[wip] Move CUDA encoding into GpuEncoder

[Dan-Flores]

No description provided.

[pytorch-bot]

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/meta-pytorch/torchcodec/1214

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❌ 8 New Failures, 1 Pending

As of commit 1c2f875 with merge base 4d39c48 ():

NEW FAILURES - The following jobs have failed:

• Build and test Linux CUDA wheels and docs / install-and-test (3.10, 12.6, 4.4.2) (gh)
  Process completed with exit code 139.
• Build and test Linux CUDA wheels and docs / install-and-test (3.10, 12.6, 6) (gh)
  Process completed with exit code 139.
• Build and test Linux CUDA wheels and docs / install-and-test (3.10, 12.6, 7) (gh)
  Process completed with exit code 139.
• Build and test Linux CUDA wheels and docs / install-and-test (3.10, 12.6, 8.0) (gh)
  Process completed with exit code 139.
• Build and test Linux CUDA wheels and docs / install-and-test (3.10, 13.0, 4.4.2) (gh)
  Process completed with exit code 139.
• Build and test Linux CUDA wheels and docs / install-and-test (3.10, 13.0, 6) (gh)
  Process completed with exit code 139.
• Build and test Linux CUDA wheels and docs / install-and-test (3.10, 13.0, 7) (gh)
  Process completed with exit code 139.
• Build and test Linux CUDA wheels and docs / install-and-test (3.10, 13.0, 8.0) (gh)
  Process completed with exit code 139.

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[Dan-Flores]

As I was reviewing this, I recall this is why the initial GpuEncoder approach was abandoned. The DeviceInterface abstraction cleanly separates CUDA headers without using #ifdef