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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 45fc7bc30..775059ed7 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 a1a9af19d..7b6d8a228 100644 --- a/master/_sources/getting-started/tutorials/01-vector-add.rst.txt +++ b/master/_sources/getting-started/tutorials/01-vector-add.rst.txt @@ -233,19 +233,19 @@ We can now run the decorated function above. Pass `print_data=True` to see the p vector-add-performance: size Triton Torch 0 4096.0 9.600000 9.600000 - 1 8192.0 15.999999 19.200000 + 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 63.999998 4 65536.0 127.999995 127.999995 5 131072.0 219.428568 219.428568 - 6 262144.0 341.333321 341.333321 + 6 262144.0 341.333321 384.000001 7 524288.0 472.615390 472.615390 8 1048576.0 614.400016 614.400016 9 2097152.0 722.823517 702.171410 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 842.004273 + 13 33554432.0 842.004273 843.811163 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 43.980 seconds) + **Total running time of the script:** ( 1 minutes 46.918 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 f9ee5bf28..5b86eba94 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) - 0 256.0 546.133347 546.133347 188.321838 - 1 384.0 585.142862 558.545450 151.703707 - 2 512.0 655.360017 606.814814 154.566038 - 3 640.0 706.206879 640.000002 160.000000 - 4 768.0 722.823517 646.736871 163.839992 + 0 256.0 512.000001 512.000001 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 158.759699 + 4 768.0 722.823517 664.216187 162.754967 .. ... ... ... ... - 93 12160.0 812.359066 405.755985 198.936606 - 94 12288.0 812.429770 415.661740 199.197579 - 95 12416.0 812.498981 412.149375 198.904612 - 96 12544.0 810.925276 412.546756 199.012395 - 97 12672.0 811.007961 411.679167 199.167004 + 93 12160.0 812.359066 406.179533 198.834951 + 94 12288.0 812.429770 415.881552 199.096718 + 95 12416.0 812.498981 412.149375 198.755369 + 96 12544.0 810.925276 412.971190 199.012395 + 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 29.352 seconds) + **Total running time of the script:** ( 3 minutes 31.142 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 907d41ebd..26b7c12bd 100644 --- a/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt +++ b/master/_sources/getting-started/tutorials/03-matrix-multiplication.rst.txt @@ -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 2.978909 ... 2.978909 2.978909 - 1 384.0 7.372800 ... 8.507077 8.507077 - 2 512.0 14.563555 ... 15.420235 16.384000 + 0 256.0 2.730667 ... 2.978909 3.276800 + 1 384.0 7.372800 ... 7.899428 7.899428 + 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 + 7 1152.0 45.242181 ... 47.396572 47.396572 8 1280.0 51.200001 ... 57.690139 57.690139 9 1408.0 64.138541 ... 68.147202 67.305878 10 1536.0 80.430545 ... 80.430545 78.643199 11 1664.0 63.372618 ... 63.372618 62.492442 - 12 1792.0 72.983276 ... 72.983276 59.467852 - 13 1920.0 69.120002 ... 71.257735 70.892307 - 14 2048.0 73.908442 ... 78.033565 76.959706 - 15 2176.0 83.155572 ... 87.494120 86.367588 - 16 2304.0 68.446623 ... 78.064941 77.558029 - 17 2432.0 71.305746 ... 86.711310 85.134737 - 18 2560.0 77.833728 ... 82.956960 81.512437 - 19 2688.0 83.737433 ... 90.966561 89.254248 - 20 2816.0 80.173175 ... 83.392363 84.035084 - 21 2944.0 82.102191 ... 83.060049 83.337844 - 22 3072.0 80.430545 ... 89.735509 87.787755 - 23 3200.0 83.116885 ... 95.096582 96.096095 - 24 3328.0 83.419811 ... 84.447271 83.130825 - 25 3456.0 81.932484 ... 87.252780 91.407671 - 26 3584.0 87.296493 ... 99.574077 98.699661 - 27 3712.0 83.247783 ... 89.553872 81.415926 - 28 3840.0 84.679936 ... 93.405401 84.679936 - 29 3968.0 92.652949 ... 