1# model 2model = Model() 3sparseData = Input("sparseData", "TENSOR_BOOL8", "{16}") 4traversalOrder = Parameter("traversalOrder", "TENSOR_INT32", "{4}", [0, 1, 2, 3]) 5blockMap = Parameter("blockMap", "TENSOR_INT32", "{2}", [0, 1]) 6dimFormat = Parameter("dimFormat", "TENSOR_INT32", "{4}", [0, 0, 0, 0]) 7dimensions = Parameter("dimensions", "TENSOR_INT32", "{4}", [2, 2, 2, 2]) 8d0ArrSegments = Parameter("d0ArrSegments", "TENSOR_INT32", "{0}", []) 9d0ArrIndices = Parameter("d0ArrIndices", "TENSOR_INT32", "{0}", []) 10d1ArrSegments = Parameter("d1ArrSegments", "TENSOR_INT32", "{0}", []) 11d1ArrIndices = Parameter("d1ArrIndices", "TENSOR_INT32", "{0}", []) 12d2ArrSegments = Parameter("d2ArrSegments", "TENSOR_INT32", "{0}", []) 13d2ArrIndices = Parameter("d2ArrIndices", "TENSOR_INT32", "{0}", []) 14d3ArrSegments = Parameter("d3ArrSegments", "TENSOR_INT32", "{0}", []) 15d3ArrIndices = Parameter("d3ArrIndices", "TENSOR_INT32", "{0}", []) 16denseOut = Output("denseOut", "TENSOR_BOOL8", "{4, 4}") 17model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap, 18 dimFormat, dimensions, d0ArrSegments, d0ArrIndices, d1ArrSegments, 19 d1ArrIndices, d2ArrSegments, d2ArrIndices, d3ArrSegments, 20 d3ArrIndices).To(denseOut) 21 22# Example 1. Input in operand 0, 23input0 = {sparseData: # input 0 24 [1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1]} 25 26output0 = {denseOut: # output 0 27 [1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1]} 28 29# Instantiate an example 30Example((input0, output0)) 31