tuned/tuned-2.4.0-use_cpupower_for_intel_perf_bias.patch

63 lines
2.2 KiB
Diff

Index: tuned-2.3.0/tuned/plugins/plugin_cpu.py
===================================================================
--- tuned-2.3.0.orig/tuned/plugins/plugin_cpu.py
+++ tuned-2.3.0/tuned/plugins/plugin_cpu.py
@@ -91,7 +91,8 @@
# Check for cpupower, use workaround if not available
self._check_cpupower()
# Check for x86_energy_perf_policy, ignore if not available / supported
- self._check_energy_perf_bias()
+ if self._has_cpupower is False:
+ self._check_energy_perf_bias()
# Check for intel_pstate
self._check_intel_pstate()
else:
@@ -207,7 +208,17 @@
@command_set("energy_perf_bias", per_device=True)
def _set_energy_perf_bias(self, energy_perf_bias, device):
- if self._has_energy_perf_bias:
+ if self._has_cpupower is True:
+ bias_str = str(energy_perf_bias)
+ if bias_str == "performance":
+ bias_str = "0"
+ elif bias_str == "powersave":
+ bias_str = "15"
+ elif bias_str == "normal":
+ bias_str = "6"
+ cpu_id = device.lstrip("cpu")
+ tuned.utils.commands.execute(["cpupower", "-c", cpu_id, "set", "-b", bias_str])
+ elif self._has_energy_perf_bias:
log.info("setting energy_perf_bias '%s' on cpu '%s'" % (energy_perf_bias, device))
cpu_id = device.lstrip("cpu")
self._cmd.execute(["x86_energy_perf_policy", "-c", cpu_id, str(energy_perf_bias)])
@@ -215,14 +226,21 @@
@command_get("energy_perf_bias")
def _get_energy_perf_bias(self, device):
energy_perf_bias = None
- if self._has_energy_perf_bias:
+ if self._has_cpupower is True:
+ cpu_id = device.lstrip("cpu")
+ retcode, lines = tuned.utils.commands.execute(["cpupower", "-c", cpu_id, "info", "-b"])
+ elif self._has_energy_perf_bias:
cpu_id = device.lstrip("cpu")
retcode, lines = self._cmd.execute(["x86_energy_perf_policy", "-c", cpu_id, "-r"])
- if retcode == 0:
- for line in lines.splitlines():
- l = line.split()
- if len(l) == 2:
- energy_perf_bias = l[1]
- break
+ else:
+ return None
+ if retcode == 0:
+ for line in lines.splitlines():
+ if line.startswith("analyzing CPU"):
+ continue
+ l = line.split()
+ if len(l) == 2:
+ energy_perf_bias = l[1]
+ break
return energy_perf_bias