[GH-PAGES] Updated website

This commit is contained in:
Philippe Tillet
2022-06-26 00:50:12 +00:00
parent 37abd97851
commit 09a0e3767a
159 changed files with 246 additions and 246 deletions

View File

@@ -1,4 +1,4 @@
# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: e1bb0268286c4d5902ba27e6c58590e0
config: d4e4dcd30405f5206b28830d08ce76de
tags: 645f666f9bcd5a90fca523b33c5a78b7

Binary file not shown.

Binary file not shown.

Binary file not shown.

Before

Width:  |  Height:  |  Size: 24 KiB

After

Width:  |  Height:  |  Size: 24 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: 36 KiB

After

Width:  |  Height:  |  Size: 37 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 23 KiB

After

Width:  |  Height:  |  Size: 23 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 59 KiB

After

Width:  |  Height:  |  Size: 59 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 34 KiB

After

Width:  |  Height:  |  Size: 34 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 36 KiB

After

Width:  |  Height:  |  Size: 36 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 22 KiB

After

Width:  |  Height:  |  Size: 22 KiB

View File

@@ -235,17 +235,17 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
0 4096.0 9.600000 9.600000
1 8192.0 19.200000 19.200000
2 16384.0 38.400001 38.400001
3 32768.0 76.800002 76.800002
3 32768.0 63.999998 76.800002
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
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 702.171410
9 2097152.0 722.823517 722.823517
10 4194304.0 780.190482 780.190482
11 8388608.0 812.429770 812.429770
12 16777216.0 833.084721 833.084721
13 33554432.0 842.004273 843.811163
13 33554432.0 842.004273 842.004273
14 67108864.0 847.448255 848.362445
15 134217728.0 849.737435 850.656574
@@ -255,7 +255,7 @@ 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:** ( 1 minutes 40.669 seconds)
**Total running time of the script:** ( 1 minutes 39.355 seconds)
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:

View File

@@ -278,17 +278,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
softmax-performance:
N Triton Torch (native) Torch (jit)
0 256.0 546.133347 512.000001 190.511628
0 256.0 546.133347 512.000001 188.321838
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 585.142849 154.566038
3 640.0 706.206879 640.000002 158.759699
3 640.0 706.206879 640.000002 160.000000
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 812.359066 406.179533 198.530610
94 12288.0 812.429770 415.661740 198.794749
95 12416.0 812.498981 411.722274 198.457532
96 12544.0 810.925276 412.546756 198.716830
97 12672.0 811.007961 412.097543 198.776477
93 12160.0 812.359066 406.179533 198.733401
94 12288.0 812.429770 416.101597 198.995960
95 12416.0 812.498981 411.722274 198.655991
96 12544.0 810.925276 412.971190 198.913776
97 12672.0 811.007961 412.097543 199.069228
[98 rows x 4 columns]
@@ -306,7 +306,7 @@ In the above plot, we can see that:
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 3 minutes 22.074 seconds)
**Total running time of the script:** ( 3 minutes 22.426 seconds)
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:

