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+#
+# Copyright (C) 2019 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.
+#
+
+# Based on strided_slice_float_11.mod.py.
+
+# This test makes sure that executing STRIDED_SLICE results in a failure when
+# the deduced output dimension is not one and shrinkAxisMask is set.
+# See http://b/79856511#comment2.
+i1 = Input("input", "TENSOR_FLOAT32", "{2, 3}")
+output = Output("output", "TENSOR_FLOAT32", "{3}")
+Model("output_dims").Operation("STRIDED_SLICE", i1, [0, 0], [2, 3], [1, 1], 0, 0, 1).To(output)
+Example({
+ i1: [1, 2, 3, 4, 5, 6],
+ output: [1, 2, 3],
+}).ExpectFailure()
+
+
+# This test makes sure that executing STRIDED_SLICE results in a failure when
+# the stride is negative and shrinkAxisMask is set.
+# See http://b/154639297#comment11.
+i1 = Input("input", "TENSOR_FLOAT32", "{2, 3}")
+output = Output("output", "TENSOR_FLOAT32", "{3}")
+Model("neg_stride").Operation("STRIDED_SLICE", i1, [1, 0], [0, 3], [-1, 1], 0, 0, 1).To(output)
+Example({
+ i1: [1, 2, 3, 4, 5, 6],
+ output: [4, 5, 6],
+}).ExpectFailure()