Torch For Mac

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Torch
Developer(s)Torch Media Inc.
Initial releaseJune 18, 2012
Stable release(s)[±]
69.2.0.1706 (June 8, 2020; 4 months ago[1]) [±]
Operating systemWindows 7, Windows 8 and Windows 10[2]
PlatformIA-32
Size82.3 MB
Available inEnglish, French, Spanish, Turkish, Italian, Portuguese, German
TypeWeb browser, BitTorrent client
LicenseFreeware, adware
Websitetorchbrowser.com

Torch is a Chromium-based web browser and Internet suite developed by Torch Media.[3] The browser handles common Internet-related tasks such as displaying websites, sharing websites via social networks, downloading torrents, accelerating downloads and grabbing online media, all directly from the browser.[4] Torch Browser is commercial freeware.[5]

Torch is based on the Chromium source code[6] and is compatible with all add-ons and extensions available in the Chrome store. On June 18, 2013, Torch announced that it had surpassed 10 million active users.[7]

Torrent site The Pirate Bay has run paid endorsements for Torch on their website.[8]

Features[edit]

Torch for Mac belongs to Internet & Network Tools. The most popular versions of Torch for Mac are 29.0 and 25.0. You can install this free app on Mac OS X 10.6.0 or later. The Torch installer is commonly called TorchSetupFull.dmg or torchsetup-r0-n-bu.pkg etc. Torch is a Chromium-based web browser and Internet suite developed by Torch Media. The browser handles common Internet-related tasks such as displaying websites, sharing websites via social networks, downloading torrents, accelerating downloads and grabbing online media, all directly from the browser. Torch Browser is commercial freeware. Torch is based on the Chromium source code and is. Torch Browser for Mac, free and safe download. Torch Browser latest version: A Chrome-based browser with many surprises. Torch Browser is an alternative web browser that integrates social features, video and audio down.

The built-in BitTorrent client allows users to download torrent files.[9] Users can directly share sites, videos, audio and search results with their Facebook and Twitter accounts.[10]

On June 18, 2013, Torch announced a major release for Mac and Windows that included an integrated download accelerator. The same release also introduced Torch Music, a free social music discovery service that organizes music videos available on YouTube in a user-friendly interface. Users can easily find and stream music videos, create playlists, and follow their Facebook friends’ musical choices. Torch Music is integrated directly into Torch Browser, which includes an embedded controller to control music from any browser tab.[7]

On July 1, 2013, Torch version 25.0.0.3712 was released. The release included the ability to download Instagram and Vine videos in a single click.[11] Torch's ability to download Instagram videos was featured on CNET's Tekzilla Daily.[12]

On February 26, 2014, Torch version 29.0.0.6508 was released. The release included the ability to customize the look and feel of users' Facebook pages using pre-set themes. Users can customize these themes or create their own. A user's customized page is visible to him/herself and to anyone visiting the original user's page from another Torch browser if the original user allows it.[13]

On May 20, 2014, Torch version 33.0.0.6975 was released. The release updated the Chromium engine used by Torch and introduced an embedded player to stream torrents downloaded before the download is completed.

Reception[edit]

Free Download Torch For Mac

Reviews of Torch have evolved over time, as the browser continued to add features and functionality. Early versions of the browser have received mixed reviews, with some praising its interesting feature combination while others pointed to the lack of add-on support (an issue which has been resolved in newer versions).[9][6]

In October 2012, The Blog Herald said of Torch: 'The Torch Web Browser is built on a lightweight framework that offers what appears to be decent security. If you like to browse the web while grabbing various files this might be the perfect browser for your arsenal of web applications. Overall I have been pleased with the Torch Browser and I only hope it continues to grow so more social sharing features can be experienced and more files can be grabbed.'[9]

In reviewing Torch in December 2012, CNET said of Torch 2.0.0.1614: 'An all-in-one Web browser is nothing to sneeze at, but Torch Browser isn't going to pry you away from Chrome or Firefox. While it has options that make sharing and social media a breeze, Torch Browser just isn't unique enough to win people's hearts. It lags in performance and its major features aren't worth making the switch...Torch Browser tries to carve out its niche by being an all-in-one Web browser... However, it doesn't do any of those things well enough to replace what you currently use. Once you get over the novelty, it becomes obvious that Torch Browser isn't that powerful as a Web portal. It's noticeably slower than other browsers and it doesn't have the same sort of add-on support. The layout is just a rip-off of the open-canvas setup of other, more popular browsers. None of this is to say that using it is all a bad experience. Torch Browser still runs circles around Internet Explorer and would be a major upgrade there... While not a threat to Firefox or Chrome, Torch Browser is easy enough to use and might just impress Internet Explorer users. Heavy downloaders might enjoy the torrent downloader and media player that come with it, too.'[6]

