Add a test for QKeras activations passed as an argument

test/pytest/test_qactivation.py

@@ -0,0 +1,41 @@
+import pytest
+import numpy as np
+import qkeras
+import hls4ml
+
+from tensorflow.keras.layers import Input
+from tensorflow.keras.models import Model
+from tensorflow.keras.initializers import Ones
+from qkeras.quantizers import quantized_bits, quantized_relu, ternary, binary
+
+from pathlib import Path
+
+test_root_path = Path(__file__).parent
+
+@pytest.mark.parametrize(
+    'quantizer', [
+        ('binary'),
+        ('ternary'),
+        ('quantized_bits(8, 2)'),
+        ('quantized_relu(8, 2)')
+    ]
+)
+def test_qactivation_kwarg(quantizer):
+    inputs = Input(shape=(10,))
+    outputs = qkeras.QDense(
+        10,
+        kernel_quantizer=qkeras.quantized_bits(8, 2),
+        activation=quantizer
+    )(inputs)
+
+    model = Model(inputs, outputs)
+    out_dir = str(test_root_path / 'hls4mlprj_qactivation_kwarg_{}'.format(
+        quantizer)
+    )
+    config = hls4ml.utils.config_from_keras_model(model, granularity='name')
+    hls_model = hls4ml.converters.convert_from_keras_model(
+        model,
+        hls_config=config,
+        output_dir=out_dir
+    )
+    hls_model.compile()