[GH-PAGES] Updated website
Before Width: | Height: | Size: 25 KiB After Width: | Height: | Size: 25 KiB |
Before Width: | Height: | Size: 16 KiB After Width: | Height: | Size: 16 KiB |
Before Width: | Height: | Size: 38 KiB After Width: | Height: | Size: 37 KiB |
Before Width: | Height: | Size: 24 KiB After Width: | Height: | Size: 24 KiB |
Before Width: | Height: | Size: 56 KiB After Width: | Height: | Size: 58 KiB |
Before Width: | Height: | Size: 33 KiB After Width: | Height: | Size: 33 KiB |
@@ -254,7 +254,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
|
||||
|
||||
.. rst-class:: sphx-glr-timing
|
||||
|
||||
**Total running time of the script:** ( 1 minutes 57.155 seconds)
|
||||
**Total running time of the script:** ( 1 minutes 51.444 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
|
||||
|
@@ -286,17 +286,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
|
||||
|
||||
softmax-performance:
|
||||
N Triton Torch (native) Torch (jit)
|
||||
0 256.0 512.000001 546.133347 186.181817
|
||||
1 384.0 585.142862 585.142862 151.703707
|
||||
2 512.0 630.153853 585.142849 154.566038
|
||||
0 256.0 512.000001 546.133347 188.321838
|
||||
1 384.0 585.142862 585.142862 153.600004
|
||||
2 512.0 630.153853 606.814814 154.566038
|
||||
3 640.0 682.666684 640.000002 160.000000
|
||||
4 768.0 702.171410 664.216187 162.754967
|
||||
.. ... ... ... ...
|
||||
93 12160.0 810.666687 405.755985 198.834951
|
||||
94 12288.0 812.429770 415.222812 199.096718
|
||||
95 12416.0 809.189387 411.296057 198.655991
|
||||
96 12544.0 807.661970 412.971190 199.012395
|
||||
97 12672.0 807.776923 412.097543 199.069228
|
||||
93 12160.0 810.666687 405.755985 199.140227
|
||||
94 12288.0 810.754644 415.661740 199.399583
|
||||
95 12416.0 807.544681 411.722274 198.954424
|
||||
96 12544.0 807.661970 412.971190 199.209928
|
||||
97 12672.0 807.776923 412.097543 199.264875
|
||||
|
||||
[98 rows x 4 columns]
|
||||
|
||||
@@ -314,7 +314,7 @@ In the above plot, we can see that:
|
||||
|
||||
.. rst-class:: sphx-glr-timing
|
||||
|
||||
**Total running time of the script:** ( 3 minutes 31.704 seconds)
|
||||
**Total running time of the script:** ( 3 minutes 27.932 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
|
||||
|
@@ -462,37 +462,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
||||
|
||||
matmul-performance:
|
||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||
0 256.0 2.978909 ... 3.276800 2.978909
|
||||
0 256.0 2.730667 ... 2.978909 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 8.507077
|
||||
2 512.0 14.563555 ... 16.384000 16.384000
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 32.768000 ... 34.028308 34.028308
|
||||
5 896.0 37.971025 ... 40.140799 39.025776
|
||||
5 896.0 39.025776 ... 39.025776 39.025776
|
||||
6 1024.0 49.932191 ... 53.773130 52.428801
|
||||
7 1152.0 44.566925 ... 46.656000 45.938215
|
||||
8 1280.0 51.200001 ... 56.109587 56.109587
|
||||
9 1408.0 64.138541 ... 66.485074 65.684049
|
||||
7 1152.0 45.242181 ... 46.656000 46.656000
|
||||
8 1280.0 51.200001 ... 56.888887 56.109587
|
||||
9 1408.0 64.138541 ... 67.305878 65.684049
|
||||
10 1536.0 80.430545 ... 78.643199 78.643199
|
||||
11 1664.0 62.929456 ... 62.492442 61.636381
|
||||
12 1792.0 72.983276 ... 72.047592 71.588687
|
||||
13 1920.0 69.120002 ... 70.530615 70.530615
|
||||
11 1664.0 62.929456 ... 62.492442 62.492442
|
||||
12 1792.0 72.983276 ... 72.512412 72.047592
|
||||
13 1920.0 69.467336 ... 70.530615 70.172588
|
||||
14 2048.0 73.908442 ... 76.959706 76.608294
|
||||
15 2176.0 83.500614 ... 86.367588 85.998493
|
||||
16 2304.0 68.446623 ... 77.307030 76.563695
|
||||
17 2432.0 71.305746 ... 85.653855 85.393507
|
||||
18 2560.0 78.019048 ... 81.512437 80.908642
|
||||
19 2688.0 83.737433 ... 89.464755 89.888756
|
||||
20 2816.0 83.873477 ... 83.712490 83.712490
|
||||
21 2944.0 83.060049 ... 82.373605 82.921853
|
||||