PC Advisor, in an April 2013 review of the newest version, gave Torch 3.5/5 stars and praised it: 'This is a great alternative browser that adds some interesting extras on top of the Chrome engine. It’s well worth trying out'.[14]

In a March 2015 Techradar review by Jamie Hinks, the publication called Torch 39 'an excellent alternative for anyone looking to a browser that breaks away from the norm'.[15]

Criticism[edit]

Bundling of unwanted software[edit]

Torch Media receives payments from companies like Ask.com to bundle potentially unwanted programs with the browser. Users may be asked to install search toolbars or adware programs during installation. These bundled programs commonly do one or more of the following things:

  • Change the user's browser homepage to a page with ads
  • Change the user's default search engine
  • Prevent the user from changing their homepage and default search engine
  • Collect and upload data about the user's internet browsing behavior
  • Add toolbars to the user's browsers
  • Inject advertisements into websites that are visited by the user

While this practice is deemed controversial by some, users are given a chance to opt out of sponsored software and Torch claims to work fine without it.[16]

Torch makes contradictory claims about the software they bundle. Their online troubleshooter claims that 'Torch does not install additional toolbars' while at the same time stating that 'the Torch installer may include an optional Ask.com toolbar' on another page.[17]

References[edit]

  1. ^'Torch Browser 69.2.0.1706'. UpdateStar. 2020-06-08. Retrieved 2020-06-28.
  2. ^'Which Operating Systems support Torch?'. torchbrowser.kayako.com. Archived from the original on 2018-07-08. Retrieved 2019-04-25.
  3. ^Riggall, Jonathan (2012-08-01). 'Torch Browser - Download'. Torch.en.softonic.com. Retrieved 2012-12-23.
  4. ^'Torch Browser 2.0.0.1705'. Neowin.net. Retrieved 2012-12-23.
  5. ^'Terms of Use'. Torch Browser. 2012-04-12. Retrieved 2012-12-23.
  6. ^ abc'Torch Browser - CNET Download.com'. Download.cnet.com. Retrieved 2012-12-23.
  7. ^ abLARDINOIS, FREDERIC. 'Torch Browser Passes 10 Million Monthly Active Users, Adds Download Accelerator, Updates Torch Music Service'. TechCrunch.
  8. ^[1], Pirate Bay advertising Torch browser
  9. ^ abc'Torch Browser Delivers Social Media Sharing With A Healthy Dash Of Multimedia Control'. The Blog Herald. 2012-10-05. Retrieved 2012-12-23.
  10. ^'Torch Browser 2.0.0.1705 Download'. TechSpot. 2012-11-12. Retrieved 2012-12-23.
  11. ^'How to Download Instagram Videos - Torch Blog'. Blog.torchbrowser.com. 2013-07-01. Archived from the original on 2013-07-08. Retrieved 2013-08-30.
  12. ^'Download Instagram videos | CNET TV | Video Product Reviews, CNET Podcasts, Tech Shows, Live CNET Video'. Cnettv.cnet.com. 2012-09-19. Retrieved 2013-08-30.
  13. ^'How to Transform your Facebook in Just One Click - Torch Blog'. Blog.torchbrowser.com. Archived from the original on 2015-12-22. Retrieved 2014-02-26.
  14. ^'Torch Browser 23.4 review: an alternative web browser to Chrome, Firefox and IE'. PC Advisor. 2013-03-12. Retrieved 2013-05-15.
  15. ^Hinks, Jamie (30 March 2015). 'Best Browsers 2015: the top five candidates for your PC'. Techradar. Retrieved 1 May 2015.
  16. ^[2], Torch FAQ
  17. ^'Torch Web Browser - Your All in One Internet Browser'. Torch Browser. Retrieved 2015-11-10.
Retrieved from 'https://en.wikipedia.org/w/index.php?title=Torch_(browser)&oldid=980415006'

Start Locally

Select your preferences and run the install command. Stable represents the most currently tested and supported version of PyTorch. This should be suitable for many users. Preview is available if you want the latest, not fully tested and supported, 1.8 builds that are generated nightly. Please ensure that you have met the prerequisites below (e.g., numpy), depending on your package manager. Anaconda is our recommended package manager since it installs all dependencies. You can also install previous versions of PyTorch. Note that LibTorch is only available for C++.

PyTorch can be installed and used on macOS. Depending on your system and compute requirements, your experience with PyTorch on a Mac may vary in terms of processing time. It is recommended, but not required, that your Mac have an NVIDIA GPU in order to harness the full power of PyTorch’s CUDAsupport.

Currently, CUDA support on macOS is only available by building PyTorch from source

Prerequisites

macOS Version

PyTorch is supported on macOS 10.10 (Yosemite) or above.

