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-rw-r--r--tests/mlia/test_nn_tensorflow_tflite_metrics.py2
-rw-r--r--tests/mlia/utils/common.py2
2 files changed, 2 insertions, 2 deletions
diff --git a/tests/mlia/test_nn_tensorflow_tflite_metrics.py b/tests/mlia/test_nn_tensorflow_tflite_metrics.py
index 805f7d1..cf7aaeb 100644
--- a/tests/mlia/test_nn_tensorflow_tflite_metrics.py
+++ b/tests/mlia/test_nn_tensorflow_tflite_metrics.py
@@ -31,7 +31,7 @@ def _dummy_keras_model() -> tf.keras.Model:
def _sparse_binary_keras_model() -> tf.keras.Model:
- def get_sparse_weights(shape: List[int]) -> np.array:
+ def get_sparse_weights(shape: List[int]) -> np.ndarray:
weights = np.zeros(shape)
with np.nditer(weights, op_flags=["writeonly"]) as weight_iterator:
for idx, value in enumerate(weight_iterator):
diff --git a/tests/mlia/utils/common.py b/tests/mlia/utils/common.py
index 4313cde..932343e 100644
--- a/tests/mlia/utils/common.py
+++ b/tests/mlia/utils/common.py
@@ -7,7 +7,7 @@ import numpy as np
import tensorflow as tf
-def get_dataset() -> Tuple[np.array, np.array]:
+def get_dataset() -> Tuple[np.ndarray, np.ndarray]:
"""Return sample dataset."""
mnist = tf.keras.datasets.mnist
(x_train, y_train), _ = mnist.load_data()