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diff --git a/tests/nnapi/specs/skip/V1_2/batch_to_space_v1_2.mod.py b/tests/nnapi/specs/skip/V1_2/batch_to_space_v1_2.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.
+#
+
+layout = BoolScalar("layout", False) # NHWC
+
+# TEST 1: BATCH_TO_SPACE_NCHW_1, block_size = [2, 2]
+i1 = Input("op1", "TENSOR_FLOAT32", "{4, 1, 1, 2}")
+o1 = Output("op4", "TENSOR_FLOAT32", "{1, 2, 2, 2}")
+Model().Operation("BATCH_TO_SPACE_ND", i1, [2, 2], layout).To(o1)
+
+# Additional data type
+quant8 = DataTypeConverter().Identify({
+ i1: ("TENSOR_QUANT8_ASYMM", 0.1, 0),
+ o1: ("TENSOR_QUANT8_ASYMM", 0.1, 0)
+})
+
+# Instantiate an example
+example = Example({
+ i1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1],
+ o1: [1.4, 2.3, 3.2, 4.1, 5.4, 6.3, 7.2, 8.1]
+}).AddNchw(i1, o1, layout).AddVariations("relaxed", "float16", quant8)
+
+
+# TEST 2: BATCH_TO_SPACE_NCHW_2, block_size = [2, 2]
+i2 = Input("op1", "TENSOR_FLOAT32", "{4, 2, 2, 1}")
+o2 = Output("op4", "TENSOR_FLOAT32", "{1, 4, 4, 1}")
+Model().Operation("BATCH_TO_SPACE_ND", i2, [2, 2], layout).To(o2)
+
+# Additional data type
+quant8 = DataTypeConverter().Identify({
+ i2: ("TENSOR_QUANT8_ASYMM", 0.5, 128),
+ o2: ("TENSOR_QUANT8_ASYMM", 0.5, 128)
+})
+
+# Instantiate an example
+example = Example({
+ i2: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16],
+ o2: [1, 5, 2, 6, 9, 13, 10, 14, 3, 7, 4, 8, 11, 15, 12, 16]
+}).AddNchw(i2, o2, layout).AddVariations("relaxed", "float16", quant8)