Sit4onnx

What's Changed
* add enable_profiling by fateshelled in https://github.com/PINTO0309/sit4onnx/pull/3

New Contributors
* fateshelled made their first contribution in https://github.com/PINTO0309/sit4onnx/pull/3

**Full Changelog**: https://github.com/PINTO0309/sit4onnx/compare/1.0.7...1.0.8

- Increased supported data types
python
ONNX_DTYPES_TO_NUMPY_DTYPES: dict = {
f'{onnx.TensorProto.FLOAT16}': np.float16,
f'{onnx.TensorProto.FLOAT}': np.float32,
f'{onnx.TensorProto.DOUBLE}': np.float64,
f'{onnx.TensorProto.UINT8}': np.uint8,
f'{onnx.TensorProto.UINT16}': np.uint16,
f'{onnx.TensorProto.UINT32}': np.uint32,
f'{onnx.TensorProto.UINT64}': np.uint64,
f'{onnx.TensorProto.INT8}': np.int8,
f'{onnx.TensorProto.INT16}': np.int16,
f'{onnx.TensorProto.INT32}': np.int32,
f'{onnx.TensorProto.INT64}': np.int64,
}


What's Changed
* Increased supported data types by PINTO0309 in https://github.com/PINTO0309/sit4onnx/pull/2


**Full Changelog**: https://github.com/PINTO0309/sit4onnx/compare/1.0.6...1.0.7

- Added `intra_op_num_threads` option

-iont, --intra_op_num_threads INTRA_OP_NUM_THREADS
Sets the number of threads used to parallelize the execution within nodes.
Default is 0 to let onnxruntime choose.


**Full Changelog**: https://github.com/PINTO0309/sit4onnx/compare/1.0.5...1.0.6

- Support for `SequenceConstruct`

INFO: file: yolopv2_192x320_test.onnx
INFO: providers: ['CUDAExecutionProvider', 'CPUExecutionProvider']
INFO: input_name.1: input shape: [1, 3, 192, 320] dtype: float32
INFO: test_loop_count: 10
INFO: total elapsed time: 76.85065269470215 ms
INFO: avg elapsed time per pred: 7.685065269470215 ms
INFO: output_name.1-0: pred-0 shape: [1, 255, 24, 40] dtype: float32
INFO: output_name.1-1: pred-1 shape: [1, 255, 12, 20] dtype: float32
INFO: output_name.1-2: pred-2 shape: [1, 255, 6, 10] dtype: float32
INFO: output_name.2: anchor_grid0 shape: [1, 3, 1, 1, 2] dtype: float32
INFO: output_name.3: anchor_grid1 shape: [1, 3, 1, 1, 2] dtype: float32
INFO: output_name.4: anchor_grid2 shape: [1, 3, 1, 1, 2] dtype: float32
INFO: output_name.5: seg shape: [1, 2, 192, 320] dtype: float32
INFO: output_name.6: ll shape: [1, 1, 192, 320] dtype: float32

- Add short form

usage:
sit4onnx [-h]
-if INPUT_ONNX_FILE_PATH
[-b BATCH_SIZE]
[-fs DIM0 [DIM1 DIM2 ...]]
[-tlc TEST_LOOP_COUNT]
[-oep {tensorrt,cuda,openvino_cpu,openvino_gpu,cpu}]
[-ifp INPUT_NUMPY_FILE_PATHS_FOR_TESTING]
[-ofp]
[-n]

- Security update
- README update

- Allow static fixed shapes to be specified when dimensions other than batch size are undefined.
- Bug fixes.