### Description
This PR adds two new libfuzzer in fuzzer project.
1. Binary libfuzzer
2. libprotobuf-fuzzer
To compile run below cmd on linux:
```
LLVM_PROFILE_FILE="%p.profraw" CFLAGS="-g -fsanitize=address,fuzzer-no-link -shared-libasan -fprofile-instr-generate -fcoverage-mapping" CXXFLAGS="-g -shared-libasan -fsanitize=address,fuzzer-no-link -fprofile-instr-generate -fcoverage-mapping" CC=clang CXX=clang++ ./build.sh --update --build --config Debug --compile_no_warning_as_error --build_shared_lib --skip_submodule_sync --use_full_protobuf --parallel --fuzz_testing --build_dir build/
```
Run fuzzer:
```
LD_PRELOAD=$(clang -print-file-name=libclang_rt.asan-x86_64.so) build/Debug/onnxruntime_libfuzzer_fuzz testinput -rss_limit_mb=8196 -max_total_time=472800 -fork=2 -jobs=4 -workers=4 -ignore_crashes=1 -max_len=2097152 2>&1 | grep -v "\[libprotobuf ERROR"
```
### Motivation and Context
The existing custom fuzzer is not coverage guided and it's slow and it
will work on one model mutation at a time. The new fuzzers are coverage
guided, and we can use more models' files as a corpus to increase the
coverage.
### Description
Added some change in fuzzer project code to support linux also.
How to test on linux:
1. Make sure you have installed clang/llvm.
2. run below command to build asan instrumented project:
```
CFLAGS="-g -fsanitize=address -shared-libasan -fprofile-instr-generate -fcoverage-mapping" CXXFLAGS="-g -shared-libasan -fsanitize=address -fprofile-instr-generate -fcoverage-mapping" CC=clang CXX=clang++ ./build.sh --update --build --config Debug --compile_no_warning_as_error --build_shared_lib --skip_submodule_sync --skip_tests --use_full_protobuf --parallel --fuzz_testing --build_dir build/
```
3. run fuzzer for some time, it will generate *.profraw file:
```
LLVM_PROFILE_FILE="%p.profraw" ./build/Debug/onnxruntime_security_fuzz /t /v onnxruntime/test/testdata/bart_tiny.onnx 1 m
```
4. Get the cov by running below cmd:
```
llvm-profdata merge -sparse *.profraw -o default.profdata
llvm-cov report ./build/Debug/onnxruntime_security_fuzz -instr-profile=default.profdata
```
<img width="1566" alt="Screenshot 2024-09-05 at 4 25 08 PM"
src="https://github.com/user-attachments/assets/2aa0bb83-6634-4d33-b026-3535e97df431">
### Motivation and Context
1. Currently fuzzer only supports windows and MSVC, we can't generate
the code coverage using MSVC. With clang/llvm we can try and use clang
instrumentation and llvm tools like llvm-cov.
2. In future we can add coverage guided fuzzer (libfuzzer) in same
project. (Working on it)
1. Merge Nuget CPU pipeline, Java CPU pipeline, C-API pipeline into a single one.
2. Enable compile warnings for cuda files(*.cu) on Windows.
3. Enable static code analyze for the Windows builds in these jobs. For example, this is our first time scanning the JNI code.
4. Fix some warnings in the training code.
5. Enable code sign for Java. Previously we forgot it.
6. Update TPN.txt to remove Jemalloc.
* Add protobuf mutator library as a git submodule
* Added files and instructions to build the protobuf mutator library in CMake
* Added fuzzing flag to build system and added fuzzing dependency library. To run fuzzing test use the flags --fuzz_testing --build_shared_lib --use_full_protobuf --cmake_generator 'Visual Studio 16 2019'
* Added src files and build instructions for the main fuzzing engine
* Removed Random number generation test from inside the engine
* Added license header to files
* Removed all pep8 violations introduced by this change and other E501 violations
