fix: torchtrtc precision setting logic

[yeetypete]

Description

Ensures that torchtrtc precision settings do not always contain a default fp32 precision when the precision is explicitly passed as an argument. This is particularly important when compiling a model to run on the DLA which does not allow fp32 precision. Currently this must not have been possible to do with the torchtrtc cli.

Bug example:

torchtrtc ssd_traced.jit.pt ssd_trt_dla.ts "(1,3,300,300)@f16%contiguous" -p fp16 --device-type=dla -v
...
INFO: Settings requested for TensorRT engine:
    Enabled Precisions: Float32 Float16
    TF32 Floating Point Computation Enabled: 1
    Truncate Long and Double: 0
    Make Refittable Engine: 0
    Debuggable Engine: 0
    GPU ID: 0
    Allow GPU Fallback (if running on DLA): 0
    Avg Timing Iterations: 1
    Max Workspace Size: 0
    DLA SRAM Size: 1048576
    DLA Local DRAM Size: 1073741824
    DLA Global DRAM Size: 536870912
    Device Type: DLA
    GPU ID: 0
    DLACore: 0
    Engine Capability: standard
    Calibrator Created: 0

This should only report Float16 enabled precision.

Type of change

Please delete options that are not relevant and/or add your own.

• Bug fix (non-breaking change which fixes an issue)

Checklist:

• My code follows the style guidelines of this project (You can use the linters)
• I have performed a self-review of my own code
• I have commented my code, particularly in hard-to-understand areas and hacks
• I have made corresponding changes to the documentation
• I have added tests to verify my fix or my feature
• New and existing unit tests pass locally with my changes
• I have added the relevant labels to my PR in so that relevant reviewers are notified

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