feat: add ort benchmark script in xp folder

[pommedeterresautee]

fix #115

[pommedeterresautee]

test pass

=========================================================================================================== warnings summary ===========================================================================================================
conftest.py:41
  /mnt/workspace/kernl/conftest.py:41: PytestDeprecationWarning: The hookimpl pytest_configure uses old-style configuration options (marks or attributes).
  Please use the pytest.hookimpl(trylast=True) decorator instead
   to configure the hooks.
   See https://docs.pytest.org/en/latest/deprecations.html#configuring-hook-specs-impls-using-markers
    @pytest.mark.trylast

test/test_debugger.py::test_matmul
  /mnt/workspace/kernl/test/test_debugger.py:172: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
    group_id = pid // num_pid_in_group

test/test_debugger.py::test_matmul
  /mnt/workspace/kernl/test/test_debugger.py:176: UserWarning: __floordiv__ is deprecated, and its behavior will change in a future version of pytorch. It currently rounds toward 0 (like the 'trunc' function NOT 'floor'). This results in incorrect rounding for negative values. To keep the current behavior, use torch.div(a, b, rounding_mode='trunc'), or for actual floor division, use torch.div(a, b, rounding_mode='floor').
    pid_n = (pid % num_pid_in_group) // group_size_m

test/test_torchdynamo.py::test_t5
  /home/geantvert/.local/share/virtualenvs/kernl/lib/python3.9/site-packages/transformers/models/t5/tokenization_t5_fast.py:156: FutureWarning: This tokenizer was incorrectly instantiated with a model max length of 512 which will be corrected in Transformers v5.
  For now, this behavior is kept to avoid breaking backwards compatibility when padding/encoding with `truncation is True`.
  - Be aware that you SHOULD NOT rely on t5-small automatically truncating your input to 512 when padding/encoding.
  - If you want to encode/pad to sequences longer than 512 you can either instantiate this tokenizer with `model_max_length` or pass `max_length` when encoding/padding.
  - To avoid this warning, please instantiate this tokenizer with `model_max_length` set to your preferred value.
    warnings.warn(

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
====================================================================================== 2461 passed, 356 skipped, 4 warnings in 7015.64s (1:56:55) ======================================================================================