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path: root/runtimes/tests/neural_networks_test/specs/V1_1/space_to_batch.mod.py
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model = Model()
i1 = Input("input", "TENSOR_FLOAT32", "{1, 2, 2, 2}")
block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2])
paddings = Parameter("paddings", "TENSOR_INT32", "{2, 2}", [0, 0, 0, 0])
output = Output("output", "TENSOR_FLOAT32", "{4, 1, 1, 2}")

model = model.Operation("SPACE_TO_BATCH_ND", i1, block, paddings).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))