[GH-PAGES] Updated website
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@@ -45,7 +45,7 @@ You can then test your installation by running the unit tests:
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.. code-block:: bash
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.. code-block:: bash
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pip install -r requirements-test.txt
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pip install -r requirements-test.txt
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pytest -vs .
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pytest -vs test/unit/
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and the benchmarks
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and the benchmarks
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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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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 1 minutes 50.209 seconds)
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**Total running time of the script:** ( 1 minutes 45.270 seconds)
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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.. _sphx_glr_download_getting-started_tutorials_01-vector-add.py:
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@@ -286,17 +286,17 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t
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softmax-performance:
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softmax-performance:
|
||||||
N Triton Torch (native) Torch (jit)
|
N Triton Torch (native) Torch (jit)
|
||||||
0 256.0 512.000001 546.133347 184.089886
|
0 256.0 512.000001 546.133347 188.321838
|
||||||
1 384.0 585.142862 585.142862 153.600004
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1 384.0 585.142862 585.142862 151.703707
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2 512.0 630.153853 585.142849 154.566038
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2 512.0 630.153853 585.142849 153.121496
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3 640.0 682.666684 640.000002 160.000000
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3 640.0 682.666684 640.000002 158.759699
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4 768.0 702.171410 664.216187 163.839992
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4 768.0 702.171410 664.216187 161.684218
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.. ... ... ... ...
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.. ... ... ... ...
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93 12160.0 810.666687 405.755985 199.140227
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93 12160.0 810.666687 405.755985 199.038365
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94 12288.0 810.754644 415.661740 199.399583
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94 12288.0 810.754644 415.661740 199.298541
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95 12416.0 807.544681 411.296057 198.954424
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95 12416.0 809.189387 412.149375 198.854847
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96 12544.0 807.661970 412.971190 199.209928
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96 12544.0 807.661970 412.971190 199.111113
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97 12672.0 807.776923 412.097543 199.264875
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97 12672.0 807.776923 412.307051 199.167004
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[98 rows x 4 columns]
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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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.. rst-class:: sphx-glr-timing
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**Total running time of the script:** ( 3 minutes 27.286 seconds)
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**Total running time of the script:** ( 3 minutes 23.687 seconds)
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.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
|
.. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py:
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@@ -462,7 +462,7 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
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||||||
matmul-performance:
|
matmul-performance:
|
||||||
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
M cuBLAS ... Triton Triton (+ LeakyReLU)
|
||||||
0 256.0 2.730667 ... 3.276800 3.276800
|
0 256.0 2.730667 ... 2.978909 2.978909
|
||||||
1 384.0 7.372800 ... 8.507077 8.507077
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1 384.0 7.372800 ... 8.507077 8.507077
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2 512.0 14.563555 ... 16.384000 16.384000
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2 512.0 14.563555 ... 16.384000 16.384000
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3 640.0 22.260869 ... 24.380953 24.380953
