[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2021-08-17 00:16:20 +00:00
parent 85b5fdb059
commit 55da78370e
17 changed files with 83 additions and 83 deletions

Binary file not shown.

Before

Width:  |  Height:  |  Size: 23 KiB

After

Width:  |  Height:  |  Size: 23 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 15 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: 55 KiB

After

Width:  |  Height:  |  Size: 54 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 32 KiB

After

Width:  |  Height:  |  Size: 32 KiB

View File

@@ -232,12 +232,12 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
vector-add-performance: vector-add-performance:
size Triton Torch size Triton Torch
0 4096.0 9.600000 9.600000 0 4096.0 9.600000 9.600000
1 8192.0 19.200000 15.999999 1 8192.0 15.999999 19.200000
2 16384.0 38.400001 38.400001 2 16384.0 38.400001 38.400001
3 32768.0 76.800002 76.800002 3 32768.0 76.800002 76.800002
4 65536.0 127.999995 127.999995 4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568 5 131072.0 219.428568 219.428568
6 262144.0 384.000001 341.333321 6 262144.0 341.333321 341.333321
7 524288.0 472.615390 472.615390 7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016 8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 722.823517 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 .. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 11.086 seconds) **Total running time of the script:** ( 0 minutes 11.024 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py: .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

View File

@@ -301,16 +301,16 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
softmax-performance: softmax-performance:
N Triton Torch (native) Torch (jit) N Triton Torch (native) Torch (jit)
0 256.0 512.000001 546.133347 186.181817 0 256.0 512.000001 546.133347 186.181817
1 384.0 585.142862 585.142862 153.600004 1 384.0 585.142862 558.545450 151.703707
2 512.0 630.153853 606.814814 154.566038 2 512.0 630.153853 585.142849 154.566038
3 640.0 682.666684 640.000002 160.000000 3 640.0 682.666684 640.000002 160.000000
4 768.0 702.171410 664.216187 163.839992 4 768.0 702.171410 664.216187 163.839992
.. ... ... ... ... .. ... ... ... ...
93 12160.0 812.359066 405.755985 199.140227 93 12160.0 812.359066 406.179533 199.038365
94 12288.0 812.429770 415.661740 199.399583 94 12288.0 812.429770 415.222812 199.399583
95 12416.0 810.840807 411.722274 199.054102 95 12416.0 810.840807 412.149375 198.854847
96 12544.0 810.925276 412.546756 199.308841 96 12544.0 809.290334 412.971190 199.209928
97 12672.0 811.007961 412.097543 199.362843 97 12672.0 809.389265 412.097543 199.362843
[98 rows x 4 columns] [98 rows x 4 columns]
@@ -328,7 +328,7 @@ In the above plot, we can see that:
.. rst-class:: sphx-glr-timing .. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 1 minutes 12.683 seconds) **Total running time of the script:** ( 1 minutes 12.613 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py: .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

