mirror of
https://github.com/zebrajr/pytorch.git
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a918f1d9af
Summary: To implement a stream is very annoying, since it is closely defined with the underlying storage streambuffer. So in this PR, we add ReadAdapterInterface and PyTorchStreamReader will use it. We implement IStreamAdapter as a wrapper of std::istream. And keep the user interface unchanged. Pull Request resolved: https://github.com/pytorch/pytorch/pull/15551 Reviewed By: zrphercule Differential Revision: D13568907 Pulled By: houseroad fbshipit-source-id: 93708cb801248a6c101f35cb14d1631029365c3c
64 lines
1.7 KiB
C++
64 lines
1.7 KiB
C++
#include <cstdio>
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#include <string>
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#include <array>
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#include <gtest/gtest.h>
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#include "caffe2/serialize/inline_container.h"
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namespace caffe2 {
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namespace serialize {
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namespace {
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TEST(PyTorchStreamWriterAndReader, SaveAndLoad) {
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int64_t kFieldAlignment = 64L;
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std::ostringstream oss;
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// write records through writers
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PyTorchStreamWriter writer(&oss);
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std::array<char, 127> data1;
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for (int i = 0; i < data1.size(); ++i) {
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data1[i] = data1.size() - i;
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}
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writer.writeRecord("key1", data1.data(), data1.size());
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std::array<char, 64> data2;
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for (int i = 0; i < data2.size(); ++i) {
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data2[i] = data2.size() - i;
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}
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writer.writeRecord("key2", data2.data(), data2.size());
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writer.writeEndOfFile();
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std::string the_file = oss.str();
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std::ofstream foo("output.zip");
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foo.write(the_file.c_str(), the_file.size());
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foo.close();
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std::istringstream iss(the_file);
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// read records through readers
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PyTorchStreamReader reader(&iss);
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at::DataPtr data_ptr;
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int64_t size;
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std::tie(data_ptr, size) = reader.getRecord("key1");
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size_t off1 = reader.getRecordOffset("key1");
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ASSERT_EQ(size, data1.size());
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ASSERT_EQ(memcmp(data_ptr.get(), data1.data(), data1.size()), 0);
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ASSERT_EQ(memcmp(the_file.c_str() + off1, data1.data(), data1.size()), 0);
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ASSERT_EQ(off1 % kFieldAlignment, 0);
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std::tie(data_ptr, size) = reader.getRecord("key2");
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size_t off2 = reader.getRecordOffset("key2");
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ASSERT_EQ(off2 % kFieldAlignment, 0);
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ASSERT_EQ(size, data2.size());
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ASSERT_EQ(memcmp(data_ptr.get(), data2.data(), data2.size()), 0);
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ASSERT_EQ(memcmp(the_file.c_str() + off2, data2.data(), data2.size()), 0);
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}
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} // namespace
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} // namespace serialize
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} // namespace caffe2
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