PyTorch: [MPS] [Inductor] Compute in float32 after casting to fp16/bf16 (#200559)

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Key Architectural Takeaway

Fixes #200545 Inductor for MPS kept fp16/bf16 cast results in half precision.

Executive Summary

Fixes #200545 Inductor for MPS kept fp16/bf16 cast results in half precision. With bf16 it fails to compile because metal abs has no bfloat overload (pretty weird ) Fix also includes one for fp16 x.half().log1p() returns 0 for small x , so we match CPU and CUDA and use float32 for fp16 as well. Pull Request resolved: #200559 Approved by: https://github.com/malfet

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