1 model = Model() 2 i1 = Input("input", "TENSOR_FLOAT32", "{1, 5, 2, 1}") 3 block = Parameter("block_size", "TENSOR_INT32", "{2}", [3, 2]) 4 paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [1, 0, 2, 0]) 5 output = Output("output", "TENSOR_FLOAT32", "{6, 2, 2, 1}") 6 7 model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).To(output) 8 9 # Example 1. Input in operand 0, 10 input0 = {i1: # input 0 11 [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]} 12 13 output0 = {output: # output 0 14 [0, 0, 0, 5, 0, 0, 0, 6, 0, 1, 0, 7, 15 0, 2, 0, 8, 0, 3, 0, 9, 0, 4, 0, 10]} 16 17 # Instantiate an example 18 Example((input0, output0)) 19
