Feat/update triton

[pommedeterresautee]

Bug after update was related to order of annotations, one adding some info to be leveraged by the next.
Just reordered and updated dependency.

fix #71

waiting merge of #42 first, can still be reviewed.

[pommedeterresautee]

====================================================================================================== warnings summary =======================================================================================================
../../../home/geantvert/.local/share/virtualenvs/kernl/lib/python3.9/site-packages/onnxruntime/transformers/float16.py:78: 299 warnings
  /home/geantvert/.local/share/virtualenvs/kernl/lib/python3.9/site-packages/onnxruntime/transformers/models/gpt2/../../float16.py:78: DeprecationWarning: The binary mode of fromstring is deprecated, as it behaves surprisingly on unicode inputs. Use frombuffer instead
    float32_list = np.fromstring(tensor.raw_data, dtype="float32")

../../../home/geantvert/.local/share/virtualenvs/kernl/lib/python3.9/site-packages/onnxruntime/transformers/float16.py:82: 299 warnings
  /home/geantvert/.local/share/virtualenvs/kernl/lib/python3.9/site-packages/onnxruntime/transformers/models/gpt2/../../float16.py:82: DeprecationWarning: tostring() is deprecated. Use tobytes() instead.
    tensor.raw_data = float16_list.tostring()

test/test_debugger.py::test_matmul
  /mnt/workspace/kernl/test/test_debugger.py:171: 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:175: 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

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
================================================================================ 2270 passed, 280 skipped, 600 warnings in 4898.26s (1:21:38) =================================================================================