blob: 6b4c969665ce174142fd3cd65fbcbde8d224a62a [file] [log] [blame]
#include <cstdio>
#include <string>
#include <array>
#include <gtest/gtest.h>
#include "caffe2/serialize/inline_container.h"
namespace caffe2 {
namespace serialize {
namespace {
TEST(PyTorchStreamWriterAndReader, SaveAndLoad) {
int64_t kFieldAlignment = 64L;
std::ostringstream oss;
// write records through writers
PyTorchStreamWriter writer(&oss);
std::array<char, 127> data1;
for (int i = 0; i < data1.size(); ++i) {
data1[i] = data1.size() - i;
}
writer.writeRecord("key1", data1.data(), data1.size());
std::array<char, 64> data2;
for (int i = 0; i < data2.size(); ++i) {
data2[i] = data2.size() - i;
}
writer.writeRecord("key2", data2.data(), data2.size());
writer.writeEndOfFile();
std::string the_file = oss.str();
std::ofstream foo("output.zip");
foo.write(the_file.c_str(), the_file.size());
foo.close();
std::istringstream iss(the_file);
// read records through readers
PyTorchStreamReader reader(&iss);
at::DataPtr data_ptr;
int64_t size;
std::tie(data_ptr, size) = reader.getRecord("key1");
size_t off1 = reader.getRecordOffset("key1");
ASSERT_EQ(size, data1.size());
ASSERT_EQ(memcmp(data_ptr.get(), data1.data(), data1.size()), 0);
ASSERT_EQ(memcmp(the_file.c_str() + off1, data1.data(), data1.size()), 0);
ASSERT_EQ(off1 % kFieldAlignment, 0);
std::tie(data_ptr, size) = reader.getRecord("key2");
size_t off2 = reader.getRecordOffset("key2");
ASSERT_EQ(off2 % kFieldAlignment, 0);
ASSERT_EQ(size, data2.size());
ASSERT_EQ(memcmp(data_ptr.get(), data2.data(), data2.size()), 0);
ASSERT_EQ(memcmp(the_file.c_str() + off2, data2.data(), data2.size()), 0);
}
} // namespace
} // namespace serialize
} // namespace caffe2