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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 fb162c8f8..f187ea8cb 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 53aa3898e..3e7acf685 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 2cbfc73f1..30dca105c 100644 --- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt +++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt @@ -235,7 +235,7 @@ 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 63.999998 76.800002 + 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 384.000001 @@ -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 45.824 seconds) + **Total running time of the script:** ( 1 minutes 37.620 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 f3c5793dd..b35ff3f19 100644 --- a/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt +++ b/master/_sources/getting-started/tutorials/02-fused-softmax.rst.txt @@ -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) - 0 256.0 512.000001 546.133347 188.321838 - 1 384.0 585.142862 558.545450 153.600004 + 0 256.0 512.000001 546.133347 192.752942 + 1 384.0 614.400016 585.142862 153.600004 2 512.0 655.360017 606.814814 154.566038 3 640.0 706.206879 640.000002 160.000000 4 768.0 722.823517 664.216187 162.754967 .. ... ... ... ... - 93 12160.0 814.058574 405.333344 198.834951 - 94 12288.0 814.111783 415.222812 199.096718 - 95 12416.0 814.163950 411.296057 198.755369 - 96 12544.0 814.214963 412.546756 198.913776 - 97 12672.0 814.265046 412.097543 199.069228 + 93 12160.0 814.058574 406.179533 199.038365 + 94 12288.0 814.111783 415.661740 199.298541 + 95 12416.0 814.163950 412.149375 198.854847 + 96 12544.0 814.214963 412.971190 199.111113 + 97 12672.0 814.265046 411.679167 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 21.745 seconds) + **Total running time of the script:** ( 3 minutes 18.443 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 df431780c..90c708f24 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 ... 7.899428 8.507077 - 2 512.0 14.563555 ... 16.384000 15.420235 + 0 256.0 2.978909 ... 2.978909 2.978909 + 1 384.0 7.372800 ... 8.507077 8.507077 + 2 512.0 14.563555 ... 16.384000 16.384000 3 640.0 22.260869 ... 24.380953 24.380953 4 768.0 32.768000 ... 34.028308 34.028308 - 5 896.0 39.025776 ... 40.140799 37.971025 + 5 896.0 39.025776 ... 40.140799 39.025776 6 1024.0 49.932191 ... 52.428801 52.428801 7 1152.0 45.242181 ... 46.656000 46.656000 8 1280.0 51.200001 ... 56.888887 56.888887 - 9 1408.0 64.138541 ... 67.305878 66.485074 + 9 1408.0 64.138541 ... 67.305878 65.684049 10 1536.0 80.430545 ... 79.526831 78.643199 - 11 1664.0 62.929456 ... 62.061463 62.492442 - 12 1792.0 72.512412 ... 71.588687 72.047592 - 13 1920.0 69.467336 ... 70.172588 70.172588 + 11 1664.0 62.929456 ... 62.492442 62.061463 + 12 1792.0 72.512412 ... 72.047592 72.047592 + 13 1920.0 69.120002 ... 70.172588 70.172588 14 2048.0 73.262953 ... 76.608294 76.260072 - 15 2176.0 83.155572 ... 85.998493 85.998493 - 16 2304.0 68.643310 ... 76.809875 76.809875 - 17 2432.0 71.487187 ... 74.521127 84.877538 - 18 2560.0 77.833728 ... 81.108913 80.808877 - 19 2688.0 82.823267 ... 89.676257 89.464755 - 20 2816.0 80.617762 ... 82.602666 83.392363 - 21 2944.0 81.832567 ... 82.102191 82.102191 - 22 3072.0 82.121977 ... 88.335577 86.911900 - 23 3200.0 78.717759 ... 91.559367 92.753621 - 24 3328.0 79.990330 ... 83.130825 83.905938 - 25 3456.0 81.724858 ... 91.304157 90.892410 - 26 3584.0 83.101104 ... 91.563533 96.579370 - 27 3712.0 85.748791 ... 86.045381 91.901879 - 28 3840.0 80.313725 ... 86.265212 91.322872 - 29 3968.0 86.911637 ... 90.221021 83.922926 - 30 4096.0 92.755862 ... 88.301134 82.342167 + 15 2176.0 83.155572 ... 85.998493 85.269692 + 16 2304.0 68.446623 ... 77.057651 76.809875 + 17 2432.0 71.487187 ... 84.367759 85.134737 + 18 2560.0 78.019048 ... 80.908642 80.511054 + 19 2688.0 83.737433 ... 89.888756 89.254248 + 20 2816.0 81.827785 ... 82.602666 82.135981 + 21 2944.0 82.237674 ... 82.237674 82.102191 + 22 3072.0 81.589488 ... 88.473602 88.197981 + 23 3200.0 84.656085 ... 95.096582 94.955488 + 24 3328.0 83.034941 ... 84.200347 83.808259 + 25 3456.0 78.655188 ... 87.823058 87.632137 + 26 3584.0 87.466332 ... 98.375705 93.467144 + 27 3712.0 84.159518 ... 87.018592 88.092894 + 28 3840.0 79.505392 ... 87.217666 91.473945 + 29 3968.0 85.871877 ... 91.062642 84.038524 + 30 4096.0 93.012976 ... 