[GH-PAGES] Updated website
Before Width: | Height: | Size: 24 KiB After Width: | Height: | Size: 24 KiB |
Before Width: | Height: | Size: 16 KiB After Width: | Height: | Size: 15 KiB |
Before Width: | Height: | Size: 37 KiB After Width: | Height: | Size: 37 KiB |
Before Width: | Height: | Size: 24 KiB After Width: | Height: | Size: 24 KiB |
Before Width: | Height: | Size: 56 KiB After Width: | Height: | Size: 54 KiB |
Before Width: | Height: | Size: 32 KiB After Width: | Height: | Size: 31 KiB |
@@ -237,7 +237,7 @@ We can now run the decorated function above. Pass `print_data=True` to see the p
|
|||||||
3 32768.0 76.800002 76.800002
|
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 384.000001
|
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 10.996 seconds)
|
**Total running time of the script:** ( 0 minutes 11.022 seconds)
|
||||||
|
|
||||||
|
|
||||||
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
|
.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
|
||||||
|
@@ -301,15 +301,15 @@ 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 585.142862 151.703707
|
||||||
2 512.0 630.153853 585.142849 154.566038
|
2 512.0 630.153853 606.814814 154.566038
|
||||||
3 640.0 682.666684 640.000002 160.000000
|
3 640.0 660.645170 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 406.179533 199.038365
|
93 12160.0 812.359066 405.755985 199.038365
|
||||||
94 12288.0 812.429770 416.101597 199.298541
|
94 12288.0 812.429770 415.661740 199.298541
|
||||||
95 12416.0 810.840807 412.577363 198.954424
|
95 12416.0 810.840807 411.722274 198.954424
|
||||||
96 12544.0 810.925276 412.971190 199.209928
|
96 12544.0 809.290334 412.971190 199.209928
|
||||||
97 12672.0 811.007961 412.097543 199.264875
|
97 12672.0 811.007961 412.097543 199.264875
|
||||||
|
|
||||||
[98 rows x 4 columns]
|
[98 rows x 4 columns]
|
||||||
@@ -329,7 +329,7 @@ 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 12.639 seconds)
|
**Total running time of the script:** ( 1 minutes 12.632 seconds)
|
||||||
|
|
||||||
|
|
||||||
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
|
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
|
||||||
|
@@ -470,8 +470,8 @@ 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 0.512000 ... 0.512000 0.512000
|
0 128.0 0.455111 ... 0.512000 0.512000
|
||||||
1 256.0 2.978909 ... 3.276800 2.978909
|
1 256.0 2.730667 ... 3.276800 2.978909
|
||||||
2 384.0 7.372800 ... 8.507077 8.507077
|
2 384.0 7.372800 ... 8.507077 8.507077
|
||||||
3 512.0 14.563555 ... 16.384000 16.384000
|
3 512.0 14.563555 ... 16.384000 16.384000
|
||||||
4 640.0 22.260869 ... 24.380953 24.380953
|
4 640.0 22.260869 ... 24.380953 24.380953
|
||||||
@@ -479,29 +479,29 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
|||||||
6 896.0 39.025776 ... 40.140799 39.025776
|
6 896.0 39.025776 ... 40.140799 39.025776
|
||||||
7 1024.0 49.932191 ... 53.773130 52.428801
|
7 1024.0 49.932191 ... 53.773130 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 ... 56.888887 56.888887
|
9 1280.0 51.200001 ... 56.888887 56.109587
|
||||||
10 1408.0 64.138541 ... 64.902096 64.902096
|
10 1408.0 64.138541 ... 64.902096 57.997615
|
||||||
11 1536.0 80.430545 ... 76.933564 76.106321
|
11 1536.0 78.643199 ... 76.106321 75.296679
|
||||||
12 1664.0 63.372618 ... 62.492442 62.492442
|
12 1664.0 63.372618 ... 62.492442 62.061463
|
||||||
13 1792.0 72.983276 ... 70.246402 69.810085
|
13 1792.0 72.983276 ... 70.246402 69.379162
|
||||||
14 1920.0 69.467336 ... 68.098521 70.530615
|
14 1920.0 67.106797 ... 70.530615 70.530615
|
||||||
15 2048.0 73.908442 ... 75.234154 68.200062
|
15 2048.0 73.908442 ... 74.898285 74.898285
|
||||||
16 2176.0 83.155572 ... 78.916269 78.608000
|
16 2176.0 83.500614 ... 78.302130 80.173899
|
||||||
17 2304.0 68.251065 ... 73.051599 73.501144
|
17 2304.0 68.446623 ... 73.501144 73.275679
|
||||||
18 2432.0 71.305746 ... 82.630777 82.147552
|
18 2432.0 71.305746 ... 81.669953 81.197876
|
||||||
19 2560.0 78.019048 ... 77.283019 77.101175
|
19 2560.0 77.833728 ... 76.740048 76.382283
|
||||||
20 2688.0 80.880718 ... 84.861423 81.752274
|
20 2688.0 82.642823 ... 83.369354 80.027544
|
||||||
21 2816.0 83.233226 ... 79.298560 76.921000
|
21 2816.0 79.879498 ... 77.330158 80.173175
|
||||||
22 2944.0 82.373605 ... 78.605729 77.990663
