Parsing and loading any format file support by Genuis Project Current file format support
- MNN format
- TODO: Add more format file
Signleton pattern is apply for all Loader/Parser
---
title: FileLoader
---
classDiagram
FileLoader <|-- MNNLoader
FileLoader <|-- IPFSLoader
FileLoader: +LoadFile()
class MNNLoader {
+LoadFile(e)
}
class IPFSLoader {
+LoadFile()
}
---
title: FileParser
---
classDiagram
FileParser <|-- MNNParser
FileParser <|-- IPFSParser
FileParser: +ParseData()
class MNNParser {
+ParseData()
}
class IPFSParser {
+ParseData()
}
---
title: FileManager
---
classDiagram
class FileManager {
+map<std::string, FileLoader*> loaders
+map<std::string, FileParser*> parsers
+map<std::string, FileSaver*> savers
+RegisterLoader(prefix, handlerLoader)
+RegisterParser(suffix, handlerParser)
+RegisterSaver(prefix, handlerSaver)
+LoadFile(filePath, isParse)
+ParseData(suffix, data)
+SaveFile(filePath, data)
}
- MNN: https://github.com/alibaba/MNN
- Google Test: https://github.com/google/googletest
This is build project alone.
$ mkdir .build
$ cd .build
$ cmake ..
$ make
Consolidate compiler generated dependencies of target fileloader
[ 57%] Built target MNN
[ 64%] Building CXX object CMakeFiles/fileloader.dir/src/MNNParser.cpp.o
[ 71%] Building CXX object CMakeFiles/fileloader.dir/src/MNNLoader.cpp.o
[ 85%] Built target fileloader
Consolidate compiler generated dependencies of target MNNExample
[ 92%] Building CXX object CMakeFiles/MNNExample.dir/MNNExample.cpp.o
[100%] Linking CXX executable MNNExample
[100%] Built target MNNExample
TODO: Need to update
TODO: Need to update
$ ./MNNExample 1.mnn
LoadFile: DEBUG: filePath: file://1.mnn -prefix: file: -filename: 1.mnn -suffix: .mnn -filepathname: file://1.mnn
LoadFile Parse: DEBUG: filePath: file://1.mnn -prefix: file: -filename: 1.mnn -suffix: .mnn -filepathname: file://1.mnn
The device support i8sdot:0, support fp16:0, support i8mm: 0
**Tensor shape**: 3, 320, 320,
Error for compute convolution shape, inputCount:3, outputCount:24, KH:3, KW:3, group:1
inputChannel: 320, batch:3, width:320, height:320. Input data channel may be mismatch with filter channel count
Compute Shape Error for 967
**Tensor shape**: 3, 320, 320,
**Tensor shape**: 1, 400, 80,
**Tensor shape**: 1, 100, 80,
**Tensor shape**: 1, 1600, 80,
**Tensor shape**: 1, 400, 4,
**Tensor shape**: 1, 100, 4,
**Tensor shape**: 1, 1600, 4,
==================INPUT-DIMS================
Dimension Type: (CAFE/PyTorch/ONNX) uses NCHW as data format
==================OUTPUT-DIMS================
Output : cls_pred_stride_16
Output : cls_pred_stride_32
Output : cls_pred_stride_8
Output : dis_pred_stride_16
Output : dis_pred_stride_32
Output : dis_pred_stride_8
=============================================
`U
ParseFile: SaveFile: Saving File... -> Inside the IPFSSaver::SaveFile Function