gaspersic/triton
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

[GH-PAGES] Updated website

Browse Source
This commit is contained in:
Philippe Tillet
2021-09-07 00:13:40 +00:00
parent 44e1f5bfaa
commit 1bfcc182af
19 changed files with 85 additions and 85 deletions
Download Patch File Download Diff File Expand all files Collapse all files

BIN
_downloads/662999063954282841dc90b8945f85ce/tutorials_jupyter.zip
View File

Binary file not shown.

BIN
_downloads/763344228ae6bc253ed1a6cf586aa30d/tutorials_python.zip
View File

Binary file not shown.

BIN
_images/sphx_glr_01-vector-add_001.png
View File

Binary file not shown.
Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 24 KiB

After

Width:  |  Height:  |  Size: 24 KiB

BIN
_images/sphx_glr_01-vector-add_thumb.png
View File

Binary file not shown.
Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 15 KiB

After

Width:  |  Height:  |  Size: 15 KiB

BIN
_images/sphx_glr_02-fused-softmax_001.png
View File

Binary file not shown.
Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 37 KiB

After

Width:  |  Height:  |  Size: 37 KiB

BIN
_images/sphx_glr_02-fused-softmax_thumb.png
View File

Binary file not shown.
Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 24 KiB

After

Width:  |  Height:  |  Size: 24 KiB

BIN
_images/sphx_glr_03-matrix-multiplication_001.png
View File

Binary file not shown.
Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 55 KiB

After

Width:  |  Height:  |  Size: 55 KiB

BIN
_images/sphx_glr_03-matrix-multiplication_thumb.png
View File

Binary file not shown.
Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 32 KiB

After

Width:  |  Height:  |  Size: 32 KiB

10
_sources/getting-started/tutorials/01-vector-add.rst.txt
View File

@@ -231,7 +231,7 @@ 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 8.000000 9.600000 0 4096.0 9.540372 9.600000
1 8192.0 19.200000 19.200000 1 8192.0 19.200000 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
@@ -240,13 +240,13 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
6 262144.0 341.333321 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 2097152.0 702.171410 702.171410 9 2097152.0 722.823517 722.823517
10 4194304.0 780.190482 780.190482 10 4194304.0 780.190482 780.190482
11 8388608.0 812.429770 812.429770 11 8388608.0 812.429770 812.429770
12 16777216.0 833.084721 833.084721 12 16777216.0 833.084721 833.084721
13 33554432.0 843.811163 842.004273 13 33554432.0 843.811163 843.811163
14 67108864.0 848.362445 848.362445 14 67108864.0 848.362445 848.362445
15 134217728.0 851.577704 850.656574 15 134217728.0 851.116890 850.656574
@@ -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 10.996 seconds) **Total running time of the script:** ( 0 minutes 10.964 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py: .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

14
_sources/getting-started/tutorials/02-fused-softmax.rst.txt
View File

@@ -302,15 +302,15 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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 585.142862 153.600004
2 512.0 630.153853 585.142849 154.566038 2 512.0 630.153853 606.814814 154.566038
3 640.0 660.645170 640.000002 160.000000 3 640.0 682.666684 640.000002 160.000000
4 768.0 702.171410 664.216187 162.754967 4 768.0 702.171410 664.216187 163.839992
.. ... ... ... ... .. ... ... ... ...
93 12160.0 812.359066 405.755985 199.038365 93 12160.0 812.359066 405.755985 199.038365
94 12288.0 812.429770 415.222812 199.298541 94 12288.0 812.429770 415.661740 199.298541
95 12416.0 810.840807 411.722274 198.954424 95 12416.0 810.840807 412.149375 198.755369
96 12544.0 810.925276 412.971190 199.111113 96 12544.0 810.925276 412.971190 199.111113
97 12672.0 811.007961 412.097543 199.264875 97 12672.0 811.007961 412.097543 199.167004
[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 12.586 seconds) **Total running time of the script:** ( 1 minutes 12.596 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py: .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

