[GH-PAGES] Updated website
This commit is contained in:
Philippe Tillet
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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 2fc34eba5cab3261fb416f790de3dea5
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config: 4efd405a538cd3999fe11a9773ae09d6
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tags: 645f666f9bcd5a90fca523b33c5a78b7
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@@ -254,7 +254,7 @@ 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 43.959 seconds)
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**Total running time of the script:** ( 1 minutes 44.476 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -289,14 +289,14 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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.. ... ... ... ...
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[98 rows x 4 columns]
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@@ -314,7 +314,7 @@ 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 23.286 seconds)
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**Total running time of the script:** ( 3 minutes 22.055 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -462,8 +462,8 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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matmul-performance:
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M cuBLAS ... Triton Triton (+ LeakyReLU)
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@@ -474,25 +474,25 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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[31 rows x 5 columns]
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@@ -502,7 +502,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 5 minutes 24.712 seconds)
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**Total running time of the script:** ( 5 minutes 24.771 seconds)
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.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
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@@ -38,36 +38,36 @@ Layer Normalization
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layer-norm-backward:
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N Triton Torch Apex
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17 9728.0 438.857162 280.278512 288.950501
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||||
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||||
11 6656.0 525.473708 256.000009 286.279570
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12 7168.0 507.469040 262.243907 288.644296
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13 7680.0 482.513091 260.338991 277.172933
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14 8192.0 461.521112 268.957600 287.018988
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15 8704.0 417.791980 267.472468 284.987724
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16 9216.0 429.483477 273.066667 289.507855
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17 9728.0 439.683593 280.615388 288.950501
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18 10240.0 447.650282 286.433562 290.496460
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||||
19 10752.0 430.079980 246.464170 290.267711
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||||
20 11264.0 429.104745 245.091565 285.767446
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21 11776.0 421.198220 249.227509 288.686414
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||||
22 12288.0 420.102570 254.344118 294.911986
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||||
23 12800.0 415.135142 253.465340 289.811310
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||||
24 13312.0 412.242569 252.360194 290.179836
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25 13824.0 405.098897 257.190689 292.571423
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||||
26 14336.0 397.761846 254.673567 286.481278
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19 10752.0 429.364408 246.464170 290.267711
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||||
20 11264.0 430.471331 245.313973 285.767446
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||||
21 11776.0 421.826879 249.227509 288.686414
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||||
22 12288.0 420.102570 254.453844 294.911986
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||||
23 12800.0 414.574901 253.465340 289.811310
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||||
24 13312.0 412.242569 252.759501 289.916513
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||||
25 13824.0 406.090579 257.290415 292.571423
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||||
26 14336.0 398.222222 254.862216 286.481278
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||||
27 14848.0 384.414233 257.108233 289.246765
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||||
28 15360.0 374.634130 257.790220 287.550706
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||||
29 15872.0 366.982663 262.708969 291.229369
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||||
28 15360.0 374.634130 257.610071 288.000007
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||||
29 15872.0 366.982663 261.986243 290.120338
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@@ -329,7 +329,7 @@ Layer Normalization
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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 2 minutes 10.850 seconds)
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**Total running time of the script:** ( 2 minutes 11.381 seconds)
|
||||
|
||||
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||||
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:
|
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||||
@@ -5,16 +5,16 @@
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||||
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Computation times
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=================
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||||
**12:42.818** total execution time for **getting-started_tutorials** files:
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**12:42.694** total execution time for **getting-started_tutorials** files:
|
||||
|
||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.712 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:24.771 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:23.286 | 0.0 MB |
|
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| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.055 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:10.850 | 0.0 MB |
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| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:11.381 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:43.959 | 0.0 MB |
|
||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:44.476 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.011 | 0.0 MB |
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+---------------------------------------------------------------------------------------------------------+-----------+--------+
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@@ -324,22 +324,22 @@ for different problem sizes.</p>
|
||||
0 4096.0 9.600000 9.600000
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1 8192.0 19.200000 19.200000
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2 16384.0 38.400001 38.400001
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3 32768.0 76.800002 76.800002
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3 32768.0 63.999998 76.800002
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4 65536.0 127.999995 127.999995
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5 131072.0 219.428568 219.428568
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6 262144.0 341.333321 341.333321
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6 262144.0 341.333321 384.000001
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7 524288.0 472.615390 472.615390
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8 1048576.0 614.400016 614.400016
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9 2097152.0 722.823517 722.823517
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10 4194304.0 780.190482 780.190482
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11 8388608.0 812.429770 812.429770
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12 16777216.0 833.084721 833.084721
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13 33554432.0 842.004273 842.004273
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13 33554432.0 842.004273 843.811163
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14 67108864.0 847.448255 848.362445
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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 43.959 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 44.476 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>
|
||||
|
||||
@@ -377,14 +377,14 @@ We will then compare its performance against (1) <code class="code docutils lite
|
||||
0 256.0 512.000001 546.133347 188.321838
|
||||
1 384.0 614.400016 585.142862 153.600004
|
||||
2 512.0 655.360017 606.814814 154.566038
|
||||
3 640.0 682.666684 640.000002 160.000000
|
||||
3 640.0 682.666684 640.000002 158.759699
|
||||
4 768.0 722.823517 664.216187 162.754967
|
||||
.. ... ... ... ...
