--- /dev/null
+# model
+model = Model()
+i1 = Input("op1", "TENSOR_FLOAT32", "{2, 2}")
+i2 = Parameter("op2", "TENSOR_INT32", "{2, 2}", [1, 2, 2, 1])
+i3 = Output("op3", "TENSOR_FLOAT32", "{5, 5}")
+model = model.Operation("PAD", i1, i2).To(i3)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1.0, 2.0,
+ 3.0, 4.0,]}
+
+output0 = {i3: # output 0
+ [0.0, 0.0, 0.0, 0.0, 0.0,
+ 0.0, 0.0, 1.0, 2.0, 0.0,
+ 0.0, 0.0, 3.0, 4.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0, 0.0]}
+
+# Instantiate an example
+Example((input0, output0))
--- /dev/null
+# model
+model = Model()
+i1 = Input("op1", "TENSOR_FLOAT32", "{2, 2, 2}")
+i2 = Parameter("op2", "TENSOR_INT32", "{3, 2}", [1, 0, 0, 1, 1, 1])
+i3 = Output("op3", "TENSOR_FLOAT32", "{3, 3, 4}")
+model = model.Operation("PAD", i1, i2).To(i3)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1.0, 2.0,
+ 3.0, 4.0,
+ 5.0, 6.0,
+ 7.0, 8.0]}
+
+output0 = {i3: # output 0
+ [0.0, 0.0, 0.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0,
+ 0.0, 1.0, 2.0, 0.0,
+ 0.0, 3.0, 4.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0,
+ 0.0, 5.0, 6.0, 0.0,
+ 0.0, 7.0, 8.0, 0.0,
+ 0.0, 0.0, 0.0, 0.0]}
+
+# Instantiate an example
+Example((input0, output0))