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diff --git a/fluent-bit/lib/wasm-micro-runtime-WAMR-1.2.2/core/iwasm/libraries/wasi-nn/test/models/mult_outputs.py b/fluent-bit/lib/wasm-micro-runtime-WAMR-1.2.2/core/iwasm/libraries/wasi-nn/test/models/mult_outputs.py
new file mode 100755
index 000000000..98a50129c
--- /dev/null
+++ b/fluent-bit/lib/wasm-micro-runtime-WAMR-1.2.2/core/iwasm/libraries/wasi-nn/test/models/mult_outputs.py
@@ -0,0 +1,33 @@
+# Copyright (C) 2019 Intel Corporation. All rights reserved.
+# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
+
+import tensorflow as tf
+import numpy as np
+from keras.layers import AveragePooling2D, Conv2D
+
+from tensorflow.keras import Input, Model
+
+from utils import save_model
+
+
+inputs = Input(shape=(4, 4, 1))
+
+output1 = Conv2D(1, (4, 1), kernel_initializer=tf.keras.initializers.Constant(
+ value=1), bias_initializer='zeros'
+)(inputs)
+output2 = AveragePooling2D(pool_size=(
+ 4, 1), strides=None, padding="valid", data_format=None)(inputs)
+
+model = Model(inputs=inputs, outputs=[output1, output2])
+
+inp = np.arange(16).reshape((1, 4, 4, 1))
+
+print(inp)
+
+res = model.predict(inp)
+
+print(res)
+print(res[0].shape)
+print(res[1].shape)
+
+save_model(model, "mult_out.tflite")