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3 640.0 22.260869 ... 24.380953 24.380953
|
||||||
@@ -470,29 +470,29 @@ We can now compare the performance of our kernel against that of cuBLAS. Here we
|
|||||||
5 896.0 39.025776 ... 39.025776 39.025776
|
5 896.0 39.025776 ... 39.025776 39.025776
|
||||||
6 1024.0 49.932191 ... 53.773130 52.428801
|
6 1024.0 49.932191 ... 53.773130 52.428801
|
||||||
7 1152.0 44.566925 ... 46.656000 46.656000
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7 1152.0 44.566925 ... 46.656000 46.656000
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8 1280.0 51.200001 ... 56.109587 56.109587
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8 1280.0 51.200001 ... 56.888887 56.109587
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9 1408.0 64.138541 ... 66.485074 66.485074
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9 1408.0 64.138541 ... 67.305878 67.305878
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10 1536.0 80.430545 ... 79.526831 78.643199
|
10 1536.0 80.430545 ... 79.526831 79.526831
|
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11 1664.0 62.929456 ... 62.061463 62.061463
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11 1664.0 63.372618 ... 62.492442 62.492442
|
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12 1792.0 72.983276 ... 72.047592 72.047592
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12 1792.0 72.983276 ... 72.512412 72.047592
|
||||||
13 1920.0 69.120002 ... 70.530615 70.172588
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13 1920.0 68.776119 ... 70.530615 70.530615
|
||||||
14 2048.0 73.908442 ... 76.959706 76.608294
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14 2048.0 73.908442 ... 76.959706 76.608294
|
||||||
15 2176.0 83.500614 ... 86.367588 85.998493
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15 2176.0 83.500614 ... 86.367588 84.909907
|
||||||
16 2304.0 68.446623 ... 77.057651 77.057651
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16 2304.0 68.446623 ... 76.563695 76.809875
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17 2432.0 71.305746 ... 85.393507 84.877538
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17 2432.0 71.305746 ... 74.521127 85.134737
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18 2560.0 78.019048 ... 81.310171 81.310171
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18 2560.0 77.649287 ... 81.512437 80.709358
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19 2688.0 83.737433 ... 89.254248 89.888756
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19 2688.0 83.552988 ... 89.254248 89.570381
|
||||||
20 2816.0 82.602666 ... 83.074685 83.233226
|
20 2816.0 82.759409 ... 82.916747 83.233226
|
||||||
21 2944.0 82.237674 ... 82.784108 82.509987
|
21 2944.0 82.921853 ... 82.373605 82.921853
|
||||||
22 3072.0 82.661468 ... 88.750943 85.920732
|
22 3072.0 82.062468 ... 88.335577 89.170242
|
||||||
23 3200.0 84.993363 ... 90.780140 95.522391
|
23 3200.0 84.768213 ... 95.380032 95.238096
|
||||||
24 3328.0 83.613586 ... 81.346098 83.905938
|
24 3328.0 83.130825 ... 85.398926 85.500351
|
||||||
25 3456.0 81.849303 ... 91.304157 87.823058
|
25 3456.0 80.945348 ... 82.350937 85.950501
|
||||||
26 3584.0 83.024371 ... 94.747514 95.451583
|
26 3584.0 86.958797 ... 98.916823 98.160909
|
||||||
27 3712.0 81.682211 ... 87.937800 87.937800
|
27 3712.0 81.482335 ... 87.629253 87.170458
|
||||||
28 3840.0 82.778440 ... 90.723546 88.473602
|
28 3840.0 84.615146 ... 91.930177 84.615146
|
||||||
29 3968.0 91.747320 ... 84.038524 91.335278
|
29 3968.0 92.163097 ... 80.998301 84.562670
|
||||||
30 4096.0 91.741443 ... 85.001726 90.200084
|
30 4096.0 88.534120 ... 83.520676 84.360608
|
||||||
|
|
||||||
[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:** ( 5 minutes 37.929 seconds)
|
**Total running time of the script:** ( 5 minutes 36.208 seconds)
|
||||||
|
|
||||||
|
|
||||||
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
.. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py:
|
||||||
|
@@ -5,14 +5,14 @@
|
|||||||
|
|
||||||
Computation times
|
Computation times
|
||||||
=================
|
=================
|
||||||
**10:55.434** total execution time for **getting-started_tutorials** files:
|
**10:45.175** total execution time for **getting-started_tutorials** files:
|
||||||
|
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:37.929 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:36.208 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:27.286 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:23.687 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:50.209 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:45.270 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.010 | 0.0 MB |
|
| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.010 | 0.0 MB |
|
||||||
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
+---------------------------------------------------------------------------------------------------------+-----------+--------+
|
||||||
|
@@ -209,7 +209,7 @@ pip install -e .
