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How to install torch-max-mem via python pip




torch-max-mem - Maximize memory utilization with PyTorch., it belongs to Classifiers:

- Development Status :: 1 - Planning
- Environment :: Console
- Framework :: Pytest
- Framework :: Sphinx
- Framework :: tox
- Intended Audience :: Developers
- License :: OSI Approved :: MIT License
- Operating System :: OS Independent
- Programming Language :: Python :: 3 :: Only
- Programming Language :: Python :: 3.1
- Programming Language :: Python :: 3.8
- Programming Language :: Python :: 3.9
- Programming Language :: Python :: 3.10

When you know about this project and you want to new install torch-max-mem to support your project or you get trouble as ModuleNotFoundError: No module named "torch-max-mem" or ImportError: cannot import name "torch-max-mem" in your project, let follow this tutorial to install torch-max-mem



Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

In Windows (CMD):

py -m pip --version

In Unix/macOS:

python3 -m pip --version

Ensure pip, setuptools, and wheel are up to date:

In Windows (CMD):

py -m pip install --upgrade pip setuptools wheel

In Unix/macOS:

python3 -m pip install --upgrade pip setuptools wheel


Optional - If you want to install in virtual environment:

In Windows (CMD):

- Install virtualenv - if you installed it, please ignore

py -m pip install --user virtualenv

- Create a virtual environment

py -m venv test_torch-max-mem_env

- Active the virtual environment

test_torch-max-mem_env\Scripts\active

In Unix/macOS:

- Install virtualenv - if you installed it, please ignore

pip3 install virtualenv

- Create a virtual environment

python3 -m venv test_torch-max-mem_env

- Active the virtual environment

source test_torch-max-mem_env/bin/active


Step 2: OK, now, let flow below content to start the installation torch-max-mem

To install torch-max-mem on Windows(CMD):

py -m pip install torch-max-mem

To install torch-max-mem on Unix/macOs:

pip install torch-max-mem


Step 3: If you want to install a specific torch-max-mem version, add ==<torch-max-mem version> to the end command line

Example:

pip install torch-max-mem==0.0.1


Please see the version list below table:

VersionReleased dateCommand
torch-max-mem 0.0.42022-08-18T09:02:23Windows:

py -m pip install torch-max-mem==0.0.4

Unix/macOs:

pip install torch-max-mem==0.0.4

torch-max-mem 0.0.32022-08-18T08:13:42Windows:

py -m pip install torch-max-mem==0.0.3

Unix/macOs:

pip install torch-max-mem==0.0.3

torch-max-mem 0.0.22022-05-06T17:09:42Windows:

py -m pip install torch-max-mem==0.0.2

Unix/macOs:

pip install torch-max-mem==0.0.2

torch-max-mem 0.0.12022-02-01T16:44:58Windows:

py -m pip install torch-max-mem==0.0.1

Unix/macOs:

pip install torch-max-mem==0.0.1


Step 4: Otherwise, you can install torch-max-mem from local archives:

Download the distribution file from torch_max_mem-0.0.4.tar.gz or the specific torch-max-mem version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_torch-max-mem_downloaded_file>

On Unix/macOs:

pip install <path_to_torch-max-mem_downloaded_file>


List distribution:


Project link:

- Homepage
- Download
- Bug Tracker
- Source Code