diff --git a/tests/brevitas/test_brevitas_avg_pool_export.py b/tests/brevitas/test_brevitas_avg_pool_export.py
index e78812b21a03baa6963f1f0efaefdb4c73e4d0db..9112ae7ef026c637e7e5a6375f8e9d17b918d63b 100644
--- a/tests/brevitas/test_brevitas_avg_pool_export.py
+++ b/tests/brevitas/test_brevitas_avg_pool_export.py
@@ -45,7 +45,7 @@ def test_brevitas_avg_pool_export(
     scale = np.ones((1, channels, 1, 1))
     output_scale = torch.from_numpy(scale).float()
     input_quant_tensor = pack_quant_tensor(
-        tensor=input_tensor, scale=output_scale, bit_width=ibw_tensor
+        tensor=input_tensor, scale=output_scale, bit_width=ibw_tensor, signed=signed
     )
     bo.export_finn_onnx(b_avgpool, ishape, export_onnx_path, input_t=input_quant_tensor)
     model = ModelWrapper(export_onnx_path)
@@ -65,7 +65,7 @@ def test_brevitas_avg_pool_export(
     inp = gen_finn_dt_tensor(dtype, ishape)
     input_tensor = torch.from_numpy(inp).float()
     input_quant_tensor = pack_quant_tensor(
-        tensor=input_tensor, scale=output_scale, bit_width=ibw_tensor
+        tensor=input_tensor, scale=output_scale, bit_width=ibw_tensor, signed=signed
     )
     b_avgpool.eval()
     expected = b_avgpool.forward(input_quant_tensor).tensor.detach().numpy()
@@ -84,7 +84,7 @@ def test_brevitas_avg_pool_export(
     input_tensor = torch.from_numpy(inp_tensor).float()
     input_scale = torch.from_numpy(scale).float()
     input_quant_tensor = pack_quant_tensor(
-        tensor=input_tensor, scale=input_scale, bit_width=ibw_tensor
+        tensor=input_tensor, scale=input_scale, bit_width=ibw_tensor, signed=signed
     )
     # export again to set the scale values correctly
     bo.export_finn_onnx(b_avgpool, ishape, export_onnx_path, input_t=input_quant_tensor)