aboutsummaryrefslogtreecommitdiff
path: root/src/mlia/target/cortex_a/advisor.py
diff options
context:
space:
mode:
Diffstat (limited to 'src/mlia/target/cortex_a/advisor.py')
-rw-r--r--src/mlia/target/cortex_a/advisor.py16
1 files changed, 9 insertions, 7 deletions
diff --git a/src/mlia/target/cortex_a/advisor.py b/src/mlia/target/cortex_a/advisor.py
index db07b96..eb7720a 100644
--- a/src/mlia/target/cortex_a/advisor.py
+++ b/src/mlia/target/cortex_a/advisor.py
@@ -16,6 +16,8 @@ from mlia.core.context import ExecutionContext
from mlia.core.data_analysis import DataAnalyzer
from mlia.core.data_collection import DataCollector
from mlia.core.events import Event
+from mlia.target.common.optimization import add_common_optimization_params
+from mlia.target.common.optimization import OptimizingDataCollector
from mlia.target.cortex_a.advice_generation import CortexAAdviceProducer
from mlia.target.cortex_a.config import CortexAConfiguration
from mlia.target.cortex_a.data_analysis import CortexADataAnalyzer
@@ -50,9 +52,7 @@ class CortexAInferenceAdvisor(DefaultInferenceAdvisor):
)
if context.category_enabled(AdviceCategory.OPTIMIZATION):
- raise RuntimeError(
- "Model optimizations are currently not supported for Cortex-A."
- )
+ collectors.append(OptimizingDataCollector(model, target_config))
return collectors
@@ -82,20 +82,22 @@ def configure_and_get_cortexa_advisor(
context: ExecutionContext,
target_profile: str | Path,
model: str | Path,
- **_extra_args: Any,
+ **extra_args: Any,
) -> InferenceAdvisor:
"""Create and configure Cortex-A advisor."""
if context.event_handlers is None:
context.event_handlers = [CortexAEventHandler()]
if context.config_parameters is None:
- context.config_parameters = _get_config_parameters(model, target_profile)
+ context.config_parameters = _get_config_parameters(
+ model, target_profile, **extra_args
+ )
return CortexAInferenceAdvisor()
def _get_config_parameters(
- model: str | Path, target_profile: str | Path
+ model: str | Path, target_profile: str | Path, **extra_args: Any
) -> dict[str, Any]:
"""Get configuration parameters for the advisor."""
advisor_parameters: dict[str, Any] = {
@@ -104,5 +106,5 @@ def _get_config_parameters(
"target_profile": target_profile,
},
}
-
+ add_common_optimization_params(advisor_parameters, extra_args)
return advisor_parameters