[SW-195526] Rename LOG_LEVEL_HQT to LOG_LEVEL_INC

Rename 'HQT' occurrences in fp8_tests.py and logger.py

Change-Id: Ibbf314410de627f98a54d2230bf8db72aca0c40a

Author: Tiefen-boop

neural_compressor/torch/algorithms/fp8_quant/utils/logger.py

@@ -108,7 +108,7 @@ def get_enable_console_val(self):
         return enableConsole == "TRUE" or enableConsole == "1"
 
     def get_log_level(self):
-        log_level_str = os.environ.get("LOG_LEVEL_HQT", os.environ.get("LOG_LEVEL_ALL"))
+        log_level_str = os.environ.get("LOG_LEVEL_INC", os.environ.get("LOG_LEVEL_ALL"))
         if log_level_str is None:
             return logging.INFO
         if log_level_str not in log_levels:
@@ -159,7 +159,7 @@ def format(self, record):
     def _init_log(self):
         """Setup the logger format and handler."""
         enableConsole = self.get_enable_console_val()
-        self._logger = logging.getLogger("HQT")
+        self._logger = logging.getLogger("INC")
         log_level = self.get_log_level()
         if log_level == logging.IGNORE:
             self._logger.disabled = True
@@ -181,18 +181,18 @@ def _init_log(self):
                 os.makedirs(log_folder, exist_ok=True)
             except OSError as error:
                 print(
-                    f"Warning: Directory '{log_folder}' can not be created for HQT logs: {error.strerror}. Logger is disabled."
+                    f"Warning: Directory '{log_folder}' can not be created for INC logs: {error.strerror}. Logger is disabled."
                 )
                 self._logger.disabled = True
                 pass
-            file_path = log_folder + "/hqt_log.txt"
-            log_file_size = int(os.getenv("HQT_LOG_FILE_SIZE", DEFAULT_LOG_FILE_SIZE))
+            file_path = log_folder + "/inc_log.txt"
+            log_file_size = int(os.getenv("INC_LOG_FILE_SIZE", DEFAULT_LOG_FILE_SIZE))
             if log_file_size < 0:
                 print(
                     f"Warning: Log file size value is not valid [{log_file_size}]. Using default value [{DEFAULT_LOG_FILE_SIZE}]"
                 )
                 log_file_size = DEFAULT_LOG_FILE_SIZE
-            log_file_amount = int(os.getenv("HQT_LOG_FILE_AMOUNT", DEFAULT_LOG_FILE_AMOUNT))
+            log_file_amount = int(os.getenv("INC_LOG_FILE_AMOUNT", DEFAULT_LOG_FILE_AMOUNT))
             if log_file_amount < 0:
                 print(
                     f"Warning: Log file amount value is not valid [{log_file_amount}]. Using default value [{DEFAULT_LOG_FILE_AMOUNT}]"

test/3x/torch/algorithms/fp8_quant/fp8_tests.py

@@ -148,7 +148,7 @@ def forward(self, x, b):
 
     # Test3: (Disable (comment) all other tests, delete all files from the test_outputs folder)
     #        (Change Line 73 above to: model = TinyModel3())
-    # Run: (add LOG_LEVEL_HQT=0/1 for additional logs)
+    # Run: (add LOG_LEVEL_INC=0/1 for additional logs)
     #      (Uncomment lines 164+165)
     # 1) QUANT_CONFIG=test_jsons/test_measure.json python3 fp8_tests.py
     # 2) QUANT_CONFIG=test_jsons/test_hw_quant.json python3 fp8_tests.py