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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_1/squeeze_float_1.mod.py18
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diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/squeeze_float_1.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/squeeze_float_1.mod.py
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index 000000000..1a54ae7a1
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+++ b/runtimes/tests/neural_networks_test/specs/V1_1/squeeze_float_1.mod.py
@@ -0,0 +1,18 @@
+model = Model()
+i1 = Input("input", "TENSOR_FLOAT32", "{1, 24, 1}")
+squeezeDims = Parameter("squeezeDims", "TENSOR_INT32", "{1}", [2])
+output = Output("output", "TENSOR_FLOAT32", "{1, 24}")
+
+model = model.Operation("SQUEEZE", i1, squeezeDims).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
+ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]}
+
+output0 = {output: # output 0
+ [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,
+ 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24]}
+
+# Instantiate an example
+Example((input0, output0))