Measure time extracting features

This commit is contained in:
2021-06-29 07:52:04 -05:00
parent 5b4b8adee5
commit 6969f2ffd2

View File

@@ -4,6 +4,7 @@
import logging
import traceback
import time
from typing import Optional, List, Any, cast, Dict, Tuple
from p_tqdm import p_map
@@ -166,7 +167,12 @@ class LearningSolver:
# Extract features (after-load)
# -------------------------------------------------------
logger.info("Extracting features (after-load)...")
initial_time = time.time()
features = self.extractor.extract(instance, self.internal_solver)
logger.info(
"Features (after-load) extracted in %.2f seconds"
% (time.time() - initial_time)
)
features.extra = {}
sample.after_load = features
@@ -201,11 +207,16 @@ class LearningSolver:
# Extract features (after-lp)
# -------------------------------------------------------
logger.info("Extracting features (after-lp)...")
initial_time = time.time()
features = self.extractor.extract(
instance,
self.internal_solver,
with_static=False,
)
logger.info(
"Features (after-lp) extracted in %.2f seconds"
% (time.time() - initial_time)
)
features.extra = {}
features.lp_solve = lp_stats
sample.after_lp = features
@@ -269,11 +280,16 @@ class LearningSolver:
# Extract features (after-mip)
# -------------------------------------------------------
logger.info("Extracting features (after-mip)...")
initial_time = time.time()
features = self.extractor.extract(
instance,
self.internal_solver,
with_static=False,
)
logger.info(
"Features (after-mip) extracted in %.2f seconds"
% (time.time() - initial_time)
)
features.mip_solve = mip_stats
features.extra = {}
sample.after_mip = features