|
||||
93 12160.0 814.058574 406.179533 198.733401
|
||||
94 12288.0 814.111783 415.661740 199.096718
|
||||
95 12416.0 812.498981 412.149375 198.755369
|
||||
96 12544.0 812.566838 412.971190 199.012395
|
||||
97 12672.0 812.633240 412.097543 199.069228
|
||||
93 12160.0 814.058574 405.755985 198.530610
|
||||
94 12288.0 814.111783 415.661740 198.895304
|
||||
95 12416.0 812.498981 412.149375 198.457532
|
||||
96 12544.0 812.566838 412.758863 198.716830
|
||||
97 12672.0 812.633240 412.097543 198.776477
|
||||
|
||||
[98 rows x 4 columns]
|
||||
</pre></div>
|
||||
@@ -397,7 +397,7 @@ 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 23.286 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 22.055 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>
|
||||
|
||||
@@ -568,8 +568,8 @@ 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)
|
||||
0 256.0 2.730667 ... 3.276800 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 7.899428
|
||||
0 256.0 2.978909 ... 3.276800 2.978909
|
||||
1 384.0 7.372800 ... 8.507077 8.507077
|
||||
2 512.0 14.563555 ... 16.384000 16.384000
|
||||
3 640.0 22.260869 ... 24.380953 24.380953
|
||||
4 768.0 32.768000 ... 34.028308 34.028308
|
||||
@@ -580,30 +580,30 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
||||
9 1408.0 64.138541 ... 67.305878 66.485074
|
||||
10 1536.0 80.430545 ... 79.526831 78.643199
|
||||
11 1664.0 62.929456 ... 62.061463 62.061463
|
||||
12 1792.0 72.512412 ... 71.588687 71.588687
|
||||
13 1920.0 69.120002 ... 70.172588 70.530615
|
||||
14 2048.0 73.908442 ... 77.314362 76.959706
|
||||
15 2176.0 83.155572 ... 85.998493 85.632545
|
||||
16 2304.0 68.251065 ... 76.809875 76.563695
|
||||
17 2432.0 71.305746 ... 74.918570 84.877538
|
||||
18 2560.0 78.019048 ... 81.108913 81.108913
|
||||
19 2688.0 83.186525 ... 89.676257 89.044730
|
||||
20 2816.0 81.674548 ... 82.759409 83.392363
|
||||
21 2944.0 82.921853 ... 81.564701 82.237674
|
||||
22 3072.0 82.062468 ... 89.030036 88.197981
|
||||
23 3200.0 83.989503 ... 95.665176 94.814812
|
||||
24 3328.0 83.034941 ... 85.297742 82.939284
|
||||
25 3456.0 81.849303 ... 85.767626 90.281712
|
||||
26 3584.0 87.042978 ... 98.483450 92.505546
|
||||
27 3712.0 82.287760 ... 87.629253 86.791782
|
||||
28 3840.0 84.550462 ... 92.083268 85.399230
|
||||
29 3968.0 92.582651 ... 84.212518 90.926929
|
||||
30 4096.0 87.438257 ... 86.536250 91.678778
|
||||
12 1792.0 72.512412 ... 72.047592 71.588687
|
||||
13 1920.0 69.120002 ... 70.530615 70.530615
|
||||
14 2048.0 73.908442 ... 76.959706 76.959706
|
||||
15 2176.0 83.500614 ... 85.998493 85.269692
|
||||
16 2304.0 68.251065 ... 76.563695 76.563695
|
||||
17 2432.0 71.305746 ... 75.118889 84.877538
|
||||
18 2560.0 78.019048 ... 81.512437 80.511054
|
||||
19 2688.0 83.277839 ... 88.628636 89.044730
|
||||
20 2816.0 80.916902 ... 83.233226 83.233226
|
||||
21 2944.0 81.631503 ... 82.921853 82.102191
|
||||
22 3072.0 81.825298 ... 83.453353 88.197981
|
||||
23 3200.0 84.321474 ... 95.238096 95.096582
|
||||
24 3328.0 82.748617 ... 85.703924 81.994643
|
||||
25 3456.0 82.688790 ... 90.994998 90.790053
|
||||
26 3584.0 85.879071 ... 90.367227 97.522120
|
||||
27 3712.0 85.748791 ... 91.147215 87.170458
|
||||
28 3840.0 81.798814 ... 84.098385 91.398346
|
||||
29 3968.0 86.973584 ... 91.472214 83.692683
|
||||
30 4096.0 93.792965 ... 92.245860 85.215917
|
||||
|
||||
[31 rows x 5 columns]
|
||||
</pre></div>
|
||||
</div>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 24.712 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 24.771 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>
|
||||
|
||||
@@ -194,36 +194,36 @@ 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-backward:
|
||||
N Triton Torch Apex
|
||||
0 1024.0 307.200008 99.096776 311.088617
|
||||