|
|||||||
<p>Note that, if llvm-11 is not present on your system, the setup.py script will download the official LLVM11 static libraries link against that.</p>
|
<p>Note that, if llvm-11 is not present on your system, the setup.py script will download the official LLVM11 static libraries link against that.</p>
|
||||||
<p>You can then test your installation by running the unit tests:</p>
|
<p>You can then test your installation by running the unit tests:</p>
|
||||||
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip install -r requirements-test.txt
|
<div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>pip install -r requirements-test.txt
|
||||||
pytest -vs .
|
pytest -vs test/unit/
|
||||||
</pre></div>
|
</pre></div>
|
||||||
</div>
|
</div>
|
||||||
<p>and the benchmarks</p>
|
<p>and the benchmarks</p>
|
||||||
|
@@ -338,7 +338,7 @@ for different problem sizes.</p>
|
|||||||
15 134217728.0 849.737435 850.656574
|
15 134217728.0 849.737435 850.656574
|
||||||
</pre></div>
|
</pre></div>
|
||||||
</div>
|
</div>
|
||||||
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 50.209 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 1 minutes 45.270 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>
|
||||||
|
@@ -373,17 +373,17 @@ We will then compare its performance against (1) <code class="code docutils lite
|
|||||||
<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>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 184.089886
|
0 256.0 512.000001 546.133347 188.321838
|
||||||
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 585.142849 153.121496
|
||||||
3 640.0 682.666684 640.000002 160.000000
|
3 640.0 682.666684 640.000002 158.759699
|
||||||
4 768.0 702.171410 664.216187 163.839992
|
4 768.0 702.171410 664.216187 161.684218
|
||||||
.. ... ... ... ...
|
.. ... ... ... ...
|
||||||
93 12160.0 810.666687 405.755985 199.140227
|
93 12160.0 810.666687 405.755985 199.038365
|
||||||
94 12288.0 810.754644 415.661740 199.399583
|
94 12288.0 810.754644 415.661740 199.298541
|
||||||
95 12416.0 807.544681 411.296057 198.954424
|
95 12416.0 809.189387 412.149375 198.854847
|
||||||
96 12544.0 807.661970 412.971190 199.209928
|
96 12544.0 807.661970 412.971190 199.111113
|
||||||
97 12672.0 807.776923 412.097543 199.264875
|
97 12672.0 807.776923 412.307051 199.167004
|
||||||
|
|
||||||
[98 rows x 4 columns]
|
[98 rows x 4 columns]
|
||||||
</pre></div>
|
</pre></div>
|
||||||
@@ -396,7 +396,7 @@ 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> ( 3 minutes 27.286 seconds)</p>
|
<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 3 minutes 23.687 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>
|
||||||
|
@@ -567,7 +567,7 @@ 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 ... 3.276800 3.276800
|
0 256.0 2.730667 ... 2.978909 2.978909
|
||||||
1 384.0 7.372800 ... 8.507077 8.507077
|
1 384.0 7.372800 ... 8.507077 8.507077
|
||||||
2 512.0 14.563555 ... 16.384000 16.384000
|
2 512.0 14.563555 ... 16.384000 16.384000
|
||||||
3 640.0 22.260869 ... 24.380953 24.380953
|
3 640.0 22.260869 ... 24.380953 24.380953
|
||||||
@@ -575,34 +575,34 @@ torch_output=tensor([[ 1.1045, -36.9688, 31.4688, ..., -11.3906, 24.4531, -3
|
|||||||
5 896.0 39.025776 ... 39.025776 39.025776
|
5 896.0 39.025776 ... 39.025776 39.025776
|
||||||
6 1024.0 49.932191 ... 53.773130 52.428801
|
6 1024.0 49.932191 ... 53.773130 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 ... 56.109587 56.109587
|
8 1280.0 51.200001 ... 56.888887 56.109587
|
||||||
9 1408.0 64.138541 ... 66.485074 66.485074
|
9 1408.0 64.138541 ... 67.305878 67.305878
|
||||||
10 1536.0 80.430545 ... 79.526831 78.643199
|
10 1536.0 80.430545 ... 79.526831 79.526831
|
||||||
11 1664.0 62.929456 ... 62.061463 62.061463
|
11 1664.0 63.372618 ... 62.492442 62.492442
|
||||||
12 1792.0 72.983276 ... 72.047592 72.047592
|
12 1792.0 72.983276 ... 72.512412 72.047592
|
||||||
13 1920.0 69.120002 ... 70.530615 70.172588
|
13 1920.0 68.776119 ... 70.530615 70.530615
|
||||||
14 2048.0 73.908442 ... 76.959706 76.608294
|
14 2048.0 73.908442 ... 76.959706 76.608294
|
||||||
15 2176.0 83.500614 ... 86.367588 85.998493
|
15 2176.0 83.500614 ... 86.367588 84.909907
|
||||||
16 2304.0 68.446623 ... 77.057651 77.057651
|
16 2304.0 68.446623 ... 76.563695 76.809875
|
||||||
17 2432.0 71.305746 ... 85.393507 84.877538
|
17 2432.0 71.305746 ... 74.521127 85.134737
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18 2560.0 78.019048 ... 81.310171 81.310171
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18 2560.0 77.649287 ... 81.512437 80.709358
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19 2688.0 83.737433 ... 89.254248 89.888756
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19 2688.0 83.552988 ... 89.254248 89.570381
