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Diffstat (limited to 'runtimes/tests/neural_networks_test/specs/V1_1/mean_axis01_2_nnfw.mod.py')
-rw-r--r-- | runtimes/tests/neural_networks_test/specs/V1_1/mean_axis01_2_nnfw.mod.py | 17 |
1 files changed, 17 insertions, 0 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/mean_axis01_2_nnfw.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/mean_axis01_2_nnfw.mod.py new file mode 100644 index 000000000..1f0eb9c00 --- /dev/null +++ b/runtimes/tests/neural_networks_test/specs/V1_1/mean_axis01_2_nnfw.mod.py @@ -0,0 +1,17 @@ +model = Model() +i1 = Input("input", "TENSOR_FLOAT32", "{1, 4, 3, 2}") +axis = Parameter("axis", "TENSOR_INT32", "{4}", [1, 2, -3, -3]) +keepDims = Int32Scalar("keepDims", 1) +output = Output("output", "TENSOR_FLOAT32", "{1, 1, 1, 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)) |