1 1536.0 351.085717 133.083026 341.333333
|
||||
2 2048.0 423.724127 162.217818 338.979315
|
||||
3 2560.0 461.954908 182.857144 330.322572
|
||||
4 3072.0 515.580429 191.501303 319.168834
|
||||
5 3584.0 554.941930 208.271186 307.199992
|
||||
6 4096.0 568.231237 220.412561 297.890900
|
||||
7 4608.0 498.162157 231.849059 287.251954
|
||||
0 1024.0 311.088617 99.096776 307.200008
|
||||
1 1536.0 354.461542 133.083026 338.201833
|
||||
2 2048.0 423.724127 162.217818 325.509933
|
||||
3 2560.0 461.954908 182.314537 325.079368
|
||||
4 3072.0 511.999982 191.005181 316.429186
|
||||
5 3584.0 551.384634 207.768111 307.199992
|
||||
6 4096.0 568.231237 219.919464 298.796351
|
||||
7 4608.0 498.162157 231.849059 291.799469
|
||||
8 5120.0 525.128191 242.845844 286.433562
|
||||
9 5632.0 538.517949 243.107920 290.683877
|
||||
10 6144.0 544.118087 248.661056 285.767458
|
||||
11 6656.0 527.207907 256.000009 286.279570
|
||||
12 7168.0 507.469040 262.243907 288.160801
|
||||
13 7680.0 482.513091 260.707203 277.172933
|
||||
14 8192.0 460.440290 268.957600 286.600589
|
||||
15 8704.0 416.958106 267.815384 284.987724
|
||||
16 9216.0 428.651187 272.729961 289.507855
|
||||
17 9728.0 438.857162 280.278512 288.950501
|
||||
10 6144.0 542.117638 248.661056 286.322318
|
||||
11 6656.0 525.473708 256.000009 286.279570
|
||||
12 7168.0 507.469040 262.243907 288.644296
|
||||
13 7680.0 482.513091 260.338991 277.172933
|
||||
14 8192.0 461.521112 268.957600 287.018988
|
||||
15 8704.0 417.791980 267.472468 284.987724
|
||||
16 9216.0 429.483477 273.066667 289.507855
|
||||
17 9728.0 439.683593 280.615388 288.950501
|
||||
18 10240.0 447.650282 286.433562 290.496460
|
||||
19 10752.0 430.079980 246.464170 290.267711
|
||||
20 11264.0 429.104745 245.091565 285.767446
|
||||
21 11776.0 421.198220 249.227509 288.686414
|
||||
22 12288.0 420.102570 254.344118 294.911986
|
||||
23 12800.0 415.135142 253.465340 289.811310
|
||||
24 13312.0 412.242569 252.360194 290.179836
|
||||
25 13824.0 405.098897 257.190689 292.571423
|
||||
26 14336.0 397.761846 254.673567 286.481278
|
||||
19 10752.0 429.364408 246.464170 290.267711
|
||||
20 11264.0 430.471331 245.313973 285.767446
|
||||
21 11776.0 421.826879 249.227509 288.686414
|
||||
22 12288.0 420.102570 254.453844 294.911986
|
||||
23 12800.0 414.574901 253.465340 289.811310
|
||||
24 13312.0 412.242569 252.759501 289.916513
|
||||
25 13824.0 406.090579 257.290415 292.571423
|
||||
26 14336.0 398.222222 254.862216 286.481278
|
||||
27 14848.0 384.414233 257.108233 289.246765
|
||||
28 15360.0 374.634130 257.790220 287.550706
|
||||
29 15872.0 366.982663 262.708969 291.229369
|
||||
28 15360.0 374.634130 257.610071 288.000007
|
||||
29 15872.0 366.982663 261.986243 290.120338
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="line-block">
|
||||
@@ -477,7 +477,7 @@ 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> ( 2 minutes 10.850 seconds)</p>
|
||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 11.381 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>12:42.818</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||
<p><strong>12:42.694</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>05:24.712</p></td>
|
||||
<td><p>05:24.771</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>03:23.286</p></td>
|
||||
<td><p>03:22.055</p></td>
|
||||
<td><p>0.0 MB</p></td>
|
||||
</tr>
|
||||
<tr class="row-odd"><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>02:10.850</p></td>
|
||||
<td><p>02:11.381</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>01:43.959</p></td>
|
||||
<td><p>01:44.476</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>
|
||||
|
||||
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Reference in New Issue
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