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author | Chunseok Lee <chunseok.lee@samsung.com> | 2021-04-20 18:01:41 +0900 |
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committer | Chunseok Lee <chunseok.lee@samsung.com> | 2021-04-20 18:01:41 +0900 |
commit | 589bb1db6db6784efe21b3fbbfbfdb79aaa5f14e (patch) | |
tree | 47a2b23ce4220e3a4150c8b12ed941555272fb0c /compiler/luci-interpreter/src/kernels/MaxPool2D.test.cpp | |
parent | 62529acabbafce7730601ed01d5709d7bc0d378a (diff) | |
download | nnfw-589bb1db6db6784efe21b3fbbfbfdb79aaa5f14e.tar.gz nnfw-589bb1db6db6784efe21b3fbbfbfdb79aaa5f14e.tar.bz2 nnfw-589bb1db6db6784efe21b3fbbfbfdb79aaa5f14e.zip |
Imported Upstream version 1.15.0upstream/1.15.0submit/tizen/20210427.093759submit/tizen/20210423.055448submit/tizen/20210422.015846submit/tizen/20210421.062230accepted/tizen/unified/20210428.040443
Diffstat (limited to 'compiler/luci-interpreter/src/kernels/MaxPool2D.test.cpp')
-rw-r--r-- | compiler/luci-interpreter/src/kernels/MaxPool2D.test.cpp | 28 |
1 files changed, 14 insertions, 14 deletions
diff --git a/compiler/luci-interpreter/src/kernels/MaxPool2D.test.cpp b/compiler/luci-interpreter/src/kernels/MaxPool2D.test.cpp index 1d7fe06c4..b9991f7ec 100644 --- a/compiler/luci-interpreter/src/kernels/MaxPool2D.test.cpp +++ b/compiler/luci-interpreter/src/kernels/MaxPool2D.test.cpp @@ -30,9 +30,9 @@ TEST(MaxPool2DTest, Float) { Shape input_shape{1, 3, 5, 1}; std::vector<float> input_data{ - 1, -1, 0, -2, 2, // - -7, -6, -5, -4, -3, // - 5, 4, 3, 6, 7, // + 1, -1, 0, -2, 2, // + -7, -6, -5, -4, -3, // + 5, 4, 3, 6, 7, // }; Tensor input_tensor = makeInputTensor<DataType::FLOAT32>(input_shape, input_data); Tensor output_tensor = makeOutputTensor(DataType::FLOAT32); @@ -50,8 +50,8 @@ TEST(MaxPool2DTest, Float) kernel.execute(); std::vector<float> ref_output_data{ - 1, 2, // - 5, 6, // + 1, 2, // + 5, 6, // }; std::initializer_list<int32_t> ref_output_shape{1, 2, 2, 1}; EXPECT_THAT(extractTensorData<float>(output_tensor), FloatArrayNear(ref_output_data)); @@ -62,11 +62,11 @@ TEST(MaxPool2DTest, Uint8) { std::pair<float, int32_t> quant_param = quantizationParams<uint8_t>(-15.9375, 15.9375); std::vector<float> input_data{ - 0, -6, 12, 4, // - -3, -2, 10, 7, // + 0, -6, 12, 4, // + -3, -2, 10, 7, // }; - Tensor input_tensor = makeInputTensor<DataType::U8>({1, 2, 4, 1}, quant_param.first, - quant_param.second, input_data); + Tensor input_tensor = + makeInputTensor<DataType::U8>({1, 2, 4, 1}, quant_param.first, quant_param.second, input_data); Tensor output_tensor = makeOutputTensor(DataType::U8, quant_param.first, quant_param.second); Pool2DParams params{}; @@ -92,13 +92,13 @@ TEST(MaxPool2DTest, SInt16) Shape input_shape{1, 3, 5, 1}; std::vector<int32_t> ref_output_shape{1, 2, 2, 1}; std::vector<float> input_data{ - 1, -1, 0, -2, 2, // - -7, -6, -5, -4, -3, // - 5, 4, 3, 6, 7, // + 1, -1, 0, -2, 2, // + -7, -6, -5, -4, -3, // + 5, 4, 3, 6, 7, // }; std::vector<float> ref_output_data{ - 1, 2, // - 5, 6, // + 1, 2, // + 5, 6, // }; Tensor input_tensor = makeInputTensor<DataType::S16>(input_shape, 0.2, 0, input_data); |