MLIA-607 Update documentation and comments

Use "TensorFlow Lite" instead of "TFLite" in
documentation and comments

Change-Id: Ie4450d72fb2e5261d152d72ab8bd94c3da914c46

1 files changed, 5 insertions, 5 deletions

diff --git a/src/mlia/nn/tensorflow/tflite_metrics.py b/src/mlia/nn/tensorflow/tflite_metrics.py
index 0af7500..d7ae2a4 100644
--- a/src/mlia/nn/tensorflow/tflite_metrics.py
+++ b/src/mlia/nn/tensorflow/tflite_metrics.py
@@ -1,7 +1,7 @@
 # SPDX-FileCopyrightText: Copyright 2022, Arm Limited and/or its affiliates.
 # SPDX-License-Identifier: Apache-2.0
 """
-Contains class TFLiteMetrics to calculate metrics from a TFLite file.
+Contains class TFLiteMetrics to calculate metrics from a TensorFlow Lite file.
 
 These metrics include:
 * Sparsity (per layer and overall)
@@ -102,7 +102,7 @@ class ReportClusterMode(Enum):
 
 
 class TFLiteMetrics:
-    """Helper class to calculate metrics from a TFLite file.
+    """Helper class to calculate metrics from a TensorFlow Lite file.
 
     Metrics include:
     * sparsity (per-layer and overall)
@@ -111,12 +111,12 @@ class TFLiteMetrics:
     """
 
     def __init__(self, tflite_file: str, ignore_list: list[str] | None = None) -> None:
-        """Load the TFLite file and filter layers."""
+        """Load the TensorFlow Lite file and filter layers."""
         self.tflite_file = tflite_file
         if ignore_list is None:
             ignore_list = DEFAULT_IGNORE_LIST
         self.ignore_list = [ignore.casefold() for ignore in ignore_list]
-        # Initialize the TFLite interpreter with the model file
+        # Initialize the TensorFlow Lite interpreter with the model file
         self.interpreter = tf.lite.Interpreter(
             model_path=tflite_file, experimental_preserve_all_tensors=True
         )
@@ -218,7 +218,7 @@ class TFLiteMetrics:
         """Print a summary of all the model information."""
         print(f"Model file: {self.tflite_file}")
         print("#" * 80)
-        print(" " * 28 + "### TFLITE SUMMARY ###")
+        print(" " * 28 + "### TENSORFLOW LITE SUMMARY ###")
         print(f"File: {os.path.abspath(self.tflite_file)}")
         print("Input(s):")
         self._print_in_outs(self.interpreter.get_input_details(), verbose)