 0.9313 0.8684 0.6592

0.6767 0.6742 0.4523 0.1236 0.7924

0.6600 0.0764 0.0901 0.5933 0.1098

0.4387 0.3784 0.4002 0.4390 0.4718

0.1033 0.2119 0.5955 0.3745 0.9165

0.1046 0.8827 0.1647 0.8060 0.5938

0.6530 0.5476 0.8577 0.8370 0.0618

0.9426 0.4817 0.9097 0.6821 0.6056

0.8395 0.1933 0.7270 0.0322 0.0012

0.4224 0.5293 0.0212 0.1103 0.4420

0.9276 0.8662 0.3578 0.6263 0.9747

</div></blockquote>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">replace</code>(lhs, cond, rhs)<a class="reference internal" href="_modules/arrayfire/data.html#replace">[source]</a><a class="headerlink" href="#arrayfire.data.replace" title="Permalink to this definition">¶</a></dt>

<dd>Select elements from one of two arrays based on condition.

<dt class="field-odd">Parameters</dt>

<dt>lhsaf.Array or scalar</dt><dd>numerical array whose elements are replaced with <cite>rhs</cite> when conditional element is False

</dd>

<dt>condaf.Array</dt><dd>Conditional array

</dd>

<dt>rhsaf.Array or scalar</dt><dd>numerical array whose elements are picked when conditional element is False

</dd>

</dl>

</dd>

</dl>

Examples

>>> af.display(a)

[3 3 1 1]

0.4107 0.1794 0.3775

0.8224 0.4198 0.3027

0.9518 0.0081 0.6456

</pre></div>

</div>

<div class="doctest highlight-default notranslate"><div class="highlight"><pre>>>> cond = (a >= 0.25) & (a <= 0.75)

>>> af.display(cond)

[3 3 1 1]

1 0 1

0 1 1

0 0 1

</pre></div>

</div>

<div class="doctest highlight-default notranslate"><div class="highlight"><pre>>>> af.replace(a, cond, 0.3333)

>>> af.display(a)

[3 3 1 1]

0.3333 0.1794 0.3333

0.8224 0.3333 0.3333

0.9518 0.0081 0.3333

</pre></div>

</div>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">select</code>(cond, lhs, rhs)<a class="reference internal" href="_modules/arrayfire/data.html#select">[source]</a><a class="headerlink" href="#arrayfire.data.select" title="Permalink to this definition">¶</a></dt>

<dd>Select elements from one of two arrays based on condition.

<dt class="field-odd">Parameters</dt>

<dt>condaf.Array</dt><dd>Conditional array

</dd>

<dt>lhsaf.Array or scalar</dt><dd>numerical array whose elements are picked when conditional element is True

</dd>

<dt>rhsaf.Array or scalar</dt><dd>numerical array whose elements are picked when conditional element is False

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>out: af.Array</dt><dd>An array containing elements from <cite>lhs</cite> when <cite>cond</cite> is True and <cite>rhs</cite> when False.

</dd>

</dl>

</dd>

</dl>

Examples

>>> b = af.randu(3,3)

>>> cond = a > b

>>> res = af.select(cond, a, b)

</pre></div>

</div>

[3 3 1 1]

0.4107 0.1794 0.3775

0.8224 0.4198 0.3027

0.9518 0.0081 0.6456

</pre></div>

</div>

[3 3 1 1]

0.7269 0.3569 0.3341

0.7104 0.1437 0.0899

0.5201 0.4563 0.5363

</pre></div>

</div>

[3 3 1 1]

0.7269 0.3569 0.3775

0.8224 0.4198 0.3027

0.9518 0.4563 0.6456

</pre></div>

</div>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">shift</code>(a, d0, d1=0, d2=0, d3=0)<a class="reference internal" href="_modules/arrayfire/data.html#shift">[source]</a><a class="headerlink" href="#arrayfire.data.shift" title="Permalink to this definition">¶</a></dt>

<dd>Shift the input along each dimension.

<dt class="field-odd">Parameters</dt>

<dt>aaf.Array.</dt><dd>Multi dimensional array.

</dd>

<dt>d0: int.</dt><dd>The amount of shift along first dimension.