48
_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt
View File

@@ -462,37 +462,37 @@ 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)
0 256.0 2.730667 ... 2.978909 2.978909 0 256.0 2.978909 ... 3.276800 2.978909
1 384.0 7.372800 ... 7.899428 7.899428 1 384.0 7.372800 ... 7.899428 7.899428
2 512.0 14.563555 ... 16.384000 15.420235 2 512.0 14.563555 ... 16.384000 15.420235
3 640.0 22.260869 ... 24.380953 24.380953 3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 34.028308 34.028308 4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 37.971025 ... 40.140799 39.025776 5 896.0 37.971025 ... 39.025776 39.025776
6 1024.0 49.932191 ... 52.428801 52.428801 6 1024.0 49.932191 ... 52.428801 52.428801
7 1152.0 44.566925 ... 46.656000 46.656000 7 1152.0 44.566925 ... 46.656000 46.656000
8 1280.0 51.200001 ... 56.888887 56.109587 8 1280.0 51.200001 ... 56.888887 56.888887
9 1408.0 64.138541 ... 63.392744 62.664092 9 1408.0 64.138541 ... 63.392744 62.664092
10 1536.0 80.430545 ... 76.106321 75.296679 10 1536.0 79.526831 ... 75.296679 76.106321
11 1664.0 63.372618 ... 62.061463 62.061463 11 1664.0 62.929456 ... 62.061463 62.061463
12 1792.0 72.983276 ... 62.441243 62.441243 12 1792.0 72.983276 ... 62.441243 62.441243
13 1920.0 68.098521 ... 70.172588 69.818184 13 1920.0 69.120002 ... 68.776119 68.776119
14 2048.0 73.584279 ... 74.235468 67.932543 14 2048.0 73.584279 ... 74.235468 74.565406
15 2176.0 82.813365 ... 79.855747 79.540109 15 2176.0 83.155572 ... 80.173899 81.143743
16 2304.0 68.643310 ... 73.501144 73.275679 16 2304.0 68.056616 ... 73.275679 73.275679
17 2432.0 71.305746 ... 72.037087 81.908060 17 2432.0 71.125224 ... 72.037087 82.630777
18 2560.0 77.833728 ... 76.560748 76.560748 18 2560.0 78.019048 ... 76.560748 76.027843
19 2688.0 80.880718 ... 81.752274 83.552988 19 2688.0 84.108772 ... 81.752274 81.401408
20 2816.0 81.981598 ... 79.298560 78.442822 20 2816.0 83.552120 ... 78.726003 79.298560
21 2944.0 81.564701 ... 77.505492 77.265163 21 2944.0 80.510553 ... 78.112900 75.853930
22 3072.0 81.355034 ... 82.782312 82.903517 22 3072.0 81.825298 ... 83.146995 81.589488
23 3200.0 81.321474 ... 85.906037 87.671229 23 3200.0 84.768213 ... 86.253369 90.014065
24 3328.0 82.748617 ... 81.994643 82.275764 24 3328.0 83.226931 ... 81.622783 86.632127
25 3456.0 81.683457 ... 81.932484 84.244062 25 3456.0 81.600781 ... 83.980802 84.068369
26 3584.0 87.211821 ... 87.722333 91.284657 26 3584.0 87.211821 ... 85.797134 85.308722
27 3712.0 85.675250 ... 82.017526 86.267139 27 3712.0 85.822459 ... 79.472826 78.721311
28 3840.0 84.485870 ... 86.738820 86.602979 28 3840.0 83.465663 ... 86.197974 86.265212
29 3968.0 92.864488 ... 87.284643 87.159957 29 3968.0 93.219206 ... 86.849777 87.222259
30 4096.0 93.531519 ... 88.885914 88.827088 30 4096.0 93.206754 ... 89.958266 89.777746
[31 rows x 5 columns] [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 .. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 2 minutes 13.178 seconds) **Total running time of the script:** ( 2 minutes 5.162 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

