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-rw-r--r--runtimes/tests/neural_networks_test/specs/V1_0/l2_normalization_2.mod.py32
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diff --git a/runtimes/tests/neural_networks_test/specs/V1_0/l2_normalization_2.mod.py b/runtimes/tests/neural_networks_test/specs/V1_0/l2_normalization_2.mod.py
deleted file mode 100644
index 36feba073..000000000
--- a/runtimes/tests/neural_networks_test/specs/V1_0/l2_normalization_2.mod.py
+++ /dev/null
@@ -1,32 +0,0 @@
-#
-# Copyright (C) 2018 The Android Open Source Project
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-model = Model()
-i1 = Input("op1", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-i2 = Output("op2", "TENSOR_FLOAT32", "{1, 1, 1, 6}")
-
-# Color wize (channel-wise) normalization
-model = model.Operation("L2_NORMALIZATION", i1).To(i2)
-
-# Example 1. Input in operand 0,
-input0 = {i1:
- [-1.1, 0.6, 0.7, 1.2, -0.7, 0.1]}
-
-output0 = {i2: # output 0
- [-0.55, 0.3, 0.35, 0.6, -0.35, 0.05]}
-
-# Instantiate an example
-Example((input0, output0))