commit 20fca524baf99402f742ce38c538f2fd07d5fff9
author Michalis Spyrou <michalis.spyrou@arm.com> Mon Jun 07 14:23:57 2021 +0100
committer Georgios Pinitas <georgios.pinitas@arm.com> Wed Jun 23 12:25:50 2021 +0000
tree b63d98383d1ba22bb3ca59d393e4ab9d47a9c762
parent 1d359279e22874121def2ce4bfdb633d94ea5ade

Create core library using high priority operators

A smaller core library is created using a subset of the operators.
Changed the structure of filelist.json in order to include more
information about the kernels and make the selection easier.

Resolves: COMPMID-4514

Change-Id: I079ca7d8e64346174eebdd13b834e1dd4dc36ca2
Signed-off-by: Michalis Spyrou <michalis.spyrou@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5786
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

src/runtime/CPP/CPPScheduler.cpp

diff --git a/src/runtime/CPP/CPPScheduler.cpp b/src/runtime/CPP/CPPScheduler.cpp
index f112d45..3d7f1f1 100644
--- a/src/runtime/CPP/CPPScheduler.cpp
+++ b/src/runtime/CPP/CPPScheduler.cpp
@@ -493,7 +493,7 @@
     }
     ThreadFeeder feeder(num_threads_to_use, workloads.size());
     ThreadInfo   info;
-    info.cpu_info          = &_cpu_info;
+    info.cpu_info          = &cpu_info();
     info.num_threads       = num_threads_to_use;
     unsigned int t         = 0;
     auto         thread_it = _impl->_threads.begin();

src/runtime/CPP/SingleThreadScheduler.cpp

diff --git a/src/runtime/CPP/SingleThreadScheduler.cpp b/src/runtime/CPP/SingleThreadScheduler.cpp
index 70536b7..5890553 100644
--- a/src/runtime/CPP/SingleThreadScheduler.cpp
+++ b/src/runtime/CPP/SingleThreadScheduler.cpp
@@ -49,7 +49,7 @@
     }
 
     ThreadInfo info;
-    info.cpu_info = &_cpu_info;
+    info.cpu_info = &cpu_info();
     kernel->run(kernel->window(), info);
 }
 
@@ -57,14 +57,14 @@
 {
     ARM_COMPUTE_UNUSED(hints);
     ThreadInfo info;
-    info.cpu_info = &_cpu_info;
+    info.cpu_info = &cpu_info();
     kernel->run_op(tensors, window, info);
 }
 
 void SingleThreadScheduler::run_workloads(std::vector<Workload> &workloads)
 {
     ThreadInfo info;
-    info.cpu_info = &_cpu_info;
+    info.cpu_info = &cpu_info();
     for(auto &wl : workloads)
     {
         wl(info);