22 3072.0 80.430545 ... 88.890270 88.335577
|
||||
23 3200.0 84.210524 ... 95.522391 94.395283
|
||||
24 3328.0 84.101981 ... 84.695641 85.045833
|
||||
25 3456.0 82.688790 ... 88.595129 89.281913
|
||||
26 3584.0 87.381330 ... 99.134944 92.410473
|
||||
27 3712.0 85.019017 ... 83.213118 88.640059
|
||||
28 3840.0 81.677994 ... 86.197974 91.172297
|
||||
29 3968.0 86.053553 ... 91.403695 84.974886
|
||||
30 4096.0 93.401342 ... 91.428970 86.313653
|
||||
15 2176.0 83.155572 ... 85.998493 85.998493
|
||||
16 2304.0 68.251065 ... 77.057651 77.057651
|
||||
17 2432.0 71.305746 ... 74.719317 85.393507
|
||||
18 2560.0 78.019048 ... 81.512437 80.511054
|
||||
19 2688.0 83.922689 ... 89.044730 88.836198
|
||||
20 2816.0 80.394854 ... 83.712490 83.712490
|
||||
21 2944.0 82.509987 ... 82.237674 83.060049
|
||||
22 3072.0 81.005868 ... 89.310890 88.335577
|
||||
23 3200.0 83.769634 ... 94.814812 95.380032
|
||||
24 3328.0 83.226931 ... 84.200347 84.200347
|
||||
25 3456.0 81.724858 ... 91.046379 85.585527
|
||||
26 3584.0 86.540320 ... 91.563533 96.579370
|
||||
27 3712.0 85.748791 ... 88.326564 88.170647
|
||||
28 3840.0 82.592983 ... 88.191387 91.247522
|
||||
29 3968.0 86.112380 ... 91.747320 83.865247
|
||||
30 4096.0 93.466385 ... 91.898475 88.301134
|
||||
|
||||
[31 rows x 5 columns]
|
||||
|
||||
@@ -502,7 +502,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
||||
|
||||
.. rst-class:: sphx-glr-timing
|
||||
|
||||
**Total running time of the script:** ( 6 minutes 18.778 seconds)
|
||||
**Total running time of the script:** ( 6 minutes 27.531 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||
|
@@ -238,7 +238,7 @@ References
|
||||
|
||||
.. rst-class:: sphx-glr-timing
|
||||
|
||||
**Total running time of the script:** ( 0 minutes 0.426 seconds)
|
||||
**Total running time of the script:** ( 0 minutes 0.306 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:
|
||||
|
@@ -5,14 +5,14 @@
|
||||
|
||||
Computation times
|
||||
=================
|
||||
**11:48.062** total execution time for **getting-started_tutorials** files:
|
||||
**11:47.213** total execution time for **getting-started_tutorials** files:
|
||||
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:18.778 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:27.531 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:31.704 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:27.932 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:57.155 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:51.444 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.426 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.306 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
|
@@ -338,7 +338,7 @@ for different problem sizes.</p>
|
||||
15 134217728.0 849.737435 850.656574
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 57.155 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 51.444 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-01-vector-add-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<p><a class="reference download internal" download="" href="../../_downloads/62d97d49a32414049819dd8bb8378080/01-vector-add.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">01-vector-add.py</span></code></a></p>
|
||||
|
@@ -373,17 +373,17 @@ We will then compare its performance against (1) <code class="code docutils lite
|
||||
<p class="sphx-glr-script-out">Out:</p>
|
||||
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
|
||||
N Triton Torch (native) Torch (jit)
|
||||
0 256.0 512.000001 546.133347 186.181817
|
||||
1 384.0 585.142862 585.142862 151.703707
|
||||
2 512.0 630.153853 585.142849 154.566038
|
||||
0 256.0 512.000001 546.133347 188.321838
|
||||
1 384.0 585.142862 585.142862 153.600004
|
||||
2 512.0 630.153853 606.814814 154.566038
|
||||
3 640.0 682.666684 640.000002 160.000000
|
||||
4 768.0 702.171410 664.216187 162.754967
|
||||
.. ... ... ... ...
