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* Fix: Correctly specify non-zero GPUs in multi-GPU environments

This commit resolves an issue where the Nunchaku model could not be
correctly initialized and run on a user-specified non-zero GPU in
multi-GPU systems.

Key changes include:
- Using CUDADeviceContext in the FluxModel constructor to ensure
  the model and its submodules are created within the specified GPU context.
- Modifying the logic in FluxModel::forward for copying residual data
  from CPU back to GPU, ensuring it returns to the correct original GPU device.
- Adding explicit CUDA context management in Tensor::copy_ for data
  copy operations involving CUDA devices (H2D, D2H, D2D) to guarantee
  cudaMemcpyAsync executes on the correct device.

These changes allow users to reliably run Nunchaku on any specified
GPU in a multi-GPU setup.

* finish pre-commit

* style: reformated codes

* style: reformated codes

Co-authored-by: Zhekai Zhang <sxtyzhangzk@gmail.com>
Co-authored-by: Muyang Li <lmxyy1999@foxmail.com>
Co-authored-by: Yujun Lin <16437040+synxlin@users.noreply.github.com>

Finalizing deepcompressor migration