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20 2816.0 82.602666 ... 83.074685 83.233226
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20 2816.0 82.759409 ... 82.916747 83.233226
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21 2944.0 82.237674 ... 82.784108 82.509987
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21 2944.0 82.921853 ... 82.373605 82.921853
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22 3072.0 82.661468 ... 88.750943 85.920732
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22 3072.0 82.062468 ... 88.335577 89.170242
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23 3200.0 84.993363 ... 90.780140 95.522391
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23 3200.0 84.768213 ... 95.380032 95.238096
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24 3328.0 83.613586 ... 81.346098 83.905938
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24 3328.0 83.130825 ... 85.398926 85.500351
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25 3456.0 81.849303 ... 91.304157 87.823058
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25 3456.0 80.945348 ... 82.350937 85.950501
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26 3584.0 83.024371 ... 94.747514 95.451583
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26 3584.0 86.958797 ... 98.916823 98.160909
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27 3712.0 81.682211 ... 87.937800 87.937800
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27 3712.0 81.482335 ... 87.629253 87.170458
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28 3840.0 82.778440 ... 90.723546 88.473602
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28 3840.0 84.615146 ... 91.930177 84.615146
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29 3968.0 91.747320 ... 84.038524 91.335278
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29 3968.0 92.163097 ... 80.998301 84.562670
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30 4096.0 91.741443 ... 85.001726 90.200084
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30 4096.0 88.534120 ... 83.520676 84.360608
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[31 rows x 5 columns]
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 37.929 seconds)</p>
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<p class="sphx-glr-timing"><strong>Total running time of the script:</strong> ( 5 minutes 36.208 seconds)</p>
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<div class="sphx-glr-footer class sphx-glr-footer-example docutils container" id="sphx-glr-download-getting-started-tutorials-03-matrix-multiplication-py">
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<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>
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<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>
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<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>
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<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>
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<p><strong>10:55.434</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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<p><strong>10:45.175</strong> total execution time for <strong>getting-started_tutorials</strong> files:</p>
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<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>
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<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>
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<td><p>05:37.929</p></td>
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<td><p>05:36.208</p></td>
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<td><p>0.0 MB</p></td>
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<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>
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<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>
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<td><p>03:27.286</p></td>
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<td><p>03:23.687</p></td>
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<td><p>0.0 MB</p></td>
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<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>
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<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>
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<td><p>01:50.209</p></td>
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<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>
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<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>
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