View File

@@ -459,37 +459,37 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
matmul-performance:
M cuBLAS ... Triton Triton (+ LeakyReLU)
0 256.0 2.730667 ... 3.276800 2.978909
1 384.0 7.372800 ... 7.899428 8.507077
2 512.0 14.563555 ... 15.420235 16.384000
0 256.0 2.978909 ... 2.978909 3.276800
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 15.420235 15.420235
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 35.389441 34.028308
5 896.0 37.971025 ... 40.140799 39.025776
5 896.0 39.025776 ... 40.140799 39.025776
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 45.242181 ... 48.161033 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 68.147202 66.485074
10 1536.0 79.526831 ... 80.430545 78.643199
11 1664.0 63.372618 ... 63.372618 62.492442
12 1792.0 72.983276 ... 73.460287 59.467852
13 1920.0 69.467336 ... 71.257735 70.892307
14 2048.0 73.262953 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.494120 86.367588
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.711310 75.118889
18 2560.0 77.833728 ... 82.125311 81.512437
19 2688.0 83.737433 ... 91.185232 89.254248
20 2816.0 80.617762 ... 84.523664 83.074685
21 2944.0 80.767437 ... 83.060049 82.509987
22 3072.0 81.121923 ... 89.310890 87.381335
23 3200.0 84.656085 ... 96.969694 95.380032
24 3328.0 83.226931 ... 85.908470 84.101981
25 3456.0 81.766291 ... 87.158452 81.026701
26 3584.0 87.000867 ... 98.808123 97.153313
27 3712.0 82.355598 ... 89.114488 82.593917
28 3840.0 84.615146 ... 92.934455 84.552479
29 3968.0 91.816356 ... 87.097744 91.540836
30 4096.0 86.482237 ... 89.777746 91.491294
10 1536.0 80.430545 ... 81.355034 78.643199
11 1664.0 63.372618 ... 62.929456 62.492442
12 1792.0 72.983276 ... 72.983276 59.467852
13 1920.0 68.776119 ... 71.626943 71.257735
14 2048.0 73.584279 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.876193 85.998493
16 2304.0 68.643310 ... 78.064941 77.057651
17 2432.0 71.305746 ... 86.179335 85.393507
18 2560.0 77.833728 ... 82.956960 81.512437
19 2688.0 84.108772 ... 91.185232 88.216412
20 2816.0 83.074685 ... 84.687779 83.074685
21 2944.0 82.102191 ... 83.617504 82.646820
22 3072.0 82.420822 ... 89.170242 88.335577
23 3200.0 84.432717 ... 97.338403 95.665176
24 3328.0 82.464255 ... 85.602017 83.516586
25 3456.0 81.849303 ... 92.033756 90.281712
26 3584.0 84.745889 ... 91.284657 95.960933
27 3712.0 85.822459 ... 88.483034 87.552452
28 3840.0 81.019778 ... 86.265212 89.620748
29 3968.0 86.911637 ... 92.512459 84.038524
30 4096.0 93.792965 ... 92.755862 87.552332
[31 rows x 5 columns]
@@ -499,7 +499,7 @@ 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:** ( 6 minutes 4.553 seconds)
**Total running time of the script:** ( 6 minutes 0.489 seconds)
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:

View File

@@ -240,7 +240,7 @@ References
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 0 minutes 0.469 seconds)
**Total running time of the script:** ( 0 minutes 0.467 seconds)
.. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py:

View File

@@ -38,20 +38,20 @@ Layer Normalization
layer-norm:
N Triton Torch Apex
0 1024.0 585.142849 277.694907 481.882344
0 1024.0 585.142849 277.694907 468.114273
1 1536.0 630.153868 323.368435 511.999982
2 2048.0 682.666643 334.367358 520.126988
3 2560.0 694.237267 362.477870 512.000013
4 3072.0 712.347810 375.206126 501.551037
3 2560.0 694.237267 365.714281 512.000013
4 3072.0 712.347810 378.092307 501.551037
5 3584.0 725.873439 384.859062 455.111115
6 4096.0 728.177767 381.023256 455.111095
7 4608.0 676.403666 394.267384 428.651163
6 4096.0 728.177767 381.023256 458.293714
7 4608.0 676.403666 396.387087 431.157877
8 5120.0 688.403381 397.669909 422.268057
9 5632.0 704.000002 395.228063 417.185184
9 5632.0 704.000002 396.969169 417.185184
10 6144.0 702.171410 402.885254 411.313806
11 6656.0 705.271522 398.861429 400.360920
11 6656.0 705.271522 400.360920 400.360920
12 7168.0 690.891575 396.844306 387.459443
13 7680.0 682.666656 392.587863 387.634072
13 7680.0 682.666656 393.846167 387.634072
14 8192.0 636.271854 393.609605 371.308771
15 8704.0 630.153861 389.005597 380.502740
16 9216.0 609.322328 407.337026 383.999986
@@ -59,15 +59,15 @@ Layer Normalization
18 10240.0 566.920437 408.578556 382.803739
19 10752.0 549.623009 411.559798 381.445676
20 11264.0 536.380957 406.826188 373.134567
21 11776.0 523.377770 409.599991 377.587162
22 12288.0 516.031509 413.911572 383.251457
23 12800.0 505.679014 410.420828 376.470582
24 13312.0 494.180982 405.699062 376.310952
21 11776.0 523.377770 410.492372 378.345375
22 12288.0 516.031509 414.784810 383.251457
23 12800.0 505.679014 410.420828 377.163903
24 13312.0 494.180982 405.699062 376.976995
25 13824.0 482.934503 411.888257 379.389355
26 14336.0 471.967074 406.695045 374.185964
27 14848.0 461.297068 408.192434 375.304904
28 15360.0 454.269882 406.214870 378.092307
29 15872.0 447.887117 406.974373 376.225175
29 15872.0 447.887117 407.627589 376.225175
@@ -389,7 +389,7 @@ Layer Normalization
.. rst-class:: sphx-glr-timing
**Total running time of the script:** ( 5 minutes 23.550 seconds)
**Total running time of the script:** ( 5 minutes 20.636 seconds)
.. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py:

