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/*
* Copyright 2019 Xilinx Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include <iostream>
#include <string>
#include <vector>
#include "UniLog/UniLog.hpp"
#include "xir/attrs/attrs.hpp"
#include "xir/graph/graph.hpp"
#include "xir/util/data_type.hpp"
int main(int, char* argv[]) {
UniLog::Initial(argv[0], UNI_LOG_STD, UNI_LOG_LEVEL_INFO,
UNI_LOG_STD_LEVEL_INFO);
auto g = xir::Graph::create("test");
g->set_attr<std::string>("test", "test");
UNI_LOG_CHECK(g->has_attr("test"), ERROR_SAMPLE);
UNI_LOG_INFO << g->get_attr<std::string>("test");
UNI_LOG_INFO << "Graph name: " << g->get_name();
auto w1 = g->add_op("conv1_w", "const", xir::Attrs::create(), {},
xir::DataType{"FLOAT32"});
UNI_LOG_INFO << "Add Op " << w1->get_name();
auto i = g->add_op("input_data", "data", xir::Attrs::create(), {},
xir::DataType{"FLOAT32"});
UNI_LOG_INFO << "Add Op " << i->get_name();
auto attrs = xir::Attrs::create();
attrs->set_attr<std::vector<int>>("kernel", {3, 3});
attrs->set_attr<std::vector<int>>("stride", {3, 3});
attrs->set_attr<int>("pad_mode", 0);
attrs->set_attr<std::vector<int>>("pad", {1, 1, 1, 1});
std::cout << attrs->debug_info() << std::endl;
auto c1 =
g->add_op("conv1", "conv2d", xir::Attrs::clone(attrs.get()),
{{"weights", {w1}}, {"input", {i}}}, xir::DataType{"FLOAT32"});
UNI_LOG_INFO << "Add Op " << c1->get_name();
auto w2 = g->add_op("conv2_w", "const", xir::Attrs::create(), {},
xir::DataType{"FLOAT32"});
UNI_LOG_INFO << "Add Op " << w2->get_name();
auto c2 =
g->add_op("conv2", "conv2d", xir::Attrs::clone(attrs.get()),
{{"weights", {w2}}, {"input", {c1}}}, xir::DataType{"FLOAT32"});
UNI_LOG_INFO << "Add Op " << c2->get_name();
auto topo = g->topological_sort();
for (auto op : topo) {
std::cout << op->get_name() << std::endl;
}
g->remove_op(c2);
g->visualize("test", "png");
auto o = g->get_op("conv1_w");
std::cout << "find " << o->get_name() << std::endl;
return 0;
}
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