[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2021-08-09 00:13:58 +00:00
parent 856080300f
commit 7a3b60cc85
17 changed files with 81 additions and 81 deletions

Binary file not shown.

Before

Width:  |  Height:  |  Size: 24 KiB

After

Width:  |  Height:  |  Size: 24 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 16 KiB

After

Width:  |  Height:  |  Size: 15 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 37 KiB

After

Width:  |  Height:  |  Size: 37 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 24 KiB

After

Width:  |  Height:  |  Size: 24 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 56 KiB

After

Width:  |  Height:  |  Size: 54 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 32 KiB

After

Width:  |  Height:  |  Size: 31 KiB

View File

@@ -237,7 +237,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
3 32768.0 76.800002 76.800002
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
6 262144.0 384.000001 384.000001
6 262144.0 341.333321 341.333321
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 722.823517
@@ -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:** ( 0 minutes 10.996 seconds)
**Total running time of the script:** ( 0 minutes 11.022 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

View File

@@ -301,15 +301,15 @@ 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 153.600004
2 512.0 630.153853 585.142849 154.566038
3 640.0 682.666684 640.000002 160.000000
1 384.0 585.142862 585.142862 151.703707
2 512.0 630.153853 606.814814 154.566038
3 640.0 660.645170 640.000002 160.000000
4 768.0 702.171410 664.216187 163.839992
.. ... ... ... ...
93 12160.0 812.359066 406.179533 199.038365
94 12288.0 812.429770 416.101597 199.298541
95 12416.0 810.840807 412.577363 198.954424
96 12544.0 810.925276 412.971190 199.209928
93 12160.0 812.359066 405.755985 199.038365
94 12288.0 812.429770 415.661740 199.298541
95 12416.0 810.840807 411.722274 198.954424
96 12544.0 809.290334 412.971190 199.209928
97 12672.0 811.007961 412.097543 199.264875
[98 rows x 4 columns]
@@ -329,7 +329,7 @@ In the above plot, we can see that:
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 1 minutes 12.639 seconds)
**Total running time of the script:** ( 1 minutes 12.632 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

