arina-grovety commented on code in PR #13212:
URL: https://github.com/apache/tvm/pull/13212#discussion_r1084048146
##########
tests/python/driver/tvmc/test_compiler.py:
##########
@@ -48,6 +51,144 @@ def test_save_dumps(tmpdir_factory):
assert path.exists("{}/{}".format(tmpdir, "fake_module.relay"))
+def test_save_dump_offloads_ethosu(tmp_path_factory):
+ def representative_dataset_random_gen():
+ np.random.seed(0)
+ data = np.random.random_sample(input_shape)
+ yield [data.astype(np.float32)]
+
+ tflite = pytest.importorskip("tflite")
+ tensorflow = pytest.importorskip("tensorflow")
+ pytest.importorskip("ethosu.vela")
+
+ from tensorflow.keras import layers
+ from tensorflow.keras.models import Model
+ from tvm.driver.tvmc.model import TVMCModel
+
+ inp = (224, 224, 8)
+ input_shape = (1, *inp)
+
+ inputs = layers.Input(shape=inp)
+ conv_1 = layers.Conv2D(32, (3, 3), padding="same", strides=2)(inputs)
+ dns_1 = layers.Dense(12, activation="linear")(conv_1)
+ outputs = layers.ZeroPadding2D()(dns_1)
+
+ tf_model = Model(inputs, outputs)
+
+ converter = tensorflow.lite.TFLiteConverter.from_keras_model(tf_model)
+ converter.optimizations = [tensorflow.lite.Optimize.DEFAULT]
+ converter.representative_dataset = representative_dataset_random_gen
+ converter.target_spec.supported_ops =
[tensorflow.lite.OpsSet.TFLITE_BUILTINS_INT8]
+ converter.inference_input_type = tensorflow.int8
+ converter.inference_output_type = tensorflow.int8
+ tflite_model_buf = converter.convert()
Review Comment:
Done.
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