1 files changed, 48 insertions, 0 deletions
diff --git a/nn/runtime/test/specs/V1_3_cts_only/if_simple_unknown_rank.mod.py b/nn/runtime/test/specs/V1_3_cts_only/if_simple_unknown_rank.mod.py
new file mode 100644
index 000000000..9ef405d18
--- /dev/null
+++ b/nn/runtime/test/specs/V1_3_cts_only/if_simple_unknown_rank.mod.py
@@ -0,0 +1,48 @@
+#
+# Copyright (C) 2020 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: z = if (x) then (y + 10) else (y - 10)
+
+input_data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
+output_add = [y + 10 for y in input_data]
+output_sub = [y - 10 for y in input_data]
+
+ValueType = ["TENSOR_FLOAT32", []]  # Unknown rank.
+ValueTypeKnownShape = ["TENSOR_FLOAT32", [3, 4]]
+BoolType = ["TENSOR_BOOL8", [1]]
+
+def MakeBranchModel(operation_name):
+  y = Input("y", ValueType)
+  z = Output("z", ValueType)
+  return Model().Operation(operation_name, y, [10.0], 0).To(z)
+
+def Test(x_data, y_data, z_data, name):
+  x = Input("x", BoolType)
+  y = Input("y", ValueTypeKnownShape)
+  z = Output("z", ValueTypeKnownShape)
+  then_model = MakeBranchModel("ADD")
+  else_model = MakeBranchModel("SUB")
+  model = Model().Operation("IF", x, then_model, else_model, y).To(z)
+
+  quant8 = DataTypeConverter("quant8", scale=1.0, zeroPoint=100)
+  quant8_signed = DataTypeConverter("quant8_signed", scale=1.0, zeroPoint=100)
+
+  example = Example({x: [x_data], y: y_data, z: z_data}, name=name)
+  example.AddVariations("relaxed", "float16", "int32", quant8, quant8_signed)
+  example.AddVariations(AllOutputsAsInternalCoverter())
+
+Test(x_data=True, y_data=input_data, z_data=output_add, name="true")
+Test(x_data=False, y_data=input_data, z_data=output_sub, name="false")