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‎_downloads/3195443a0ced3cabc0ad643537bdb5cd/introyt1_tutorial.ipynb‎

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‎_downloads/4355e2cef7d17548f1e25f97a62828c4/template_tutorial.ipynb‎

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‎_downloads/63a0f0fc7b3ffb15d3a5ac8db3d521ee/tensors_deeper_tutorial.ipynb‎

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‎_downloads/74b90fda9cec339519e5ef764956100f/profiler_recipe.py‎

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######################################################################
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# The output will look like (omitting some columns):
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# --------------------------------- ------------ ------------ ------------ ------------
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# Name Self CPU CPU total CPU time avg # of Calls
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# --------------------------------- ------------ ------------ ------------ ------------
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# model_inference 5.509ms 57.503ms 57.503ms 1
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# aten::conv2d 231.000us 31.931ms 1.597ms 20
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# aten::convolution 250.000us 31.700ms 1.585ms 20
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# aten::_convolution 336.000us 31.450ms 1.573ms 20
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# aten::mkldnn_convolution 30.838ms 31.114ms 1.556ms 20
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# aten::batch_norm 211.000us 14.693ms 734.650us 20
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# aten::_batch_norm_impl_index 319.000us 14.482ms 724.100us 20
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# aten::native_batch_norm 9.229ms 14.109ms 705.450us 20
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# aten::mean 332.000us 2.631ms 125.286us 21
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# aten::select 1.668ms 2.292ms 8.988us 255
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# --------------------------------- ------------ ------------ ------------ ------------
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# Self CPU time total: 57.549m
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#
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# .. code-block:: sh
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#
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# --------------------------------- ------------ ------------ ------------ ------------
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# Name Self CPU CPU total CPU time avg # of Calls
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# --------------------------------- ------------ ------------ ------------ ------------
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# model_inference 5.509ms 57.503ms 57.503ms 1
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# aten::conv2d 231.000us 31.931ms 1.597ms 20
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# aten::convolution 250.000us 31.700ms 1.585ms 20
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# aten::_convolution 336.000us 31.450ms 1.573ms 20
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# aten::mkldnn_convolution 30.838ms 31.114ms 1.556ms 20
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# aten::batch_norm 211.000us 14.693ms 734.650us 20
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# aten::_batch_norm_impl_index 319.000us 14.482ms 724.100us 20
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# aten::native_batch_norm 9.229ms 14.109ms 705.450us 20
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# aten::mean 332.000us 2.631ms 125.286us 21
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# aten::select 1.668ms 2.292ms 8.988us 255
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# --------------------------------- ------------ ------------ ------------ ------------
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# Self CPU time total: 57.549m
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#
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# Self CPU time total: 23.015ms
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# Self CUDA time total: 11.666ms
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#
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######################################################################
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# (Note: the first use of XPU profiling may bring an extra overhead.)
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#
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# .. code-block:: sh
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#
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#------------------------------------------------------- ------------ ------------ ------------ ------------ ------------
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# Name Self XPU Self XPU % XPU total XPU time avg # of Calls
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# ------------------------------------------------------- ------------ ------------ ------------ ------------ ------------
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# model_inference 0.000us 0.00% 2.567ms 2.567ms 1
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# aten::conv2d 0.000us 0.00% 1.871ms 93.560us 20
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# aten::convolution 0.000us 0.00% 1.871ms 93.560us 20
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# aten::_convolution 0.000us 0.00% 1.871ms 93.560us 20
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# aten::convolution_overrideable 1.871ms 72.89% 1.871ms 93.560us 20
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# gen_conv 1.484ms 57.82% 1.484ms 74.216us 20
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# aten::batch_norm 0.000us 0.00% 432.640us 21.632us 20
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# aten::_batch_norm_impl_index 0.000us 0.00% 432.640us 21.632us 20
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# aten::native_batch_norm 432.640us 16.85% 432.640us 21.632us 20
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# conv_reorder 386.880us 15.07% 386.880us 6.448us 60
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# ------------------------------------------------------- ------------ ------------ ------------ ------------ ------------
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# Self CPU time total: 712.486ms
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# Self XPU time total: 2.567ms
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# ------------------------------ ------------ ------------ ------------ ------------ ------------
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# Name Self XPU Self XPU % XPU total XPU time avg # of Calls
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# ------------------------------ ------------ ------------ ------------ ------------ ------------
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# model_inference 0.000us 0.00% 2.567ms 2.567ms 1
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# aten::conv2d 0.000us 0.00% 1.871ms 93.560us 20
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# aten::convolution 0.000us 0.00% 1.871ms 93.560us 20
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# aten::_convolution 0.000us 0.00% 1.871ms 93.560us 20
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# aten::convolution_overrideable 1.871ms 72.89% 1.871ms 93.560us 20
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# gen_conv 1.484ms 57.82% 1.484ms 74.216us 20
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# aten::batch_norm 0.000us 0.00% 432.640us 21.632us 20
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# aten::_batch_norm_impl_index 0.000us 0.00% 432.640us 21.632us 20
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# aten::native_batch_norm 432.640us 16.85% 432.640us 21.632us 20
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# conv_reorder 386.880us 15.07% 386.880us 6.448us 60
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# ------------------------------ ------------ ------------ ------------ ------------ ------------
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# Self CPU time total: 712.486ms
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# Self XPU time total: 2.567ms
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# Note the occurrence of on-device kernels in the output (e.g. ``sgemm_32x32x32_NN``).
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# Note the occurrence of on-device kernels in the output (e.g. ``sgemm_32x32x32_NN`` for CUDA or ``gen_conv`` for XPU).
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# 4. Using profiler to analyze memory consumption