|
22 2944.0 83.060049 ... 80.251257 78.235527
|
||||||
23 3072.0 81.355034 ... 82.782312 82.181572
|
23 3072.0 81.943708 ... 84.512098 81.472093
|
||||||
24 3200.0 83.009080 ... 84.880639 90.014065
|
24 3200.0 84.432717 ... 90.140846 84.099871
|
||||||
25 3328.0 83.419811 ... 82.369902 84.795401
|
25 3328.0 83.034941 ... 87.794262 86.217120
|
||||||
26 3456.0 81.683457 ... 84.954233 82.099354
|
26 3456.0 81.932484 ... 83.545665 85.767626
|
||||||
27 3584.0 85.715344 ... 95.249353 94.747514
|
27 3584.0 87.211821 ... 92.220917 84.908450
|
||||||
28 3712.0 80.692524 ... 84.159518 89.114488
|
28 3712.0 84.159518 ... 83.247783 82.082808
|
||||||
29 3840.0 85.465227 ... 83.214447 84.874902
|
29 3840.0 80.197243 ... 81.439280 83.089406
|
||||||
30 3968.0 86.112380 ... 81.080712 82.728089
|
30 3968.0 85.994800 ... 80.971427 82.226372
|
||||||
31 4096.0 93.727466 ... 88.709668 88.534120
|
31 4096.0 93.596744 ... 89.597949 88.475759
|
||||||
|
|
||||||
[32 rows x 5 columns]
|
[32 rows x 5 columns]
|
||||||
|
|
||||||
@@ -511,7 +511,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
|||||||
|
|
||||||
.. rst-class:: sphx-glr-timing
|
.. rst-class:: sphx-glr-timing
|
||||||
|
|
||||||
**Total running time of the script:** ( 2 minutes 18.530 seconds)
|
**Total running time of the script:** ( 2 minutes 23.846 seconds)
|
||||||
|
|
||||||
|
|
||||||
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||||
|
@@ -5,12 +5,12 @@
|
|||||||
|
|
||||||
Computation times
|
Computation times
|
||||||
=================
|
=================
|
||||||
**03:42.165** total execution time for **getting-started_tutorials** files:
|
**03:47.500** total execution time for **getting-started_tutorials** files:
|
||||||
|
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:18.530 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 02:23.846 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.639 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 01:12.632 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:10.996 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 00:11.022 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
|
@@ -325,7 +325,7 @@ for different problem sizes.</p>
|
|||||||
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 384.000001
|
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 10.996 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 0 minutes 11.022 seconds)</p>
|
||||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-01-vector-add-py">
|
<div class="sphx-glr-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>
|
||||||
|
@@ -386,15 +386,15 @@ We will then compare its performance against (1) <code class="code docutils lite
|
|||||||
<div class="sphx-glr-script-out highlight-none notranslate"><div class="highlight"><pre><span></span>softmax-performance:
|
<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 585.142862 151.703707
|
||||||
2 512.0 630.153853 585.142849 154.566038
|
2 512.0 630.153853 606.814814 154.566038
|
||||||
3 640.0 682.666684 640.000002 160.000000
|
3 640.0 660.645170 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 406.179533 199.038365
|
93 12160.0 812.359066 405.755985 199.038365
|
||||||
94 12288.0 812.429770 416.101597 199.298541
|
94 12288.0 812.429770 415.661740 199.298541
|
||||||
95 12416.0 810.840807 412.577363 198.954424
|
95 12416.0 810.840807 411.722274 198.954424
|
||||||
96 12544.0 810.925276 412.971190 199.209928
|
96 12544.0 809.290334 412.971190 199.209928
|
||||||
97 12672.0 811.007961 412.097543 199.264875
|
97 12672.0 811.007961 412.097543 199.264875
|
||||||
|
|
||||||
[98 rows x 4 columns]
|
[98 rows x 4 columns]
|
||||||
@@ -409,7 +409,7 @@ This means that – when temporary data is too large to fit entirely in the GPU
|
|||||||
Note that our Triton kernel is not only faster than PyTorch’s CUDA kernel, it is also <strong>easier to read, understand and maintain</strong>.</p></li>
|
Note that our Triton kernel is not only faster than PyTorch’s CUDA kernel, it is also <strong>easier to read, understand and maintain</strong>.</p></li>
|
||||||
</ul>
|
</ul>
|
||||||
</div></blockquote>
|
</div></blockquote>
|
||||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.639 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 12.632 seconds)</p>
|