Python

It is recommended that you use Python 3.5 or greater, which can be installed either through the Anaconda package manager (see below), Homebrew, or the Python website.

Package Manager

To install the PyTorch binaries, you will need to use one of two supported package managers: Anaconda or pip. Anaconda is the recommended package manager as it will provide you all of the PyTorch dependencies in one, sandboxed install, including Python.

Anaconda

To install Anaconda, you can download graphical installer or use the command-line installer. If you use the command-line installer, you can right-click on the installer link, select Copy Link Address, and then use the following commands:

pip

Python 3

If you installed Python via Homebrew or the Python website, pip was installed with it. If you installed Python 3.x, then you will be using the command pip3.

Tip: If you want to use just the command pip, instead of pip3, you can symlink pip to the pip3 binary.

Installation

Anaconda

To install PyTorch via Anaconda, use the following conda command:

pip

To install PyTorch via pip, use one of the following two commands, depending on your Python version:

Verification

To ensure that PyTorch was installed correctly, we can verify the installation by running sample PyTorch code. Here we will construct a randomly initialized tensor.

The output should be something similar to:

Building from source

For the majority of PyTorch users, installing from a pre-built binary via a package manager will provide the best experience. However, there are times when you may want to install the bleeding edge PyTorch code, whether for testing or actual development on the PyTorch core. To install the latest PyTorch code, you will need to build PyTorch from source.

You will also need to build from source if you want CUDA support.

Prerequisites

  1. Install Anaconda
  2. Install CUDA, if your machine has a CUDA-enabled GPU.
  3. Follow the steps described here: https://github.com/pytorch/pytorch#from-source

You can verify the installation as described above.

PyTorch can be installed and used on various Linux distributions. Depending on your system and compute requirements, your experience with PyTorch on Linux may vary in terms of processing time. It is recommended, but not required, that your Linux system has an NVIDIA GPU in order to harness the full power of PyTorch’s CUDAsupport..

Prerequisites

Supported Linux Distributions

PyTorch is supported on Linux distributions that use glibc >= v2.17, which include the following:

  • Arch Linux, minimum version 2012-07-15
  • CentOS, minimum version 7.3-1611
  • Debian, minimum version 8.0
  • Fedora, minimum version 24
  • Mint, minimum version 14
  • OpenSUSE, minimum version 42.1
  • PCLinuxOS, minimum version 2014.7
  • Slackware, minimum version 14.2
  • Ubuntu, minimum version 13.04

The install instructions here will generally apply to all supported Linux distributions. An example difference is that your distribution may support yum instead of apt. The specific examples shown were run on an Ubuntu 18.04 machine.

Python

Mac

Python 3.6 or greater is generally installed by default on any of our supported Linux distributions, which meets our recommendation.

Tip: By default, you will have to use the command python3 to run Python. If you want to use just the command python, instead of python3, you can symlink python to the python3 binary.

Download torch for mac

However, if you want to install another version, there are multiple ways:

  • APT

If you decide to use APT, you can run the following command to install it:

It is recommended that you use Python 3.6, 3.7 or 3.8, which can be installed via any of the mechanisms above .

If you use Anaconda to install PyTorch, it will install a sandboxed version of Python that will be used for running PyTorch applications.

Package Manager

To install the PyTorch binaries, you will need to use one of two supported package managers: Anaconda or pip. Anaconda is the recommended package manager as it will provide you all of the PyTorch dependencies in one, sandboxed install, including Python.

Anaconda

To install Anaconda, you will use the command-line installer. Right-click on the 64-bit installer link, select Copy Link Location, and then use the following commands:

You may have to open a new terminal or re-source your ~/.bashrc to get access to the conda command.

pip

Python 3

While Python 3.x is installed by default on Linux, pip is not installed by default.

Tip: If you want to use just the command pip, instead of pip3, you can symlink pip to the pip3 binary.

Installation

Anaconda

No CUDA

To install PyTorch via Anaconda, and do not have a CUDA-capable system or do not require CUDA, in the above selector, choose OS: Linux, Package: Conda and CUDA: None.Then, run the command that is presented to you.

With CUDA

To install PyTorch via Anaconda, and you do have a CUDA-capable system, in the above selector, choose OS: Linux, Package: Conda and the CUDA version suited to your machine. Often, the latest CUDA version is better.Then, run the command that is presented to you.

pip

No CUDA

To install PyTorch via pip, and do not have a CUDA-capable system or do not require CUDA, in the above selector, choose OS: Linux, Package: Pip and CUDA: None.Then, run the command that is presented to you.

With CUDA

To install PyTorch via pip, and do have a CUDA-capable system, in the above selector, choose OS: Linux, Package: Pip and the CUDA version suited to your machine. Often, the latest CUDA version is better.Then, run the command that is presented to you.

