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// This file is part of OpenCV project.
// It is subject to the license terms in the LICENSE file found in the top-level directory
// of this distribution and at http://opencv.org/license.html.
#include "perf_precomp.hpp"
namespace opencv_test {
struct EinsumParams {
int inputSize;
int outputSize;
std::string equation;
std::vector<MatShape> einsumInpShapes;
EinsumParams(std::string equation_, std::vector<MatShape> einsumInpShapes_ = std::vector<MatShape>())
{
inputSize = einsumInpShapes_.size();
equation = equation_;
einsumInpShapes = einsumInpShapes_;
}
};
static inline void PrintTo(const EinsumParams& params, ::std::ostream* os) {
(*os) << "Equation=" << params.equation << " ";
(*os) << "InputShape={";
for(int i = 0; i < params.einsumInpShapes.size(); i++)
{
(*os) << "{";
for(int j = 0; j < params.einsumInpShapes[i].size(); j++)
{
(*os) << params.einsumInpShapes[i][j] << ((j < params.einsumInpShapes[i].size() - 1) ? ", " : "");
}
(*os) << ((i < params.einsumInpShapes.size() - 1) ? "}, " : "}");
}
(*os) << "}";
}
// test cases
static const EinsumParams testEinsumConfigs[] = {
// TODO: Add tests with one input after ellips merge
{"ij, jk -> ik", {{2, 3}, {3, 2}}},
{"ij, jk -> ik", {{20, 30}, {30, 20}}},
{"ij, jk -> ik", {{113, 127}, {127, 113}}},
{"imkj, injs -> imnks", {{1, 4, 7, 9}, {1, 5, 9, 8}}},
{"imkj, injs -> imnks", {{1, 4, 70, 90}, {1, 5, 90, 80}}},
{"imkj, injs -> imnks", {{1, 4, 73, 91}, {1, 5, 91, 57}}},
{"ij -> i", {{30, 40}}},
{"ij -> i", {{113, 374}}},
{"...ij -> ...i", {{30, 40}}},
{"...ij -> ...i", {{113, 374}}},
{"...ij, ...jk -> ...ik", {{40, 50}, {50, 80}}},
{"...ij, ...jk -> ...ik", {{47, 51}, {51, 83}}},
};
class Layer_Einsum: public TestBaseWithParam<EinsumParams> {};
PERF_TEST_P_(Layer_Einsum, einsum) {
const EinsumParams& params = GetParam();
LayerParams lp;
lp.type = "Einsum";
lp.name = "testEinsum";
lp.set("equation", params.equation);
lp.set("inputSize", params.inputSize);
lp.set("outputSize", 1);
CV_CheckFalse(params.einsumInpShapes.empty(), "ERROR no inputs shapes provided");
for (int i = 0; i < params.einsumInpShapes.size(); i++) {
lp.set("inputShapes" + cv::format("%d", i), DictValue::arrayInt(params.einsumInpShapes[i].begin(), params.einsumInpShapes[i].size()));
}
Net net;
std::vector<Mat> inputs;
std::vector<std::string> input_names;
int id = net.addLayer(lp.name, lp.type, lp);
for (int i = 0; i < params.inputSize; ++i) {
// create inputs
inputs.emplace_back(Mat(params.einsumInpShapes[i].size(), params.einsumInpShapes[i].data(), CV_32FC1));
// connect each input to the layer
net.connect(0, i, id, i);
// create input names dynamically, assuming input naming follows a consistent pattern
input_names.emplace_back("input" + std::to_string(i + 1));
}
//warm up
std::vector<Mat> outputs;
net.setInputsNames(input_names);
for (int i = 0; i < input_names.size(); i++){
net.setInput(inputs[i], input_names[i]);
}
net.forward(outputs, "testEinsum");
TEST_CYCLE()
{
net.forward(outputs, "testEinsum");
}
SANITY_CHECK_NOTHING();
}
INSTANTIATE_TEST_CASE_P(/**/, Layer_Einsum, testing::ValuesIn(testEinsumConfigs));
}; //namespace
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