1 files changed, 60 insertions, 0 deletions
diff --git a/nn/runtime/test/specs/V1_3/prelu_quant8_signed.mod.py b/nn/runtime/test/specs/V1_3/prelu_quant8_signed.mod.py
new file mode 100644
index 000000000..f603e192d
--- /dev/null
+++ b/nn/runtime/test/specs/V1_3/prelu_quant8_signed.mod.py
@@ -0,0 +1,60 @@
+#
+# 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.
+#
+
+i1 = Input("input", "TENSOR_FLOAT32", "{1, 2, 2, 3}")
+a1 = Parameter("alpha", "TENSOR_FLOAT32", "{1, 1, 3}", [0, 1, 2])
+o1 = Output("output", "TENSOR_FLOAT32", "{1, 2, 2, 3}")
+Model().Operation("PRELU", i1, a1).To(o1)
+
+# output.scale > input.scale && output.scale > input.scale * alpha.scale
+quant8_signed_gt = DataTypeConverter().Identify({
+    i1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, 0),
+    a1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, -78),
+    o1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -8)
+})
+
+# output.scale == input.scale
+quant8_signed_eq1 = DataTypeConverter().Identify({
+    i1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, 0),
+    a1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, -78),
+    o1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, -8)
+})
+
+# output.scale == input.scale * alpha.scale
+quant8_signed_eq2 = DataTypeConverter().Identify({
+    i1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, 0),
+    a1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -78),
+    o1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.125, -8)
+})
+
+# output.scale < input.scale && output.scale < input.scale * alpha.scale
+quant8_signed_lt = DataTypeConverter().Identify({
+    i1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.25, 0),
+    a1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.5, -78),
+    o1: ("TENSOR_QUANT8_ASYMM_SIGNED", 0.1, -8)
+})
+
+# Instantiate an example
+Example({
+    i1: [ 0,  0,  0,
+          1,  1,  1,
+         -1, -1, -1,
+         -2, -2, -2],
+    o1: [ 0,  0,  0,
+          1,  1,  1,
+          0, -1, -2,
+          0, -2, -4]
+}).AddVariations(quant8_signed_gt, quant8_signed_eq1, quant8_signed_eq2, quant8_signed_lt, includeDefault=False)