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add a case for resize bilinear (#662) 

Type: Code improvement

Signed-off-by: Chen <jack.chen@verisilicon.com>
Co-authored-by: Chen <jack.chen@verisilicon.com>
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chxin66 2023-11-21 21:39:42 +08:00 committed by GitHub
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src/tim/vx/ops/resize_bilinear_test.cc Normal file
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/****************************************************************************
*
* Copyright (c) 2020-2023 Vivante Corporation
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
*
*****************************************************************************/
#include "tim/vx/context.h"
#include "tim/vx/graph.h"
#include "tim/vx/ops/resize.h"
#include "test_utils.h"
#include "gtest/gtest.h"
TEST(ResizeBilinear, align_corners) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType input_shape({3, 3, 1, 1});
tim::vx::ShapeType output_shape({2, 2, 1, 1});
std::vector<float> scales_input = {0.5f};
std::vector<int32_t> zero_point_input = {128};
std::vector<float> scales_output = {0.5f};
std::vector<int32_t> zero_point_output = {128};
tim::vx::Quantization quant_in(tim::vx::QuantType::ASYMMETRIC, 0,
scales_input, zero_point_input);
tim::vx::Quantization quant_out(tim::vx::QuantType::ASYMMETRIC, 0,
scales_output, zero_point_output);
tim::vx::TensorSpec input_spec(tim::vx::DataType::UINT8, input_shape,
tim::vx::TensorAttribute::INPUT, quant_in);
tim::vx::TensorSpec output_spec(tim::vx::DataType::UINT8, output_shape,
tim::vx::TensorAttribute::OUTPUT, quant_out);
auto input_tensor = graph->CreateTensor(input_spec);
auto output_tensor = graph->CreateTensor(output_spec);
std::vector<uint8_t> in_data = {130, 132, 134, 136, 138,
140, 142, 144, 146};
std::vector<uint8_t> golden = {130, 134, 142, 146};
EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(), in_data.size()));
auto op = graph->CreateOperation<tim::vx::ops::Resize>(
tim::vx::ResizeType::BILINEAR, 0, true, false, 2, 2);
(*op).BindInputs({input_tensor}).BindOutputs({output_tensor});
EXPECT_TRUE(graph->Compile());
EXPECT_TRUE(graph->Run());
std::vector<uint8_t> output(golden.size());
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
EXPECT_EQ(golden, output);
}