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fix: Correctly map numpy dtypes to torch dtypes in TorchWrapper
pPXF Benchmarks
#14:
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fix: Robust dtype mapping using np.dtype in TorchWrapper
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chore: Enable debug prints and fix diagnostic script
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chore: Add diagnostic to verify_gpu_fallback
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chore: Add debug prints for dtype mismatch investigation
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fix: Add CUDA device detection to TorchWrapper
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fix: Ensure float64 default for arange/linspace in TorchWrapper
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fix: Default to float64 in TorchWrapper for CPU compatibility
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fix: Add capfit dependency to pyproject.toml
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fix: Configure setuptools for flat layout package discovery
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feat: Add pyproject.toml for package installation
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fix: Quote YAML step name to fix syntax error
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fix: Robust CPU fallback for benchmarks in CI
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feat: Add GitHub Actions workflow for benchmarks
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