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diff --git a/tests/nnapi/specs/skip/V1_1/strided_slice_float_7_relaxed.mod.py b/tests/nnapi/specs/skip/V1_1/strided_slice_float_7_relaxed.mod.py
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+++ b/tests/nnapi/specs/skip/V1_1/strided_slice_float_7_relaxed.mod.py
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+#
+# 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("input", "TENSOR_FLOAT32", "{3}")
+begins = Parameter("begins", "TENSOR_INT32", "{1}", [-1])
+ends = Parameter("ends", "TENSOR_INT32", "{1}", [-4])
+strides = Parameter("strides", "TENSOR_INT32", "{1}", [-1])
+beginMask = Int32Scalar("beginMask", 0)
+endMask = Int32Scalar("endMask", 0)
+shrinkAxisMask = Int32Scalar("shrinkAxisMask", 0)
+
+output = Output("output", "TENSOR_FLOAT32", "{3}")
+
+model = model.Operation("STRIDED_SLICE", i1, begins, ends, strides, beginMask, endMask, shrinkAxisMask).To(output)
+model = model.RelaxedExecution(True)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [1, 2, 3]}
+
+output0 = {output: # output 0
+ [3, 2, 1]}
+
+# Instantiate an example
+Example((input0, output0))