View File

@@ -463,37 +463,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
matmul-performance: matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU) M cuBLAS ... Triton Triton (+ LeakyReLU)
0 128.0 0.455111 ... 0.512000 0.512000 0 128.0 0.455111 ... 0.512000 0.512000
1 256.0 2.730667 ... 3.276800 2.978909 1 256.0 2.978909 ... 2.978909 2.978909
2 384.0 7.372800 ... 8.507077 7.899428 2 384.0 7.372800 ... 8.507077 8.507077
3 512.0 14.563555 ... 15.420235 15.420235 3 512.0 14.563555 ... 16.384000 15.420235
4 640.0 22.260869 ... 24.380953 24.380953 4 640.0 22.260869 ... 24.380953 24.380953
5 768.0 32.768000 ... 34.028308 34.028308 5 768.0 32.768000 ... 34.028308 34.028308
6 896.0 39.025776 ... 40.140799 39.025776 6 896.0 37.971025 ... 40.140799 39.025776
7 1024.0 49.932191 ... 52.428801 52.428801 7 1024.0 49.932191 ... 52.428801 52.428801
8 1152.0 44.566925 ... 46.656000 46.656000 8 1152.0 44.566925 ... 46.656000 46.656000
9 1280.0 51.200001 ... 56.109587 56.109587 9 1280.0 51.200001 ... 56.888887 56.109587
10 1408.0 64.138541 ... 64.902096 64.138541 10 1408.0 64.138541 ... 64.902096 64.902096
11 1536.0 79.526831 ... 76.106321 75.296679 11 1536.0 80.430545 ... 76.933564 76.106321
12 1664.0 63.372618 ... 62.492442 62.492442 12 1664.0 63.372618 ... 62.492442 62.492442
13 1792.0 72.983276 ... 70.246402 69.810085 13 1792.0 72.983276 ... 70.246402 69.810085
14 1920.0 66.782607 ... 68.435645 69.467336 14 1920.0 69.467336 ... 70.892307 70.530615
15 2048.0 73.262953 ... 75.234154 68.191406 15 2048.0 73.908442 ... 75.234154 74.898285
16 2176.0 82.813365 ... 81.143743 77.398646 16 2176.0 83.500614 ... 80.817862 80.173899
17 2304.0 68.056616 ... 73.501144 73.051599 17 2304.0 68.446623 ... 73.501144 73.051599
18 2432.0 71.125224 ... 80.731218 80.499895 18 2432.0 71.125224 ... 80.499895 79.587714
19 2560.0 77.649287 ... 77.283019 76.382283 19 2560.0 77.833728 ... 77.283019 76.740048
20 2688.0 81.752274 ... 82.642823 81.752274 20 2688.0 84.108772 ... 83.552988 84.108772
21 2816.0 83.873477 ... 79.298560 79.154642 21 2816.0 81.674548 ... 77.882512 79.733474
22 2944.0 81.431424 ... 79.993627 76.907458 22 2944.0 81.832567 ... 78.235527 77.990663
23 3072.0 81.825298 ... 83.514905 82.782312 23 3072.0 81.121923 ... 83.761985 80.544956
24 3200.0 80.604535 ... 85.106381 89.510493 24 3200.0 84.768213 ... 89.635851 89.635851
25 3328.0 83.905938 ... 82.558825 81.622783 25 3328.0 79.812967 ... 84.200347 87.580655
26 3456.0 81.849303 ... 84.244062 84.244062 26 3456.0 81.189898 ... 84.420490 85.404201
27 3584.0 87.211821 ... 90.458141 92.887804 27 3584.0 86.707226 ... 95.047985 90.549237
28 3712.0 85.601834 ... 88.955779 88.797643 28 3712.0 84.159518 ... 84.301560 82.423549
29 3840.0 84.874902 ... 83.214447 85.136259 29 3840.0 83.655065 ... 87.562949 87.493673
30 3968.0 88.938731 ... 88.487262 87.723894 30 3968.0 93.076994 ... 88.040360 87.913500
31 4096.0 93.727466 ... 88.709668 88.475759 31 4096.0 93.596744 ... 86.816123 83.571059
[32 rows x 5 columns] [32 rows x 5 columns]
@@ -503,7 +503,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
.. rst-class:: sphx-glr-timing .. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 9.474 seconds) **Total running time of the script:** ( 2 minutes 2.006 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

View File

@@ -5,12 +5,12 @@
Computation times Computation times
================= =================
**03:33.244** total execution time for **getting-started_tutorials** files: **03:25.643** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:09.474 | 0.0 MB | | :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:02.006 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.683 | 0.0 MB | | :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.613 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.086 | 0.0 MB | | :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.024 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+

