1 files changed, 90 insertions, 0 deletions
diff --git a/nn/runtime/test/specs/V1_3/tile_quant8_signed.mod.py b/nn/runtime/test/specs/V1_3/tile_quant8_signed.mod.py
new file mode 100644
index 000000000..6349ee5e0
--- /dev/null
+++ b/nn/runtime/test/specs/V1_3/tile_quant8_signed.mod.py
@@ -0,0 +1,90 @@
+#
+# 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.
+#
+
+input0 = Input("input0", "TENSOR_FLOAT32", "{3}")
+multipliers = Input("multipliers", "TENSOR_INT32", "{1}")
+output0 = Output("output0", "TENSOR_FLOAT32", "{6}")
+
+model = Model().Operation("TILE", input0, multipliers).To(output0)
+
+input_values = [1.2, -3.4, 5.6]
+multiplier_values = [2]
+output_values = input_values + input_values
+
+quant8_signed = DataTypeConverter().Identify({
+    input0: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
+    output0: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
+})
+
+Example({
+    input0: input_values,
+    multipliers: multiplier_values,
+    output0: output_values,
+}).AddVariations(quant8_signed, includeDefault=False)
+
+#######################################################
+
+input0 = Input("input0", "TENSOR_FLOAT32", "{2, 3}")
+multipliers = Input("multipliers", "TENSOR_INT32", "{2}")
+output0 = Output("output0", "TENSOR_FLOAT32", "{4, 3}")
+
+model = Model().Operation("TILE", input0, multipliers).To(output0)
+
+input_values = [11, 12, 13,
+                21, 22, 23]
+multiplier_values = [2, 1]
+output_values = [11, 12, 13,
+                 21, 22, 23,
+                 11, 12, 13,
+                 21, 22, 23]
+
+quant8_signed = DataTypeConverter().Identify({
+    input0: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
+    output0: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
+})
+
+Example({
+    input0: input_values,
+    multipliers: multiplier_values,
+    output0: output_values,
+}).AddVariations(quant8_signed, includeDefault=False)
+
+#######################################################
+
+input0 = Input("input0", "TENSOR_FLOAT32", "{1, 2, 3}")
+multipliers = Input("multipliers", "TENSOR_INT32", "{3}")
+output0 = Output("output0", "TENSOR_FLOAT32", "{2, 6, 3}")
+
+model = Model().Operation("TILE", input0, multipliers).To(output0)
+
+input_values = [11, 12, 13,
+                21, 22, 23]
+multiplier_values = [2, 3, 1]
+output_values = [11, 12, 13, 21, 22, 23, 11, 12, 13,
+                 21, 22, 23, 11, 12, 13, 21, 22, 23,
+                 11, 12, 13, 21, 22, 23, 11, 12, 13,
+                 21, 22, 23, 11, 12, 13, 21, 22, 23]
+
+quant8_signed = DataTypeConverter().Identify({
+    input0: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
+    output0: ["TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -1],
+})
+
+Example({
+    input0: input_values,
+    multipliers: multiplier_values,
+    output0: output_values,
+}).AddVariations(quant8_signed, includeDefault=False)