---
name: "caffe"
section: "1"
platform: "linux"
package: "caffe"
version: "1.0.0+git20180821.99bd997-8+b2"
release: "Debian 11 (Bullseye)"
platforms: ["linux"]
url: "https://new.carta.tech/caffe"
---

# caffe(1)

command line brew for Caffe

## NAME

**caffe** - command line brew for Caffe

## SYNOPSIS

```
 caffe <COMMAND> <FLAGS>
```

## DESCRIPTION

Caffe is a deep learning framework made with expression, speed,  and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and community contributors.

## COMMANDS

- **train**

  train or finetune a model

- **test**

  score a model

- **device\_query**

  show GPU diagnostic information

- **time**

  benchmark model execution time

## FREQUENTLY USED FLAGS

- **-gpu**

  (Optional; run in GPU mode on given device IDs separated by ','. Use '**-gpu** all' to run on all available GPUs. The effective training batch size is multiplied by the number of devices.) type: string default: ""

- **-iterations**

  (The number of iterations to run.) type: int32 default: 50

- **-level**

  (Optional; network level.) type: int32 default: 0

- **-model**

  (The model definition protocol buffer text file..) type: string default: ""

- **-phase**

  (Optional; network phase (TRAIN or TEST). Only used for 'time'.) type: string default: ""

- **-sighup\_effect**

  (Optional; action to take when a SIGHUP signal is received: snapshot, stop or none.) type: string default: "snapshot"

- **-sigint\_effect**

  (Optional; action to take when a SIGINT signal is received: snapshot, stop or none.) type: string default: "stop"

- **-snapshot**

  (Optional; the snapshot solver state to resume training.) type: string default: ""

- **-solver**

  (The solver definition protocol buffer text file.) type: string default: ""

- **-stage**

  (Optional; network stages (not to be confused with phase), separated by ','.) type: string default: ""

- **-weights**

  (Optional; the pretrained weights to initialize finetuning, separated by ','. Cannot be set simultaneously with snapshot.) type: string default: ""

- **-help**

  Show complete help messages.

## OTHER CAFFE UTILITIES

Apart from the "**caffe**" command line utility, there are also some utilities available, run them with "**-h**" or "**--help**" argument to see corresponding help.

- •

  convert\_imageset

- •

  convert\_cifar\_data

- •

  compute\_image\_mean

- •

  convert\_mnist\_siamese\_data

- •

  upgrade\_net\_proto\_binary

- •

  extract\_features

- •

  upgrade\_solver\_proto\_text

- •

  classification

- •

  upgrade\_net\_proto\_text

- •

  convert\_mnist\_data

## EXAMPLES

Train a new Network

```
    $ caffe train -solver solver.prototxt
```

Resume training a network from a snapshot

```
    $ caffe train -solver solver.prototxt -snapshot bvlc_alexnet.solverstate
```

Fine-tune a network

```
    $ caffe train -solver solver.prototxt -weights pre_trained.caffemodel
```

Test (evaluate) a trained model for 100 iterations, on GPU 0

```
    $ caffe test -model train_val.prototxt -weights bvlc_alexnet.caffemodel -gpu 0 -iterations 100
```

Run a benchmark against AlexNet on GPU 0

```
    $ caffe time -model deploy.prototxt -gpu 0
```

Check CUDA device availability of GPU 0

```
    $ caffe device_query -gpu 0
```

## HOMEPAGE

http://caffe.berkeleyvision.org

## BUGS

https://github.com/BVLC/**caffe**/issues

## AUTHOR

This manpage is written by Zhou Mo \<cdluminate@gmail.com\> with the help of txt2man for Debian according to program's help message.