and more

test/test_convert_manual_proxy.py

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+import warnings
+
+import numpy as np
+import pytest
+import tensorflow as tf
+from helpers import get_test_dir, run_model_test, set_seed
+from tensorflow import keras
+
+from HGQ import get_default_paq_conf, set_default_paq_conf
+from HGQ.layers import HDense, Signature
+
+
+def create_model():
+    # Here is an extremely terrible example of how to use Signature layer.
+    # This is for test purpose only. Do NOT use it as a reference.
+
+    dense = keras.layers.Dense(8)
+    inp = keras.Input(shape=(8,))
+    out = Signature(0, 4, 4)(inp)
+    out = dense(out)
+    model = keras.Model(inp, out)
+    dense.kernel.assign(tf.constant(np.eye(8).astype(np.float32)))
+    return model
+
+
+def get_data(N: int, seed):
+    rng = np.random.default_rng(seed)
+    data = rng.integers(0, 2**4, (N, 8)).astype(np.float32)
+    return data
+
+
+@pytest.mark.parametrize("N", [1000])
+@pytest.mark.parametrize("io_type", ['io_parallel', 'io_stream'])
+@pytest.mark.parametrize("aggressive", [True, False])
+@pytest.mark.parametrize("backend", ['vivado'])
+@pytest.mark.parametrize("seed", [42])
+def test_syn_hlayers(N: int, io_type: str, aggressive: bool, backend: str, seed: int):
+    dir = get_test_dir()
+    set_seed(seed)
+    model = create_model()
+    data = get_data(N, seed)
+
+    # with pytest.warns(UserWarning, match=r'Layer batch_normalization(?:|_\d+) is unknown. Assuming infinite produced bitwidth') as record:
+    run_model_test(model,
+                   None,
+                   data,
+                   io_type,
+                   backend,
+                   dir,
+                   aggressive,
+                   test_gard=False,
+                   )
+    # assert record