Adding testcases for NotEqual Op (#3516)

This commit adds Gtest testcases for NotEqual op.
Related issues: #3335,#3337

Signed-off-by: Siva Sai <siva.sai@samsung.com>

diff --git a/runtimes/tests/neural_networks_test/generated/all_generated_tests.cpp b/runtimes/tests/neural_networks_test/generated/all_generated_tests.cpp
index ae60402..c0a2780 100644 (file)
--- a/runtimes/tests/neural_networks_test/generated/all_generated_tests.cpp
+++ b/runtimes/tests/neural_networks_test/generated/all_generated_tests.cpp
@@ -3165,6 +3165,20 @@ TEST_F(GeneratedTests, neg_ex_2D_float) {
             neg_ex_2D_float::examples);
 }
 
+namespace notequal_ex_float {
+std::vector<MixedTypedExample> examples = {
+// Generated notequal_ex_float test
+#include "generated/examples/notequal_ex_float.example.cpp"
+};
+// Generated model constructor
+#include "generated/models/notequal_ex_float.model.cpp"
+} // namespace notequal_ex_float
+TEST_F(GeneratedTests, notequal_ex_float) {
+    execute(notequal_ex_float::CreateModel,
+            notequal_ex_float::is_ignored,
+            notequal_ex_float::examples);
+}
+
 namespace squared_difference_ex_1D_float {
 std::vector<MixedTypedExample> examples = {
 // Generated squared_difference_ex_1D_float test

diff --git a/runtimes/tests/neural_networks_test/generated/examples/notequal_ex_float.example.cpp b/runtimes/tests/neural_networks_test/generated/examples/notequal_ex_float.example.cpp
new file mode 100644 (file)
index 0000000..f231b17
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/examples/notequal_ex_float.example.cpp
@@ -0,0 +1,22 @@
+// Generated file (from: notequal_ex_1D_float.mod.py). Do not edit
+// Begin of an example
+{
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {{0, {2.0f, 3.254232f, 5.1232f}}, {1, {2.0f, 3.254111f, 5.1232f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {{0, {0, 1, 0}}}
+}
+}, // End of an example

diff --git a/runtimes/tests/neural_networks_test/generated/models/notequal_ex_float.model.cpp b/runtimes/tests/neural_networks_test/generated/models/notequal_ex_float.model.cpp
new file mode 100644 (file)
index 0000000..b47a53e
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/notequal_ex_float.model.cpp
@@ -0,0 +1,21 @@
+// Generated file (from: equal_ex_1D_float.mod.py). Do not edit
+void CreateModel(Model *model) {
+  OperandType type0(Type::TENSOR_FLOAT32, {3});
+  OperandType type1(Type::TENSOR_QUANT8_ASYMM, {3}, 1.f, 0);
+  // Phase 1, operands
+  auto op1 = model->addOperand(&type0);
+  auto op2 = model->addOperand(&type0);
+  auto op3 = model->addOperand(&type1);
+  // Phase 2, operations
+  model->addOperationEx(ANEURALNETWORKS_EQUAL_EX, {op1, op2}, {op3});
+  // Phase 3, inputs and outputs
+  model->identifyInputsAndOutputs(
+    {op1, op2},
+    {op3});
+  assert(model->isValid());
+}
+
+bool is_ignored(int i) {
+  static std::set<int> ignore = {};
+  return ignore.find(i) != ignore.end();
+}

diff --git a/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-linux.neurun b/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-linux.neurun
index eb89d41..1e2a061 100644 (file)
--- a/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-linux.neurun
+++ b/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-linux.neurun
@@ -76,6 +76,7 @@ GeneratedTests.mobilenet*
 GeneratedTests.mul*
 GeneratedTests.neg_ex_1D_float
 GeneratedTests.neg_ex_2D_float
+GeneratedTests.notequal*
 GeneratedTests.relu1*
 GeneratedTests.relu6*
 GeneratedTests.relu*

diff --git a/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-tizen b/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-tizen
index eb59083..efe1b7c 100644 (file)
--- a/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-tizen
+++ b/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-tizen
@@ -47,6 +47,7 @@ GeneratedTests.mean_quant8_2
 GeneratedTests.mobilenet_quantized
 GeneratedTests.neg_ex_1D_float
 GeneratedTests.neg_ex_2D_float
+GeneratedTests.notequal*
 GeneratedTests.pad
 GeneratedTests.pad_float_1
 GeneratedTests.space_to_batch

diff --git a/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.x86_64-linux b/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.x86_64-linux
index 68ec117..1cabb41 100644 (file)
--- a/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.x86_64-linux
+++ b/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.x86_64-linux
@@ -39,6 +39,7 @@ GeneratedTests.lstm_state2
 GeneratedTests.lstm_state
 GeneratedTests.neg_ex_1D_float
 GeneratedTests.neg_ex_2D_float
+GeneratedTests.notequal*
 GeneratedTests.relu1_float_1
 GeneratedTests.relu1_float_2
 GeneratedTests.relu1_quant8_1

diff --git a/runtimes/tests/neural_networks_test/specs/Ex/notequal_ex_1D_float.mod.py b/runtimes/tests/neural_networks_test/specs/Ex/notequal_ex_1D_float.mod.py
new file mode 100644 (file)
index 0000000..ad0fe42
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/Ex/notequal_ex_1D_float.mod.py
@@ -0,0 +1,18 @@
+# model
+model = Model()
+i1 = Input("op1", "TENSOR_FLOAT32", "{3}") # a vector of input
+i2 = Input("op2", "TENSOR_FLOAT32", "{3}") # a vector of input
+i3 = Output("op3", "TENSOR_QUANT8_ASYMM", "{3}, 1.f, 0") # a vector of output
+model = model.Operation("EQUAL_EX", i1, i2).To(i3)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [2.0, 3.254232, 5.1232],
+          i2: # input 1
+          [2.0, 3.254111, 5.1232]}
+
+output0 = {i3: # output 0
+           [0, 1, 0]}
+
+# Instantiate an example
+Example((input0, output0))