Add GTest for ReduceMin op. (#3732)

This patch adds GTest for reduce_min op.
Added files:
```
reduce_min_ex
reduce_min_ex_float_1
reduce_min_ex_float_2
```

Signed-off-by: prasannar <prasanna.r@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 7223dfd..be66695 100644 (file)
--- a/runtimes/tests/neural_networks_test/generated/all_generated_tests.cpp
+++ b/runtimes/tests/neural_networks_test/generated/all_generated_tests.cpp
@@ -3459,6 +3459,48 @@ TEST_F(GeneratedTests, pack_ex_3D_float) {
             pack_ex_3D_float::examples);
 }
 
+namespace reduce_min_ex_float_1 {
+std::vector<MixedTypedExample> examples = {
+// Generated reduce_min_ex_float_1 test
+#include "generated/examples/reduce_min_ex_float_1.example.cpp"
+};
+// Generated model constructor
+#include "generated/models/reduce_min_ex_float_1.model.cpp"
+} // namespace reduce_min_ex_float_1
+TEST_F(GeneratedTests, reduce_min_ex_float_1) {
+    execute(reduce_min_ex_float_1::CreateModel,
+            reduce_min_ex_float_1::is_ignored,
+            reduce_min_ex_float_1::examples);
+}
+
+namespace reduce_min_ex_float_2 {
+std::vector<MixedTypedExample> examples = {
+// Generated reduce_min_ex_float_2 test
+#include "generated/examples/reduce_min_ex_float_2.example.cpp"
+};
+// Generated model constructor
+#include "generated/models/reduce_min_ex_float_2.model.cpp"
+} // namespace reduce_min_ex_float_2
+TEST_F(GeneratedTests, reduce_min_ex_float_2) {
+    execute(reduce_min_ex_float_2::CreateModel,
+            reduce_min_ex_float_2::is_ignored,
+            reduce_min_ex_float_2::examples);
+}
+
+namespace reduce_min_ex {
+std::vector<MixedTypedExample> examples = {
+// Generated reduce_min_ex test
+#include "generated/examples/reduce_min_ex.example.cpp"
+};
+// Generated model constructor
+#include "generated/models/reduce_min_ex.model.cpp"
+} // namespace reduce_min_ex
+TEST_F(GeneratedTests, reduce_min_ex) {
+    execute(reduce_min_ex::CreateModel,
+            reduce_min_ex::is_ignored,
+            reduce_min_ex::examples);
+}
+
 namespace rsqrt_ex_float_1 {
 std::vector<MixedTypedExample> examples = {
 // Generated rsqrt_ex_float_1 test

diff --git a/runtimes/tests/neural_networks_test/generated/examples/reduce_min_ex.example.cpp b/runtimes/tests/neural_networks_test/generated/examples/reduce_min_ex.example.cpp
new file mode 100644 (file)
index 0000000..7cfa485
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/examples/reduce_min_ex.example.cpp
@@ -0,0 +1,22 @@
+// Generated file (from: reduce_min_ex.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, 1.0f, 3.0f, 4.0f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {{0, {1.0f, 3.0f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+}
+}, // End of an example

diff --git a/runtimes/tests/neural_networks_test/generated/examples/reduce_min_ex_float_1.example.cpp b/runtimes/tests/neural_networks_test/generated/examples/reduce_min_ex_float_1.example.cpp
new file mode 100644 (file)
index 0000000..1444590
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/examples/reduce_min_ex_float_1.example.cpp
@@ -0,0 +1,22 @@
+// Generated file (from: reduce_min_ex_float_1.mod.py). Do not edit
+// Begin of an example
+{
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {{0, {23.0f, 24.0f, 13.0f, 22.0f, 5.0f, 18.0f, 7.0f, 8.0f, 9.0f, 15.0f, 11.0f, 12.0f, 3.0f, 14.0f, 10.0f, 16.0f, 17.0f, 6.0f, 19.0f, 20.0f, 21.0f, 4.0f, 1.0f, 2.0f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {{0, {1.0f, 2.0f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+}
+}, // End of an example

diff --git a/runtimes/tests/neural_networks_test/generated/examples/reduce_min_ex_float_2.example.cpp b/runtimes/tests/neural_networks_test/generated/examples/reduce_min_ex_float_2.example.cpp
new file mode 100644 (file)
index 0000000..3757cf4
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/examples/reduce_min_ex_float_2.example.cpp
@@ -0,0 +1,22 @@
+// Generated file (from: reduce_min_ex_float_2.mod.py). Do not edit
+// Begin of an example
+{
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {{0, {20.0f, 2.0f, 22.0f, 4.0f, 24.0f, 18.0f, 7.0f, 8.0f, 19.0f, 10.0f, 14.0f, 12.0f, 13.0f, 11.0f, 15.0f, 16.0f, 17.0f, 6.0f, 9.0f, 1.0f, 21.0f, 3.0f, 23.0f, 5.0f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {{0, {1.0f, 3.0f, 5.0f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+}
+}, // End of an example