88.744681 85.361267 - 30 4096.0 91.553703 ... 85.001726 84.626564 + 12 1792.0 72.983276 ... 73.460287 59.467852 + 13 1920.0 68.776119 ... 71.257735 71.257735 + 14 2048.0 73.584279 ... 78.033565 77.314362 + 15 2176.0 83.155572 ... 87.494120 85.998493 + 16 2304.0 68.251065 ... 78.320893 77.558029 + 17 2432.0 71.305746 ... 86.711310 86.179335 + 18 2560.0 78.019048 ... 82.747477 81.715711 + 19 2688.0 83.369354 ... 90.316801 89.254248 + 20 2816.0 84.197315 ... 84.523664 84.035084 + 21 2944.0 81.498008 ... 83.758038 82.237674 + 22 3072.0 82.420822 ... 90.452244 88.060814 + 23 3200.0 84.880639 ... 97.116842 95.665176 + 24 3328.0 83.130825 ... 85.500351 85.703924 + 25 3456.0 82.099354 ... 91.928814 86.596744 + 26 3584.0 86.623693 ... 92.600816 95.960933 + 27 3712.0 85.675250 ... 89.957089 87.860458 + 28 3840.0 81.198237 ... 86.130841 90.205545 + 29 3968.0 87.913500 ... 92.442373 87.976885 + 30 4096.0 93.401342 ... 87.211002 85.543487 [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 32.019 seconds) + **Total running time of the script:** ( 6 minutes 34.968 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 fc5781c8b..bc3da4dcd 100644 --- a/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt +++ b/master/_sources/getting-started/tutorials/05-layer-norm.rst.txt @@ -39,35 +39,35 @@ Layer Normalization layer-norm: N Triton Torch Apex 0 1024.0 585.142849 277.694907 468.114273 - 1 1536.0 630.153868 327.679984 511.999982 + 1 1536.0 630.153868 323.368435 511.999982 2 2048.0 668.734716 334.367358 520.126988 - 3 2560.0 694.237267 362.477870 518.481028 - 4 3072.0 702.171410 375.206126 501.551037 - 5 3584.0 725.873439 384.859062 455.111115 - 6 4096.0 728.177767 381.023256 451.972420 - 7 4608.0 670.254540 394.267384 418.909088 + 3 2560.0 694.237267 365.714281 518.481028 + 4 3072.0 712.347810 378.092307 496.484863 + 5 3584.0 725.873439 384.859062 451.527536 + 6 4096.0 728.177767 381.023256 455.111095 + 7 4608.0 670.254540 394.267384 421.302872 8 5120.0 688.403381 397.669909 424.455959 - 9 5632.0 704.000002 395.228063 411.470331 + 9 5632.0 698.542675 396.969169 411.470331 10 6144.0 697.191505 402.885254 409.600010 - 11 6656.0 700.631610 398.861429 400.360920 - 12 7168.0 686.754468 394.116833 384.859062 - 13 7680.0 678.895043 393.846167 385.203746 - 14 8192.0 633.198054 388.937680 369.216905 - 15 8704.0 624.502255 390.095225 379.465939 - 16 9216.0 604.327881 407.337026 381.023249 - 17 9728.0 587.350922 408.524944 382.427505 - 18 10240.0 564.965524 409.600010 382.803739 - 19 10752.0 546.133312 411.559798 381.445676 - 20 11264.0 533.207081 405.909906 375.466676 - 21 11776.0 520.486200 409.599991 377.587162 - 22 12288.0 513.336807 413.911572 383.251457 - 23 12800.0 504.433489 409.599981 375.779805 - 24 13312.0 494.180982 405.699062 376.310952 - 25 13824.0 481.882350 411.888257 378.739711 - 26 14336.0 470.997935 405.257949 371.158581 - 27 14848.0 460.403127 407.492270 374.712936 - 28 15360.0 454.269882 406.887417 377.511515 - 29 15872.0 446.312810 406.974373 375.668625 + 11 6656.0 700.631610 400.360920 400.360920 + 12 7168.0 686.754468 396.844306 387.459443 + 13 7680.0 682.666656 393.846167 386.415087 + 14 8192.0 636.271854 393.609605 371.308771 + 15 8704.0 627.315309 389.005597 381.545190 + 16 9216.0 606.814809 407.337026 383.999986 + 17 9728.0 587.350922 409.599987 383.369452 + 18 10240.0 564.965524 408.578556 382.803739 + 19 10752.0 546.133312 412.546760 381.445676 + 20 11264.0 533.207081 406.826188 373.134567 + 21 11776.0 520.486200 410.492372 377.587162 + 22 12288.0 514.680630 414.784810 383.251457 + 23 12800.0 504.433489 410.420828 376.470582 + 24 13312.0 494.180982 405.699062 376.976995 + 25 13824.0 481.882350 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 15872.0 447.098578 406.974373 376.225175 @@ -393,7 +393,7 @@ Layer Normalization .