Big Multiplier
This repository created for matrix multiplication.
The purpose is to prevent being out of memory on GPU.
Doing matrix multiplication is a massive calculation for CPU. However generally GPU rams are not enough. Sometimes it is not possible to place the two of the matrix on the GPU ram.
In this implementation you will find a Theano symbolic multiplication. This function will divide your big matrixes to smaller blocks in order to make possible the calculation on GPU.
Just call the method
result_sparse_matrix = calculate(sparse_matrix_1, sparse_matrix_2)
Implementation is using scipy lil and csr sparse matrix.
Install
pip install bigmultiplier
1 maintainer
Metadata
1 maintainer
Release files for bigmultiplier 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| bigmultiplier-1.0.0.tar.gz | 1.6 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| bigmultiplier-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.6 kB
Release files / bigmultiplier-1.0.0.tar.gz
| Download URL | bigmultiplier-1.0.0.tar.gz |
|---|---|
| Size | 1.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
21cd9d3d67553663a0aed34ff6cab9948dc9052cf605ac8e0a5720a7fd1f6f16
|
|
BLAKE2b-256 checksum How to use checksums |
26e06a3fb00e68932832abf0f832fd37abc9fca38753f521b0bbf2b08dabfdcd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Release files / bigmultiplier-1.0.0-py3-none-any.whl
| Download URL | bigmultiplier-1.0.0-py3-none-any.whl |
|---|---|
| Size | 3.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e212ee864265730a01d875876aadc6725a005928f4391c8b17498ba1df0f262d
|
|
BLAKE2b-256 checksum How to use checksums |
c425ea8565ed4c044a3f23c2559fd0311f3c0413b542abf88a5df2036730b40d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for bigmultiplier 1.0.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
