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b/master/_images/sphx_glr_03-matrix-multiplication_thumb.png differ diff --git a/master/_images/sphx_glr_05-layer-norm_001.png b/master/_images/sphx_glr_05-layer-norm_001.png index b535a4195..110bd9f70 100644 Binary files a/master/_images/sphx_glr_05-layer-norm_001.png and b/master/_images/sphx_glr_05-layer-norm_001.png differ diff --git a/master/_images/sphx_glr_05-layer-norm_thumb.png b/master/_images/sphx_glr_05-layer-norm_thumb.png index d7053323e..7083cd17a 100644 Binary files a/master/_images/sphx_glr_05-layer-norm_thumb.png and b/master/_images/sphx_glr_05-layer-norm_thumb.png differ diff --git a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt index 410f7273f..9e7efda0e 100644 --- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt +++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt @@ -234,8 +234,8 @@ We can now run the decorated function above. Pass `print_data=True` to see the p size Triton Torch 0 4096.0 9.600000 9.600000 1 8192.0 19.200000 19.200000 - 2 16384.0 31.999999 31.999999 - 3 32768.0 63.999998 76.800002 + 2 16384.0 31.999999 38.400001 + 3 32768.0 76.800002 76.800002 4 65536.0 127.999995 127.999995 5 131072.0 219.428568 219.428568 6 262144.0 341.333321 341.333321 @@ -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 43.751 seconds) + **Total running time of the script:** ( 1 minutes 40.596 seconds) .. _sphx_glr_download_getting-started_tutorials_01-vector-add.py: diff --git a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt index f089e47b8..512cd616c 100644 --- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt +++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt @@ -279,15 +279,15 @@ We will then compare its performance against (1) :code:`torch.softmax` and (2) t softmax-performance: N Triton Torch (native) Torch (jit) 0 256.0 512.000001 546.133347 190.511628 - 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 160.000000 - 4 768.0 722.823517 664.216187 162.754967 + 1 384.0 585.142862 585.142862 151.703707 + 2 512.0 655.360017 585.142849 156.038096 + 3 640.0 682.666684 640.000002 160.000000 + 4 768.0 722.823517 646.736871 163.839992 .. ... ... ... ... - 93 12160.0 814.058574 406.179533 199.038365 - 94 12288.0 815.800825 415.661740 199.197579 - 95 12416.0 814.163950 412.149375 198.954424 - 96 12544.0 814.214963 412.971190 199.061730 + 93 12160.0 814.058574 405.755985 198.936606 + 94 12288.0 815.800825 415.442160 199.197579 + 95 12416.0 814.163950 412.149375 198.854847 + 96 12544.0 814.214963 412.971190 199.012395 97 12672.0 814.265046 412.097543 199.167004 [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 26.512 seconds) + **Total running time of the script:** ( 3 minutes 25.444 seconds) .. _sphx_glr_download_getting-started_tutorials_02-fused-softmax.py: diff --git a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt index db4049026..2fadb2162 100644 --- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt +++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt @@ -458,37 +458,37 @@ 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 ... 2.978909 2.978909 - 1 384.0 7.372800 ... 8.507077 7.899428 - 2 512.0 14.563555 ... 15.420235 15.420235 + 0 256.0 2.730667 ... 3.276800 2.978909 + 1 384.0 7.372800 ... 7.899428 7.899428 + 2 512.0 14.563555 ... 16.384000 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 40.140799 - 6 1024.0 49.932191 ... 53.773130 52.428801 - 7 1152.0 45.242181 ... 48.161033 47.396572 - 8 1280.0 51.200001 ... 58.514284 57.690139 + 6 1024.0 49.932191 ... 53.773130 53.773130 + 7 1152.0 44.566925 ... 48.161033 47.396572 + 8 1280.0 51.200001 ... 57.690139 57.690139 9 1408.0 64.138541 ... 69.009825 69.009825 10 1536.0 80.430545 ... 81.355034 80.430545 - 11 1664.0 63.372618 ... 