View File

@@ -5,16 +5,16 @@
Computation times
=================
**16:31.316** total execution time for **getting-started_tutorials** files:
**16:23.374** total execution time for **getting-started_tutorials** files:
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:04.553 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:00.489 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:23.550 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:20.636 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.074 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:22.426 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:40.669 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:39.355 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.469 | 0.0 MB |
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.467 | 0.0 MB |
+---------------------------------------------------------------------------------------------------------+-----------+--------+

View File

@@ -325,22 +325,22 @@ for different problem sizes.</p>
0 4096.0 9.600000 9.600000
1 8192.0 19.200000 19.200000
2 16384.0 38.400001 38.400001
3 32768.0 76.800002 76.800002
3 32768.0 63.999998 76.800002
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
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 702.171410
9 2097152.0 722.823517 722.823517
10 4194304.0 780.190482 780.190482
11 8388608.0 812.429770 812.429770
12 16777216.0 833.084721 833.084721
13 33554432.0 842.004273 843.811163
13 33554432.0 842.004273 842.004273
14 67108864.0 847.448255 848.362445
15 134217728.0 849.737435 850.656574
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 40.669 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 39.355 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

@@ -369,17 +369,17 @@ We will then compare its performance against (1) <code class="code docutils lite
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
N Triton Torch (native) Torch (jit)
0 256.0 546.133347 512.000001 190.511628
0 256.0 546.133347 512.000001 188.321838
1 384.0 614.400016 585.142862 153.600004
2 512.0 655.360017 585.142849 154.566038
3 640.0 706.206879 640.000002 158.759699
3 640.0 706.206879 640.000002 160.000000
4 768.0 722.823517 664.216187 162.754967
.. ... ... ... ...
93 12160.0 812.359066 406.179533 198.530610
94 12288.0 812.429770 415.661740 198.794749
95 12416.0 812.498981 411.722274 198.457532
96 12544.0 810.925276 412.546756 198.716830
97 12672.0 811.007961 412.097543 198.776477
93 12160.0 812.359066 406.179533 198.733401
94 12288.0 812.429770 416.101597 198.995960
95 12416.0 812.498981 411.722274 198.655991
96 12544.0 810.925276 412.971190 198.913776
97 12672.0 811.007961 412.097543 199.069228
[98 rows x 4 columns]
</pre></div>
@@ -392,7 +392,7 @@ 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 22.074 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 22.426 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