View File

@@ -470,8 +470,8 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 128.0 0.512000 ... 0.512000 0.512000
1 256.0 2.978909 ... 3.276800 2.978909
0 128.0 0.455111 ... 0.512000 0.512000
1 256.0 2.730667 ... 3.276800 2.978909
2 384.0 7.372800 ... 8.507077 8.507077
3 512.0 14.563555 ... 16.384000 16.384000
4 640.0 22.260869 ... 24.380953 24.380953
@@ -479,29 +479,29 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
6 896.0 39.025776 ... 40.140799 39.025776
7 1024.0 49.932191 ... 53.773130 52.428801
8 1152.0 44.566925 ... 46.656000 46.656000
9 1280.0 51.200001 ... 56.888887 56.888887
10 1408.0 64.138541 ... 64.902096 64.902096
11 1536.0 80.430545 ... 76.933564 76.106321
12 1664.0 63.372618 ... 62.492442 62.492442
13 1792.0 72.983276 ... 70.246402 69.810085
14 1920.0 69.467336 ... 68.098521 70.530615
15 2048.0 73.908442 ... 75.234154 68.200062
16 2176.0 83.155572 ... 78.916269 78.608000
17 2304.0 68.251065 ... 73.051599 73.501144
18 2432.0 71.305746 ... 82.630777 82.147552
19 2560.0 78.019048 ... 77.283019 77.101175
20 2688.0 80.880718 ... 84.861423 81.752274
21 2816.0 83.233226 ... 79.298560 76.921000
22 2944.0 82.373605 ... 78.605729 77.990663
23 3072.0 81.355034 ... 82.782312 82.181572
24 3200.0 83.009080 ... 84.880639 90.014065
25 3328.0 83.419811 ... 82.369902 84.795401
26 3456.0 81.683457 ... 84.954233 82.099354
27 3584.0 85.715344 ... 95.249353 94.747514
28 3712.0 80.692524 ... 84.159518 89.114488
29 3840.0 85.465227 ... 83.214447 84.874902
30 3968.0 86.112380 ... 81.080712 82.728089
31 4096.0 93.727466 ... 88.709668 88.534120
9 1280.0 51.200001 ... 56.888887 56.109587
10 1408.0 64.138541 ... 64.902096 57.997615
11 1536.0 78.643199 ... 76.106321 75.296679
12 1664.0 63.372618 ... 62.492442 62.061463
13 1792.0 72.983276 ... 70.246402 69.379162
14 1920.0 67.106797 ... 70.530615 70.530615
15 2048.0 73.908442 ... 74.898285 74.898285
16 2176.0 83.500614 ... 78.302130 80.173899
17 2304.0 68.446623 ... 73.501144 73.275679
18 2432.0 71.305746 ... 81.669953 81.197876
19 2560.0 77.833728 ... 76.740048 76.382283
20 2688.0 82.642823 ... 83.369354 80.027544
21 2816.0 79.879498 ... 77.330158 80.173175
22 2944.0 83.060049 ... 80.251257 78.235527
23 3072.0 81.943708 ... 84.512098 81.472093
24 3200.0 84.432717 ... 90.140846 84.099871
25 3328.0 83.034941 ... 87.794262 86.217120
26 3456.0 81.932484 ... 83.545665 85.767626
27 3584.0 87.211821 ... 92.220917 84.908450
28 3712.0 84.159518 ... 83.247783 82.082808
29 3840.0 80.197243 ... 81.439280 83.089406
30 3968.0 85.994800 ... 80.971427 82.226372
31 4096.0 93.596744 ... 89.597949 88.475759
[32 rows x 5 columns]
@@ -511,7 +511,7 @@ 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:** ( 2 minutes 18.530 seconds)
**Total running time of the script:** ( 2 minutes 23.846 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

View File

@@ -5,12 +5,12 @@
Computation times
=================
**03:42.165** total execution time for **getting-started_tutorials** files:
**03:47.500** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:18.530 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:23.846 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.639 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.632 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.996 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.022 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+

View File

@@ -325,7 +325,7 @@ for different problem sizes.</p>
3 32768.0 76.800002 76.800002
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
6 262144.0 384.000001 384.000001
6 262144.0 341.333321 341.333321
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 722.823517
@@ -337,7 +337,7 @@ for different problem sizes.</p>
15 134217728.0 851.577704 850.656574
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 10.996 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.022 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>

View File

@@ -386,15 +386,15 @@ We will then compare its performance against (1) <code class="code docutils lite
<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 153.600004
2 512.0 630.153853 585.142849 154.566038
3 640.0 682.666684 640.000002 160.000000
1 384.0 585.142862 585.142862 151.703707
2 512.0 630.153853 606.814814 154.566038
3 640.0 660.645170 640.000002 160.000000
4 768.0 702.171410 664.216187 163.839992
.. ... ... ... ...
93 12160.0 812.359066 406.179533 199.038365
94 12288.0 812.429770 416.101597 199.298541
95 12416.0 810.840807 412.577363 198.954424
96 12544.0 810.925276 412.971190 199.209928
93 12160.0 812.359066 405.755985 199.038365
94 12288.0 812.429770 415.661740 199.298541
95 12416.0 810.840807 411.722274 198.954424
96 12544.0 809.290334 412.971190 199.209928
97 12672.0 811.007961 412.097543 199.264875
[98 rows x 4 columns]
@@ -409,7 +409,7 @@ This means that when temporary data is too large to fit entirely in the GPU
Note that our Triton kernel is not only faster than PyTorchs CUDA kernel, it is also <strong>easier to read, understand and maintain</strong>.</p></li>
</ul>
</div></blockquote>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.639 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.632 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>

