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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 "vart/zero_copy_helper.hpp"
#include "xir/graph/graph.hpp"
using namespace std;
static std::string to_string(const std::vector<size_t>& v) {
std::ostringstream str;
str << "[";
int c = 0;
for (auto& x : v) {
if (c++ != 0) {
str << ",";
}
str << x;
}
str << "]";
return str.str();
}
int main(int argc, char* argv[]) {
auto graph = xir::Graph::deserialize(argv[1]);
auto root = graph->get_root_subgraph();
xir::Subgraph* s = nullptr;
for (auto c : root->get_children()) {
if (c->get_attr<std::string>("device") == "DPU") {
s = c;
break;
}
}
auto input_tensor_buffer_size = vart::get_input_buffer_size(s);
auto input_offset = vart::get_input_offset(s);
auto output_tensor_buffer_size = vart::get_output_buffer_size(s);
auto output_offset = vart::get_output_offset(s);
LOG(INFO) << "input_tensor_buffer_size " << input_tensor_buffer_size
<< " " //
<< "input offset " << to_string(input_offset) << " " //
<< "output_tensor_buffer_size " << output_tensor_buffer_size
<< " " //
<< "output offset " << to_string(output_offset) << " " //
;
return 0;
}
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