ToolsHugging Face· Jun 11, 2026
PyTorch Profiling Part 2: From nn.Linear to Fused MLP
A technical post examines profiling methods in PyTorch as part two of a series. It covers the shift from standard linear layers to fused multi-layer perceptrons for performance gains. The discussion highlights optimization approaches relevant to neural network efficiency.
Key points
- →Continues PyTorch profiling tutorial series
- →Compares nn.Linear layers with fused MLP implementations
- →Focuses on performance measurement techniques
Mentioned
PyTorch
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