‎_downloads/770632dd3941d2a51b831c52ded57aa2/trainingyt.ipynb‎

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‎_downloads/b2c9c15033f17c2bdf31c864f9d39c76/profiler_recipe.ipynb‎

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"The output will look like (omitting some columns):\n"
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]
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},
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{
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"execution_count": null,
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"# --------------------------------- ------------ ------------ ------------ ------------\n",
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"# Name Self CPU CPU total CPU time avg # of Calls\n",
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"# --------------------------------- ------------ ------------ ------------ ------------\n",
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"# model_inference 5.509ms 57.503ms 57.503ms 1\n",
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"# aten::conv2d 231.000us 31.931ms 1.597ms 20\n",
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"# aten::convolution 250.000us 31.700ms 1.585ms 20\n",
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"# aten::_convolution 336.000us 31.450ms 1.573ms 20\n",
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"# aten::mkldnn_convolution 30.838ms 31.114ms 1.556ms 20\n",
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"# aten::batch_norm 211.000us 14.693ms 734.650us 20\n",
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"# aten::_batch_norm_impl_index 319.000us 14.482ms 724.100us 20\n",
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"# aten::native_batch_norm 9.229ms 14.109ms 705.450us 20\n",
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"# aten::mean 332.000us 2.631ms 125.286us 21\n",
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"# aten::select 1.668ms 2.292ms 8.988us 255\n",
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"# --------------------------------- ------------ ------------ ------------ ------------\n",
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"# Self CPU time total: 57.549m\n",
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"#"
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"The output will look like (omitting some columns):\n",
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"\n",
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"``` {.sh}\n",
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"--------------------------------- ------------ ------------ ------------ ------------\n",
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" Name Self CPU CPU total CPU time avg # of Calls\n",
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"--------------------------------- ------------ ------------ ------------ ------------\n",
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" model_inference 5.509ms 57.503ms 57.503ms 1\n",
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" aten::conv2d 231.000us 31.931ms 1.597ms 20\n",
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" aten::convolution 250.000us 31.700ms 1.585ms 20\n",
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" aten::_convolution 336.000us 31.450ms 1.573ms 20\n",
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" aten::mkldnn_convolution 30.838ms 31.114ms 1.556ms 20\n",
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" aten::batch_norm 211.000us 14.693ms 734.650us 20\n",
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" aten::_batch_norm_impl_index 319.000us 14.482ms 724.100us 20\n",
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" aten::native_batch_norm 9.229ms 14.109ms 705.450us 20\n",
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" aten::mean 332.000us 2.631ms 125.286us 21\n",
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" aten::select 1.668ms 2.292ms 8.988us 255\n",
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"--------------------------------- ------------ ------------ ------------ ------------\n",
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"Self CPU time total: 57.549m\n",
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"```\n"
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"The resulting table output (omitting some columns):\n",
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"\n",
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"> ``` {.sh}\n",
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"> ------------------------------------------------------- ------------ ------------\n",
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"> Name Self CUDA CUDA total\n",
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"> ------------------------------------------------------- ------------ ------------\n",
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"> model_inference 0.000us 11.666ms\n",
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"> aten::conv2d 0.000us 10.484ms\n",
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"> aten::convolution 0.000us 10.484ms\n",
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"> aten::_convolution 0.000us 10.484ms\n",
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"> aten::_convolution_nogroup 0.000us 10.484ms\n",
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"> aten::thnn_conv2d 0.000us 10.484ms\n",
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"> aten::thnn_conv2d_forward 10.484ms 10.484ms\n",
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"> void at::native::im2col_kernel<float>(long, float co... 3.844ms 3.844ms\n",
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"> sgemm_32x32x32_NN 3.206ms 3.206ms\n",
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"> sgemm_32x32x32_NN_vec 3.093ms 3.093ms\n",
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"> ------------------------------------------------------- ------------ ------------\n",
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"> Self CPU time total: 23.015ms\n",
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"> Self CUDA time total: 11.666ms\n",
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"> ```\n",
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"\n",
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"------------------------------------------------------------------------\n"
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"``` {.sh}\n",
