111 lines
4.8 KiB
C++
111 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/reorg.h"
|
|
|
|
#include "gtest/gtest.h"
|
|
|
|
// FIXME (KC) : There seems to be a limitation that Channel needs to be >= 4,
|
|
// also stride other than 2 is not tested
|
|
TEST(Reorg, shape_4_4_4_1_u8) {
|
|
auto ctx = tim::vx::Context::Create();
|
|
auto graph = ctx->CreateGraph();
|
|
|
|
tim::vx::ShapeType i_shape({4, 4, 4, 1});
|
|
tim::vx::ShapeType o_shape({2, 2, 16, 1});
|
|
tim::vx::Quantization quant(tim::vx::QuantType::ASYMMETRIC, 1, 0);
|
|
tim::vx::TensorSpec input_spec(tim::vx::DataType::UINT8,
|
|
i_shape, tim::vx::TensorAttribute::INPUT, quant);
|
|
tim::vx::TensorSpec output_spec(tim::vx::DataType::UINT8,
|
|
o_shape, tim::vx::TensorAttribute::OUTPUT, quant);
|
|
|
|
auto input_tensor = graph->CreateTensor(input_spec);
|
|
auto output_tensor = graph->CreateTensor(output_spec);
|
|
|
|
std::vector<uint8_t> in_data = {
|
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
|
|
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
|
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
|
|
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
|
|
};
|
|
std::vector<uint8_t> golden = {
|
|
0, 2, 4, 6, 16, 18, 20, 22, 0, 2, 4, 6, 16, 18, 20, 22,
|
|
1, 3, 5, 7, 17, 19, 21, 23, 1, 3, 5, 7, 17, 19, 21, 23,
|
|
8, 10, 12, 14, 24, 26, 28, 30, 8, 10, 12, 14, 24, 26, 28, 30,
|
|
9, 11, 13, 15, 25, 27, 29, 31, 9, 11, 13, 15, 25, 27, 29, 31
|
|
};
|
|
|
|
EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(), in_data.size()));
|
|
|
|
auto op = graph->CreateOperation<tim::vx::ops::Reorg>(2);
|
|
(*op).BindInputs({input_tensor}).BindOutputs({output_tensor});
|
|
|
|
EXPECT_TRUE(graph->Compile());
|
|
EXPECT_TRUE(graph->Run());
|
|
std::vector<uint8_t> output(64, 0);
|
|
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
|
|
EXPECT_EQ(golden, output);
|
|
}
|
|
|
|
TEST(Reorg, shape_4_4_4_1_fp32) {
|
|
auto ctx = tim::vx::Context::Create();
|
|
auto graph = ctx->CreateGraph();
|
|
|
|
tim::vx::ShapeType i_shape({4, 4, 4, 1});
|
|
tim::vx::ShapeType o_shape({2, 2, 16, 1});
|
|
tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32,
|
|
i_shape, tim::vx::TensorAttribute::INPUT);
|
|
tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32,
|
|
o_shape, tim::vx::TensorAttribute::OUTPUT);
|
|
|
|
auto input_tensor = graph->CreateTensor(input_spec);
|
|
auto output_tensor = graph->CreateTensor(output_spec);
|
|
|
|
std::vector<float> in_data = {
|
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
|
|
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
|
|
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16,
|
|
17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
|
|
};
|
|
std::vector<float> golden = {
|
|
0, 2, 4, 6, 16, 18, 20, 22, 0, 2, 4, 6, 16, 18, 20, 22,
|
|
1, 3, 5, 7, 17, 19, 21, 23, 1, 3, 5, 7, 17, 19, 21, 23,
|
|
8, 10, 12, 14, 24, 26, 28, 30, 8, 10, 12, 14, 24, 26, 28, 30,
|
|
9, 11, 13, 15, 25, 27, 29, 31, 9, 11, 13, 15, 25, 27, 29, 31
|
|
};
|
|
|
|
EXPECT_TRUE(input_tensor->CopyDataToTensor(in_data.data(), in_data.size()*4));
|
|
|
|
auto op = graph->CreateOperation<tim::vx::ops::Reorg>(2);
|
|
(*op).BindInputs({input_tensor}).BindOutputs({output_tensor});
|
|
|
|
EXPECT_TRUE(graph->Compile());
|
|
EXPECT_TRUE(graph->Run());
|
|
std::vector<float> output(64, 0);
|
|
EXPECT_TRUE(output_tensor->CopyDataFromTensor(output.data()));
|
|
EXPECT_EQ(golden, output);
|
|
}
|
|
|