profile tools for pytorch nn models

Related tags

Text Data & NLPnnprof
Overview

nnprof

Introduction

nnprof is a profile tool for pytorch neural networks.

Features

  • multi profile mode: nnprof support 4 profile mode: Layer level, Operation level, Mixed level, Layer Tree level. Please check below for detail usage.
  • time and memory profile: nnprof support both time and memory profile now. But since memory profile is first supported in pytorch 1.6, please use torch version >= 1.6 for memory profile.
  • support sorted by given key and show profile percent: user could print table with percentage and sorted profile info using a given key, which is really helpful for optimiziing neural network.

Requirements

  • Python >= 3.6
  • PyTorch
  • Numpy

Get Started

install nnprof

  • pip install:
pip install nnprof
  • from source:
python -m pip install 'git+https://github.com/FateScript/nnprof.git'

# or install after clone this repo
git clone https://github.com/FateScript/nnprof.git
pip install -e nnprof

use nnprf

from nnprof import profile, ProfileMode
import torch
import torchvision

model = torchvision.models.alexnet(pretrained=False)
x = torch.rand([1, 3, 224, 224])

# mode could be anyone in LAYER, OP, MIXED, LAYER_TREE
mode = ProfileMode.LAYER

with profile(model, mode=mode) as prof:
    y = model(x)

print(prof.table(average=False, sorted_by="cpu_time"))
# table could be sorted by presented header.

Part of presented table looks like table below, Note that they are sorted by cpu_time.

╒══════════════════════╤═══════════════════╤═══════════════════╤════════╕
│ name                 │ self_cpu_time     │ cpu_time          │   hits │
╞══════════════════════╪═══════════════════╪═══════════════════╪════════╡
│ AlexNet.features.0   │ 19.114ms (34.77%) │ 76.383ms (45.65%) │      1 │
├──────────────────────┼───────────────────┼───────────────────┼────────┤
│ AlexNet.features.3   │ 5.148ms (9.37%)   │ 20.576ms (12.30%) │      1 │
├──────────────────────┼───────────────────┼───────────────────┼────────┤
│ AlexNet.features.8   │ 4.839ms (8.80%)   │ 19.336ms (11.56%) │      1 │
├──────────────────────┼───────────────────┼───────────────────┼────────┤
│ AlexNet.features.6   │ 4.162ms (7.57%)   │ 16.632ms (9.94%)  │      1 │
├──────────────────────┼───────────────────┼───────────────────┼────────┤
│ AlexNet.features.10  │ 2.705ms (4.92%)   │ 10.713ms (6.40%)  │      1 │
├──────────────────────┼───────────────────┼───────────────────┼────────┤

You are welcomed to try diffierent profile mode and more table format.

Contribution

Any issues and pull requests are welcomed.

Acknowledgement

Some thoughts of nnprof are inspired by torchprof and torch.autograd.profile . Many thanks to the authors.

Owner
Feng Wang
Cleaner @ Megvii
Feng Wang
✨Fast Coreference Resolution in spaCy with Neural Networks

✨ NeuralCoref 4.0: Coreference Resolution in spaCy with Neural Networks. NeuralCoref is a pipeline extension for spaCy 2.1+ which annotates and resolv

Hugging Face 2.6k Jan 04, 2023
Implementation of Fast Transformer in Pytorch

Fast Transformer - Pytorch Implementation of Fast Transformer in Pytorch. This only work as an encoder. Yannic video AI Epiphany Install $ pip install

Phil Wang 167 Dec 27, 2022
A Chinese to English Neural Model Translation Project

ZH-EN NMT Chinese to English Neural Machine Translation This project is inspired by Stanford's CS224N NMT Project Dataset used in this project: News C

Zhenbang Feng 29 Nov 26, 2022
An open collection of annotated voices in Japanese language

声庭 (Koniwa): オープンな日本語音声とアノテーションのコレクション Koniwa (声庭): An open collection of annotated voices in Japanese language 概要 Koniwa(声庭)は利用・修正・再配布が自由でオープンな音声とアノテ

Koniwa project 32 Dec 14, 2022
A tool helps build a talk preview image by combining the given background image and talk event description

talk-preview-img-builder A tool helps build a talk preview image by combining the given background image and talk event description Installation and U

PyCon Taiwan 4 Aug 20, 2022
CYGNUS, the Cynical AI, combines snarky responses with uncanny aggression.

New & (hopefully) Improved CYGNUS with several API updates, user updates, and online/offline operations added!!!

Simran Farrukh 0 Mar 28, 2022
Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models.

Tevatron Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models. The toolkit has a modularized

texttron 193 Jan 04, 2023
A fast, efficient universal vector embedding utility package.

Magnitude: a fast, simple vector embedding utility library A feature-packed Python package and vector storage file format for utilizing vector embeddi

Plasticity 1.5k Jan 02, 2023
PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer

Cross-Covariance Image Transformer (XCiT) PyTorch implementation and pretrained models for XCiT models. See XCiT: Cross-Covariance Image Transformer L

Facebook Research 605 Jan 02, 2023
A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)

A2T: Towards Improving Adversarial Training of NLP Models This is the source code for the EMNLP 2021 (Findings) paper "Towards Improving Adversarial T

QData 17 Oct 15, 2022
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

ALBERT ***************New March 28, 2020 *************** Add a colab tutorial to run fine-tuning for GLUE datasets. ***************New January 7, 2020

Google Research 3k Dec 26, 2022
A Lightweight NLP Data Loader for All Deep Learning Frameworks in Python

LineFlow: Framework-Agnostic NLP Data Loader in Python LineFlow is a simple text dataset loader for NLP deep learning tasks. LineFlow was designed to

TofuNLP 177 Jan 04, 2023
使用Mask LM预训练任务来预训练Bert模型。训练垂直领域语料的模型表征,提升下游任务的表现。

Pretrain_Bert_with_MaskLM Info 使用Mask LM预训练任务来预训练Bert模型。 基于pytorch框架,训练关于垂直领域语料的预训练语言模型,目的是提升下游任务的表现。 Pretraining Task Mask Language Model,简称Mask LM,即

Desmond Ng 24 Dec 10, 2022
An open-source NLP research library, built on PyTorch.

An Apache 2.0 NLP research library, built on PyTorch, for developing state-of-the-art deep learning models on a wide variety of linguistic tasks. Quic

AI2 11.4k Jan 01, 2023
Easy to use, state-of-the-art Neural Machine Translation for 100+ languages

EasyNMT - Easy to use, state-of-the-art Neural Machine Translation This package provides easy to use, state-of-the-art machine translation for more th

Ubiquitous Knowledge Processing Lab 748 Jan 06, 2023
A Python/Pytorch app for easily synthesising human voices

Voice Cloning App A Python/Pytorch app for easily synthesising human voices Documentation Discord Server Video guide Voice Sharing Hub FAQ's System Re

Ben Andrew 840 Jan 04, 2023
An example project using OpenPrompt under pytorch-lightning for prompt-based SST2 sentiment analysis model

pl_prompt_sst An example project using OpenPrompt under the framework of pytorch-lightning for a training prompt-based text classification model on SS

Zhiling Zhang 5 Oct 21, 2022
A Python module made to simplify the usage of Text To Speech and Speech Recognition.

Nav Module The solution for voice related stuff in Python Nav is a Python module which simplifies voice related stuff in Python. Just import the Modul

Snm Logic 1 Dec 20, 2021
multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search

multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification,seq2seq,attention,beam search

hellonlp 30 Dec 12, 2022