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Added a case for fc 

Signed-off-by: Chen Xin <jack.chen@verisilicon.com>
This commit is contained in:
Chen Xin 2022-12-27 16:59:57 +08:00 committed by Sven
parent c1f8a959af
commit aa0b474c19
1 changed files with 76 additions and 0 deletions
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src/tim/vx/ops/fullyconnected_test.cc Normal file
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/****************************************************************************
*
* Copyright (c) 2022 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/fullyconnected.h"
#include <iostream>
#include "gtest/gtest.h"
#include "test_utils.h"
TEST(FullyConnected, unit_2_float_axis_0) {
auto ctx = tim::vx::Context::Create();
auto graph = ctx->CreateGraph();
tim::vx::ShapeType in_shape({2, 2});
tim::vx::ShapeType weight_shape({2, 3});
tim::vx::ShapeType bias_shape({3});
tim::vx::ShapeType out_shape({3, 2});
tim::vx::TensorSpec input_spec(tim::vx::DataType::FLOAT32, in_shape,
tim::vx::TensorAttribute::INPUT);
tim::vx::TensorSpec weight_spec(tim::vx::DataType::FLOAT32, weight_shape,
tim::vx::TensorAttribute::CONSTANT);
tim::vx::TensorSpec bias_spec(tim::vx::DataType::FLOAT32, bias_shape,
tim::vx::TensorAttribute::CONSTANT);
tim::vx::TensorSpec output_spec(tim::vx::DataType::FLOAT32, out_shape,
tim::vx::TensorAttribute::OUTPUT);
std::vector<float> in_data = {
1,4,2,6,
};
std::vector<float> weight = {
-3,3,2,1,0,4,
};
std::vector<float> bias = {
0.1, 0.4, 0.6,
};
std::vector<float> golden = {
9.1, 6.4, 16.6, 12.1, 10.4, 24.6,
};
auto input_tensor = graph->CreateTensor(input_spec);
auto weight_tensor = graph->CreateTensor(weight_spec, weight.data());
auto bias_tensor = graph->CreateTensor(bias_spec, bias.data());
auto output_tensor = graph->CreateTensor(output_spec);
EXPECT_TRUE(
input_tensor->CopyDataToTensor(in_data.data(), in_data.size() * 4));
auto op = graph->CreateOperation<tim::vx::ops::FullyConnected>(0, 3);
(*op).BindInputs({input_tensor, weight_tensor, bias_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);
}