Add gtest to test quant8 datatype for NotEqual Op (#3757)

This patch will add gtest to test quant8 datatype for NotEqual Op

Signed-off-by: shubham <shub98.gupta@samsung.com>

diff --git a/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-linux b/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-linux
index 056ed4c..f4203b6 100644 (file)
--- a/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-linux
+++ b/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-linux
@@ -11,6 +11,7 @@ GeneratedTests.lstm3_state2
 GeneratedTests.lstm3_state3
 GeneratedTests.lstm_state
 GeneratedTests.lstm_state2
+GeneratedTests.notequal*
 GeneratedTests.prelu_ex*
 GeneratedTests.svdf
 GeneratedTests.svdf2

diff --git a/runtimes/tests/neural_networks_test/specs/Ex/notequal_ex_quant8.mod.py b/runtimes/tests/neural_networks_test/specs/Ex/notequal_ex_quant8.mod.py
new file mode 100644 (file)
index 0000000..d5115a6
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/Ex/notequal_ex_quant8.mod.py
@@ -0,0 +1,18 @@
+# model
+model = Model()
+i1 = Input("op1", "TENSOR_QUANT8_ASYMM", "{3}, 1.f, 0") # a vector of input
+i2 = Input("op2", "TENSOR_QUANT8_ASYMM", "{3}, 1.f, 0") # a vector of input
+i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{3}, 1.f, 0") # a vector of output
+model = model.Operation("NOT_EQUAL_EX", i1, i2).To(i3)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [2, 3, 0],
+          i2: # input 1
+          [2, 9, 0]}
+
+output0 = {i3: # output 0
+           [0, 255, 0]}
+
+# Instantiate an example
+Example((input0, output0))