added negative tests

tests/nnfw_api/src/GenModelTests/one_op_tests/Reshape.test.cc

@@ -0,0 +1,89 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "GenModelTest.h"
+
+TEST_F(GenModelTest, OneOp_neg_Reshape_invalid_target_shape)
+{
+  CircleGen cgen;
+  const auto f32 = circle::TensorType::TensorType_FLOAT32;
+
+  const std::vector<int32_t> new_shape_data{1, 5};
+  const uint32_t new_shape_buf = cgen.addBuffer(new_shape_data);
+  const int new_shape = cgen.addTensor({{2}, f32, new_shape_buf});
+  const int input = cgen.addTensor({{4}, f32});
+  const int out = cgen.addTensor({{1, 5}, f32});
+
+  cgen.addOperatorReshape({{input, new_shape}, {out}}, &new_shape_data);
+  cgen.setInputsAndOutputs({input}, {out});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->addTestCase(uniformTCD<float>({{1, 2, 3, 4}}, {{1, 2, 3, 4}}));
+  _context->setBackends({"cpu", "gpu_cl"});
+
+  _context->expectFailCompile();
+
+  SUCCEED();
+}
+
+TEST_F(GenModelTest, OneOp_neg_Reshape_invalid_target_dyn_shape)
+{
+  CircleGen cgen;
+  const auto f32 = circle::TensorType::TensorType_FLOAT32;
+  const auto i32 = circle::TensorType::TensorType_INT32;
+
+  const std::vector<float> in_data{1.f, 2.f, 3.f, 4.f};
+  const uint32_t input_buf = cgen.addBuffer(in_data);
+  const int input = cgen.addTensor({{4}, f32, input_buf});
+  const int new_shape = cgen.addTensor({{2}, i32});
+  const int out = cgen.addTensor({{}, f32}); // unspecified shape
+
+  const CircleGen::Shape empty_new_shape;
+  cgen.addOperatorReshape({{input, new_shape}, {out}}, &empty_new_shape);
+  cgen.setInputsAndOutputs({new_shape}, {out});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->addTestCase(
+    TestCaseData{}.addInput(std::vector<int>{1, 5}).addOutput(in_data).expectFailRun());
+  _context->output_sizes(0, sizeof(float) * in_data.size());
+  _context->setBackends({"cpu", "gpu_cl"});
+
+  SUCCEED();
+}
+
+TEST_F(GenModelTest, OneOp_neg_Reshape_invalid_target_dyn_type)
+{
+  CircleGen cgen;
+  const auto f32 = circle::TensorType::TensorType_FLOAT32;
+
+  const std::vector<float> in_data{1.f, 2.f, 3.f, 4.f};
+  const uint32_t input_buf = cgen.addBuffer(in_data);
+  const int input = cgen.addTensor({{4}, f32, input_buf});
+  const int new_shape = cgen.addTensor({{2}, f32});
+  const int out = cgen.addTensor({{}, f32}); // unspecified shape
+
+  const CircleGen::Shape empty_new_shape;
+  cgen.addOperatorReshape({{input, new_shape}, {out}}, &empty_new_shape);
+  cgen.setInputsAndOutputs({new_shape}, {out});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->addTestCase(
+    TestCaseData{}.addInput(std::vector<float>{2, 2}).addOutput(in_data).expectFailRun());
+  _context->output_sizes(0, sizeof(float) * in_data.size());
+  _context->setBackends({"cpu", "gpu_cl"});
+
+  SUCCEED();
+}

tests/nnfw_api/src/GenModelTests/one_op_tests/Squeeze.test.cc

@@ -0,0 +1,55 @@
+/*
+ * Copyright (c) 2024 Samsung Electronics Co., Ltd. All Rights Reserved
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *      http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+#include "GenModelTest.h"
+
+TEST_F(GenModelTest, OneOp_neg_Squeeze_invalid_dims)
+{
+  CircleGen cgen;
+  const std::vector<int32_t> squeeze_dims{0, 1}; // 1 dim here is incorrect
+  int input = cgen.addTensor({{1, 2, 1, 2}, circle::TensorType::TensorType_FLOAT32});
+  int squeeze_out = cgen.addTensor({{2, 2}, circle::TensorType::TensorType_FLOAT32});
+
+  cgen.addOperatorSqueeze({{input}, {squeeze_out}}, squeeze_dims);
+  cgen.setInputsAndOutputs({input}, {squeeze_out});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->addTestCase(uniformTCD<float>({{1, 2, 3, 4}}, {{1, 2, 3, 4}}));
+  _context->setBackends({"cpu", "gpu_cl"});
+
+  _context->expectFailCompile();
+
+  SUCCEED();
+}
+
+TEST_F(GenModelTest, OneOp_neg_Squeeze_out_of_rank_dims)
+{
+  CircleGen cgen;
+  const std::vector<int32_t> squeeze_dims{0, 4}; // 4 dim here is incorrect
+  int input = cgen.addTensor({{1, 2, 1, 2}, circle::TensorType::TensorType_FLOAT32});
+  int squeeze_out = cgen.addTensor({{2, 2}, circle::TensorType::TensorType_FLOAT32});
+
+  cgen.addOperatorSqueeze({{input}, {squeeze_out}}, squeeze_dims);
+  cgen.setInputsAndOutputs({input}, {squeeze_out});
+
+  _context = std::make_unique<GenModelTestContext>(cgen.finish());
+  _context->addTestCase(uniformTCD<float>({{1, 2, 3, 4}}, {{1, 2, 3, 4}}));
+  _context->setBackends({"cpu", "gpu_cl"});
+
+  _context->expectFailCompile();
+
+  SUCCEED();
+}