86.396995 89.958266 [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 5.749 seconds) + **Total running time of the script:** ( 5 minutes 56.421 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 7338e7590..76206e73d 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 0.493 seconds) + **Total running time of the script:** ( 0 minutes 0.486 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 7a9f958d0..a24f66794 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 1024.0 307.200008 95.255819 292.571431 - 1 1536.0 347.773587 135.529409 344.523365 - 2 2048.0 420.102553 162.217818 325.509933 - 3 2560.0 451.764698 183.402991 330.322572 - 4 3072.0 515.580429 191.501303 317.793096 - 5 3584.0 547.872604 207.768111 311.652167 - 6 4096.0 564.965515 220.907859 301.546004 - 7 4608.0 504.986315 232.825259 288.751954 - 8 5120.0 531.948056 242.845844 285.104413 - 9 5632.0 545.032265 243.107920 290.060087 - 10 6144.0 548.163546 250.349744 286.879370 - 11 6656.0 537.858601 254.775119 285.767438 - 12 7168.0 508.970395 256.000002 279.726817 - 13 7680.0 485.052616 263.690977 278.009056 - 14 8192.0 462.607053 264.258058 280.068380 - 15 8704.0 417.791980 263.757583 282.291896 - 16 9216.0 430.319054 270.727053 286.879380 - 17 9728.0 440.513191 281.291575 290.027323 - 18 10240.0 449.287041 285.767451 289.129408 - 19 10752.0 429.364408 246.699797 289.941565 - 20 11264.0 424.389312 245.536784 287.591490 - 21 11776.0 421.198220 249.888595 288.686414 - 22 12288.0 417.722367 253.796902 294.617366 - 23 12800.0 415.135142 253.674644 289.811310 - 24 13312.0 409.599999 251.962147 289.129403 - 25 13824.0 404.604870 257.190689 292.056329 - 26 14336.0 395.930964 253.734520 287.438588 - 27 14848.0 384.829370 255.999999 288.544136 - 28 15360.0 376.932517 259.422943 289.583654 - 29 15872.0 367.336555 262.708969 290.784741 + 0 1024.0 311.088617 98.303995 307.200008 + 1 1536.0 347.773587 134.540150 344.523365 + 2 2048.0 420.102553 161.684218 334.367350 + 3 2560.0 458.507457 181.775141 330.322572 + 4 3072.0 511.999982 192.501302 320.556515 + 5 3584.0 547.872604 208.271186 311.652167 + 6 4096.0 568.231237 220.412561 297.890900 + 7 4608.0 507.302750 232.825259 287.251954 + 8 5120.0 529.655159 242.845844 285.104413 + 9 5632.0 545.032265 243.545956 290.060087 + 10 6144.0 546.133354 248.661056 286.879370 + 11 6656.0 534.260858 256.000009 285.767438 + 12 7168.0 505.976473 260.654538 286.242939 + 13 7680.0 482.513091 262.564106 278.429013 + 14 8192.0 463.698115 267.493874 284.939124 + 15 8704.0 418.629245 267.815384 284.987724 + 16 9216.0 432.845409 272.394084 288.751954 + 17 9728.0 439.683593 280.615388 289.667485 + 18 10240.0 448.467168 286.433562 290.153487 + 19 10752.0 426.525614 247.172406 290.922209 + 20 11264.0 427.071098 245.536784 286.676558 + 21 11776.0 423.724129 249.667843 288.981596 + 22 12288.0 419.504980 254.673582 294.323369 + 23 12800.0 413.458944 253.465340 289.811310 + 24 13312.0 412.242569 252.959629 290.048115 + 25 13824.0 405.594132 257.190689 292.056329 + 26 14336.0 395.021816 254.485198 286.719986 + 27 14848.0 386.498925 257.665934 289.246765 + 28 15360.0 373.495460 257.970599 288.000007 + 29 15872.0 371.274849 261.806182 289.899545 @@ -339,7 +339,7 @@ Layer Normalization .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 2 minutes 12.916 seconds) + **Total running time of the script:** ( 2 minutes 11.775 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 6e29fd187..b1f81116a 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 ================= -**13:26.728** total execution time for **getting-started_tutorials** files: +**13:04.745** total execution time for **getting-started_tutorials** files: +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:05.749 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 05:56.421 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:21.745 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:18.443 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:12.916 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 02:11.775 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:45.824 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:37.620 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.493 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_04-low-memory-dropout.py` (``04-low-memory-dropout.py``) | 00:00.486 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html index 6531cbedf..83a0aadf1 100644 --- a/master/getting-started/tutorials/01-vector-add.html +++ b/master/getting-started/tutorials/01-vector-add.html @@ -325,7 +325,7 @@ for different problem sizes.

0 4096.0 9.600000 9.600000 1 8192.0 19.200000 19.200000 2 16384.0 38.400001 38.400001 -3 32768.0 63.999998 76.800002 +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 384.000001 @@ -340,7 +340,7 @@ for different problem sizes.

15 134217728.0 849.737435 850.656574 -

Total running time of the script: ( 1 minutes 45.824 seconds)

+

Total running time of the script: ( 1 minutes 37.620 seconds)