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-rw-r--r--setup.cfg8
-rw-r--r--src/mlia/nn/tensorflow/optimizations/quantization.py2
2 files changed, 5 insertions, 5 deletions
diff --git a/setup.cfg b/setup.cfg
index a139bb4..4b6c931 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -24,17 +24,17 @@ keywords = ml, arm, ethos-u, tflite
[options]
include_package_data = True
-python_requires = >=3.8.1
+python_requires = >=3.9.0
package_dir =
= src
packages = find_namespace:
install_requires =
- tensorflow~=2.12.1
+ tensorflow~=2.14.1
tensorflow-model-optimization~=0.7.5
- ethos-u-vela~=3.9.0
+ ethos-u-vela~=3.10.0
flaky~=3.7.0
requests~=2.31.0
- rich~=13.5.2
+ rich~=13.7.0
tomli~=2.0.1 ; python_version<"3.11"
[options.packages.find]
diff --git a/src/mlia/nn/tensorflow/optimizations/quantization.py b/src/mlia/nn/tensorflow/optimizations/quantization.py
index 4e3c2c2..02c1d08 100644
--- a/src/mlia/nn/tensorflow/optimizations/quantization.py
+++ b/src/mlia/nn/tensorflow/optimizations/quantization.py
@@ -68,7 +68,7 @@ def quantize(
), f"Input tensor for quantization is of type {tensor.dtype}, but it must be float."
quantized_tensor = (tensor / quant_params.scales) + quant_params.zero_points
- quantized_tensor = np.clip( # type: ignore
+ quantized_tensor = np.clip(
quantized_tensor, -128, 127, dtype=np.int8, casting="unsafe"
)
return cast(np.ndarray, quantized_tensor)