summaryrefslogtreecommitdiff
path: root/runtimes/tests/neural_networks_test/specs/V1_1/mean_float_1.mod.py
blob: 5fde65d40919837a79c04ccea0b60876c5fc90b7 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
model = Model()
i1 = Input("input", "TENSOR_FLOAT32", "{4, 3, 2}")
axis = Parameter("axis", "TENSOR_INT32", "{4}", [1, 0, -3, -3])
keepDims = Int32Scalar("keepDims", 0)
output = Output("output", "TENSOR_FLOAT32", "{2}")

model = model.Operation("MEAN", i1, axis, keepDims).To(output)

# Example 1. Input in operand 0,
input0 = {i1: # input 0
          [1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0,  10.0, 11.0, 12.0,
           13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0]}

output0 = {output: # output 0
          [12.0, 13.0]}

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