summaryrefslogtreecommitdiff
path: root/compiler/luci-interpreter/src/kernels/LessEqual.test.cpp
diff options
context:
space:
mode:
Diffstat (limited to 'compiler/luci-interpreter/src/kernels/LessEqual.test.cpp')
-rw-r--r--compiler/luci-interpreter/src/kernels/LessEqual.test.cpp214
1 files changed, 0 insertions, 214 deletions
diff --git a/compiler/luci-interpreter/src/kernels/LessEqual.test.cpp b/compiler/luci-interpreter/src/kernels/LessEqual.test.cpp
deleted file mode 100644
index 9184c061f..000000000
--- a/compiler/luci-interpreter/src/kernels/LessEqual.test.cpp
+++ /dev/null
@@ -1,214 +0,0 @@
-/*
- * Copyright (c) 2020 Samsung Electronics Co., Ltd. All Rights Reserved
- * Copyright 2017 The TensorFlow Authors. 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 "kernels/LessEqual.h"
-#include "kernels/TestUtils.h"
-
-namespace luci_interpreter
-{
-namespace kernels
-{
-namespace
-{
-
-using namespace testing;
-
-TEST(LessEqualTest, FloatSimple)
-{
- std::vector<float> x_data{
- 0.5, 0.7, 0.9, // Row 1
- 1, 0, -1, // Row 2
- };
-
- std::vector<float> y_data{
- 0.9, 0.7, 0.5, // Row 1
- -1, 0, 1, // Row 2
- };
-
- std::vector<bool> ref_output_data{
- true, true, false, // Row 1
- false, true, true, // Row 2
- };
-
- Tensor x_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, x_data);
- Tensor y_tensor = makeInputTensor<DataType::FLOAT32>({2, 3}, y_data);
- Tensor output_tensor = makeOutputTensor(DataType::BOOL);
-
- LessEqual kernel(&x_tensor, &y_tensor, &output_tensor);
- kernel.configure();
- kernel.execute();
-
- EXPECT_THAT(extractTensorData<bool>(output_tensor), ::testing::ElementsAreArray(ref_output_data));
- EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray({2, 3}));
-}
-
-TEST(LessEqualTest, FloatBroardcast)
-{
- std::vector<float> x_data{
- 0.5, 0.7, 0.9, // Row 1
- 1, 0, -1, // Row 2
- -1, 0, 1, // Row 3
- };
-
- std::vector<float> y_data{
- 0.9, 0.7, 0.5, // Row 1
- };
-
- std::vector<bool> ref_output_data{
- true, true, false, // Row 1
- false, true, true, // Row 2
- true, true, false, // Row 3
- };
-
- Tensor x_tensor = makeInputTensor<DataType::FLOAT32>({3, 3}, x_data);
- Tensor y_tensor = makeInputTensor<DataType::FLOAT32>({1, 3}, y_data);
- Tensor output_tensor = makeOutputTensor(DataType::BOOL);
-
- LessEqual kernel(&x_tensor, &y_tensor, &output_tensor);
- kernel.configure();
- kernel.execute();
-
- EXPECT_THAT(extractTensorData<bool>(output_tensor), ::testing::ElementsAreArray(ref_output_data));
- EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray({3, 3}));
-}
-
-// Choose min / max in such a way that there are exactly 256 units to avoid rounding errors.
