Add generated tests for NEG_EX (#2869)

Add neg_ex_1D_float for testing 1d tensor.
Add neg_ex_2D_float for testing 2d tensor.

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 6d55d7a..9ab638b 100644 (file)
--- a/runtimes/tests/neural_networks_test/generated/all_generated_tests.cpp
+++ b/runtimes/tests/neural_networks_test/generated/all_generated_tests.cpp
@@ -3039,6 +3039,34 @@ TEST_F(GeneratedTests, gather_2D_quant8) {
             gather_2D_quant8::examples);
 }
 
+namespace neg_ex_1D_float {
+std::vector<MixedTypedExample> examples = {
+// Generated neg_ex_1D_float test
+#include "generated/examples/neg_ex_1D_float.example.cpp"
+};
+// Generated model constructor
+#include "generated/models/neg_ex_1D_float.model.cpp"
+} // namespace neg_ex_1D_float
+TEST_F(GeneratedTests, neg_ex_1D_float) {
+    execute(neg_ex_1D_float::CreateModel,
+            neg_ex_1D_float::is_ignored,
+            neg_ex_1D_float::examples);
+}
+
+namespace neg_ex_2D_float {
+std::vector<MixedTypedExample> examples = {
+// Generated neg_ex_2D_float test
+#include "generated/examples/neg_ex_2D_float.example.cpp"
+};
+// Generated model constructor
+#include "generated/models/neg_ex_2D_float.model.cpp"
+} // namespace neg_ex_2D_float
+TEST_F(GeneratedTests, neg_ex_2D_float) {
+    execute(neg_ex_2D_float::CreateModel,
+            neg_ex_2D_float::is_ignored,
+            neg_ex_2D_float::examples);
+}
+
 namespace tensorflowmax_ex_2D_float {
 std::vector<MixedTypedExample> examples = {
 // Generated tensorflowmax_ex_2D_float test

diff --git a/runtimes/tests/neural_networks_test/generated/examples/neg_ex_1D_float.example.cpp b/runtimes/tests/neural_networks_test/generated/examples/neg_ex_1D_float.example.cpp
new file mode 100644 (file)
index 0000000..26513ed
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/examples/neg_ex_1D_float.example.cpp
@@ -0,0 +1,22 @@
+// Generated file (from: neg_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, {3.0f, 4.0f, 5.0f, 6.0f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {{0, {-3.0f, -4.0f, -5.0f, -6.0f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+}
+}, // End of an example

diff --git a/runtimes/tests/neural_networks_test/generated/examples/neg_ex_2D_float.example.cpp b/runtimes/tests/neural_networks_test/generated/examples/neg_ex_2D_float.example.cpp
new file mode 100644 (file)
index 0000000..599f89c
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/examples/neg_ex_2D_float.example.cpp
@@ -0,0 +1,22 @@
+// Generated file (from: neg_ex_2D_float.mod.py). Do not edit
+// Begin of an example
+{
+//Input(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {{0, {3.123456789123457f, 4.123456789123456f, 5.123456789123456f, 6.123456789123456f, 7.123456789123456f, 8.123456789123457f, 9.123456789123457f, 1.1234567891234568f, 2.123456789123457f, 18.123456789123455f, 19.123456789123455f, 11.123456789123457f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+},
+//Output(s)
+{ // See tools/test_generator/include/TestHarness.h:MixedTyped
+  // int -> FLOAT32 map
+  {{0, {-3.123456789123457f, -4.123456789123456f, -5.123456789123456f, -6.123456789123456f, -7.123456789123456f, -8.123456789123457f, -9.123456789123457f, -1.1234567891234568f, -2.123456789123457f, -18.123456789123455f, -19.123456789123455f, -11.123456789123457f}}},
+  // int -> INT32 map
+  {},
+  // int -> QUANT8_ASYMM map
+  {}
+}
+}, // End of an example

