Walkthrough

The changes modify the initialization of the Adam optimizer in the warm_up_linear function by conditionally setting the fused parameter based on the device type. Now, if the device is a CPU, the optimizer is initialized with fused=False; otherwise, fused=True is applied. Additionally, the formatting of the initialization parameters has been improved for better readability while leaving the core functionality unchanged.

Changes

Sequence Diagram(s)

sequenceDiagram
    participant Trainer as warm_up_linear()
    participant Device as Device Checker
    participant Optimizer as torch.optim.Adam
    Trainer->>Device: Check device type
    Device-->>Trainer: Return "cpu" or "gpu/other"
    alt If device is CPU
      Trainer->>Optimizer: Initialize Adam(fused=False, …)
    else Otherwise
      Trainer->>Optimizer: Initialize Adam(fused=True, …)
    end

Assessment against linked issues

Possibly related PRs

• Perf: use fused Adam optimizer #4463: Modifies the optimizer's fused parameter initialization, presenting a direct code-level relation to the changes in this PR.

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