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authorHanjoung Lee <hanjoung.lee@samsung.com>2020-09-10 13:46:16 +0900
committerChunseok Lee <chunseok.lee@samsung.com>2020-09-15 11:10:32 +0900
commitbd3b73d5dd04eb8415b231c9b8cb74552aae142e (patch)
treef8716e991ea2ae73c868e6e825425d5e2a6d568f /tests/nnfw_api/src/one_op_tests
parent5828ffdff817bbc93dba5384fa67b934ae6fb2b4 (diff)
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- Log subgraph calls during execution so we can trace the execution stack. - Add a OneOp TC for If This is a squashed commit of 465828c0 8aba0221 and 117a4712 . ONE-DCO-1.0-Signed-off-by: Hanjoung Lee <hanjoung.lee@samsung.com> Change-Id: Idfa7044145b855222ab8ab382291e2d05af63f78 Signed-off-by: Chunseok Lee <chunseok.lee@samsung.com>
Diffstat (limited to 'tests/nnfw_api/src/one_op_tests')
-rw-r--r--tests/nnfw_api/src/one_op_tests/If.cc76
1 files changed, 76 insertions, 0 deletions
diff --git a/tests/nnfw_api/src/one_op_tests/If.cc b/tests/nnfw_api/src/one_op_tests/If.cc
new file mode 100644
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+++ b/tests/nnfw_api/src/one_op_tests/If.cc
@@ -0,0 +1,76 @@
+/*
+ * Copyright (c) 2020 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"
+
+#include <memory>
+
+TEST_F(GenModelTest, OneOp_If)
+{
+ // The model looks just like the below pseudocode
+ //
+ // function model(x)
+ // {
+ // if (x < 0.0)
+ // return -100.0;
+ // else
+ // return 100.0;
+ // }
+
+ CircleGen cgen;
+
+ // constant buffers
+ std::vector<float> comp_data{0.0};
+ uint32_t comp_buf = cgen.addBuffer(comp_data);
+ std::vector<float> then_data{-100};
+ uint32_t then_buf = cgen.addBuffer(then_data);
+ std::vector<float> else_data{100};
+ uint32_t else_buf = cgen.addBuffer(else_data);
+
+ // primary subgraph
+ {
+ int x = cgen.addTensor({{1}, circle::TensorType_FLOAT32});
+ int comp = cgen.addTensor({{1}, circle::TensorType_FLOAT32, comp_buf});
+ int cond = cgen.addTensor({{1}, circle::TensorType_BOOL});
+ cgen.addOperatorLess({{x, comp}, {cond}});
+
+ int ret = cgen.addTensor({{1}, circle::TensorType_FLOAT32});
+ cgen.addOperatorIf({{cond}, {ret}}, 1, 2);
+
+ cgen.setInputsAndOutputs({x}, {ret});
+ }
+
+ // then subgraph
+ {
+ cgen.nextSubgraph();
+ int ret = cgen.addTensor({{1}, circle::TensorType_FLOAT32, then_buf});
+ cgen.setInputsAndOutputs({}, {ret});
+ }
+
+ // else subgraph
+ {
+ cgen.nextSubgraph();
+ int ret = cgen.addTensor({{1}, circle::TensorType_FLOAT32, else_buf});
+ cgen.setInputsAndOutputs({}, {ret});
+ }
+
+ _context = std::make_unique<GenModelTestContext>(cgen.finish());
+ _context->addTestCase({{{-1.0}}, {{-100.0}}});
+ _context->addTestCase({{{1.0}}, {{100.0}}});
+ _context->setBackends({"cpu"});
+
+ SUCCEED();
+}