* fp4 related update, require_cu13
* Enhance CUDA type conversion handling and optimize dtype management
- Updated CUDA vectorized cast functions to ensure proper handling of float16, float32, bfloat16, and float8 conversions, adding checks for bit sizes.
- Refactored dtype conversion logic in `cuda_fp4.h` to utilize `cudaRoundZero` for improved accuracy in floating-point conversions.
- Introduced a new method in `KernelParam` to convert TVM DataType to TileLang dtype.
- Adjusted argument binding logic in `arg_binder.cc` to allow for better subtype matching based on total bit counts.
- Enhanced dtype handling in `dtypes.py` to accommodate new float4_e2m1fn types and ensure compatibility with PyTorch.
This update aims to improve type safety and conversion accuracy across the codebase.
* lint fix
* lint fix
* typo fix
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Co-authored-by: Zhiwen Mo <zm125@ic.ac.uk>
