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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_1/mean_axis01_1_nnfw.mod.py18
1 files changed, 0 insertions, 18 deletions
diff --git a/runtimes/tests/neural_networks_test/specs/V1_1/mean_axis01_1_nnfw.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/mean_axis01_1_nnfw.mod.py
deleted file mode 100644
index 00b63a59c..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_1/mean_axis01_1_nnfw.mod.py
+++ /dev/null
@@ -1,18 +0,0 @@
-model = Model()
-i1 = Input("input", "TENSOR_FLOAT32", "{1, 4, 3, 2}")
-axis = Parameter("axis", "TENSOR_INT32", "{2}", [1, 2])
-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, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0,
- 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]}
-
-output0 = {output: # output 0
- [1.0, 1.0]}
-
-# Instantiate an example
-Example((input0, output0))