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authorChunseok Lee <chunseok.lee@samsung.com>2019-01-08 17:36:34 +0900
committerChunseok Lee <chunseok.lee@samsung.com>2019-01-08 17:36:34 +0900
commitbd11b24234d7d43dfe05a81c520aa01ffad06e42 (patch)
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parent91f4ba45449f700a047a4aeea00b1a7c84e94c75 (diff)
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Imported Upstream version 0.3upstream/0.3
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diff --git a/tests/nnapi/specs/V1_1/mean.mod.py b/tests/nnapi/specs/V1_1/mean.mod.py
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+++ b/tests/nnapi/specs/V1_1/mean.mod.py
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+model = Model()
+i1 = Input("input", "TENSOR_FLOAT32", "{1, 2, 2, 1}")
+axis = Parameter("axis", "TENSOR_INT32", "{1}", [2])
+keepDims = Int32Scalar("keepDims", 0)
+output = Output("output", "TENSOR_FLOAT32", "{1, 2, 1}")
+
+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]}
+
+output0 = {output: # output 0
+ [1.5,
+ 3.5]}
+
+# Instantiate an example
+Example((input0, output0))