add minimal not working example for keras bug in multiprocess process

scripts/keras_MnWE.py

@@ -0,0 +1,60 @@
+import multiprocessing
+
+import numpy as np
+from tensorflow import keras
+from tensorflow.keras import layers
+
+
+def process(predict_fn_wrapper):
+    # We observed memory doesn't get properly deallocated unless we do this:
+    manager = multiprocessing.Manager()
+    return_dict = manager.dict()
+    p = multiprocessing.Process(
+        target=predict_fn_wrapper,
+        args=(
+            return_dict,
+        ),
+    )
+    p.start()
+    p.join()
+    try:
+        return dict(return_dict)["result"]
+    except KeyError:
+        pass
+
+
+def make_model():
+    inputs = keras.Input(shape=(784,))
+    dense = layers.Dense(64, activation="relu")
+    x = dense(inputs)
+    outputs = layers.Dense(10)(x)
+    model = keras.Model(inputs=inputs, outputs=outputs, name="mnist_model")
+    model.compile(
+        loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True),
+        optimizer=keras.optimizers.RMSprop(),
+        metrics=["accuracy"],
+    )
+    return model
+
+
+def make_predict_fn():
+    # Keras bug: doesn't work in outer scope
+    model = make_model()
+
+    def predict(*args):
+        # model = make_model()
+        return model.predict(np.random.random(size=(1, 784)))
+
+    return predict
+
+
+def make_predict_fn_wrapper(predict_fn):
+    def predict_fn_wrapper(return_dict):
+        return_dict["result"] = predict_fn()
+
+    return predict_fn_wrapper
+
+
+if __name__ == "__main__":
+    predict_fn = make_predict_fn()
+    print(process(make_predict_fn_wrapper(predict_fn)))