What are TensorFlow benchmarks and how can I use them?
TensorFlow benchmarks are standardized tests to evaluate the performance of TensorFlow models on various hardware. You can use them to compare different setups.
How do I run these benchmarks on my machine?
You can run TensorFlow benchmarks by cloning the TensorFlow repository and using the benchmark scripts provided in the 'benchmarks' directory.
What metrics should I look for in the benchmarks?
Key metrics include throughput, latency, and resource utilization. These will help you understand how well your model performs.
Can I customize the benchmarks for my specific model?
Yes, you can modify the benchmark scripts to include your model and adjust parameters to fit your testing needs.
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