1 files changed, 0 insertions, 136 deletions
diff --git a/tests/nnfw_api/src/one_op_tests/Tile.cc b/tests/nnfw_api/src/one_op_tests/Tile.cc
deleted file mode 100644
index 5fa76fc6d..000000000
--- a/tests/nnfw_api/src/one_op_tests/Tile.cc
+++ /dev/null
@@ -1,136 +0,0 @@
-/*
- * 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"
-
-TEST_F(GenModelTest, OneOp_Tile_ConstMul)
-{
-  CircleGen cgen;
-  std::vector<int32_t> mul_data{1, 2};
-  uint32_t mul_buf = cgen.addBuffer(mul_data);
-  int in = cgen.addTensor({{2, 3}, circle::TensorType::TensorType_FLOAT32});
-  int mul = cgen.addTensor({{2}, circle::TensorType::TensorType_INT32, mul_buf});
-  int out = cgen.addTensor({{2, 6}, circle::TensorType::TensorType_FLOAT32});
-  cgen.addOperatorTile({{in, mul}, {out}});
-  cgen.setInputsAndOutputs({in}, {out});
-
-  _context = std::make_unique<GenModelTestContext>(cgen.finish());
-  _context->addTestCase(
-      uniformTCD<float>({{1, 2, 3, 4, 5, 6}}, {{1, 2, 3, 1, 2, 3, 4, 5, 6, 4, 5, 6}}));
-  _context->setBackends({"cpu"});
-
-  SUCCEED();
-}
-
-TEST_F(GenModelTest, OneOp_Tile_MulToConst)
-{
-  CircleGen cgen;
-  std::vector<int32_t> multiplies_data{2, 3, 1};
-  uint32_t multiplies_buf = cgen.addBuffer(multiplies_data);
-  int multiplies = cgen.addTensor({{3}, circle::TensorType::TensorType_INT32, multiplies_buf});
-  int in = cgen.addTensor({{1, 2, 3}, circle::TensorType::TensorType_FLOAT32});
-  int out = cgen.addTensor({{2, 6, 3}, circle::TensorType::TensorType_FLOAT32});
-  cgen.addOperatorTile({{in, multiplies}, {out}});
-  cgen.setInputsAndOutputs({in}, {out});
-
-  _context = std::make_unique<GenModelTestContext>(cgen.finish());
-  _context->addTestCase(uniformTCD<float>(
-      {{11, 12, 13, 21, 22, 23}},
-      {{11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23,
-        11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23}}));
-  _context->setBackends({"cpu"});
-
-  SUCCEED();
-}
-
-TEST_F(GenModelTest, OneOp_Tile_MulToVar)
-{
-  CircleGen cgen;
-  int multiplies = cgen.addTensor({{3}, circle::TensorType::TensorType_INT32});
-  int in = cgen.addTensor({{1, 2, 3}, circle::TensorType::TensorType_FLOAT32});
-  int out = cgen.addTensor({{2, 6, 3}, circle::TensorType::TensorType_FLOAT32});
-  cgen.addOperatorTile({{in, multiplies}, {out}});
-  cgen.setInputsAndOutputs({in, multiplies}, {out});
-
-  _context = std::make_unique<GenModelTestContext>(cgen.finish());
-  TestCaseData tcd;
-  tcd.addInput(std::vector<float>{11, 12, 13, 21, 22, 23});
-  tcd.addInput(std::vector<int32_t>{2, 3, 1});
-  tcd.addOutput(std::vector<float>{11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23,
-                                   11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23,
-                                   11, 12, 13, 21, 22, 23, 11, 12, 13, 21, 22, 23});
-  _context->addTestCase(tcd);
-  _context->setBackends({"cpu"});
-
-  SUCCEED();
-}
-
-TEST_F(GenModelTest, OneOp_Tile_VarMul)
-{
-  CircleGen cgen;
-  int in = cgen.addTensor({{2, 3}, circle::TensorType::TensorType_FLOAT32});
-  int mul = cgen.addTensor({{2}, circle::TensorType::TensorType_INT32});
-  int out = cgen.addTensor({{2, 6}, circle::TensorType::TensorType_FLOAT32});
-  cgen.addOperatorTile({{in, mul}, {out}});
-  cgen.setInputsAndOutputs({in, mul}, {out});
-
-  _context = std::make_unique<GenModelTestContext>(cgen.finish());
-  TestCaseData tcd;
-  tcd.addInput(std::vector<float>{1, 2, 3, 4, 5, 6});
-  tcd.addInput(std::vector<int32_t>{1, 2});
-  tcd.addOutput(std::vector<float>{1, 2, 3, 1, 2, 3, 4, 5, 6, 4, 5, 6});
-  _context->addTestCase(tcd);
-  _context->setBackends({"cpu"});
-
-  SUCCEED();
-}
-
-TEST_F(GenModelTest, neg_OneOp_Tile)
-{
-  CircleGen cgen;
-  std::vector<int32_t> mul_data{1, 2, 1, 2};
-  uint32_t mul_buf = cgen.addBuffer(mul_data);
-  int in = cgen.addTensor({{2, 3}, circle::TensorType::TensorType_FLOAT32});
-  // 2D multiples input is not supported
-  int mul = cgen.addTensor({{2, 2}, circle::TensorType::TensorType_INT32, mul_buf});
-  int out = cgen.addTensor({{2, 6}, circle::TensorType::TensorType_FLOAT32});
-  cgen.addOperatorTile({{in, mul}, {out}});
-  cgen.setInputsAndOutputs({in}, {out});
-
-  _context = std::make_unique<GenModelTestContext>(cgen.finish());
-  _context->setBackends({"cpu"});
-  _context->expectFailCompile();
-
-  SUCCEED();
-}
-
-TEST_F(GenModelTest, neg_OneOp_Tile_InvalidMulSize)
-{
-  CircleGen cgen;
-  std::vector<int32_t> multiplies_data{2, 6};
-  uint32_t multiplies_buf = cgen.addBuffer(multiplies_data);
-  int multiplies = cgen.addTensor({{2}, circle::TensorType::TensorType_INT32, multiplies_buf});
-  int in = cgen.addTensor({{1, 2, 3}, circle::TensorType::TensorType_FLOAT32});
-  int out = cgen.addTensor({{2, 6, 3}, circle::TensorType::TensorType_FLOAT32});
-  cgen.addOperatorTile({{in, multiplies}, {out}});
-  cgen.setInputsAndOutputs({in}, {out});
-
-  _context = std::make_unique<GenModelTestContext>(cgen.finish());
-  _context->setBackends({"cpu"});
-  _context->expectFailCompile();
-
-  SUCCEED();
-}