[GH-PAGES] Updated website
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@@ -255,7 +255,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 1 minutes 35.982 seconds)
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**Total running time of the script:** ( 1 minutes 47.631 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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softmax-performance:
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N Triton Torch (native) Torch (jit)
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[98 rows x 4 columns]
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@@ -306,7 +306,7 @@ In the above plot, we can see that:
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 3 minutes 22.112 seconds)
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**Total running time of the script:** ( 3 minutes 25.662 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -459,37 +459,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
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|
||||
matmul-performance:
|
||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||
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[31 rows x 5 columns]
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@@ -499,7 +499,7 @@ 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 4.630 seconds)
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**Total running time of the script:** ( 6 minutes 6.317 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||
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@@ -38,23 +38,23 @@ Layer Normalization
|
||||
|
||||
layer-norm:
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N Triton Torch Apex
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|
||||
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|
||||
@@ -62,12 +62,12 @@ Layer Normalization
|
||||
21 11776.0 523.377770 409.599991 377.587162
|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
29 15872.0 447.887117 406.974373 376.225175
|
||||
|
||||
|
||||
|
||||
@@ -389,7 +389,7 @@ Layer Normalization
|
||||
|
||||
.. rst-class:: sphx-glr-timing
|
||||
|
||||
**Total running time of the script:** ( 5 minutes 19.895 seconds)
|
||||
**Total running time of the script:** ( 5 minutes 10.415 seconds)
|
||||
|
||||
|
||||
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
|
||||
|
@@ -5,16 +5,16 @@
|
||||
|
||||
Computation times
|
||||
=================
|
||||
**16:23.119** total execution time for **getting-started_tutorials** files:
|
||||
**16:30.525** total execution time for **getting-started_tutorials** files:
|
||||
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:04.630 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:06.317 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:19.895 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:10.415 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.112 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:25.662 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:35.982 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:47.631 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.500 | 0.0 MB |
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||
|
@@ -331,16 +331,16 @@ for different problem sizes.</p>
|
||||
6 262144.0 341.333321 341.333321
|
||||
7 524288.0 472.615390 472.615390
|
||||
8 1048576.0 614.400016 614.400016
|
||||
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|
||||
9 2097152.0 722.823517 722.823517
|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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 35.982 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 47.631 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>
|
||||
|
@@ -369,17 +369,17 @@ 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 512.000001 188.321838
|
||||
0 256.0 546.133347 512.000001 186.181817
|
||||
1 384.0 614.400016 585.142862 153.600004
|
||||
2 512.0 655.360017 585.142849 154.566038
|
||||
3 640.0 706.206879 640.000002 160.000000
|
||||
4 768.0 722.823517 664.216187 162.754967
|
||||
.. ... ... ... ...
