MLIA-701 Update dependencies

- Update TensorFlow dependencies for x86_64
- Adapt unit tests to new TensorFlow version
- Update linters (including pre-commit hooks) and fix issues
- Use conditional import to fix tflite compat code for aarch64

Change-Id: I1a9b080b900ab65e38f7f2552562822bbfdcd259

1 files changed, 4 insertions, 4 deletions

diff --git a/tests/test_nn_tensorflow_tflite_compat.py b/tests/test_nn_tensorflow_tflite_compat.py
index c330fdb..1bd4c34 100644
--- a/tests/test_nn_tensorflow_tflite_compat.py
+++ b/tests/test_nn_tensorflow_tflite_compat.py
@@ -8,8 +8,8 @@ from unittest.mock import MagicMock
 import pytest
 import tensorflow as tf
 from tensorflow.lite.python import convert
-from tensorflow.lite.python.metrics import converter_error_data_pb2
 
+from mlia.nn.tensorflow.tflite_compat import converter_error_data_pb2
 from mlia.nn.tensorflow.tflite_compat import TFLiteChecker
 from mlia.nn.tensorflow.tflite_compat import TFLiteCompatibilityInfo
 from mlia.nn.tensorflow.tflite_compat import TFLiteConversionError
@@ -21,7 +21,7 @@ def test_not_fully_compatible_model_flex_ops() -> None:
     model = tf.keras.models.Sequential(
         [
             tf.keras.layers.Dense(units=1, input_shape=[1], batch_size=1),
-            tf.keras.layers.Dense(units=16, activation="gelu"),
+            tf.keras.layers.Dense(units=16, activation="softsign"),
             tf.keras.layers.Dense(units=1),
         ]
     )
@@ -36,9 +36,9 @@ def test_not_fully_compatible_model_flex_ops() -> None:
 
     conv_err = result.conversion_errors[0]
     assert isinstance(conv_err, TFLiteConversionError)
-    assert conv_err.message == "'tf.Erf' op is neither a custom op nor a flex op"
+    assert conv_err.message == "'tf.Softsign' op is neither a custom op nor a flex op"
     assert conv_err.code == TFLiteConversionErrorCode.NEEDS_FLEX_OPS
-    assert conv_err.operator == "tf.Erf"
+    assert conv_err.operator == "tf.Softsign"
     assert len(conv_err.location) == 3