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path: root/runtimes/tests/neural_networks_test/specs/V1_1/batch_to_space_float_1.mod.py
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model = Model()
i1 = Input("input", "TENSOR_FLOAT32", "{4, 2, 2, 1}")
block = Parameter("block_size", "TENSOR_INT32", "{2}", [2, 2])
output = Output("output", "TENSOR_FLOAT32", "{1, 4, 4, 1}")

model = model.Operation("BATCH_TO_SPACE_ND", i1, block).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]}

output0 = {output: # output 0
           [1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16]}

# Instantiate an example
Example((input0, output0))