PyTorch benchmark：pytorch
GPU Benchmarks for Deep Learning
https://lambdalabs.com
We use the opensource implementation in this repo to benchmark the inference lantency of YOLOv5 models across various types of GPUs and model format (PyTorch®, ...
LukasHedegaardpytorch
https://github.com
Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption - GitHub - LukasHedegaard/pytorch-benchmark: Easily ...
PyTorch 2 GPU Performance Benchmarks
https://www.aime.info
A benchmark based performance comparison of the new PyTorch 2 with the well established PyTorch 1. The benchmarks cover different areas of deep learning, ...
PyTorch Benchmark
https://pytorch.org
Steps · Defining functions to benchmark · Benchmarking with timeit.Timer · Benchmarking with torch.utils.benchmark.Timer · Benchmarking with Blocked Autorange.
Pytorch Benchmark笔记
https://findhao.net
TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance. 265Forks830Stars. GitHub的安装教程 ...
pytorchbenchmark
https://github.com
This is a collection of open source benchmarks used to evaluate PyTorch performance. torchbenchmark/models contains copies of popular or exemplary workloads ...
torch.utils.benchmark
https://pytorch.org
Benchmark Utils - torch.utils.benchmark · A small block size results in more replicates and generally better statistics. · A large block size better amortizes ...