View File

@@ -320,12 +320,12 @@ for different problem sizes.</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance: <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>vector-add-performance:
size Triton Torch size Triton Torch
0 4096.0 9.600000 9.600000 0 4096.0 9.600000 9.600000
1 8192.0 19.200000 15.999999 1 8192.0 15.999999 19.200000
2 16384.0 38.400001 38.400001 2 16384.0 38.400001 38.400001
3 32768.0 76.800002 76.800002 3 32768.0 76.800002 76.800002
4 65536.0 127.999995 127.999995 4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568 5 131072.0 219.428568 219.428568
6 262144.0 384.000001 341.333321 6 262144.0 341.333321 341.333321
7 524288.0 472.615390 472.615390 7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016 8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 722.823517 9 2097152.0 722.823517 722.823517
@@ -337,7 +337,7 @@ for different problem sizes.</p>
15 134217728.0 851.577704 850.656574 15 134217728.0 851.577704 850.656574
</pre></div> </pre></div>
</div> </div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.086 seconds)</p> <p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.024 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-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"> <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> <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

@@ -386,16 +386,16 @@ 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: <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
N Triton Torch (native) Torch (jit) N Triton Torch (native) Torch (jit)
0 256.0 512.000001 546.133347 186.181817 0 256.0 512.000001 546.133347 186.181817
1 384.0 585.142862 585.142862 153.600004 1 384.0 585.142862 558.545450 151.703707
2 512.0 630.153853 606.814814 154.566038 2 512.0 630.153853 585.142849 154.566038
3 640.0 682.666684 640.000002 160.000000 3 640.0 682.666684 640.000002 160.000000
4 768.0 702.171410 664.216187 163.839992 4 768.0 702.171410 664.216187 163.839992
.. ... ... ... ... .. ... ... ... ...
93 12160.0 812.359066 405.755985 199.140227 93 12160.0 812.359066 406.179533 199.038365
94 12288.0 812.429770 415.661740 199.399583 94 12288.0 812.429770 415.222812 199.399583
95 12416.0 810.840807 411.722274 199.054102 95 12416.0 810.840807 412.149375 198.854847
96 12544.0 810.925276 412.546756 199.308841 96 12544.0 809.290334 412.971190 199.209928
97 12672.0 811.007961 412.097543 199.362843 97 12672.0 809.389265 412.097543 199.362843
[98 rows x 4 columns] [98 rows x 4 columns]
</pre></div> </pre></div>
@@ -408,7 +408,7 @@ 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> Note however that the PyTorch <cite>softmax</cite> operation is more general and will works on tensors of any shape.</p></li>
</ul> </ul>
</div></blockquote> </div></blockquote>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.683 seconds)</p> <p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.613 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-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"> <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> <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