</dd>

<dt>d1: optional: int. default: 0.</dt><dd>The amount of shift along second dimension.

</dd>

<dt>d2: optional: int. default: 0.</dt><dd>The amount of shift along third dimension.

</dd>

<dt>d3: optional: int. default: 0.</dt><dd>The amount of shift along fourth dimension.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd><ul class="simple">

<li>An array the same shape as <cite>a</cite> after shifting it by the specified amounts.</li>

</ul>

</dd>

</dl>

</dd>

</dl>

Examples

>>> b = af.shift(a, 2)

>>> c = af.shift(a, 1, -1)

>>> af.display(a)

[3 3 1 1]

0.7269 0.3569 0.3341

0.7104 0.1437 0.0899

0.5201 0.4563 0.5363

</pre></div>

</div>

[3 3 1 1]

0.7104 0.1437 0.0899

0.5201 0.4563 0.5363

0.7269 0.3569 0.3341

</pre></div>

</div>

[3 3 1 1]

0.4563 0.5363 0.5201

0.3569 0.3341 0.7269

0.1437 0.0899 0.7104

</pre></div>

</div>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">tile</code>(a, d0, d1=1, d2=1, d3=1)<a class="reference internal" href="_modules/arrayfire/data.html#tile">[source]</a><a class="headerlink" href="#arrayfire.data.tile" title="Permalink to this definition">¶</a></dt>

<dd>Tile an array along specified dimensions.

<dt class="field-odd">Parameters</dt>

<dt>aaf.Array.</dt><dd>Multi dimensional array.

</dd>

<dt>d0: int.</dt><dd>The number of times <cite>a</cite> has to be tiled along first dimension.

</dd>

<dt>d1: optional: int. default: 1.</dt><dd>The number of times <cite>a</cite> has to be tiled along second dimension.

</dd>

<dt>d2: optional: int. default: 1.</dt><dd>The number of times <cite>a</cite> has to be tiled along third dimension.

</dd>

<dt>d3: optional: int. default: 1.</dt><dd>The number of times <cite>a</cite> has to be tiled along fourth dimension.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd>An array containing the input after tiling the the specified number of times.

</dd>

</dl>

</dd>

</dl>

Examples

>>> a = af.randu(2, 3)

>>> b = af.tile(a, 2)

>>> c = af.tile(a, 1, 2)

>>> d = af.tile(a, 2, 2)

>>> af.display(a)

[2 3 1 1]

0.9508 0.2591 0.7928

0.5367 0.8359 0.8719

</pre></div>

</div>

[4 3 1 1]

0.4107 0.9518 0.4198

0.8224 0.1794 0.0081

0.4107 0.9518 0.4198

0.8224 0.1794 0.0081

</pre></div>

</div>

[2 6 1 1]

0.4107 0.9518 0.4198 0.4107 0.9518 0.4198

0.8224 0.1794 0.0081 0.8224 0.1794 0.0081

</pre></div>

</div>

[4 6 1 1]

0.4107 0.9518 0.4198 0.4107 0.9518 0.4198

0.8224 0.1794 0.0081 0.8224 0.1794 0.0081

0.4107 0.9518 0.4198 0.4107 0.9518 0.4198

0.8224 0.1794 0.0081 0.8224 0.1794 0.0081

</pre></div>

</div>

</dd></dl>

<code class="sig-prename descclassname">arrayfire.data.</code><code class="sig-name descname">upper</code>(a, is_unit_diag=False)<a class="reference internal" href="_modules/arrayfire/data.html#upper">[source]</a><a class="headerlink" href="#arrayfire.data.upper" title="Permalink to this definition">¶</a></dt>

<dd>Extract the upper triangular matrix from the input.

<dt class="field-odd">Parameters</dt>

<dt>aaf.Array.</dt><dd>Multi dimensional array.

</dd>

<dt>is_unit_diag: optional: bool. default: False.</dt><dd>Flag specifying if the diagonal elements are 1.

</dd>

</dl>

</dd>

<dt class="field-even">Returns</dt>

<dt>outaf.Array</dt><dd>An array containing the upper triangular elements from <cite>a</cite>.

</dd>

</dl>

</dd>

</dl>

</dd></dl>

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