View File

@@ -574,8 +574,8 @@ 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)
0 128.0 0.512000 ... 0.512000 0.512000
1 256.0 2.978909 ... 3.276800 2.978909
0 128.0 0.455111 ... 0.512000 0.512000
1 256.0 2.730667 ... 3.276800 2.978909
2 384.0 7.372800 ... 8.507077 8.507077
3 512.0 14.563555 ... 16.384000 16.384000
4 640.0 22.260869 ... 24.380953 24.380953
@@ -583,34 +583,34 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
6 896.0 39.025776 ... 40.140799 39.025776
7 1024.0 49.932191 ... 53.773130 52.428801
8 1152.0 44.566925 ... 46.656000 46.656000
9 1280.0 51.200001 ... 56.888887 56.888887
10 1408.0 64.138541 ... 64.902096 64.902096
11 1536.0 80.430545 ... 76.933564 76.106321
12 1664.0 63.372618 ... 62.492442 62.492442
13 1792.0 72.983276 ... 70.246402 69.810085
14 1920.0 69.467336 ... 68.098521 70.530615
15 2048.0 73.908442 ... 75.234154 68.200062
16 2176.0 83.155572 ... 78.916269 78.608000
17 2304.0 68.251065 ... 73.051599 73.501144
18 2432.0 71.305746 ... 82.630777 82.147552
19 2560.0 78.019048 ... 77.283019 77.101175
20 2688.0 80.880718 ... 84.861423 81.752274
21 2816.0 83.233226 ... 79.298560 76.921000
22 2944.0 82.373605 ... 78.605729 77.990663
23 3072.0 81.355034 ... 82.782312 82.181572
24 3200.0 83.009080 ... 84.880639 90.014065
25 3328.0 83.419811 ... 82.369902 84.795401
26 3456.0 81.683457 ... 84.954233 82.099354
27 3584.0 85.715344 ... 95.249353 94.747514
28 3712.0 80.692524 ... 84.159518 89.114488
29 3840.0 85.465227 ... 83.214447 84.874902
30 3968.0 86.112380 ... 81.080712 82.728089
31 4096.0 93.727466 ... 88.709668 88.534120
9 1280.0 51.200001 ... 56.888887 56.109587
10 1408.0 64.138541 ... 64.902096 57.997615
11 1536.0 78.643199 ... 76.106321 75.296679
12 1664.0 63.372618 ... 62.492442 62.061463
13 1792.0 72.983276 ... 70.246402 69.379162
14 1920.0 67.106797 ... 70.530615 70.530615
15 2048.0 73.908442 ... 74.898285 74.898285
16 2176.0 83.500614 ... 78.302130 80.173899
17 2304.0 68.446623 ... 73.501144 73.275679
18 2432.0 71.305746 ... 81.669953 81.197876
19 2560.0 77.833728 ... 76.740048 76.382283
20 2688.0 82.642823 ... 83.369354 80.027544
21 2816.0 79.879498 ... 77.330158 80.173175
22 2944.0 83.060049 ... 80.251257 78.235527
23 3072.0 81.943708 ... 84.512098 81.472093
24 3200.0 84.432717 ... 90.140846 84.099871
25 3328.0 83.034941 ... 87.794262 86.217120
26 3456.0 81.932484 ... 83.545665 85.767626
27 3584.0 87.211821 ... 92.220917 84.908450
28 3712.0 84.159518 ... 83.247783 82.082808
29 3840.0 80.197243 ... 81.439280 83.089406
30 3968.0 85.994800 ... 80.971427 82.226372
31 4096.0 93.596744 ... 89.597949 88.475759
[32 rows x 5 columns]
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 18.530 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 23.846 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>

View File

@@ -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>03:42.165</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<p><strong>03:47.500</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 85%" />
@@ -183,15 +183,15 @@
</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>02:18.530</p></td>
<td><p>02:23.846</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>01:12.639</p></td>
<td><p>01:12.632</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>00:10.996</p></td>
<td><p>00:11.022</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>

File diff suppressed because one or more lines are too long