2
_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt
View File

@@ -238,7 +238,7 @@ References
.. rst-class:: sphx-glr-timing .. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.189 seconds) **Total running time of the script:** ( 0 minutes 0.187 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py: .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

10
_sources/getting-started/tutorials/sg_execution_times.rst.txt
View File

@@ -5,14 +5,14 @@
Computation times Computation times
================= =================
**03:36.949** total execution time for **getting-started_tutorials** files: **03:28.909** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:13.178 | 0.0 MB | | :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:05.162 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.586 | 0.0 MB | | :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.596 | 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``) | 00:10.964 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.189 | 0.0 MB | | :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.187 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+ +---------------------------------------------------------------------------------------------------------+-----------+--------+

10
getting-started/tutorials/01-vector-add.html
View File

@@ -320,7 +320,7 @@ for different problem sizes.</p>
<p class="sphx-glr-script-out">Out:</p> <p class="sphx-glr-script-out">Out:</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 8.000000 9.600000 0 4096.0 9.540372 9.600000
1 8192.0 19.200000 19.200000 1 8192.0 19.200000 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
@@ -329,16 +329,16 @@ for different problem sizes.</p>
6 262144.0 341.333321 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 2097152.0 702.171410 702.171410 9 2097152.0 722.823517 722.823517
10 4194304.0 780.190482 780.190482 10 4194304.0 780.190482 780.190482
11 8388608.0 812.429770 812.429770 11 8388608.0 812.429770 812.429770
12 16777216.0 833.084721 833.084721 12 16777216.0 833.084721 833.084721
13 33554432.0 843.811163 842.004273 13 33554432.0 843.811163 843.811163
14 67108864.0 848.362445 848.362445 14 67108864.0 848.362445 848.362445
15 134217728.0 851.577704 850.656574 15 134217728.0 851.116890 850.656574
</pre></div> </pre></div>
</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 10.964 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>

14
getting-started/tutorials/02-fused-softmax.html
View File

@@ -388,15 +388,15 @@ We will then compare its performance against (1) <code class="code docutils lite
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 585.142862 153.600004
2 512.0 630.153853 585.142849 154.566038 2 512.0 630.153853 606.814814 154.566038
3 640.0 660.645170 640.000002 160.000000 3 640.0 682.666684 640.000002 160.000000
4 768.0 702.171410 664.216187 162.754967 4 768.0 702.171410 664.216187 163.839992
.. ... ... ... ... .. ... ... ... ...
93 12160.0 812.359066 405.755985 199.038365 93 12160.0 812.359066 405.755985 199.038365
94 12288.0 812.429770 415.222812 199.298541 94 12288.0 812.429770 415.661740 199.298541
95 12416.0 810.840807 411.722274 198.954424 95 12416.0 810.840807 412.149375 198.755369
96 12544.0 810.925276 412.971190 199.111113 96 12544.0 810.925276 412.971190 199.111113
97 12672.0 811.007961 412.097543 199.264875 97 12672.0 811.007961 412.097543 199.167004
[98 rows x 4 columns] [98 rows x 4 columns]
</pre></div> </pre></div>
@@ -409,7 +409,7 @@ 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 12.586 seconds)</p> <p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.596 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>

