clean code

Signed-off-by: Yi Liu <[email protected]>

Author: Yi4Liu

auto_round/autoround.py

@@ -1075,7 +1075,6 @@ def quant_block(self, block, input_ids, input_others, q_input=None, device=torch
         total_loss = 0
 
         for i in range(self.iters):
-            logger.warning(f"iter {i}")
             total_loss = 0
             if self.sampler == "rand":
                 whole_indices = torch.randperm(nsamples)[:pick_samples]

auto_round/config.py

@@ -13,15 +13,4 @@ class GlobalConfig:
 # The default values are input_backoff=0.25 and weight_backoff=0.5
 global_config = GlobalConfig()
 global_config.FP8_INPUT_BACKOFF = float(os.environ.get("AR_FP8_INPUT_BACKOFF", 1.0))
-global_config.FP8_WEIGHT_BACKOFF = float(os.environ.get("AR_FP8_WEIGHT_BACKOFF", 1.0))
-
-
-# AR_FP8_INPUT_BACKOFF=0.5 AR_FP8_WEIGHT_BACKOFF=1
-import logging
-logger = logging.getLogger(__name__)
-
-logger.warning(f"Global config: {global_config}")
-
-inc_default_config = GlobalConfig(FP8_INPUT_BACKOFF=0.25, FP8_WEIGHT_BACKOFF=0.5)
-config4_in_result_table = inc_default_config
-config5_in_result_table = GlobalConfig(FP8_INPUT_BACKOFF=0.25, FP8_WEIGHT_BACKOFF=1.0)
+global_config.FP8_WEIGHT_BACKOFF = float(os.environ.get("AR_FP8_WEIGHT_BACKOFF", 1.0))