||||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-02-fused-softmax-py">
|
<div class="sphx-glr-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>
|
||||||
|
@@ -574,8 +574,8 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
|||||||
<p class="sphx-glr-script-out">Out:</p>
|
<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)
|
||||||
0 128.0 0.512000 ... 0.512000 0.512000
|
0 128.0 0.455111 ... 0.512000 0.512000
|
||||||
1 256.0 2.978909 ... 3.276800 2.978909
|
1 256.0 2.730667 ... 3.276800 2.978909
|
||||||
2 384.0 7.372800 ... 8.507077 8.507077
|
2 384.0 7.372800 ... 8.507077 8.507077
|
||||||
3 512.0 14.563555 ... 16.384000 16.384000
|
3 512.0 14.563555 ... 16.384000 16.384000
|
||||||
4 640.0 22.260869 ... 24.380953 24.380953
|
4 640.0 22.260869 ... 24.380953 24.380953
|
||||||
@@ -583,34 +583,34 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
|||||||
6 896.0 39.025776 ... 40.140799 39.025776
|
6 896.0 39.025776 ... 40.140799 39.025776
|
||||||
7 1024.0 49.932191 ... 53.773130 52.428801
|
7 1024.0 49.932191 ... 53.773130 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 ... 56.888887 56.888887
|
9 1280.0 51.200001 ... 56.888887 56.109587
|
||||||
10 1408.0 64.138541 ... 64.902096 64.902096
|
10 1408.0 64.138541 ... 64.902096 57.997615
|
||||||
11 1536.0 80.430545 ... 76.933564 76.106321
|
11 1536.0 78.643199 ... 76.106321 75.296679
|
||||||
12 1664.0 63.372618 ... 62.492442 62.492442
|
12 1664.0 63.372618 ... 62.492442 62.061463
|
||||||
13 1792.0 72.983276 ... 70.246402 69.810085
|
13 1792.0 72.983276 ... 70.246402 69.379162
|
||||||
14 1920.0 69.467336 ... 68.098521 70.530615
|
14 1920.0 67.106797 ... 70.530615 70.530615
|
||||||
15 2048.0 73.908442 ... 75.234154 68.200062
|
15 2048.0 73.908442 ... 74.898285 74.898285
|
||||||
16 2176.0 83.155572 ... 78.916269 78.608000
|
16 2176.0 83.500614 ... 78.302130 80.173899
|
||||||
17 2304.0 68.251065 ... 73.051599 73.501144
|
17 2304.0 68.446623 ... 73.501144 73.275679
|
||||||
18 2432.0 71.305746 ... 82.630777 82.147552
|
18 2432.0 71.305746 ... 81.669953 81.197876
|
||||||
19 2560.0 78.019048 ... 77.283019 77.101175
|
19 2560.0 77.833728 ... 76.740048 76.382283
|
||||||
20 2688.0 80.880718 ... 84.861423 81.752274
|
20 2688.0 82.642823 ... 83.369354 80.027544
|
||||||
21 2816.0 83.233226 ... 79.298560 76.921000
|
21 2816.0 79.879498 ... 77.330158 80.173175
|
||||||
22 2944.0 82.373605 ... 78.605729 77.990663
|
22 2944.0 83.060049 ... 80.251257 78.235527
|
||||||
23 3072.0 81.355034 ... 82.782312 82.181572
|
23 3072.0 81.943708 ... 84.512098 81.472093
|
||||||
24 3200.0 83.009080 ... 84.880639 90.014065
|
24 3200.0 84.432717 ... 90.140846 84.099871
|
||||||
25 3328.0 83.419811 ... 82.369902 84.795401
|
25 3328.0 83.034941 ... 87.794262 86.217120
|
||||||
26 3456.0 81.683457 ... 84.954233 82.099354
|
26 3456.0 81.932484 ... 83.545665 85.767626
|
||||||
27 3584.0 85.715344 ... 95.249353 94.747514
|
27 3584.0 87.211821 ... 92.220917 84.908450
|
||||||
28 3712.0 80.692524 ... 84.159518 89.114488
|
28 3712.0 84.159518 ... 83.247783 82.082808
|
||||||
29 3840.0 85.465227 ... 83.214447 84.874902
|
29 3840.0 80.197243 ... 81.439280 83.089406
|
||||||
30 3968.0 86.112380 ... 81.080712 82.728089
|
30 3968.0 85.994800 ... 80.971427 82.226372
|
||||||
31 4096.0 93.727466 ... 88.709668 88.534120
|
31 4096.0 93.596744 ... 89.597949 88.475759
|
||||||
|
|
||||||
[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 18.530 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 2 minutes 23.846 seconds)</p>
|
||||||
<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
|
<div class="sphx-glr-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>
|
||||||
|
@@ -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>03:42.165</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
<p><strong>03:47.500</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
|
||||||
<table class="docutils align-default">
|
<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>02:18.530</p></td>
|
<td><p>02:23.846</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>01:12.639</p></td>
|
<td><p>01:12.632</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>00:11.022</p></td>
|
||||||
<td><p>0.0 MB</p></td>
|
<td><p>0.0 MB</p></td>
|
||||||
</tr>
|
</tr>
|
||||||
</tbody>
|
</tbody>
|
||||||
|