Add number_of_streams binding to MultiDeviceExecutor

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Greptile Overview

Greptile Summary

Exposes the number_of_streams parameter from the C++ HostIrEvaluatorParams struct to Python through a new property binding on MultiDeviceExecutorParams.

The changes:

• Add getter/setter property binding for number_of_streams that accesses self.executor.number_of_streams
• Uses int64_t type matching the C++ implementation
• Follows the same pattern as the existing use_allocation_cache property

This parameter controls the number of CUDA streams used for communication/computation pipelining in multi-device execution, defaulting to 4 in the C++ code.

Confidence Score: 5/5

• This PR is safe to merge with no risk
• The change is a straightforward Python binding addition that follows the exact same pattern as the existing use_allocation_cache property. The underlying C++ field exists and is properly typed as int64_t. No logic changes, no new functionality, just exposing an existing parameter to Python.
• No files require special attention

Important Files Changed

Filename	Overview
python/python_direct/multidevice.cpp	Added Python binding for number_of_streams parameter to control CUDA stream count for compute/communication pipelining

Sequence Diagram

sequenceDiagram
    participant Python as Python Code
    participant Binding as multidevice.cpp
    participant Params as MultiDeviceExecutorParams
    participant Executor as HostIrEvaluatorParams
    
    Note over Python,Executor: Setting number_of_streams
    Python->>Binding: params.number_of_streams = value
    Binding->>Params: Access self.executor
    Params->>Executor: Set number_of_streams field
    
    Note over Python,Executor: Getting number_of_streams
    Python->>Binding: value = params.number_of_streams
    Binding->>Params: Access self.executor
    Params->>Executor: Read number_of_streams field
    Executor-->>Binding: Return int64_t value
    Binding-->>Python: Return value

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