@@ -565,42 +565,42 @@ 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 ... 7.899428 8.507077
2 512.0 14.563555 ... 15.420235 16.384000
0 256.0 2.978909 ... 2.978909 3.276800
1 384.0 7.372800 ... 8.507077 8.507077
2 512.0 14.563555 ... 15.420235 15.420235
3 640.0 22.260869 ... 24.380953 24.380953
4 768.0 32.768000 ... 35.389441 34.028308
5 896.0 37.971025 ... 40.140799 39.025776
5 896.0 39.025776 ... 40.140799 39.025776
6 1024.0 49.932191 ... 53.773130 52.428801
7 1152.0 45.242181 ... 48.161033 47.396572
8 1280.0 51.200001 ... 57.690139 57.690139
9 1408.0 64.138541 ... 68.147202 66.485074
10 1536.0 79.526831 ... 80.430545 78.643199
11 1664.0 63.372618 ... 63.372618 62.492442
12 1792.0 72.983276 ... 73.460287 59.467852
13 1920.0 69.467336 ... 71.257735 70.892307
14 2048.0 73.262953 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.494120 86.367588
16 2304.0 68.446623 ... 78.064941 77.307030
17 2432.0 71.305746 ... 86.711310 75.118889
18 2560.0 77.833728 ... 82.125311 81.512437
19 2688.0 83.737433 ... 91.185232 89.254248
20 2816.0 80.617762 ... 84.523664 83.074685
21 2944.0 80.767437 ... 83.060049 82.509987
22 3072.0 81.121923 ... 89.310890 87.381335
23 3200.0 84.656085 ... 96.969694 95.380032
24 3328.0 83.226931 ... 85.908470 84.101981
25 3456.0 81.766291 ... 87.158452 81.026701
26 3584.0 87.000867 ... 98.808123 97.153313
27 3712.0 82.355598 ... 89.114488 82.593917
28 3840.0 84.615146 ... 92.934455 84.552479
29 3968.0 91.816356 ... 87.097744 91.540836
30 4096.0 86.482237 ... 89.777746 91.491294
10 1536.0 80.430545 ... 81.355034 78.643199
11 1664.0 63.372618 ... 62.929456 62.492442
12 1792.0 72.983276 ... 72.983276 59.467852
13 1920.0 68.776119 ... 71.626943 71.257735
14 2048.0 73.584279 ... 78.398206 77.314362
15 2176.0 83.500614 ... 87.876193 85.998493
16 2304.0 68.643310 ... 78.064941 77.057651
17 2432.0 71.305746 ... 86.179335 85.393507
18 2560.0 77.833728 ... 82.956960 81.512437
19 2688.0 84.108772 ... 91.185232 88.216412
20 2816.0 83.074685 ... 84.687779 83.074685
21 2944.0 82.102191 ... 83.617504 82.646820
22 3072.0 82.420822 ... 89.170242 88.335577
23 3200.0 84.432717 ... 97.338403 95.665176
24 3328.0 82.464255 ... 85.602017 83.516586
25 3456.0 81.849303 ... 92.033756 90.281712
26 3584.0 84.745889 ... 91.284657 95.960933
27 3712.0 85.822459 ... 88.483034 87.552452
28 3840.0 81.019778 ... 86.265212 89.620748
29 3968.0 86.911637 ... 92.512459 84.038524
30 4096.0 93.792965 ... 92.755862 87.552332
[31 rows x 5 columns]
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 4.553 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 6 minutes 0.489 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

@@ -372,7 +372,7 @@ to explore the <cite>triton/language/random</cite> folder!</p>
<dd><p>Nitish Srivastava and Geoffrey Hinton and Alex Krizhevsky and Ilya Sutskever and Ruslan Salakhutdinov, “Dropout: A Simple Way to Prevent Neural Networks from Overfitting”, JMLR 2014</p>
</dd>
</dl>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.469 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 0.467 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-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>