Verification

To ensure that PyTorch was installed correctly, we can verify the installation by running sample PyTorch code. Here we will construct a randomly initialized tensor.

The output should be something similar to:

Additionally, to check if your GPU driver and CUDA is enabled and accessible by PyTorch, run the following commands to return whether or not the CUDA driver is enabled:

Building from source

For the majority of PyTorch users, installing from a pre-built binary via a package manager will provide the best experience. However, there are times when you may want to install the bleeding edge PyTorch code, whether for testing or actual development on the PyTorch core. To install the latest PyTorch code, you will need to build PyTorch from source.

You will also need to build from source if you want CUDA support.

Prerequisites

  1. Install Anaconda[#anaconda]
  2. Install CUDA, if your machine has a CUDA-enabled GPU.
  3. Follow the steps described here: https://github.com/pytorch/pytorch#from-source

You can verify the installation as described above.

PyTorch can be installed and used on various Windows distributions. Depending on your system and compute requirements, your experience with PyTorch on Windows may vary in terms of processing time. It is recommended, but not required, that your Windows system has an NVIDIA GPU in order to harness the full power of PyTorch’s CUDAsupport.

Prerequisites

Supported Windows Distributions

PyTorch is supported on the following Windows distributions:

  • Windows 7 and greater; Windows 10 or greater recommended.
  • Windows Server 2008 r2 and greater

The install instructions here will generally apply to all supported Windows distributions. The specific examples shown will be run on a Windows 10 Enterprise machine

Python

Currently, PyTorch on Windows only supports Python 3.x; Python 2.x is not supported.

As it is not installed by default on Windows, there are multiple ways to install Python:

If you use Anaconda to install PyTorch, it will install a sandboxed version of Python that will be used for running PyTorch applications.

If you decide to use Chocolatey, and haven’t installed Chocolatey yet, ensure that you are running your command prompt as an administrator.

For a Chocolatey-based install, run the following command in an administrative command prompt:

Package Manager

To install the PyTorch binaries, you will need to use at least one of two supported package managers: Anaconda and pip. Anaconda is the recommended package manager as it will provide you all of the PyTorch dependencies in one, sandboxed install, including Python and pip.

Anaconda

To install Anaconda, you will use the 64-bit graphical installer for PyTorch 3.x. Click on the installer link and select Run. Anaconda will download and the installer prompt will be presented to you. The default options are generally sane.

pip

If you installed Python by any of the recommended ways above, pip will have already been installed for you.

Installation

Anaconda

To install PyTorch with Anaconda, you will need to open an Anaconda prompt via Start | Anaconda3 | Anaconda Prompt.

No CUDA

To install PyTorch via Anaconda, and do not have a CUDA-capable system or do not require CUDA, in the above selector, choose OS: Windows, Package: Conda and CUDA: None.Then, run the command that is presented to you.

With CUDA

To install PyTorch via Anaconda, and you do have a CUDA-capable system, in the above selector, choose OS: Windows, Package: Conda and the CUDA version suited to your machine. Often, the latest CUDA version is better.Then, run the command that is presented to you.

pip

No CUDA

To install PyTorch via pip, and do not have a CUDA-capable system or do not require CUDA, in the above selector, choose OS: Windows, Package: Pip and CUDA: None.Then, run the command that is presented to you.

With CUDA

To install PyTorch via pip, and do have a CUDA-capable system, in the above selector, choose OS: Windows, Package: Pip and the CUDA version suited to your machine. Often, the latest CUDA version is better.Then, run the command that is presented to you.

Verification

To ensure that PyTorch was installed correctly, we can verify the installation by running sample PyTorch code. Here we will construct a randomly initialized tensor.

From the command line, type:

then enter the following code:

The output should be something similar to:

Torch

Additionally, to check if your GPU driver and CUDA is enabled and accessible by PyTorch, run the following commands to return whether or not the CUDA driver is enabled:

Building from source

For the majority of PyTorch users, installing from a pre-built binary via a package manager will provide the best experience. However, there are times when you may want to install the bleeding edge PyTorch code, whether for testing or actual development on the PyTorch core. To install the latest PyTorch code, you will need to build PyTorch from source.

Torch Torrent Browser

Prerequisites

  1. Install Anaconda
  2. Install CUDA, if your machine has a CUDA-enabled GPU.
  3. If you want to build on Windows, Visual Studio 2017 14.11 toolset and NVTX are also needed. Especially, for CUDA 8 build on Windows, there will be an additional requirement for VS 2015 Update 3 and a patch for it. The details of the patch can be found out here.
  4. Follow the steps described here: https://github.com/pytorch/pytorch#from-source

Torch For Mac Download

You can verify the installation as described above.