Add larger unit test for RELU op for quant8.
Bug: 63905942
Test: NeuralNetworksTest on Angler
Change-Id: I375b332962341a664cdfb653a6b42cdeed9cef2f
diff --git a/runtime/test/specs/relu_quant8.mod.py b/runtime/test/specs/relu_quant8.mod.py
deleted file mode 100644
index 05337b6..0000000
--- a/runtime/test/specs/relu_quant8.mod.py
+++ /dev/null
@@ -1,25 +0,0 @@
-# model
-model = Model()
-# input 0
-i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 128")
-# output 0
-o = Output("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 128")
-model = model.Operation("RELU", i1).To(o)
-
-# Example 1. Input in operand 0,
-input0 = {i1: # input 0
- [0, 1, 126, 127]}
-output0 = {o: # output 0
- [128, 128, 128, 128]}
-
-# Instantiate an example
-Example((input0, output0))
-
-# Example 2. Input in operand 0,
-input1 = {i1: # input 0
- [128, 129, 254, 255]}
-output1 = {o: # output 0
- [128, 129, 254, 255]}
-
-# Instantiate another example
-Example((input1, output1))
diff --git a/runtime/test/specs/relu_quant8_1.mod.py b/runtime/test/specs/relu_quant8_1.mod.py
new file mode 100644
index 0000000..acaf87d
--- /dev/null
+++ b/runtime/test/specs/relu_quant8_1.mod.py
@@ -0,0 +1,41 @@
+#
+# Copyright (C) 2017 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
+model = Model()
+# input 0
+i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 128")
+# output 0
+o = Output("op2", "TENSOR_QUANT8_ASYMM", "{1, 2, 2, 1}, 1.f, 128")
+model = model.Operation("RELU", i1).To(o)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+ [0, 1, 126, 127]}
+output0 = {o: # output 0
+ [128, 128, 128, 128]}
+
+# Instantiate an example
+Example((input0, output0))
+
+# Example 2. Input in operand 0,
+input1 = {i1: # input 0
+ [128, 129, 254, 255]}
+output1 = {o: # output 0
+ [128, 129, 254, 255]}
+
+# Instantiate another example
+Example((input1, output1))
diff --git a/runtime/test/specs/relu_quant8_2.mod.py b/runtime/test/specs/relu_quant8_2.mod.py
new file mode 100644
index 0000000..d4fa2cd
--- /dev/null
+++ b/runtime/test/specs/relu_quant8_2.mod.py
@@ -0,0 +1,39 @@
+#
+# Copyright (C) 2017 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
+model = Model()
+
+d0 = 2
+d1 = 256
+d2 = 256
+d3 = 2
+
+i0 = Input("input", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 1.f, 128" % (d0, d1, d2, d3))
+
+output = Output("output", "TENSOR_QUANT8_ASYMM", "{%d, %d, %d, %d}, 1.f, 128" % (d0, d1, d2, d3))
+
+model = model.Operation("RELU", i0).To(output)
+
+# Example 1. Input in operand 0,
+rng = d0 * d1 * d2 * d3
+input_values = (lambda r = rng: [x % 256 for x in range(r)])()
+input0 = {i0: input_values}
+output_values = (lambda r = rng: [x % 256 if x % 256 > 128 else 128 for x in range(r)])()
+output0 = {output: output_values}
+
+# Instantiate an example
+Example((input0, output0))
