117 lines
4.8 KiB
C++
117 lines
4.8 KiB
C++
/****************************************************************************
|
|
*
|
|
* Copyright (c) 2021 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/maxunpool2d.h"
|
|
|
|
#include "gtest/gtest.h"
|
|
|
|
TEST(MaxUnpool2d, shape_2_2_1_fp32_kernel_2_stride_2) {
|
|
auto ctx = tim::vx::Context::Create();
|
|
auto graph = ctx->CreateGraph();
|
|
|
|
tim::vx::ShapeType in_shape({2, 2, 1});
|
|
tim::vx::ShapeType out_shape({3, 3, 1});
|
|
tim::vx::TensorSpec values_spec(tim::vx::DataType::FLOAT32,
|
|
in_shape, tim::vx::TensorAttribute::INPUT);
|
|
tim::vx::TensorSpec indices_spec(tim::vx::DataType::UINT8,
|
|
in_shape, tim::vx::TensorAttribute::INPUT);
|
|
tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32,
|
|
out_shape, tim::vx::TensorAttribute::OUTPUT);
|
|
|
|
auto values_tensor = graph->CreateTensor(values_spec);
|
|
auto indices_tensor = graph->CreateTensor(indices_spec);
|
|
auto output_tensor = graph->CreateTensor(output_spec);
|
|
|
|
std::vector<float> values = {
|
|
5, 6,
|
|
8, 9 };
|
|
std::vector<uint8_t> indices = {
|
|
3, 2,
|
|
1, 0 };
|
|
std::vector<float> golden = {
|
|
0, 0, 0,
|
|
0, 5, 6,
|
|
0, 8, 9 };
|
|
|
|
EXPECT_TRUE(values_tensor->CopyDataToTensor(values.data(), values.size()*4));
|
|
EXPECT_TRUE(indices_tensor->CopyDataToTensor(indices.data(), indices.size()*4));
|
|
std::array<uint32_t, 2> ksize = {2, 2};
|
|
std::array<uint32_t, 2> stride = {2, 2};
|
|
auto op = graph->CreateOperation<tim::vx::ops::MaxUnpool2d>(ksize, stride);
|
|
(*op).BindInputs({values_tensor, indices_tensor}).BindOutputs({output_tensor});
|
|
|
|
EXPECT_TRUE(graph->Compile());
|
|
EXPECT_TRUE(graph->Run());
|
|
std::vector<float> output(golden.size());
|
|
|
|
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
|
|
EXPECT_EQ(golden, output);
|
|
}
|
|
|
|
TEST(MaxUnpool2d, shape_2_2_1_uint8_kernel_2_stride_2) {
|
|
auto ctx = tim::vx::Context::Create();
|
|
auto graph = ctx->CreateGraph();
|
|
|
|
tim::vx::ShapeType in_shape({2, 2, 1});
|
|
tim::vx::ShapeType out_shape({4, 4, 1});
|
|
tim::vx::Quantization io_quant(tim::vx::QuantType::ASYMMETRIC, 1, 0);
|
|
tim::vx::TensorSpec values_spec(tim::vx::DataType::UINT8,
|
|
in_shape, tim::vx::TensorAttribute::INPUT, io_quant);
|
|
tim::vx::TensorSpec indices_spec(tim::vx::DataType::UINT8,
|
|
in_shape, tim::vx::TensorAttribute::INPUT);
|
|
tim::vx::TensorSpec output_spec(tim::vx::DataType::UINT8,
|
|
out_shape, tim::vx::TensorAttribute::OUTPUT, io_quant);
|
|
|
|
auto values_tensor = graph->CreateTensor(values_spec);
|
|
auto indices_tensor = graph->CreateTensor(indices_spec);
|
|
auto output_tensor = graph->CreateTensor(output_spec);
|
|
|
|
std::vector<uint8_t> values = {
|
|
5, 6,
|
|
11, 12};
|
|
std::vector<uint8_t> indices = {
|
|
3, 2,
|
|
3, 2};
|
|
std::vector<uint8_t> golden = {
|
|
0, 0, 0, 0,
|
|
0, 5, 6, 0,
|
|
0, 0, 0, 0,
|
|
0, 11, 12, 0 };
|
|
|
|
EXPECT_TRUE(values_tensor->CopyDataToTensor(values.data(), values.size()));
|
|
EXPECT_TRUE(indices_tensor->CopyDataToTensor(indices.data(), indices.size()));
|
|
std::array<uint32_t, 2> ksize = {2, 2};
|
|
std::array<uint32_t, 2> stride = {2, 2};
|
|
auto op = graph->CreateOperation<tim::vx::ops::MaxUnpool2d>(ksize, stride);
|
|
(*op).BindInputs({values_tensor, indices_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);
|
|
}
|