@@ -567,42 +567,42 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance: <div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU) M cuBLAS ... Triton Triton (+ LeakyReLU)
0 128.0 0.455111 ... 0.512000 0.512000 0 128.0 0.455111 ... 0.512000 0.512000
1 256.0 2.730667 ... 3.276800 2.978909 1 256.0 2.978909 ... 2.978909 2.978909
2 384.0 7.372800 ... 8.507077 7.899428 2 384.0 7.372800 ... 8.507077 8.507077
3 512.0 14.563555 ... 15.420235 15.420235 3 512.0 14.563555 ... 16.384000 15.420235
4 640.0 22.260869 ... 24.380953 24.380953 4 640.0 22.260869 ... 24.380953 24.380953
5 768.0 32.768000 ... 34.028308 34.028308 5 768.0 32.768000 ... 34.028308 34.028308
6 896.0 39.025776 ... 40.140799 39.025776 6 896.0 37.971025 ... 40.140799 39.025776
7 1024.0 49.932191 ... 52.428801 52.428801 7 1024.0 49.932191 ... 52.428801 52.428801
8 1152.0 44.566925 ... 46.656000 46.656000 8 1152.0 44.566925 ... 46.656000 46.656000
9 1280.0 51.200001 ... 56.109587 56.109587 9 1280.0 51.200001 ... 56.888887 56.109587
10 1408.0 64.138541 ... 64.902096 64.138541 10 1408.0 64.138541 ... 64.902096 64.902096
11 1536.0 79.526831 ... 76.106321 75.296679 11 1536.0 80.430545 ... 76.933564 76.106321
12 1664.0 63.372618 ... 62.492442 62.492442 12 1664.0 63.372618 ... 62.492442 62.492442
13 1792.0 72.983276 ... 70.246402 69.810085 13 1792.0 72.983276 ... 70.246402 69.810085
14 1920.0 66.782607 ... 68.435645 69.467336 14 1920.0 69.467336 ... 70.892307 70.530615
15 2048.0 73.262953 ... 75.234154 68.191406 15 2048.0 73.908442 ... 75.234154 74.898285
16 2176.0 82.813365 ... 81.143743 77.398646 16 2176.0 83.500614 ... 80.817862 80.173899
17 2304.0 68.056616 ... 73.501144 73.051599 17 2304.0 68.446623 ... 73.501144 73.051599
18 2432.0 71.125224 ... 80.731218 80.499895 18 2432.0 71.125224 ... 80.499895 79.587714
19 2560.0 77.649287 ... 77.283019 76.382283 19 2560.0 77.833728 ... 77.283019 76.740048
20 2688.0 81.752274 ... 82.642823 81.752274 20 2688.0 84.108772 ... 83.552988 84.108772
21 2816.0 83.873477 ... 79.298560 79.154642 21 2816.0 81.674548 ... 77.882512 79.733474
22 2944.0 81.431424 ... 79.993627 76.907458 22 2944.0 81.832567 ... 78.235527 77.990663
23 3072.0 81.825298 ... 83.514905 82.782312 23 3072.0 81.121923 ... 83.761985 80.544956
24 3200.0 80.604535 ... 85.106381 89.510493 24 3200.0 84.768213 ... 89.635851 89.635851
25 3328.0 83.905938 ... 82.558825 81.622783 25 3328.0 79.812967 ... 84.200347 87.580655
26 3456.0 81.849303 ... 84.244062 84.244062 26 3456.0 81.189898 ... 84.420490 85.404201
27 3584.0 87.211821 ... 90.458141 92.887804 27 3584.0 86.707226 ... 95.047985 90.549237
28 3712.0 85.601834 ... 88.955779 88.797643 28 3712.0 84.159518 ... 84.301560 82.423549
29 3840.0 84.874902 ... 83.214447 85.136259 29 3840.0 83.655065 ... 87.562949 87.493673
30 3968.0 88.938731 ... 88.487262 87.723894 30 3968.0 93.076994 ... 88.040360 87.913500
31 4096.0 93.727466 ... 88.709668 88.475759 31 4096.0 93.596744 ... 86.816123 83.571059
[32 rows x 5 columns] [32 rows x 5 columns]
</pre></div> </pre></div>
</div> </div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 9.474 seconds)</p> <p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 2.006 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-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"> <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> <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"> <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> <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>03:33.244</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p> <p><strong>03:25.643</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<table class="docutils align-default"> <table class="docutils align-default">
<colgroup> <colgroup>
<col style="width: 85%" /> <col style="width: 85%" />
@@ -183,15 +183,15 @@
</colgroup> </colgroup>
<tbody> <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> <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>02:09.474</p></td> <td><p>02:02.006</p></td>
<td><p>0.0 MB</p></td> <td><p>0.0 MB</p></td>
</tr> </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> <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>01:12.683</p></td> <td><p>01:12.613</p></td>
<td><p>0.0 MB</p></td> <td><p>0.0 MB</p></td>
</tr> </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> <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>00:11.086</p></td> <td><p>00:11.024</p></td>
<td><p>0.0 MB</p></td> <td><p>0.0 MB</p></td>
</tr> </tr>
</tbody> </tbody>

File diff suppressed because one or more lines are too long