DeepPhysX.Torch
This python package is part of the DeepPhysX project. It contains adaptations of some Core components that are compatible with the PyTorch framework.
Quick install
The package requires DeepPhysX and PyTorch to be installed.
The easiest way to install is using pip, but there are a several way to install and configure a DeepPhysX
environment (refer to the documentation for further instructions).
$ pip install DeepPhysX.Torch
If cloning sources, clone it in the same repository as other DeepPhysX packages.
It must be cloned in a directory with the corresponding name as shown below:
$ mkdir DeepPhysX
$ cd DeepPhysX
$ git clone https://github.com/mimesis-inria/DeepPhysX.git Core # Clone default package
$ git clone https://github.com/mimesis-inria/DeepPhysX.Torch.git Torch # Clone AI package
$ ls
Core Torch
Release files for DeepPhysX.Torch 22.12
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| DeepPhysX.Torch-22.12.tar.gz | 25.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| DeepPhysX.Torch-22.12-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 57.5 kB
Release files / DeepPhysX.Torch-22.12.tar.gz
| Download URL | DeepPhysX.Torch-22.12.tar.gz |
|---|---|
| Size | 25.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.6
|
Release files / DeepPhysX.Torch-22.12-py3-none-any.whl
| Download URL | DeepPhysX.Torch-22.12-py3-none-any.whl |
|---|---|
| Size | 32.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.6
|