profiling

Complete guide to profiling and optimizing ML models with TensorBoard.

Skills
AI research
0

What it does and how to use it

A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/profiling && curl -fsSL https://doutorai.pt/data/lib/skills__profiling.md -o .claude/skills/profiling/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Performance Profiling Guide

Complete guide to profiling and optimizing ML models with TensorBoard.

## Table of Contents
- PyTorch Profiler
- TensorFlow Profiler
- GPU Utilization
- Memory Profiling
- Bottleneck Detection
- Optimization Strategies

## PyTorch Profiler

### Basic Profiling

```python
import torch
import torch.profiler as profiler

model = MyModel().cuda()
optimizer = torch.optim.Adam(model.parameters())

# Profile training loop
with profiler.profile(
    activities=[
        profiler.ProfilerActivity.CPU,
        profiler.ProfilerActivity.CUDA,
    ],
    on_trace_ready=torc

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