1# model
2model = Model()
3sparseData = Input("sparseData", "TENSOR_FLOAT32", "{210}")
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, 3, 5, 7])
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_FLOAT32", "{10, 21}")
17model = model.Operation("DENSIFY", sparseData, traversalOrder, blockMap,
18                        dimFormat, dimensions, d0ArrSegments, d0ArrIndices, d1ArrSegments,
19                        d1ArrIndices, d2ArrSegments, d2ArrIndices, d3ArrSegments,
20                        d3ArrIndices).To(denseOut)
21
22inputData = [0.0] * 210
23inputData[0:22:7] = [11.0, 13.0, 17.0, 19.0]
24# Example 1. Input in operand 0,
25input0 = {sparseData: # input 0
26          inputData}
27
28outputData = [0.0] * 210
29outputData[0:64:21] = [11.0, 13.0, 17.0, 19.0]
30output0 = {denseOut: # output 0
31           outputData}
32
33quant8_symm = DataTypeConverter().Identify({
34    sparseData: ("TENSOR_QUANT8_SYMM", 2.0),
35    denseOut: ("TENSOR_QUANT8_SYMM", 2.0)
36})
37
38quant8_asymm = DataTypeConverter().Identify({
39    sparseData: ("TENSOR_QUANT8_ASYMM", 0.5, 4),
40    denseOut: ("TENSOR_QUANT8_ASYMM", 0.5, 4)
41})
42
43quant8_asymm_signed = DataTypeConverter().Identify({
44    sparseData: ("TENSOR_QUANT8_ASYMM_SIGNED", 2.5, -9),
45    denseOut: ("TENSOR_QUANT8_ASYMM_SIGNED", 2.5, -9)
46})
47
48quant16_symm = DataTypeConverter().Identify({
49    sparseData: ("TENSOR_QUANT16_SYMM", 3.0),
50    denseOut: ("TENSOR_QUANT16_SYMM", 3.0)
51})
52
53quant16_asymm = DataTypeConverter().Identify({
54    sparseData: ("TENSOR_QUANT16_ASYMM", 2.0, 4),
55    denseOut: ("TENSOR_QUANT16_ASYMM", 2.0, 4)
56})
57
58# Instantiate an example
59Example((input0, output0)).AddVariations("relaxed", "float16", "int32", quant8_symm,
60                                        quant8_asymm, quant8_asymm_signed, quant16_symm,
61                                        quant16_asymm)
62