Fix benchmark accuracy mode (#1297)

Author: mengniwang95

neural_compressor/experimental/benchmark.py

@@ -100,9 +100,6 @@ def __init__(self, conf_fname_or_obj=None):
     def __call__(self, mode='performance'):
         cfg = self.conf.usr_cfg
         assert cfg.evaluation is not None, 'benchmark evaluation filed should not be None...'
-        # use first eval config in yaml if mode from __call__not same with yaml config
-        if not mode in cfg.evaluation:
-            mode = list(cfg.evaluation.keys())[0]
         assert sys.platform in ['linux', 'win32'], 'only support platform windows and linux...'
         set_all_env_var(deep_get(cfg, 'evaluation.{}.configs'.format(mode)))
         # disable multi-instance for accuracy mode

test/benchmark/test_benchmark.py

@@ -255,7 +255,7 @@ def test_benchmark_without_yaml(self):
         os.system("python fake2.py --input_model={} 2>&1 | tee benchmark.log".format(self.graph_path))
         with open('benchmark.log', "r") as f:
             for line in f:
-                accuracy = re.search(r"Accuracy is\s+(\d+(\.\d+)?)", line)
+                accuracy = re.search(r"Throughput: (\d+(\.\d+)?)", line)
             self.assertIsNotNone(accuracy)
         os.system("rm *.log")