diff --git a/runtimes/tests/neural_networks_test/generated/models/reduce_min_ex.model.cpp b/runtimes/tests/neural_networks_test/generated/models/reduce_min_ex.model.cpp
new file mode 100644 (file)
index 0000000..7ed320d
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/reduce_min_ex.model.cpp
@@ -0,0 +1,24 @@
+// Generated file (from: reduce_min_ex.mod.py). Do not edit
+void CreateModel(Model *model) {
+  OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 1});
+  OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
+  OperandType type1(Type::TENSOR_INT32, {1});
+  // Phase 1, operands
+  auto input = model->addOperand(&type0);
+  auto axis = model->addOperand(&type1);
+  auto output = model->addOperand(&type2);
+  // Phase 2, operations
+  static int32_t axis_init[] = {2};
+  model->setOperandValue(axis, axis_init, sizeof(int32_t) * 1);
+  model->addOperationEx(ANEURALNETWORKS_REDUCE_MIN_EX, {input, axis}, {output});
+  // Phase 3, inputs and outputs
+  model->identifyInputsAndOutputs(
+    {input},
+    {output});
+  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/generated/models/reduce_min_ex_float_1.model.cpp b/runtimes/tests/neural_networks_test/generated/models/reduce_min_ex_float_1.model.cpp
new file mode 100644 (file)
index 0000000..9c20a77
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/reduce_min_ex_float_1.model.cpp
@@ -0,0 +1,24 @@
+// Generated file (from: reduce_min_ex_float_1.mod.py). Do not edit
+void CreateModel(Model *model) {
+  OperandType type2(Type::TENSOR_FLOAT32, {2});
+  OperandType type0(Type::TENSOR_FLOAT32, {4, 3, 2});
+  OperandType type1(Type::TENSOR_INT32, {4});
+  // Phase 1, operands
+  auto input = model->addOperand(&type0);
+  auto axis = model->addOperand(&type1);
+  auto output = model->addOperand(&type2);
+  // Phase 2, operations
+  static int32_t axis_init[] = {1, 0, -3, -3};
+  model->setOperandValue(axis, axis_init, sizeof(int32_t) * 4);
+  model->addOperationEx(ANEURALNETWORKS_REDUCE_MIN_EX, {input, axis}, {output});
+  // Phase 3, inputs and outputs
+  model->identifyInputsAndOutputs(
+    {input},
+    {output});
+  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/generated/models/reduce_min_ex_float_2.model.cpp b/runtimes/tests/neural_networks_test/generated/models/reduce_min_ex_float_2.model.cpp
new file mode 100644 (file)
index 0000000..920f74f
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/reduce_min_ex_float_2.model.cpp
@@ -0,0 +1,24 @@
+// Generated file (from: reduce_min_ex_float_2.mod.py). Do not edit
+void CreateModel(Model *model) {
+  OperandType type2(Type::TENSOR_FLOAT32, {1, 3, 1});
+  OperandType type0(Type::TENSOR_FLOAT32, {4, 3, 2});
+  OperandType type1(Type::TENSOR_INT32, {2});
+  // Phase 1, operands
+  auto input = model->addOperand(&type0);
+  auto axis = model->addOperand(&type1);
+  auto output = model->addOperand(&type2);
+  // Phase 2, operations
+  static int32_t axis_init[] = {0, 2};
+  model->setOperandValue(axis, axis_init, sizeof(int32_t) * 2);
+  model->addOperationEx(ANEURALNETWORKS_REDUCE_MIN_EX, {input, axis}, {output});
+  // Phase 3, inputs and outputs
+  model->identifyInputsAndOutputs(
+    {input},
+    {output});
+  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 b/runtimes/tests/neural_networks_test/runtime_run_android_nn_test.skip.armv7l-linux
index 3dd68b8..6cbfe55 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
@@ -18,6 +18,7 @@ GeneratedTests.mean_float_2
 GeneratedTests.mean_quant8_1
 GeneratedTests.mean_quant8_2
 GeneratedTests.mobilenet_quantized
+GeneratedTests.reduce_min_ex*
 GeneratedTests.svdf
 GeneratedTests.svdf2
 GeneratedTests.svdf_state