View File

@@ -194,20 +194,20 @@ to download the full example code</p>
<p class="sphx-glr-script-out">Out:</p>
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>layer-norm:
N Triton Torch Apex
0 1024.0 585.142849 277.694907 481.882344
0 1024.0 585.142849 277.694907 468.114273
1 1536.0 630.153868 323.368435 511.999982
2 2048.0 682.666643 334.367358 520.126988
3 2560.0 694.237267 362.477870 512.000013
4 3072.0 712.347810 375.206126 501.551037
3 2560.0 694.237267 365.714281 512.000013
4 3072.0 712.347810 378.092307 501.551037
5 3584.0 725.873439 384.859062 455.111115
6 4096.0 728.177767 381.023256 455.111095
7 4608.0 676.403666 394.267384 428.651163
6 4096.0 728.177767 381.023256 458.293714
7 4608.0 676.403666 396.387087 431.157877
8 5120.0 688.403381 397.669909 422.268057
9 5632.0 704.000002 395.228063 417.185184
9 5632.0 704.000002 396.969169 417.185184
10 6144.0 702.171410 402.885254 411.313806
11 6656.0 705.271522 398.861429 400.360920
11 6656.0 705.271522 400.360920 400.360920
12 7168.0 690.891575 396.844306 387.459443
13 7680.0 682.666656 392.587863 387.634072
13 7680.0 682.666656 393.846167 387.634072
14 8192.0 636.271854 393.609605 371.308771
15 8704.0 630.153861 389.005597 380.502740
16 9216.0 609.322328 407.337026 383.999986
@@ -215,15 +215,15 @@ to download the full example code</p>
18 10240.0 566.920437 408.578556 382.803739
19 10752.0 549.623009 411.559798 381.445676
20 11264.0 536.380957 406.826188 373.134567
21 11776.0 523.377770 409.599991 377.587162
22 12288.0 516.031509 413.911572 383.251457
23 12800.0 505.679014 410.420828 376.470582
24 13312.0 494.180982 405.699062 376.310952
21 11776.0 523.377770 410.492372 378.345375
22 12288.0 516.031509 414.784810 383.251457
23 12800.0 505.679014 410.420828 377.163903
24 13312.0 494.180982 405.699062 376.976995
25 13824.0 482.934503 411.888257 379.389355
26 14336.0 471.967074 406.695045 374.185964
27 14848.0 461.297068 408.192434 375.304904
28 15360.0 454.269882 406.214870 378.092307
29 15872.0 447.887117 406.974373 376.225175
29 15872.0 447.887117 407.627589 376.225175
</pre></div>
</div>
<div class="line-block">
@@ -537,7 +537,7 @@ 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">&#39;.&#39;</span><span class="p">,</span> <span class="n">print_data</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
</pre></div>
</div>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 23.550 seconds)</p>
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 20.636 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>

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>16:31.316</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<p><strong>16:23.374</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 85%" />
@@ -183,23 +183,23 @@
</colgroup>
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="03-matrix-multiplication.html#sphx-glr-getting-started-tutorials-03-matrix-multiplication-py"><span class="std std-ref">Matrix Multiplication</span></a> (<code class="docutils literal notranslate"><span class="pre">03-matrix-multiplication.py</span></code>)</p></td>
<td><p>06:04.553</p></td>
<td><p>06:00.489</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="05-layer-norm.html#sphx-glr-getting-started-tutorials-05-layer-norm-py"><span class="std std-ref">Layer Normalization</span></a> (<code class="docutils literal notranslate"><span class="pre">05-layer-norm.py</span></code>)</p></td>
<td><p>05:23.550</p></td>
<td><p>05:20.636</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="02-fused-softmax.html#sphx-glr-getting-started-tutorials-02-fused-softmax-py"><span class="std std-ref">Fused Softmax</span></a> (<code class="docutils literal notranslate"><span class="pre">02-fused-softmax.py</span></code>)</p></td>
<td><p>03:22.074</p></td>
<td><p>03:22.426</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>01:40.669</p></td>
<td><p>01:39.355</p></td>
<td><p>0.0 MB</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="04-low-memory-dropout.html#sphx-glr-getting-started-tutorials-04-low-memory-dropout-py"><span class="std std-ref">Low-Memory Dropout</span></a> (<code class="docutils literal notranslate"><span class="pre">04-low-memory-dropout.py</span></code>)</p></td>
<td><p>00:00.469</p></td>
<td><p>00:00.467</p></td>
<td><p>0.0 MB</p></td>
</tr>
</tbody>

File diff suppressed because one or more lines are too long

View File

@@ -1,4 +1,4 @@
# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
config: e822ff792fcc42efa5c048599d2f55c7
config: 37ba5f351b70fa5546a6b2ed0bf86515
tags: 645f666f9bcd5a90fca523b33c5a78b7

Binary file not shown.

Binary file not shown.

Some files were not shown because too many files have changed in this diff Show More