|
||||
93 12160.0 810.666687 405.755985 198.834951
|
||||
94 12288.0 812.429770 415.222812 199.096718
|
||||
95 12416.0 809.189387 411.296057 198.655991
|
||||
96 12544.0 807.661970 412.971190 199.012395
|
||||
97 12672.0 807.776923 412.097543 199.069228
|
||||
93 12160.0 810.666687 405.755985 199.140227
|
||||
94 12288.0 810.754644 415.661740 199.399583
|
||||
95 12416.0 807.544681 411.722274 198.954424
|
||||
96 12544.0 807.661970 412.971190 199.209928
|
||||
97 12672.0 807.776923 412.097543 199.264875
|
||||
|
||||
[98 rows x 4 columns]
|
||||
</pre></div>
|
||||
@@ -396,7 +396,7 @@ We will then compare its performance against (1) <code class="code docutils lite
|
||||
Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
|
||||
</ul>
|
||||
</div></blockquote>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 31.704 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 27.932 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<p><a class="reference download internal" download="" href="../../_downloads/d91442ac2982c4e0cc3ab0f43534afbc/02-fused-softmax.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">02-fused-softmax.py</span></code></a></p>
|
||||
|
@@ -567,42 +567,42 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
||||
<p class="sphx-glr-script-out">Out:</p>
|
||||
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
|
||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||
0 256.0 2.978909 ... 3.276800 2.978909
|
||||
0 256.0 2.730667 ... 2.978909 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 8.507077
|
||||
2 512.0 14.563555 ... 16.384000 16.384000
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 32.768000 ... 34.028308 34.028308
|
||||
5 896.0 37.971025 ... 40.140799 39.025776
|
||||
5 896.0 39.025776 ... 39.025776 39.025776
|
||||
6 1024.0 49.932191 ... 53.773130 52.428801
|
||||
7 1152.0 44.566925 ... 46.656000 45.938215
|
||||
8 1280.0 51.200001 ... 56.109587 56.109587
|
||||
9 1408.0 64.138541 ... 66.485074 65.684049
|
||||
7 1152.0 45.242181 ... 46.656000 46.656000
|
||||
8 1280.0 51.200001 ... 56.888887 56.109587
|
||||
9 1408.0 64.138541 ... 67.305878 65.684049
|
||||
10 1536.0 80.430545 ... 78.643199 78.643199
|
||||
11 1664.0 62.929456 ... 62.492442 61.636381
|
||||
12 1792.0 72.983276 ... 72.047592 71.588687
|
||||
13 1920.0 69.120002 ... 70.530615 70.530615
|
||||
11 1664.0 62.929456 ... 62.492442 62.492442
|
||||
12 1792.0 72.983276 ... 72.512412 72.047592
|
||||
13 1920.0 69.467336 ... 70.530615 70.172588
|
||||
14 2048.0 73.908442 ... 76.959706 76.608294
|
||||
15 2176.0 83.500614 ... 86.367588 85.998493
|
||||
16 2304.0 68.446623 ... 77.307030 76.563695
|
||||
17 2432.0 71.305746 ... 85.653855 85.393507
|
||||
18 2560.0 78.019048 ... 81.512437 80.908642
|
||||
19 2688.0 83.737433 ... 89.464755 89.888756
|
||||
20 2816.0 83.873477 ... 83.712490 83.712490
|
||||
21 2944.0 83.060049 ... 82.373605 82.921853
|
||||
22 3072.0 80.430545 ... 88.890270 88.335577
|
||||
23 3200.0 84.210524 ... 95.522391 94.395283
|
||||
24 3328.0 84.101981 ... 84.695641 85.045833
|
||||
25 3456.0 82.688790 ... 88.595129 89.281913
|
||||
26 3584.0 87.381330 ... 99.134944 92.410473
|
||||
27 3712.0 85.019017 ... 83.213118 88.640059
|
||||
28 3840.0 81.677994 ... 86.197974 91.172297
|
||||
29 3968.0 86.053553 ... 91.403695 84.974886
|
||||
30 4096.0 93.401342 ... 91.428970 86.313653
|
||||
15 2176.0 83.155572 ... 85.998493 85.998493
|
||||
16 2304.0 68.251065 ... 77.057651 77.057651
|
||||
17 2432.0 71.305746 ... 74.719317 85.393507
|
||||
18 2560.0 78.019048 ... 81.512437 80.511054
|
||||
19 2688.0 83.922689 ... 89.044730 88.836198
|
||||
20 2816.0 80.394854 ... 83.712490 83.712490
|
||||
21 2944.0 82.509987 ... 82.237674 83.060049
|
||||
22 3072.0 81.005868 ... 89.310890 88.335577
|
||||
23 3200.0 83.769634 ... 94.814812 95.380032
|
||||
24 3328.0 83.226931 ... 84.200347 84.200347
|
||||
25 3456.0 81.724858 ... 91.046379 85.585527
|
||||
26 3584.0 86.540320 ... 91.563533 96.579370
|
||||
27 3712.0 85.748791 ... 88.326564 88.170647
|
||||
28 3840.0 82.592983 ... 88.191387 91.247522
|
||||
29 3968.0 86.112380 ... 91.747320 83.865247
|
||||
30 4096.0 93.466385 ... 91.898475 88.301134
|
||||
|
||||