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 6e8f3fb..7a311f9 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
@@ -79,6 +79,7 @@ GeneratedTests.mul*
 GeneratedTests.neg_ex_1D_float
 GeneratedTests.neg_ex_2D_float
 GeneratedTests.notequal*
+GeneratedTests.reduce_min*
 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 6190c37..e336d16 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
@@ -51,6 +51,7 @@ GeneratedTests.neg_ex_2D_float
 GeneratedTests.notequal*
 GeneratedTests.pad
 GeneratedTests.pad_float_1
+GeneratedTests.reduce_min_ex*
 GeneratedTests.rsqrt_ex_float_1
 GeneratedTests.space_to_batch
 GeneratedTests.space_to_batch_float_1

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 3ea7b66..94eaadf 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
@@ -41,6 +41,7 @@ GeneratedTests.lstm_state
 GeneratedTests.neg_ex_1D_float
 GeneratedTests.neg_ex_2D_float
 GeneratedTests.notequal*
+GeneratedTests.reduce_min_ex*
 GeneratedTests.relu1_float_1
 GeneratedTests.relu1_float_2
 GeneratedTests.relu1_quant8_1

diff --git a/runtimes/tests/neural_networks_test/specs/Ex/reduce_min_ex.mod.py b/runtimes/tests/neural_networks_test/specs/Ex/reduce_min_ex.mod.py
new file mode 100644 (file)
index 0000000..a58c2db
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/Ex/reduce_min_ex.mod.py
@@ -0,0 +1,18 @@
+model = Model()
+i1 = Input("input", "TENSOR_FLOAT32", "{1, 2, 2, 1}")
+axis = Parameter("axis", "TENSOR_INT32", "{1}", [2])
+output = Output("output", "TENSOR_FLOAT32", "{1, 2, 1}")
+
+model = model.Operation("REDUCE_MIN_EX", i1, axis).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [2.0, 1.0,
+           3.0, 4.0]}
+
+output0 = {output: # output 0
+          [1.0,
+           3.0]}
+
+# Instantiate an example
+Example((input0, output0))

diff --git a/runtimes/tests/neural_networks_test/specs/Ex/reduce_min_ex_float_1.mod.py b/runtimes/tests/neural_networks_test/specs/Ex/reduce_min_ex_float_1.mod.py
new file mode 100644 (file)
index 0000000..50b23bb
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/Ex/reduce_min_ex_float_1.mod.py
@@ -0,0 +1,17 @@
+model = Model()
+i1 = Input("input", "TENSOR_FLOAT32", "{4, 3, 2}")
+axis = Parameter("axis", "TENSOR_INT32", "{4}", [1, 0, -3, -3])
+output = Output("output", "TENSOR_FLOAT32", "{2}")
+
+model = model.Operation("REDUCE_MIN_EX", i1, axis).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [23.0,  24.0,  13.0,  22.0,  5.0,  18.0,  7.0,  8.0,  9.0,  15.0, 11.0, 12.0,
+           3.0, 14.0, 10.0, 16.0, 17.0, 6.0, 19.0, 20.0, 21.0, 4.0, 1.0, 2.0]}
+
+output0 = {output: # output 0
+          [1.0, 2.0]}
+
+# Instantiate an example
+Example((input0, output0))

diff --git a/runtimes/tests/neural_networks_test/specs/Ex/reduce_min_ex_float_2.mod.py b/runtimes/tests/neural_networks_test/specs/Ex/reduce_min_ex_float_2.mod.py
new file mode 100644 (file)
index 0000000..087ce63
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/Ex/reduce_min_ex_float_2.mod.py
@@ -0,0 +1,17 @@
+model = Model()
+i1 = Input("input", "TENSOR_FLOAT32", "{4, 3, 2}")
+axis = Parameter("axis", "TENSOR_INT32", "{2}", [0, 2])
+output = Output("output", "TENSOR_FLOAT32", "{1, 3, 1}")
+
+model = model.Operation("REDUCE_MIN_EX", i1, axis).To(output)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [20.0,  2.0,  22.0,  4.0,  24.0,  18.0,  7.0,  8.0,  19.0,  10.0, 14.0, 12.0,
+           13.0, 11.0, 15.0, 16.0, 17.0, 6.0, 9.0, 1.0, 21.0, 3.0, 23.0, 5.0]}
+
+output0 = {output: # output 0
+          [1.0, 3.0, 5.0]}
+
+# Instantiate an example
+Example((input0, output0))