48
getting-started/tutorials/03-matrix-multiplication.html
View File

@@ -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> <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: <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)
0 256.0 2.730667 ... 2.978909 2.978909 0 256.0 2.978909 ... 3.276800 2.978909
1 384.0 7.372800 ... 7.899428 7.899428 1 384.0 7.372800 ... 7.899428 7.899428
2 512.0 14.563555 ... 16.384000 15.420235 2 512.0 14.563555 ... 16.384000 15.420235
3 640.0 22.260869 ... 24.380953 24.380953 3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 34.028308 34.028308 4 768.0 32.768000 ... 34.028308 34.028308
5 896.0 37.971025 ... 40.140799 39.025776 5 896.0 37.971025 ... 39.025776 39.025776
6 1024.0 49.932191 ... 52.428801 52.428801 6 1024.0 49.932191 ... 52.428801 52.428801
7 1152.0 44.566925 ... 46.656000 46.656000 7 1152.0 44.566925 ... 46.656000 46.656000
8 1280.0 51.200001 ... 56.888887 56.109587 8 1280.0 51.200001 ... 56.888887 56.888887
9 1408.0 64.138541 ... 63.392744 62.664092 9 1408.0 64.138541 ... 63.392744 62.664092
10 1536.0 80.430545 ... 76.106321 75.296679 10 1536.0 79.526831 ... 75.296679 76.106321
11 1664.0 63.372618 ... 62.061463 62.061463 11 1664.0 62.929456 ... 62.061463 62.061463
12 1792.0 72.983276 ... 62.441243 62.441243 12 1792.0 72.983276 ... 62.441243 62.441243
13 1920.0 68.098521 ... 70.172588 69.818184 13 1920.0 69.120002 ... 68.776119 68.776119
14 2048.0 73.584279 ... 74.235468 67.932543 14 2048.0 73.584279 ... 74.235468 74.565406
15 2176.0 82.813365 ... 79.855747 79.540109 15 2176.0 83.155572 ... 80.173899 81.143743
16 2304.0 68.643310 ... 73.501144 73.275679 16 2304.0 68.056616 ... 73.275679 73.275679
17 2432.0 71.305746 ... 72.037087 81.908060 17 2432.0 71.125224 ... 72.037087 82.630777
18 2560.0 77.833728 ... 76.560748 76.560748 18 2560.0 78.019048 ... 76.560748 76.027843
19 2688.0 80.880718 ... 81.752274 83.552988 19 2688.0 84.108772 ... 81.752274 81.401408
20 2816.0 81.981598 ... 79.298560 78.442822 20 2816.0 83.552120 ... 78.726003 79.298560
21 2944.0 81.564701 ... 77.505492 77.265163 21 2944.0 80.510553 ... 78.112900 75.853930
22 3072.0 81.355034 ... 82.782312 82.903517 22 3072.0 81.825298 ... 83.146995 81.589488
23 3200.0 81.321474 ... 85.906037 87.671229 23 3200.0 84.768213 ... 86.253369 90.014065
24 3328.0 82.748617 ... 81.994643 82.275764 24 3328.0 83.226931 ... 81.622783 86.632127
25 3456.0 81.683457 ... 81.932484 84.244062 25 3456.0 81.600781 ... 83.980802 84.068369
26 3584.0 87.211821 ... 87.722333 91.284657 26 3584.0 87.211821 ... 85.797134 85.308722
27 3712.0 85.675250 ... 82.017526 86.267139 27 3712.0 85.822459 ... 79.472826 78.721311
28 3840.0 84.485870 ... 86.738820 86.602979 28 3840.0 83.465663 ... 86.197974 86.265212
29 3968.0 92.864488 ... 87.284643 87.159957 29 3968.0 93.219206 ... 86.849777 87.222259
30 4096.0 93.531519 ... 88.885914 88.827088 30 4096.0 93.206754 ... 89.958266 89.777746
[31 rows x 5 columns] [31 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 13.178 seconds)</p> <p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 5.162 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>

2
getting-started/tutorials/04-low-memory-dropout.html
View File

@@ -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><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> </dd>
</dl> </dl>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.189 seconds)</p> <p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.187 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-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"> <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> <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>

10
getting-started/tutorials/sg_execution_times.html
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>03:36.949</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p> <p><strong>03:28.909</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%" />
@@ -183,19 +183,19 @@
</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>02:13.178</p></td> <td><p>02:05.162</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>01:12.586</p></td> <td><p>01:12.596</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>00:10.996</p></td> <td><p>00:10.964</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="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> <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>00:00.189</p></td> <td><p>00:00.187</p></td>
<td><p>0.0 MB</p></td> <td><p>0.0 MB</p></td>
</tr> </tr>
</tbody> </tbody>

2
searchindex.js
View File

File diff suppressed because one or more lines are too long