Add Generated Test for Testing broadcast DIV (#3296)

This patch adds a generated test for testing broadcast DIV.
This consist of testing broadcast div with tensors of shape 4D & 2D.
Added GTest : div_broadcast_float_4D_2D_nnfw

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 b20274d..6b21683 100644 (file)
--- a/runtimes/tests/neural_networks_test/generated/all_generated_tests.cpp
+++ b/runtimes/tests/neural_networks_test/generated/all_generated_tests.cpp
@@ -2199,6 +2199,20 @@ TEST_F(GeneratedTests, batch_to_space_quant8_1) {
             batch_to_space_quant8_1::examples);
 }
 
+namespace div_broadcast_float_4D_2D_nnfw {
+std::vector<MixedTypedExample> examples = {
+// Generated div_broadcast_float_4D_2D_nnfw test
+#include "generated/examples/div_broadcast_float_4D_2D_nnfw.example.cpp"
+};
+// Generated model constructor
+#include "generated/models/div_broadcast_float_4D_2D_nnfw.model.cpp"
+} // namespace div_broadcast_float_4D_2D_nnfw
+TEST_F(GeneratedTests, div_broadcast_float_4D_2D_nnfw) {
+    execute(div_broadcast_float_4D_2D_nnfw::CreateModel,
+            div_broadcast_float_4D_2D_nnfw::is_ignored,
+            div_broadcast_float_4D_2D_nnfw::examples);
+}
+
 namespace div_broadcast_float {
 std::vector<MixedTypedExample> examples = {
 // Generated div_broadcast_float test

diff --git a/runtimes/tests/neural_networks_test/generated/examples/div_broadcast_float_4D_2D_nnfw.example.cpp b/runtimes/tests/neural_networks_test/generated/examples/div_broadcast_float_4D_2D_nnfw.example.cpp
new file mode 100644 (file)
index 0000000..a0e440c
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/examples/div_broadcast_float_4D_2D_nnfw.example.cpp
@@ -0,0 +1,22 @@
+// Generated file (from: div_broadcast_float_4D_2D_nnfw.mod.py). Do not edit
+// Begin of an example
+{
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {{0, {16, 11, 23, 3, 9, 14, 9, 2, 0, 23, 13, 2, 13, 17, 16, 10, 15, 19, 12, 16, 15, 20, 9, 7}}, {1, {16, 7, 23, 16}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {{0, {1.0f, 1.57142857f, 1.0f, 0.1875f, 0.5625f, 2.0f, 0.39130435f, 0.125f, 0, 3.28571429f, 0.56521739f, 0.125f, 0.8125f, 2.42857143f, 0.69565217f, 0.625f, 0.9375f, 2.71428571f, 0.52173913f, 1.0f, 0.9375f, 2.85714286f, 0.39130435f, 0.4375f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+}
+}, // End of an example

diff --git a/runtimes/tests/neural_networks_test/generated/models/div_broadcast_float_4D_2D_nnfw.model.cpp b/runtimes/tests/neural_networks_test/generated/models/div_broadcast_float_4D_2D_nnfw.model.cpp
new file mode 100644 (file)
index 0000000..47546d6
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/div_broadcast_float_4D_2D_nnfw.model.cpp
@@ -0,0 +1,25 @@
+// Generated file (from: div_broadcast_float_4D_2D_nnfw.mod.py). Do not edit
+void CreateModel(Model *model) {
+  OperandType type2(Type::INT32, {});
+  OperandType type1(Type::TENSOR_FLOAT32, {2, 2});
+  OperandType type0(Type::TENSOR_FLOAT32, {3, 2, 2, 2});
+  // Phase 1, operands
+  auto op1 = model->addOperand(&type0);
+  auto op2 = model->addOperand(&type1);
+  auto act = model->addOperand(&type2);
+  auto op3 = model->addOperand(&type0);
+  // Phase 2, operations
+  static int32_t act_init[] = {0};
+  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
+  model->addOperation(ANEURALNETWORKS_DIV, {op1, op2, act}, {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/specs/V1_1/div_broadcast_float_4D_2D_nnfw.mod.py b/runtimes/tests/neural_networks_test/specs/V1_1/div_broadcast_float_4D_2D_nnfw.mod.py
new file mode 100644 (file)
index 0000000..08d995b
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/V1_1/div_broadcast_float_4D_2D_nnfw.mod.py
@@ -0,0 +1,22 @@
+# model
+model = Model()
+i1 = Input("op1", "TENSOR_FLOAT32", "{3, 2, 2, 2}")
+i2 = Input("op2", "TENSOR_FLOAT32", "{2, 2}")
+act = Int32Scalar("act", 0)
+i3 = Output("op3", "TENSOR_FLOAT32", "{3, 2, 2, 2}")
+model = model.Operation("DIV", i1, i2, act).To(i3)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [16, 11, 23, 3, 9, 14, 9, 2, 0, 23, 13, 2, 13, 17, 16, 10, 15, 19, 12, 16, 15, 20, 9, 7],
+          i2: # input 1
+          [16, 7, 23, 16]}
+
+output0 = {i3: # output 0
+           [1.0, 1.57142857, 1.0, 0.1875, 0.5625, 2.0, 0.39130435, 0.125,
+            0, 3.28571429, 0.56521739, 0.125, 0.8125, 2.42857143, 0.69565217, 0.625,
+            0.9375, 2.71428571, 0.52173913, 1.0, 0.9375, 2.85714286, 0.39130435, 0.4375]
+          }
+
+# Instantiate an example
+Example((input0, output0))