diff --git a/runtimes/tests/neural_networks_test/generated/models/neg_ex_1D_float.model.cpp b/runtimes/tests/neural_networks_test/generated/models/neg_ex_1D_float.model.cpp
new file mode 100644 (file)
index 0000000..0375a9e
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/neg_ex_1D_float.model.cpp
@@ -0,0 +1,19 @@
+// Generated file (from: neg_ex_1D_float.mod.py). Do not edit
+void CreateModel(Model *model) {
+  OperandType type0(Type::TENSOR_FLOAT32, {4});
+  // Phase 1, operands
+  auto op1 = model->addOperand(&type0);
+  auto op2 = model->addOperand(&type0);
+  // Phase 2, operations
+  model->addOperationEx(ANEURALNETWORKS_NEG_EX, {op1}, {op2});
+  // Phase 3, inputs and outputs
+  model->identifyInputsAndOutputs(
+    {op1},
+    {op2});
+  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/neg_ex_2D_float.model.cpp b/runtimes/tests/neural_networks_test/generated/models/neg_ex_2D_float.model.cpp
new file mode 100644 (file)
index 0000000..82a72b7
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/generated/models/neg_ex_2D_float.model.cpp
@@ -0,0 +1,19 @@
+// Generated file (from: neg_ex_2D_float.mod.py). Do not edit
+void CreateModel(Model *model) {
+  OperandType type0(Type::TENSOR_FLOAT32, {3,4});
+  // Phase 1, operands
+  auto op1 = model->addOperand(&type0);
+  auto op2 = model->addOperand(&type0);
+  // Phase 2, operations
+  model->addOperationEx(ANEURALNETWORKS_NEG_EX, {op1}, {op2});
+  // Phase 3, inputs and outputs
+  model->identifyInputsAndOutputs(
+    {op1},
+    {op2});
+  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 84a48a6..5ac1e3f 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
@@ -73,6 +73,8 @@ GeneratedTests.max_pool_quant8_2
 GeneratedTests.max_pool_quant8_3
 GeneratedTests.mobilenet*
 GeneratedTests.mul*
+GeneratedTests.neg_ex_1D_float
+GeneratedTests.neg_ex_2D_float
 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 a33955f..38321a1 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
@@ -44,6 +44,8 @@ GeneratedTests.mean_float_2
 GeneratedTests.mean_quant8_1
 GeneratedTests.mean_quant8_2
 GeneratedTests.mobilenet_quantized
+GeneratedTests.neg_ex_1D_float
+GeneratedTests.neg_ex_2D_float
 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 05f708e..f3d3b38 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
@@ -36,6 +36,8 @@ GeneratedTests.lstm3_state
 GeneratedTests.lstm
 GeneratedTests.lstm_state2
 GeneratedTests.lstm_state
+GeneratedTests.neg_ex_1D_float
+GeneratedTests.neg_ex_2D_float
 GeneratedTests.relu1_float_1
 GeneratedTests.relu1_float_2
 GeneratedTests.relu1_quant8_1

diff --git a/runtimes/tests/neural_networks_test/specs/Ex/neg_ex_1D_float.mod.py b/runtimes/tests/neural_networks_test/specs/Ex/neg_ex_1D_float.mod.py
new file mode 100644 (file)
index 0000000..d662980
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/Ex/neg_ex_1D_float.mod.py
@@ -0,0 +1,15 @@
+# model
+model = Model()
+i1 = Input("op1", "TENSOR_FLOAT32", "{4}") # a vector of input
+i2 = Output("op2", "TENSOR_FLOAT32", "{4}") # a vector of output
+model = model.Operation("NEG_EX", i1).To(i2)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [3.0, 4.0, 5.0, 6.0]}
+
+output0 = {i2: # output 0
+           [-3.0, -4.0, -5.0, -6.0]}
+
+# Instantiate an example
+Example((input0, output0))

diff --git a/runtimes/tests/neural_networks_test/specs/Ex/neg_ex_2D_float.mod.py b/runtimes/tests/neural_networks_test/specs/Ex/neg_ex_2D_float.mod.py
new file mode 100644 (file)
index 0000000..829fede
--- /dev/null
+++ b/runtimes/tests/neural_networks_test/specs/Ex/neg_ex_2D_float.mod.py
@@ -0,0 +1,19 @@
+# model
+model = Model()
+i1 = Input("op1", "TENSOR_FLOAT32", "{3,4}")
+i2 = Output("op2", "TENSOR_FLOAT32", "{3,4}")
+model = model.Operation("NEG_EX", i1).To(i2)
+
+# Example 1. Input in operand 0,
+input0 = {i1: # input 0
+          [3.123456789123456789, 4.123456789123456789, 5.123456789123456789, 6.123456789123456789,
+          7.123456789123456789, 8.123456789123456789, 9.123456789123456789, 1.123456789123456789,
+          2.123456789123456789, 18.123456789123456789, 19.123456789123456789, 11.123456789123456789]}
+
+output0 = {i2: # output 0
+          [-3.123456789123456789, -4.123456789123456789, -5.123456789123456789, -6.123456789123456789,
+          -7.123456789123456789, -8.123456789123456789, -9.123456789123456789, -1.123456789123456789,
+          -2.123456789123456789, -18.123456789123456789, -19.123456789123456789, -11.123456789123456789]}
+
+# Instantiate an example
+Example((input0, output0))