63.822072 63.372618 + 11 1664.0 62.929456 ... 63.372618 62.929456 12 1792.0 72.983276 ... 63.142831 62.790080 13 1920.0 69.120002 ... 71.626943 70.892307 - 14 2048.0 73.584279 ... 78.033565 78.033565 + 14 2048.0 73.262953 ... 78.398206 78.033565 15 2176.0 83.155572 ... 87.494120 86.739860 - 16 2304.0 68.251065 ... 77.558029 77.558029 - 17 2432.0 71.125224 ... 75.726318 75.320281 - 18 2560.0 77.833728 ... 82.331658 82.125311 - 19 2688.0 83.369354 ... 90.316801 90.748936 - 20 2816.0 83.873477 ... 83.954203 84.035084 - 21 2944.0 82.784108 ... 83.477440 84.182483 - 22 3072.0 81.825298 ... 89.310890 88.335577 - 23 3200.0 83.009080 ... 92.753621 95.952022 - 24 3328.0 82.558825 ... 83.323259 84.003845 - 25 3456.0 81.849303 ... 89.679166 90.484366 - 26 3584.0 86.958797 ... 99.025764 99.795109 - 27 3712.0 83.386762 ... 87.629253 88.326564 - 28 3840.0 80.197243 ... 85.597527 91.701494 - 29 3968.0 88.103928 ... 87.913500 85.992909 - 30 4096.0 89.657802 ... 84.201835 90.748973 + 16 2304.0 68.446623 ... 77.810656 77.558029 + 17 2432.0 71.305746 ... 75.726318 75.522751 + 18 2560.0 77.833728 ... 81.512437 81.715711 + 19 2688.0 83.552988 ... 90.966561 90.532356 + 20 2816.0 83.873477 ... 83.712490 83.712490 + 21 2944.0 81.832567 ... 84.040530 83.899046 + 22 3072.0 81.121923 ... 88.890270 88.750943 + 23 3200.0 84.544253 ... 95.665176 94.117647 + 24 3328.0 79.901550 ... 83.226931 84.795401 + 25 3456.0 82.519518 ... 88.692595 91.304157 + 26 3584.0 87.211821 ... 99.134944 99.684470 + 27 3712.0 80.757757 ... 86.790606 87.399253 + 28 3840.0 81.019778 ... 85.531326 91.322872 + 29 3968.0 86.114283 ... 90.522206 85.811488 + 30 4096.0 91.491294 ... 83.158446 85.816960 [31 rows x 5 columns] @@ -498,7 +498,7 @@ 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 2.461 seconds) + **Total running time of the script:** ( 5 minutes 58.307 seconds) .. _sphx_glr_download_getting-started_tutorials_03-matrix-multiplication.py: diff --git a/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt b/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt index 8c652cdd2..d1778b13a 100644 --- a/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt +++ b/master/_sources/getting-started/tutorials/04-low-memory-dropout.rst.txt @@ -240,7 +240,7 @@ References .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.013 seconds) + **Total running time of the script:** ( 0 minutes 0.012 seconds) .. _sphx_glr_download_getting-started_tutorials_04-low-memory-dropout.py: diff --git a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt index c87c9bea4..e434398e2 100644 --- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt +++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt @@ -38,36 +38,36 @@ Layer Normalization layer-norm-backward: N Triton Torch Apex - 0 1024.0 361.411758 99.497980 307.200008 - 1 1536.0 405.098894 134.540150 338.201833 - 2 2048.0 491.520012 158.554837 321.254900 - 3 2560.0 461.954908 182.314537 328.556154 - 4 3072.0 522.893629 191.999993 315.076914 - 5 3584.0 551.384634 208.271186 310.527060 - 6 4096.0 564.965515 219.919464 301.546004 - 7 4608.0 502.690905 233.316456 288.751954 - 8 5120.0 527.381977 240.469672 282.482762 - 9 5632.0 542.843364 241.371422 287.591490 - 10 6144.0 546.133354 250.349744 286.322318 - 11 6656.0 527.207907 255.182111 284.748652 - 12 7168.0 505.976473 256.000002 280.182402 - 13 7680.0 483.779539 264.447629 279.272719 - 14 8192.0 463.698115 265.327937 277.694924 - 15 8704.0 413.655443 263.757583 282.673891 - 16 9216.0 427.822068 270.065931 286.879380 - 17 9728.0 438.033784 279.942444 288.593329 - 18 10240.0 444.412281 285.435547 286.767793 - 19 10752.0 430.797982 246.699797 289.616170 - 20 11264.0 427.746848 244.205952 283.966395 - 21 11776.0 421.198220 249.227509 288.097854 - 22 12288.0 417.131525 253.578674 294.323369 - 23 12800.0 412.072450 253.465340 288.721817 - 24 13312.0 409.075539 253.763296 291.769875 - 25 13824.0 404.112047 257.190689 292.313649 - 26 14336.0 394.568805 252.246330 285.530296 - 27 14848.0 383.999990 257.479779 289.012175 - 28 15360.0 378.869469 260.338991 290.496454 - 29 15872.0 370.552519 263.800544 292.796308 + 0 1024.0 356.173905 99.497980 315.076934 + 1 1536.0 405.098894 134.050910 344.523365 + 2 2048.0 491.520012 159.067963 334.367350 + 3 2560.0 458.507457 182.314537 330.322572 + 4 3072.0 522.893629 191.501303 321.956335 + 5 3584.0 554.941930 207.768111 309.410081 + 6 4096.0 564.965515 220.907859 300.623865 + 7 4608.0 500.416301 232.336141 287.251954 + 8 5120.0 529.655159 243.809526 286.433562 + 9 5632.0 542.843364 244.426754 291.939522 + 10 6144.0 550.208948 251.202731 288.000001 + 11 6656.0 532.479975 255.590406 286.793541 + 12 7168.0 510.480705 253.734520 277.919225 + 13 7680.0 487.619051 266.358392 284.884090 + 14 8192.0 468.114289 258.354805 278.481578 + 15 8704.0 414.476194 267.815384 285.377055 + 16 9216.0 429.483477 272.394084 290.267724 + 17 9728.0 438.857162 279.942444 288.950501 + 18 10240.0 444.412281 287.102804 290.153487 + 19 10752.0 427.231788 246.935876 289.941565 + 20 11264.0 427.071098 245.536784 286.069848 + 21 11776.0 418.702211 249.447482 288.686414 + 22 12288.0 415.369018 254.673582 294.323369 + 23 12800.0 410.695192 254.094291 289.811310 + 24 13312.0 410.125805 252.360194 289.391298 + 25 13824.0 404.604870 257.190689 291.799461 + 26 14336.0 396.387109 256.000002 289.129416 + 27 14848.0 385.662341 257.479779 288.777966 + 28 15360.0 379.259256 258.332158 287.550706 + 29 15872.0 372.000001 261.626369 290.562936 @@ -339,7 +339,7 @@ Layer Normalization .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 2 minutes 13.338 seconds) + **Total running time of the script:** ( 2 minutes 12.274 seconds) .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py: diff --git a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt index d5d00ea71..8be6b4884 100644 --- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt +++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt @@ -5,16 +5,16 @@ Computation times ================= -**13:26.076** total execution time for **getting-started_tutorials** files: +**13:16.634** total execution time for **getting-started_tutorials** files: +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:02.461 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:58.307 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:26.512 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:25.444 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:13.338 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.274 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:43.751 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:40.596 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.013 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.012 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html index 0aa0a1fd9..1921d6156 100644 --- a/master/getting-started/tutorials/01-vector-add.html +++ b/master/getting-started/tutorials/01-vector-add.html @@ -324,8 +324,8 @@ for different problem sizes.
size Triton Torch 0 4096.0 9.600000 9.600000 1 8192.0 19.200000 19.200000 -2 16384.0 31.999999 31.999999 -3 32768.0 63.999998 76.800002 +2 16384.0 31.999999 38.400001 +3 32768.0 76.800002 76.800002 4 65536.0 127.999995 127.999995 5 131072.0 219.428568 219.428568 6 262144.0 341.333321 341.333321 @@ -340,7 +340,7 @@ for different problem sizes. 15 134217728.0 849.737435 850.656574 -Total running time of the script: ( 1 minutes 43.751 seconds)
+Total running time of the script: ( 1 minutes 40.596 seconds)