[GH-PAGES] Updated website
This commit is contained in:
@@ -330,7 +330,7 @@ for different problem sizes.</p>
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8 1048576.0 614.400016 614.400016
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@@ -342,7 +342,7 @@ for different problem sizes.</p>
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15 134217728.0 849.737435 850.656574
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</pre></div>
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</div>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 45.222 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 44.647 seconds)</p>
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-01-vector-add-py">
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<div class="sphx-glr-download sphx-glr-download-python docutils container">
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<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>
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@@ -371,16 +371,16 @@ We will then compare its performance against (1) <code class="code docutils lite
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<p class="sphx-glr-script-out">Out:</p>
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<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
|
||||
N Triton Torch (native) Torch (jit)
|
||||
0 256.0 546.133347 546.133347 186.181817
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0 256.0 546.133347 546.133347 188.321838
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1 384.0 614.400016 585.142862 153.600004
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2 512.0 655.360017 606.814814 154.566038
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3 640.0 706.206879 640.000002 160.000000
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.. ... ... ... ...
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93 12160.0 812.359066 406.179533 198.936606
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93 12160.0 812.359066 406.179533 198.834951
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94 12288.0 812.429770 415.661740 199.197579
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95 12416.0 812.498981 412.149375 198.854847
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96 12544.0 811.745227 412.971190 199.111113
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95 12416.0 812.498981 412.149375 198.755369
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96 12544.0 810.925276 412.971190 199.111113
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97 12672.0 811.007961 412.097543 199.167004
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[98 rows x 4 columns]
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@@ -394,7 +394,7 @@ We will then compare its performance against (1) <code class="code docutils lite
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Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
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</ul>
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</div></blockquote>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 31.941 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 30.659 seconds)</p>
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
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<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
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<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>
|
||||
|
@@ -568,41 +568,41 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
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<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
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||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
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0 256.0 2.978909 ... 2.978909 3.276800
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1 384.0 7.372800 ... 8.507077 8.507077
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2 512.0 14.563555 ... 15.420235 15.420235
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1 384.0 7.372800 ... 7.899428 8.507077
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2 512.0 14.563555 ... 16.384000 16.384000
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3 640.0 22.260869 ... 24.380953 24.380953
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||||
4 768.0 32.768000 ... 35.389441 34.028308
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5 896.0 39.025776 ... 40.140799 39.025776
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6 1024.0 49.932191 ... 53.773130 52.428801
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||||
7 1152.0 45.242181 ... 48.161033 48.161033
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7 1152.0 45.242181 ... 47.396572 47.396572
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||||
8 1280.0 51.200001 ... 57.690139 57.690139
|
||||
9 1408.0 64.138541 ... 69.009825 68.147202
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||||
9 1408.0 64.138541 ... 68.147202 67.305878
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||||
10 1536.0 80.430545 ... 81.355034 79.526831
|
||||
11 1664.0 62.929456 ... 63.372618 62.492442
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11 1664.0 62.492442 ... 63.372618 62.492442
|
||||
12 1792.0 72.512412 ... 73.460287 59.467852
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||||
13 1920.0 69.120002 ... 71.626943 71.257735
|
||||
13 1920.0 68.776119 ... 71.257735 71.257735
|
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14 2048.0 73.908442 ... 78.398206 77.314362
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||||
15 2176.0 83.500614 ... 87.876193 86.367588
|
||||
16 2304.0 68.446623 ... 78.064941 77.307030
|
||||
17 2432.0 71.305746 ... 86.711310 85.653855
|
||||
18 2560.0 77.833728 ... 82.539044 81.310171
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||||
19 2688.0 83.737433 ... 90.748936 89.044730
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20 2816.0 83.392363 ... 84.035084 83.873477
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21 2944.0 79.737653 ... 83.337844 82.441740
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||||
22 3072.0 82.420822 ... 89.310890 87.787755
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||||
23 3200.0 84.210524 ... 96.530922 94.814812
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||||
24 3328.0 82.369902 ... 84.795401 84.596116
|
||||
25 3456.0 82.266905 ... 92.033756 90.790053
|
||||
26 3584.0 83.954614 ... 93.273228 94.647779
|
||||
27 3712.0 85.309435 ... 89.035062 82.287760
|
||||
28 3840.0 84.550462 ... 92.817458 85.730230
|
||||
29 3968.0 91.781825 ... 85.153710 87.191097
|
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30 4096.0 93.336389 ... 92.691803 87.352901
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17 2432.0 71.305746 ... 85.653855 75.320281
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18 2560.0 77.833728 ... 82.747477 81.108913
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19 2688.0 83.186525 ... 90.102270 90.316801
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20 2816.0 80.173175 ... 84.523664 83.712490
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21 2944.0 81.832567 ... 83.198715 81.832567
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22 3072.0 82.420822 ... 89.877939 88.890270
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23 3200.0 84.544253 ... 96.822991 94.955488