[31 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 18.778 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 27.531 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<p><a class="reference download internal" download="" href="../../_downloads/d5fee5b55a64e47f1b5724ec39adf171/03-matrix-multiplication.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">03-matrix-multiplication.py</span></code></a></p>
|
||||
|
@@ -370,7 +370,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
|
||||
<dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
|
||||
</dd>
|
||||
</dl>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.426 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.306 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-04-low-memory-dropout-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<p><a class="reference download internal" download="" href="../../_downloads/c9aed78977a4c05741d675a38dde3d7d/04-low-memory-dropout.py"><code class="xref download docutils literal notranslate"><span class="pre">Download</span> <span class="pre">Python</span> <span class="pre">source</span> <span class="pre">code:</span> <span class="pre">04-low-memory-dropout.py</span></code></a></p>
|
||||
|
@@ -174,7 +174,7 @@
|
||||
|
||||
<div class="section" id="computation-times">
|
||||
<span id="sphx-glr-getting-started-tutorials-sg-execution-times"></span><h1>Computation times<a class="headerlink" href="#computation-times" title="Permalink to this headline">¶</a></h1>
|
||||
<p><strong>11:48.062</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>11:47.213</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<table class="docutils align-default">
|
||||
<colgroup>
|
||||
<col style="width: 85%" />
|
||||
@@ -183,19 +183,19 @@
|
||||
</colgroup>
|
||||
<tbody>
|
||||
<tr class="row-odd"><td><p><a class="reference internal" href="03-matrix-multiplication.html#sphx-glr-getting-started-tutorials-03-matrix-multiplication-py"><span class="std std-ref">Matrix Multiplication</span></a> (<code class="docutils literal notranslate"><span class="pre">03-matrix-multiplication.py</span></code>)</p></td>
|
||||
<td><p>06:18.778</p></td>
|
||||
<td><p>06:27.531</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-even"><td><p><a class="reference internal" href="02-fused-softmax.html#sphx-glr-getting-started-tutorials-02-fused-softmax-py"><span class="std std-ref">Fused Softmax</span></a> (<code class="docutils literal notranslate"><span class="pre">02-fused-softmax.py</span></code>)</p></td>
|
||||
<td><p>03:31.704</p></td>
|
||||
<td><p>03:27.932</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-odd"><td><p><a class="reference internal" href="01-vector-add.html#sphx-glr-getting-started-tutorials-01-vector-add-py"><span class="std std-ref">Vector Addition</span></a> (<code class="docutils literal notranslate"><span class="pre">01-vector-add.py</span></code>)</p></td>
|
||||
<td><p>01:57.155</p></td>
|
||||
<td><p>01:51.444</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-even"><td><p><a class="reference internal" href="04-low-memory-dropout.html#sphx-glr-getting-started-tutorials-04-low-memory-dropout-py"><span class="std std-ref">Low-Memory Dropout</span></a> (<code class="docutils literal notranslate"><span class="pre">04-low-memory-dropout.py</span></code>)</p></td>
|
||||
<td><p>00:00.426</p></td>
|
||||
<td><p>00:00.306</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
|
@@ -186,7 +186,7 @@
|
||||
<h1>triton.jit<a class="headerlink" href="#triton-jit" title="Permalink to this headline">¶</a></h1>
|
||||
<dl class="py function">
|
||||
<dt class="sig sig-object py" id="triton.jit">
|
||||
<span class="sig-prename descclassname"><span class="pre">triton.</span></span><span class="sig-name descname"><span class="pre">jit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">fn</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#triton.jit" title="Permalink to this definition">¶</a></dt>
|
||||
<span class="sig-prename descclassname"><span class="pre">triton.</span></span><span class="sig-name descname"><span class="pre">jit</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">*</span></span><span class="n"><span class="pre">args</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span><a class="headerlink" href="#triton.jit" title="Permalink to this definition">¶</a></dt>
|
||||
<dd><p>Decorator for JIT-compiling a function using the Triton compiler.</p>
|
||||
<dl class="field-list simple">
|
||||
<dt class="field-odd">Note</dt>
|
||||
|