|
||||
93 12160.0 812.359066 406.179533 198.631953
|
||||
94 12288.0 812.429770 415.661740 198.995960
|
||||
95 12416.0 812.498981 411.722274 198.556711
|
||||
96 12544.0 812.566838 412.971190 198.815254
|
||||
97 12672.0 811.007961 412.097543 198.971549
|
||||
93 12160.0 812.359066 406.179533 199.038365
|
||||
94 12288.0 812.429770 415.661740 199.298541
|
||||
95 12416.0 812.498981 412.149375 198.954424
|
||||
96 12544.0 812.566838 412.971190 199.160520
|
||||
97 12672.0 812.633240 412.097543 199.264875
|
||||
|
||||
[98 rows x 4 columns]
|
||||
</pre></div>
|
||||
@@ -392,7 +392,7 @@ 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 22.112 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 25.662 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>
|
||||
|
@@ -565,42 +565,42 @@ 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 2.730667 ... 2.978909 2.978909
|
||||
1 384.0 7.372800 ... 7.899428 7.899428
|
||||
2 512.0 14.563555 ... 15.420235 15.420235
|
||||
0 256.0 2.730667 ... 3.276800 3.276800
|
||||
1 384.0 7.372800 ... 7.899428 8.507077
|
||||
2 512.0 14.563555 ... 15.420235 16.384000
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 32.768000 ... 34.028308 34.028308
|
||||
5 896.0 39.025776 ... 40.140799 39.025776
|
||||
5 896.0 37.971025 ... 40.140799 39.025776
|
||||
6 1024.0 49.932191 ... 53.773130 52.428801
|
||||
7 1152.0 45.242181 ... 48.161033 47.396572
|
||||
8 1280.0 51.200001 ... 57.690139 57.690139
|
||||
9 1408.0 64.138541 ... 68.147202 66.485074
|
||||
10 1536.0 79.526831 ... 80.430545 79.526831
|
||||
11 1664.0 62.929456 ... 63.372618 62.492442
|
||||
10 1536.0 80.430545 ... 81.355034 78.643199
|
||||
11 1664.0 63.372618 ... 63.372618 62.492442
|
||||
12 1792.0 72.983276 ... 73.460287 59.467852
|
||||
13 1920.0 68.776119 ... 71.257735 70.892307
|
||||
14 2048.0 73.262953 ... 78.033565 76.959706
|
||||
15 2176.0 83.155572 ... 87.494120 85.998493
|
||||
16 2304.0 68.446623 ... 78.064941 77.057651
|
||||
17 2432.0 71.125224 ... 86.711310 75.118889
|
||||
18 2560.0 77.833728 ... 82.956960 81.715711
|
||||
19 2688.0 83.737433 ... 90.748936 89.254248
|
||||
20 2816.0 80.916902 ... 85.017948 83.074685
|
||||
21 2944.0 80.510553 ... 83.060049 82.509987
|
||||
22 3072.0 80.316458 ... 89.735509 89.310890
|
||||
23 3200.0 83.769634 ... 95.952022 95.522391
|
||||
24 3328.0 83.226931 ... 85.398926 84.795401
|
||||
25 3456.0 82.519518 ... 92.455926 87.632137
|
||||
26 3584.0 87.381330 ... 98.483450 97.840469
|
||||
27 3712.0 84.159518 ... 88.797643 87.437503
|
||||
28 3840.0 80.901241 ... 92.006659 89.187096
|
||||
29 3968.0 88.040360 ... 86.144680 89.921841
|
||||
30 4096.0 91.025923 ... 93.760204 87.438257
|
||||
15 2176.0 83.155572 ... 87.494120 85.632545
|
||||
16 2304.0 68.251065 ... 78.064941 77.307030
|
||||
17 2432.0 71.487187 ... 86.711310 74.918570
|
||||
18 2560.0 77.833728 ... 82.331658 81.512437
|
||||
19 2688.0 84.015627 ... 89.888756 89.464755
|
||||
20 2816.0 84.035084 ... 84.852542 83.233226
|
||||
21 2944.0 82.237674 ... 83.899046 82.509987
|
||||
22 3072.0 82.062468 ... 89.735509 88.473602
|
||||
23 3200.0 83.224970 ... 95.952022 95.665176
|
||||
24 3328.0 82.891535 ... 85.703924 84.995628
|
||||
25 3456.0 82.604067 ... 92.191613 86.876687
|
||||
26 3584.0 87.296493 ... 98.375705 97.840469
|
||||
27 3712.0 85.091436 ... 89.194055 86.192706
|
||||
28 3840.0 85.070769 ... 93.484358 88.191387
|
||||
29 3968.0 91.816356 ... 88.167587 91.472214
|
||||
30 4096.0 88.475759 ... 89.777746 88.359266
|
||||
|
||||
[31 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 4.630 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 6.317 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>
|
||||
|
@@ -194,23 +194,23 @@ to download the full example code</p>
|
||||
<p class="sphx-glr-script-out">Out:</p>
|
||||
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm:
|
||||
N Triton Torch Apex
|
||||
0 1024.0 585.142849 277.694907 468.114273
|
||||
0 1024.0 585.142849 277.694907 481.882344
|
||||
1 1536.0 630.153868 323.368435 511.999982
|
||||
2 2048.0 682.666643 334.367358 520.126988
|
||||