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"------------------------------------------------------- ------------ ------------\n",
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" Name Self CUDA CUDA total\n",
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"------------------------------------------------------- ------------ ------------\n",
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" model_inference 0.000us 11.666ms\n",
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" aten::conv2d 0.000us 10.484ms\n",
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" aten::convolution 0.000us 10.484ms\n",
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" aten::_convolution 0.000us 10.484ms\n",
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" aten::_convolution_nogroup 0.000us 10.484ms\n",
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" aten::thnn_conv2d 0.000us 10.484ms\n",
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" aten::thnn_conv2d_forward 10.484ms 10.484ms\n",
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"void at::native::im2col_kernel<float>(long, float co... 3.844ms 3.844ms\n",
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" sgemm_32x32x32_NN 3.206ms 3.206ms\n",
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" sgemm_32x32x32_NN_vec 3.093ms 3.093ms\n",
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"------------------------------------------------------- ------------ ------------\n",
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"Self CPU time total: 23.015ms\n",
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"Self CUDA time total: 11.666ms\n",
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"```\n"
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"> ``` {.sh}\n",
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"> ```\n",
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"\n",
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"\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- Name Self XPU Self XPU % XPU total XPU time avg \\# of Calls\n",
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": \n",
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" \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- model\\_inference 0.000us 0.00% 2.567ms 2.567ms 1\n",
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" : aten::conv2d 0.000us 0.00% 1.871ms 93.560us 20 aten::convolution\n",
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" 0.000us 0.00% 1.871ms 93.560us 20 aten::\\_convolution 0.000us\n",
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" 0.00% 1.871ms 93.560us 20 aten::convolution\\_overrideable\n",
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" 1.871ms 72.89% 1.871ms 93.560us 20 gen\\_conv 1.484ms 57.82%\n",
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" 1.484ms 74.216us 20 aten::batch\\_norm 0.000us 0.00% 432.640us\n",
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" 21.632us 20 aten::\\_batch\\_norm\\_impl\\_index 0.000us 0.00%\n",
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" 432.640us 21.632us 20 aten::native\\_batch\\_norm 432.640us 16.85%\n",
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" 432.640us 21.632us 20 conv\\_reorder 386.880us 15.07% 386.880us\n",
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" \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\--\n",
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" \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\--\n",
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" \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\-- \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\--\n",
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" \\-\\-\\-\\-\\-\\-\\-\\-\\-\\-\\--Self CPU time total: 712.486ms Self XPU time\n",
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" total: 2.567ms\n"
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"``` {.sh}\n",
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"------------------------------ ------------ ------------ ------------ ------------ ------------\n",
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" Name Self XPU Self XPU % XPU total XPU time avg # of Calls\n",
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"------------------------------ ------------ ------------ ------------ ------------ ------------\n",
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" model_inference 0.000us 0.00% 2.567ms 2.567ms 1\n",
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" aten::conv2d 0.000us 0.00% 1.871ms 93.560us 20\n",
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" aten::convolution 0.000us 0.00% 1.871ms 93.560us 20\n",
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" aten::_convolution 0.000us 0.00% 1.871ms 93.560us 20\n",
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"aten::convolution_overrideable 1.871ms 72.89% 1.871ms 93.560us 20\n",
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" gen_conv 1.484ms 57.82% 1.484ms 74.216us 20\n",
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" aten::batch_norm 0.000us 0.00% 432.640us 21.632us 20\n",
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" aten::_batch_norm_impl_index 0.000us 0.00% 432.640us 21.632us 20\n",
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" aten::native_batch_norm 432.640us 16.85% 432.640us 21.632us 20\n",
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" conv_reorder 386.880us 15.07% 386.880us 6.448us 60\n",
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"------------------------------ ------------ ------------ ------------ ------------ ------------\n",
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"Self CPU time total: 712.486ms\n",
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"Self XPU time total: 2.567ms\n",
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"```\n"
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"`sgemm_32x32x32_NN`).\n"
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"`sgemm_32x32x32_NN` for CUDA or `gen_conv` for XPU).\n"
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‎_downloads/c28f42852d456daf9af72da6c6909556/captumyt.ipynb‎

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‎_downloads/e2e556f6b4693c2cef716dd7f40caaf6/tensorboardyt_tutorial.ipynb‎

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‎_downloads/ed9d4f94afb79f7dada6742a06c486a5/autogradyt_tutorial.ipynb‎

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