106 lines
4.4 KiB
C++
106 lines
4.4 KiB
C++
/****************************************************************************
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*
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* Copyright (c) 2022 Vivante Corporation
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*
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* Permission is hereby granted, free of charge, to any person obtaining a
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* copy of this software and associated documentation files (the "Software"),
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* to deal in the Software without restriction, including without limitation
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* the rights to use, copy, modify, merge, publish, distribute, sublicense,
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* and/or sell copies of the Software, and to permit persons to whom the
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* Software is furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
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* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
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* DEALINGS IN THE SOFTWARE.
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*
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*****************************************************************************/
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#include "tim/vx/ops/roi_align.h"
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#include "gtest/gtest.h"
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#include "test_utils.h"
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#include "tim/vx/context.h"
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#include "tim/vx/graph.h"
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#include "tim/vx/types.h"
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TEST(RoiAlign, shape_4_2_1_1_float32) {
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auto ctx = tim::vx::Context::Create();
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auto graph = ctx->CreateGraph();
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uint32_t height = 4;
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uint32_t width = 4;
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uint32_t channels = 1;
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uint32_t batch = 1;
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uint32_t num_rois = 4;
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uint32_t depth = channels;
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int32_t out_height = 2;
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int32_t out_width = 2;
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float height_ratio = 2.0f;
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float width_ratio = 2.0f;
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int32_t height_sample_num = 4;
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int32_t width_sample_num = 4;
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tim::vx::ShapeType input_shape({width, height, channels, batch}); //whcn
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tim::vx::ShapeType regions_shape({4, num_rois});
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tim::vx::ShapeType batch_index_shape({num_rois});
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tim::vx::ShapeType output_shape(
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{(uint32_t)out_width, (uint32_t)out_height, depth, num_rois});
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tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, input_shape,
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tim::vx::TensorAttribute::INPUT);
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tim::vx::TensorSpec regions_spec(tim::vx::DataType::FLOAT32, regions_shape,
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tim::vx::TensorAttribute::INPUT);
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tim::vx::TensorSpec batch_index_spec(tim::vx::DataType::INT32,
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batch_index_shape,
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tim::vx::TensorAttribute::INPUT);
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tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32, output_shape,
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tim::vx::TensorAttribute::OUTPUT);
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std::vector<float> input_data = {-10.0f, -1.0f, 4.0f, -5.0f, -8.0f, -2.0f,
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9.0f, 1.0f, 7.0f, -2.0f, 3.0f, -7.0f,
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-2.0f, 10.0f, -3.0f, 5.0f};
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std::vector<float> regions_data = {2.0f, 2.0f, 4.0f, 4.0f, 0.0f, 0.0f,
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8.0f, 8.0f, 2.0f, 0.0f, 4.0f, 8.0f,
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0.0f, 2.0f, 8.0f, 4.0f};
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std::vector<int32_t> batch_index_data = {0, 0, 0, 0};
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std::vector<float> golden = {
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0.375f, 5.125f, -0.375f, 2.875f, -0.5f, -0.3125f, 3.1875f, 1.125f,
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0.25f, 4.25f, 4.875f, 0.625f, -0.1875f, 1.125f, 0.9375f, -2.625f};
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auto input_tensor = graph->CreateTensor(input_spec);
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auto regions_tensor = graph->CreateTensor(regions_spec, regions_data.data());
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auto batch_index_tensor =
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graph->CreateTensor(batch_index_spec, batch_index_data.data());
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auto output_tensor = graph->CreateTensor(output_spec);
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auto roi_align = graph->CreateOperation<tim::vx::ops::RoiAlign>(
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out_height, out_width, height_ratio, width_ratio, height_sample_num,
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width_sample_num);
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(*roi_align)
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.BindInput(input_tensor)
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.BindInput(regions_tensor)
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.BindInput(batch_index_tensor)
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.BindOutput(output_tensor);
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EXPECT_TRUE(graph->Compile());
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input_tensor->CopyDataToTensor(input_data.data());
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regions_tensor->CopyDataToTensor(regions_data.data());
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batch_index_tensor->CopyDataToTensor(batch_index_data.data());
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EXPECT_TRUE(graph->Run());
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std::vector<float> output(num_rois * out_height * out_width * depth);
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EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
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EXPECT_EQ(golden, output);
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} |