-const float F_MIN = -128.0 / 128.0;
-const float F_MAX = 127.0 / 128.0;
-
-TEST(LessEqualTest, Uint8Quantized)
-{
- std::vector<float> x_data{
- 0.5, 0.6, 0.7, 0.9, // Row 1
- 1, 0, 0.05, -1, // Row 2
- };
-
- std::vector<float> y_data{
- 0.9, 0.6, 0.55, 0.5, // Row 1
- -1, 0.05, 0, 1, // Row 2
- };
-
- std::vector<bool> ref_output_data{
- true, true, false, false, // Row 1
- false, true, false, true, // Row 2
- };
-
- std::pair<float, int32_t> quant_param = quantizationParams<uint8_t>(F_MIN, F_MAX);
- Tensor x_tensor =
- makeInputTensor<DataType::U8>({1, 2, 4, 1}, quant_param.first, quant_param.second, x_data);
- Tensor y_tensor =
- makeInputTensor<DataType::U8>({1, 2, 4, 1}, quant_param.first, quant_param.second, y_data);
- Tensor output_tensor = makeOutputTensor(DataType::BOOL);
-
- LessEqual kernel(&x_tensor, &y_tensor, &output_tensor);
- kernel.configure();
- kernel.execute();
-
- EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray({1, 2, 4, 1}));
- EXPECT_THAT(extractTensorData<bool>(output_tensor), ::testing::ElementsAreArray(ref_output_data));
-}
-
-TEST(LessEqualTest, Uint8QuantizedRescale)
-{
- std::vector<float> x_data{
- 0.5, 0.6, 0.7, 0.9, // Row 1
- 1, 0, 0.05, -1, // Row 2
- };
-
- std::vector<float> y_data{
- 0.9, 0.6, 0.6, 0.5, // Row 1
- -1, 0.05, 0, 1, // Row 2
- };
-
- std::vector<bool> ref_output_data{
- true, true, false, false, // Row 1
- false, true, false, true, // Row 2
- };
-
- std::pair<float, int32_t> x_quant_param = quantizationParams<uint8_t>(F_MIN, F_MAX);
- std::pair<float, int32_t> y_quant_param = quantizationParams<uint8_t>(F_MIN * 1.2, F_MAX * 1.5);
-
- Tensor x_tensor = makeInputTensor<DataType::U8>({1, 2, 4, 1}, x_quant_param.first,
- x_quant_param.second, x_data);
- Tensor y_tensor = makeInputTensor<DataType::U8>({1, 2, 4, 1}, y_quant_param.first,
- y_quant_param.second, y_data);
- Tensor output_tensor = makeOutputTensor(DataType::BOOL);
-
- LessEqual kernel(&x_tensor, &y_tensor, &output_tensor);
- kernel.configure();
- kernel.execute();
-
- EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray({1, 2, 4, 1}));
- EXPECT_THAT(extractTensorData<bool>(output_tensor), ::testing::ElementsAreArray(ref_output_data));
-}
-
-TEST(LessEqualTest, Uint8QuantizedBroadcast)
-{
- std::vector<float> x_data{
- 0.4, -0.8, 0.7, 0.3, // Row 1
- -0.5, 0.1, 0, 0.5, // Row 2
- 1, 0, 0.05, -1, // Row 3
- };
-
- std::vector<float> y_data{
- -1, 0.05, 0, 1, // Row 1
- };
-
- std::vector<bool> ref_output_data{
- false, true, false, true, // Row 1
- false, false, true, true, // Row 2
- false, true, false, true, // Row 3
- };
-
- std::pair<float, int32_t> quant_param = quantizationParams<uint8_t>(F_MIN, F_MAX);
- Tensor x_tensor =
- makeInputTensor<DataType::U8>({1, 3, 4, 1}, quant_param.first, quant_param.second, x_data);
- Tensor y_tensor =
- makeInputTensor<DataType::U8>({1, 1, 4, 1}, quant_param.first, quant_param.second, y_data);
- Tensor output_tensor = makeOutputTensor(DataType::BOOL);
-
- LessEqual kernel(&x_tensor, &y_tensor, &output_tensor);
- kernel.configure();
- kernel.execute();
-
- EXPECT_THAT(extractTensorShape(output_tensor), ::testing::ElementsAreArray({1, 3, 4, 1}));
- EXPECT_THAT(extractTensorData<bool>(output_tensor), ::testing::ElementsAreArray(ref_output_data));
-}
-
-TEST(LessEqualTest, Input_Type_Mismatch_NEG)
-{
- Tensor x_tensor = makeInputTensor<DataType::FLOAT32>({1}, {1.f});
- Tensor y_tensor = makeInputTensor<DataType::U8>({1}, {1});
- Tensor output_tensor = makeOutputTensor(DataType::BOOL);
-
- LessEqual kernel(&x_tensor, &y_tensor, &output_tensor);
- EXPECT_ANY_THROW(kernel.configure());
-}
-
-TEST(LessEqualTest, Input_Output_Type_NEG)
-{
- Tensor x_tensor = makeInputTensor<DataType::FLOAT32>({1}, {1.f});
- Tensor y_tensor = makeInputTensor<DataType::FLOAT32>({1}, {1.f});
- Tensor output_tensor = makeOutputTensor(DataType::FLOAT32);
-
- LessEqual kernel(&x_tensor, &y_tensor, &output_tensor);
- EXPECT_ANY_THROW(kernel.configure());
-}
-
-} // namespace
-} // namespace kernels
-} // namespace luci_interpreter
generated by cgit v1.2.3 (git 2.25.1) at 2024-07-02 03:32:21 +0000