3 2560.0 694.237267 362.477870 512.000013
|
||||
4 3072.0 712.347810 375.206126 496.484863
|
||||
3 2560.0 694.237267 365.714281 512.000013
|
||||
4 3072.0 712.347810 378.092307 501.551037
|
||||
5 3584.0 725.873439 384.859062 455.111115
|
||||
6 4096.0 728.177767 381.023256 448.876695
|
||||
7 4608.0 670.254540 394.267384 426.173427
|
||||
8 5120.0 688.403381 397.669909 426.666652
|
||||
9 5632.0 704.000002 395.228063 413.357796
|
||||
6 4096.0 728.177767 381.023256 455.111095
|
||||
7 4608.0 676.403666 396.387087 428.651163
|
||||
8 5120.0 688.403381 397.669909 422.268057
|
||||
9 5632.0 704.000002 395.228063 417.185184
|
||||
10 6144.0 702.171410 402.885254 411.313806
|
||||
11 6656.0 700.631610 398.861429 400.360920
|
||||
11 6656.0 705.271522 400.360920 400.360920
|
||||
12 7168.0 690.891575 396.844306 387.459443
|
||||
13 7680.0 682.666656 392.587863 387.634072
|
||||
14 8192.0 636.271854 392.431125 371.308771
|
||||
14 8192.0 639.375598 393.609605 372.363633
|
||||
15 8704.0 630.153861 389.005597 380.502740
|
||||
16 9216.0 606.814809 407.337026 383.002605
|
||||
16 9216.0 609.322328 407.337026 383.002605
|
||||
17 9728.0 589.575753 409.599987 382.427505
|
||||
18 10240.0 566.920437 408.578556 381.911416
|
||||
19 10752.0 549.623009 411.559798 381.445676
|
||||
@@ -218,12 +218,12 @@ to download the full example code</p>
|
||||
21 11776.0 523.377770 409.599991 377.587162
|
||||
22 12288.0 516.031509 413.911572 383.251457
|
||||
23 12800.0 505.679014 410.420828 376.470582
|
||||
24 13312.0 494.180982 404.927765 376.310952
|
||||
24 13312.0 494.180982 405.699062 376.310952
|
||||
25 13824.0 482.934503 411.888257 379.389355
|
||||
26 14336.0 470.997935 406.695045 374.185964
|
||||
27 14848.0 461.297068 408.192434 374.712936
|
||||
26 14336.0 471.967074 406.695045 374.185964
|
||||
27 14848.0 461.297068 408.192434 375.304904
|
||||
28 15360.0 454.269882 406.214870 378.092307
|
||||
29 15872.0 447.098578 406.974373 376.225175
|
||||
29 15872.0 447.887117 406.974373 376.225175
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="line-block">
|
||||
@@ -537,7 +537,7 @@ to download the full example code</p>
|
||||
<span class="n">bench_layer_norm</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">save_path</span><span class="o">=</span><span class="s1">'.'</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 19.895 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 10.415 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-05-layer-norm-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<p><a class="reference download internal" download="" href="../../_downloads/935c0dd0fbeb4b2e69588471cbb2d4b2/05-layer-norm.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">05-layer-norm.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>16:23.119</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>16:30.525</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>06:04.630</p></td>
|
||||
<td><p>06:06.317</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-even"><td><p><a class="reference internal" href="05-layer-norm.html#sphx-glr-getting-started-tutorials-05-layer-norm-py"><span class="std std-ref">Layer Normalization</span></a> (<code class="docutils literal notranslate"><span class="pre">05-layer-norm.py</span></code>)</p></td>
|
||||
<td><p>05:19.895</p></td>
|
||||
<td><p>05:10.415</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-odd"><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>03:22.112</p></td>
|
||||
<td><p>03:25.662</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-even"><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>01:35.982</p></td>
|
||||
<td><p>01:47.631</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-odd"><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>
|
||||
|
@@ -1,4 +1,4 @@
|
||||
# Sphinx build info version 1
|
||||
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
|
||||
config: 0127b1b00b32640baa4371315bd87bae
|
||||
config: 293991045ce2a51a6f5436b6dafa9d53
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||||
tags: 645f666f9bcd5a90fca523b33c5a78b7
|
||||
|