mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-06 12:20:52 +01:00
af6eea9391
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/20040 Add the support of feature store example in fblearner pytorch predictor, end to end Reviewed By: dzhulgakov Differential Revision: D15177897 fbshipit-source-id: 0f6df8b064eb9844fc9ddae61e978d6574c22916
66 lines
1.8 KiB
C++
66 lines
1.8 KiB
C++
#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);
|
|
ASSERT_TRUE(reader.hasFile("key1"));
|
|
ASSERT_TRUE(reader.hasFile("key2"));
|
|
ASSERT_FALSE(reader.hasFile("key2000"));
|
|
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
|