Imported Upstream version 0.2upstream/0.2submit/tizen/20180918.075952

1 files changed, 18 insertions, 0 deletions

diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/mean_float_1.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/mean_float_1.mod.py
new file mode 100644
index 000000000..5fde65d40
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/V1_1/mean_float_1.mod.py
@@ -0,0 +1,18 @@
+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))