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/**
* Copyright (c) 2016-present, Facebook, 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.
*/
// This script converts the MNIST dataset to leveldb.
// The MNIST dataset could be downloaded at
// http://yann.lecun.com/exdb/mnist/
#include <fstream> // NOLINT(readability/streams)
#include <string>
#include "caffe2/core/common.h"
#include "caffe2/core/db.h"
#include "caffe2/core/init.h"
#include "caffe2/proto/caffe2_pb.h"
#include "caffe2/core/logging.h"
C10_DEFINE_string(image_file, "", "The input image file name.");
C10_DEFINE_string(label_file, "", "The label file name.");
C10_DEFINE_string(output_file, "", "The output db name.");
C10_DEFINE_string(db, "leveldb", "The db type.");
C10_DEFINE_int(
data_limit,
-1,
"If set, only output this number of data points.");
C10_DEFINE_bool(
channel_first,
false,
"If set, write the data as channel-first (CHW order) as the old "
"Caffe does.");
namespace caffe2 {
uint32_t swap_endian(uint32_t val) {
val = ((val << 8) & 0xFF00FF00) | ((val >> 8) & 0xFF00FF);
return (val << 16) | (val >> 16);
}
void convert_dataset(const char* image_filename, const char* label_filename,
const char* db_path, const int data_limit) {
// Open files
std::ifstream image_file(image_filename, std::ios::in | std::ios::binary);
std::ifstream label_file(label_filename, std::ios::in | std::ios::binary);
CAFFE_ENFORCE(image_file, "Unable to open file ", image_filename);
CAFFE_ENFORCE(label_file, "Unable to open file ", label_filename);
// Read the magic and the meta data
uint32_t magic;
uint32_t num_items;
uint32_t num_labels;
uint32_t rows;
uint32_t cols;
image_file.read(reinterpret_cast<char*>(&magic), 4);
magic = swap_endian(magic);
if (magic == 529205256) {
LOG(FATAL) <<
"It seems that you forgot to unzip the mnist dataset. You should "
"first unzip them using e.g. gunzip on Linux.";
}
CAFFE_ENFORCE_EQ(magic, 2051, "Incorrect image file magic.");
label_file.read(reinterpret_cast<char*>(&magic), 4);
magic = swap_endian(magic);
CAFFE_ENFORCE_EQ(magic, 2049, "Incorrect label file magic.");
image_file.read(reinterpret_cast<char*>(&num_items), 4);
num_items = swap_endian(num_items);
label_file.read(reinterpret_cast<char*>(&num_labels), 4);
num_labels = swap_endian(num_labels);
CAFFE_ENFORCE_EQ(num_items, num_labels);
image_file.read(reinterpret_cast<char*>(&rows), 4);
rows = swap_endian(rows);
image_file.read(reinterpret_cast<char*>(&cols), 4);
cols = swap_endian(cols);
// leveldb
std::unique_ptr<db::DB> mnist_db(db::CreateDB(FLAGS_db, db_path, db::NEW));
std::unique_ptr<db::Transaction> transaction(mnist_db->NewTransaction());
// Storing to db
char label_value;
std::vector<char> pixels(rows * cols);
int count = 0;
const int kMaxKeyLength = 10;
char key_cstr[kMaxKeyLength];
string value;
TensorProtos protos;
TensorProto* data = protos.add_protos();
TensorProto* label = protos.add_protos();
data->set_data_type(TensorProto::BYTE);
if (FLAGS_channel_first) {
data->add_dims(1);
data->add_dims(rows);
data->add_dims(cols);
} else {
data->add_dims(rows);
data->add_dims(cols);
data->add_dims(1);
}
label->set_data_type(TensorProto::INT32);
label->add_int32_data(0);
LOG(INFO) << "A total of " << num_items << " items.";
LOG(INFO) << "Rows: " << rows << " Cols: " << cols;
for (int item_id = 0; item_id < num_items; ++item_id) {
image_file.read(pixels.data(), rows * cols);
label_file.read(&label_value, 1);
for (int i = 0; i < rows * cols; ++i) {
data->set_byte_data(pixels.data(), rows * cols);
}
label->set_int32_data(0, static_cast<int>(label_value));
snprintf(key_cstr, kMaxKeyLength, "%08d", item_id);
protos.SerializeToString(&value);
string keystr(key_cstr);
// Put in db
transaction->Put(keystr, value);
if (++count % 1000 == 0) {
transaction->Commit();
}
if (data_limit > 0 && count == data_limit) {
LOG(INFO) << "Reached data limit of " << data_limit << ", stop.";
break;
}
}
}
} // namespace caffe2
int main(int argc, char** argv) {
caffe2::GlobalInit(&argc, &argv);
caffe2::convert_dataset(
FLAGS_image_file.c_str(),
FLAGS_label_file.c_str(),
FLAGS_output_file.c_str(),
FLAGS_data_limit);
return 0;
}
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