mirror of
https://github.com/zebrajr/pytorch.git
synced 2025-12-07 00:21:07 +01:00
Summary: Overal context: open-source BlackBoxPredictor as the entry point for inference in Caffe2 (thread safe abstraction for Caffe2 inference). This should be used in ThroughputBenchmark for the purpose of framework comparison This specific diff: There should be no harm in moving transformation code to OSS. On the advantages side we will be able to compare production Caffe2 setup with PyTorch in the most fair way via ThroughputBenchmark. This approach avoid any complicated transformation regirstries. Building those proper would be significant engineering effort as well as production risk. In the past we had SEVs related to transforms being turned off due to various refactors. Given that we don't plan to build any other significant investments into transformation logic except existing ones (like TVM and Glow), and those also relate to open-source technologies, I came up to the conclusion of moving to OSS the whole thing. Reviewed By: bertmaher Differential Revision: D16367134 fbshipit-source-id: fc6bacc1be3ff6336beb57cdad58168d3a2b8c28
60 lines
1.4 KiB
C++
60 lines
1.4 KiB
C++
#pragma once
|
|
|
|
#include <algorithm>
|
|
#include <memory>
|
|
#include <string>
|
|
#include <vector>
|
|
|
|
#include "caffe2/core/common.h"
|
|
#include "caffe2/core/types.h"
|
|
|
|
namespace caffe2 {
|
|
|
|
CAFFE2_API std::vector<std::string>
|
|
split(char separator, const std::string& string, bool ignore_empty = false);
|
|
|
|
CAFFE2_API std::string trim(const std::string& str);
|
|
|
|
CAFFE2_API size_t editDistance(
|
|
const std::string& s1, const std::string& s2, size_t max_distance = 0);
|
|
|
|
CAFFE2_API inline bool StartsWith(const std::string& str, const std::string& prefix) {
|
|
return std::mismatch(prefix.begin(), prefix.end(), str.begin()).first ==
|
|
prefix.end();
|
|
}
|
|
|
|
CAFFE2_API inline bool EndsWith(
|
|
const std::string& full,
|
|
const std::string& ending) {
|
|
if (full.length() >= ending.length()) {
|
|
return (
|
|
0 ==
|
|
full.compare(full.length() - ending.length(), ending.length(), ending));
|
|
} else {
|
|
return false;
|
|
}
|
|
}
|
|
|
|
CAFFE2_API inline int32_t GetDimFromOrderString(const std::string& str) {
|
|
auto order = StringToStorageOrder(str);
|
|
switch (order) {
|
|
case StorageOrder::NHWC:
|
|
return 3;
|
|
case StorageOrder::NCHW:
|
|
return 1;
|
|
default:
|
|
CAFFE_THROW("Unsupported storage order: ", str);
|
|
return -1;
|
|
}
|
|
}
|
|
|
|
CAFFE2_API int32_t editDistanceHelper(const char* s1,
|
|
size_t s1_len,
|
|
const char* s2,
|
|
size_t s2_len,
|
|
std::vector<size_t> ¤t,
|
|
std::vector<size_t> &previous,
|
|
std::vector<size_t> &previous1,
|
|
size_t max_distance);
|
|
} // namespace caffe2
|