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24 3328.0 83.130825 ... 85.196803 84.695641
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25 3456.0 82.015834 ... 91.719645 91.563392
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26 3584.0 87.381330 ... 94.697621 95.451583
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||||
27 3712.0 83.386762 ... 87.246590 87.475786
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||||
28 3840.0 80.197243 ... 89.548180 91.891984
|
||||
29 3968.0 88.039362 ... 90.522206 84.328915
|
||||
30 4096.0 92.245860 ... 84.149044 89.837839
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||||
|
||||
[31 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 40.885 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 7 minutes 8.214 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">
|
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<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
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<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>
|
||||
|
@@ -374,7 +374,7 @@ 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 0.012 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.282 seconds)</p>
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-04-low-memory-dropout-py">
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<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
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<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>
|
||||
|
@@ -196,36 +196,36 @@ 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 2048.0 668.734716 334.367358 520.126988
|
||||
3 2560.0 694.237267 365.714281 512.000013
|
||||
4 3072.0 712.347810 378.092307 491.520012
|
||||
5 3584.0 725.873439 384.859062 451.527536
|
||||
6 4096.0 728.177767 381.023256 445.823133
|
||||
7 4608.0 670.254540 394.267384 423.724136
|
||||
8 5120.0 688.403381 397.669909 424.455959
|
||||
9 5632.0 698.542675 395.228063 411.470331
|
||||
10 6144.0 702.171410 402.885254 411.313806
|
||||
11 6656.0 700.631610 398.861429 400.360920
|
||||
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 455.111095
|
||||
7 4608.0 670.254540 396.387087 428.651163
|
||||
8 5120.0 688.403381 397.669909 422.268057
|
||||
9 5632.0 704.000002 396.969169 417.185184
|
||||
10 6144.0 697.191505 402.885254 411.313806
|
||||
11 6656.0 705.271522 400.360920 400.360920
|
||||
12 7168.0 690.891575 396.844306 387.459443
|
||||
13 7680.0 678.895043 393.846167 387.634072
|
||||
14 8192.0 636.271854 393.609605 372.363633
|
||||
15 8704.0 624.502255 389.005597 380.502740
|
||||
16 9216.0 604.327881 407.337026 383.999986
|
||||
17 9728.0 585.142883 409.599987 383.369452
|
||||
18 10240.0 564.965524 408.578556 382.803739
|
||||
19 10752.0 546.133312 411.559798 381.445676
|
||||
13 7680.0 678.895043 392.587863 387.634072
|
||||
14 8192.0 639.375598 393.609605 372.363633
|
||||
15 8704.0 627.315309 389.005597 380.502740
|
||||
16 9216.0 606.814809 407.337026 383.999986
|
||||
17 9728.0 587.350922 409.599987 383.369452
|
||||
18 10240.0 566.920437 408.578556 382.803739
|
||||
19 10752.0 547.872604 411.559798 381.445676
|
||||
20 11264.0 533.207081 406.826188 373.134567
|
||||
21 11776.0 520.486200 409.599991 377.587162
|
||||
22 12288.0 516.031509 413.911572 383.251457
|
||||
22 12288.0 514.680630 414.784810 383.251457
|
||||
23 12800.0 504.433489 410.420828 376.470582
|
||||
24 13312.0 494.180982 405.699062 376.310952
|
||||
25 13824.0 482.934503 411.122660 379.389355
|
||||
24 13312.0 494.180982 405.699062 376.976995
|
||||
25 13824.0 482.934503 411.888257 379.389355
|
||||
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 15872.0 447.098578 407.627589 376.225175
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="line-block">
|
||||
@@ -543,7 +543,7 @@ 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 39.341 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 33.069 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>
|
||||
|
@@ -548,7 +548,7 @@ to download the full example code</p>
|
||||
<span class="c1"># bench_flash_attention.run(save_path='.', print_data=True)</span>
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.071 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.074 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-06-fused-attention-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<p><a class="reference download internal" download="" href="../../_downloads/54a35f6ec55f9746935b9566fb6bb1df/06-fused-attention.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">06-fused-attention.py</span></code></a></p>
|
||||
|
@@ -276,7 +276,7 @@ tensor([0.4105, 0.5430, 0.0249, ..., 0.0424, 0.5351, 0.8149], device='cuda:
|
||||
The maximum difference between torch and triton is 2.384185791015625e-07
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.010 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.254 seconds)</p>
|
||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-07-libdevice-function-py">
|
||||
<div class="sphx-glr-download sphx-glr-download-python docutils container">
|
||||
<p><a class="reference download internal" download="" href="../../_downloads/3ff29f967ace7985da24aab10352fc76/07-libdevice-function.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">07-libdevice-function.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>17:37.482</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>17:57.200</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<table class="docutils align-default">
|
||||
<colgroup>
|
||||
<col style="width: 85%" />
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@@ -183,31 +183,31 @@
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||||
</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>06:40.885</p></td>
|
||||
<td><p>07:08.214</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>05:39.341</p></td>
|
||||
<td><p>05:33.069</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>03:31.941</p></td>
|
||||
<td><p>03:30.659</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>01:45.222</p></td>
|
||||
<td><p>01:44.647</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>
|
||||
<td><p>00:00.282</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-even"><td><p><a class="reference internal" href="07-libdevice-function.html#sphx-glr-getting-started-tutorials-07-libdevice-function-py"><span class="std std-ref">Libdevice function</span></a> (<code class="docutils literal notranslate"><span class="pre">07-libdevice-function.py</span></code>)</p></td>
|
||||
<td><p>00:00.254</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-odd"><td><p><a class="reference internal" href="06-fused-attention.html#sphx-glr-getting-started-tutorials-06-fused-attention-py"><span class="std std-ref">Fused Attention</span></a> (<code class="docutils literal notranslate"><span class="pre">06-fused-attention.py</span></code>)</p></td>
|
||||
<td><p>00:00.071</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>00:00.012</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-odd"><td><p><a class="reference internal" href="07-libdevice-function.html#sphx-glr-getting-started-tutorials-07-libdevice-function-py"><span class="std std-ref">Libdevice function</span></a> (<code class="docutils literal notranslate"><span class="pre">07-libdevice-function.py</span></code>)</p></td>
|
||||
<td><p>00:00.010</p></td>
|
||||
<td><p>00:00.074</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
|
Reference in New Issue
Block a user