use original table for profile (omitting some columns) (#11)

intermediate_source/inductor_debug_cpu.py

@@ -432,13 +432,66 @@ def trace_handler(p):
         p.step()
 
 ######################################################################
-# We get the following performance profiling table for the eager-mode model:
+# We get the following performance profiling table for the eager-mode model (omitting some columns):
 #
-# .. image:: ../_static/img/eager_prof.png
+# .. code-block:: shell
+#
+#     -------------------------  ------------  ------------  ------------  ------------  
+#                          Name   CPU total %     CPU total  CPU time avg    # of Calls  
+#     -------------------------  ------------  ------------  ------------  ------------  
+#                   aten::addmm        45.73%     370.814ms       1.024ms           362  
+#                     aten::add        19.89%     161.276ms     444.287us           363  
+#                   aten::copy_        14.97%     121.416ms     248.803us           488  
+#                     aten::mul         9.02%      73.154ms     377.082us           194  
+#               aten::clamp_min         8.81%      71.444ms     744.208us            96  
+#                     aten::bmm         5.46%      44.258ms     922.042us            48  
+#                 ProfilerStep*       100.00%     810.920ms     810.920ms             1  
+#                     aten::div         2.89%      23.447ms     976.958us            24  
+#                aten::_softmax         1.00%       8.087ms     336.958us            24  
+#                  aten::linear        46.48%     376.888ms       1.041ms           362  
+#                   aten::clone         2.77%      22.430ms     228.878us            98  
+#                       aten::t         0.31%       2.502ms       6.912us           362  
+#                    aten::view         0.14%       1.161ms       1.366us           850  
+#               aten::transpose         0.17%       1.377ms       3.567us           386  
+#            aten::index_select         0.12%     952.000us     317.333us             3  
+#                  aten::expand         0.12%     986.000us       2.153us           458  
+#                  aten::matmul         8.31%      67.420ms       1.405ms            48  
+#                     aten::cat         0.09%     703.000us     703.000us             1  
+#              aten::as_strided         0.08%     656.000us       0.681us           963  
+#                    aten::relu         8.86%      71.864ms     748.583us            96  
+#     -------------------------  ------------  ------------  ------------  ------------  
+#     Self CPU time total: 810.920ms
+
+#
+# Similarly, we also get the table for the compiled model with Inductor (omitting some columns):
 #
-# Similarly, we also get the table for the compiled model with Inductor:
+# .. code-block:: shell
 #
-# .. image:: ../_static/img/inductor_prof.png
+#     -----------------------------------------------  ------------  ------------  ------------  
+#                                                Name   CPU total %     CPU total    # of Calls  
+#     -----------------------------------------------  ------------  ------------  ------------  
+#                                    mkl::_mkl_linear        68.79%     231.573ms           362  
+#                                           aten::bmm         8.02%      26.992ms            48  
+#                                       ProfilerStep*       100.00%     336.642ms             1  
+#       graph_0_cpp_fused_constant_pad_nd_embedding_0         0.27%     915.000us             1  
+#                                         aten::empty         0.27%     911.000us           362  
+#      graph_0_cpp_fused__mkl_linear_add_mul_relu_151         0.27%     901.000us             1  
+#      graph_0_cpp_fused__mkl_linear_add_mul_relu_226         0.27%     899.000us             1  
+#      graph_0_cpp_fused__mkl_linear_add_mul_relu_361         0.27%     898.000us             1  
+#      graph_0_cpp_fused__mkl_linear_add_mul_relu_121         0.27%     895.000us             1  
+#       graph_0_cpp_fused__mkl_linear_add_mul_relu_31         0.27%     893.000us             1  
+#       graph_0_cpp_fused__mkl_linear_add_mul_relu_76         0.26%     892.000us             1  
+#      graph_0_cpp_fused__mkl_linear_add_mul_relu_256         0.26%     892.000us             1  
+#      graph_0_cpp_fused__mkl_linear_add_mul_relu_346         0.26%     892.000us             1  
+#      graph_0_cpp_fused__mkl_linear_add_mul_relu_241         0.26%     891.000us             1  
+#      graph_0_cpp_fused__mkl_linear_add_mul_relu_316         0.26%     891.000us             1  
+#       graph_0_cpp_fused__mkl_linear_add_mul_relu_91         0.26%     890.000us             1  
+#      graph_0_cpp_fused__mkl_linear_add_mul_relu_106         0.26%     890.000us             1  
+#      graph_0_cpp_fused__mkl_linear_add_mul_relu_211         0.26%     890.000us             1  
+#       graph_0_cpp_fused__mkl_linear_add_mul_relu_61         0.26%     889.000us             1  
+#      graph_0_cpp_fused__mkl_linear_add_mul_relu_286         0.26%     889.000us             1  
+#     -----------------------------------------------  ------------  ------------  ------------  
+#     Self CPU time total: 336.642ms 
 #
 # From the profiling table of the eager model, we can see the most time consumption ops are [``aten::addmm``, ``aten::add``, ``aten::copy_``, ``aten::mul``, ``aten::clamp_min``, ``aten::bmm``].
 # Comparing with the inductor model profiling table, we notice an ``mkl::_mkl_linear`` entry and multiple fused kernels in the form ``graph_0_cpp_fused_*``. They are the major