Remove default_cuda_stream_priority from native code and deprecate it in Python

[mzient]

Category:

Refactoring (Redesign of existing code that doesn't affect functionality)

Description:

The argument default_cuda_stream_priority was not used for more than two years and there were no issues raised.
This PR removes it entirely, along with the old StreamPool (no longer used) and deprecates the argument in Python.
Related tests were also removed.

Additional information:

Affected modules and functionalities:

Key points relevant for the review:

Tests:

Tests REMOVED

• Existing tests apply
• New tests added
  • Python tests
  • GTests
  • Benchmark
  • Other
• N/A

Checklist

Documentation

• Existing documentation applies
• Documentation updated
  • Docstring
  • Doxygen
  • RST
  • Jupyter
  • Other
• N/A

DALI team only

Requirements

• Implements new requirements
• Affects existing requirements
• N/A

REQ IDs: N/A

JIRA TASK: N/A

[dali-automaton]

CI MESSAGE: [20615955]: BUILD STARTED

[dali-automaton]

CI MESSAGE: [20615955]: BUILD PASSED

[klecki]

Can you remove the lines 206/208 up to here?

int lowest_cuda_stream_priority = 0, highest_cuda_stream_priority = 0;
    // do it only for the GPU pipeline
    if (device_id != CPU_ONLY_DEVICE_ID) {
      CUDA_CALL(cudaDeviceGetStreamPriorityRange(&lowest_cuda_stream_priority,
                                                 &highest_cuda_stream_priority));
    }
    const auto min_priority_value =
        std::min(lowest_cuda_stream_priority, highest_cuda_stream_priority);
    const auto max_priority_value =
        std::max(lowest_cuda_stream_priority, highest_cuda_stream_priority);

I guess we don't need it anymore.

[mzient]

Follow up? max_num_streams (found only in native code) is also unused, so I'll remove it as well.