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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_1/squeeze.mod.py16
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diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/squeeze.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/squeeze.mod.py
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+++ b/runtimes/tests/neural_networks_test/specs/V1_1/squeeze.mod.py
@@ -0,0 +1,16 @@
+model = Model()
+i1 = Input("input", "TENSOR_FLOAT32", "{4, 1, 1, 2}")
+squeezeDims = Parameter("squeezeDims", "TENSOR_INT32", "{2}", [1, 2])
+output = Output("output", "TENSOR_FLOAT32", "{4, 2}")
+
+model = model.Operation("SQUEEZE", i1, squeezeDims).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1]}
+
+output0 = {output: # output 0
+ [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1]}
+
+# Instantiate an example
+Example((input0, output0))