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 5 minutes 37.208 seconds) + **Total running time of the script:** ( 5 minutes 37.668 seconds) .. _sphx_glr_download_getting-started_tutorials_05-layer-norm.py: diff --git a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt index 228c0d6c8..297ebf116 100644 --- a/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt +++ b/master/_sources/getting-started/tutorials/07-libdevice-function.rst.txt @@ -152,7 +152,7 @@ We can also customize the libdevice library path by passing the path to the `lib .. rst-class:: sphx-glr-timing - **Total running time of the script:** ( 0 minutes 0.011 seconds) + **Total running time of the script:** ( 0 minutes 0.010 seconds) .. _sphx_glr_download_getting-started_tutorials_07-libdevice-function.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 977a7087e..7ac348c76 100644 --- a/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt +++ b/master/_sources/getting-started/tutorials/sg_execution_times.rst.txt @@ -5,20 +5,20 @@ Computation times ================= -**17:22.656** total execution time for **getting-started_tutorials** files: +**17:30.791** total execution time for **getting-started_tutorials** files: +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:32.019 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_03-matrix-multiplication.py` (``03-matrix-multiplication.py``) | 06:34.968 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:37.208 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_05-layer-norm.py` (``05-layer-norm.py``) | 05:37.668 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:29.352 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_02-fused-softmax.py` (``02-fused-softmax.py``) | 03:31.142 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:43.980 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_01-vector-add.py` (``01-vector-add.py``) | 01:46.918 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ | :ref:`sphx_glr_getting-started_tutorials_06-fused-attention.py` (``06-fused-attention.py``) | 00:00.073 | 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 | +---------------------------------------------------------------------------------------------------------+-----------+--------+ -| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.011 | 0.0 MB | +| :ref:`sphx_glr_getting-started_tutorials_07-libdevice-function.py` (``07-libdevice-function.py``) | 00:00.010 | 0.0 MB | +---------------------------------------------------------------------------------------------------------+-----------+--------+ diff --git a/master/getting-started/tutorials/01-vector-add.html b/master/getting-started/tutorials/01-vector-add.html index 91a52e6c6..87bebbcbc 100644 --- a/master/getting-started/tutorials/01-vector-add.html +++ b/master/getting-started/tutorials/01-vector-add.html @@ -325,24 +325,24 @@ for different problem sizes.
vector-add-performance:
size Triton Torch
0 4096.0 9.600000 9.600000
-1 8192.0 15.999999 19.200000
+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 63.999998
4 65536.0 127.999995 127.999995
5 131072.0 219.428568 219.428568
-6 262144.0 341.333321 341.333321
+6 262144.0 341.333321 384.000001
7 524288.0 472.615390 472.615390
8 1048576.0 614.400016 614.400016
9 2097152.0 722.823517 702.171410
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 842.004273
+13 33554432.0 842.004273 843.811163
14 67108864.0 847.448255 848.362445
15 134217728.0 849.737435 850.656574
Total running time of the script: ( 1 minutes 43.980 seconds)
+Total running time of the script: ( 1 minutes 46.918 seconds)