VENLACPU

CPU-first deep learning framework modern C++17.

VENLACPU is an actively developed deep learning framework focused on a clean, portable CPU implementation. The native engine is written in C++17 and is designed to work across desktop and mobile environments without requiring CUDA.

Status: Alpha / active development. APIs may change before the first stable release.

Author

VENLACPU is created and developed by Frandika Imam Arifin.

Current capabilities

The current C++ core includes:

Tensor storage, shape, stride, dtype, and device abstractions
CPU tensor operations and manipulation
Autograd and gradient propagation
Elementwise mathematics and reductions
Linear layers and sequential models
Activation functions
MSE and cross-entropy loss
Embedding
Positional encoding
Layer normalization
Multi-head attention
Feed-forward networks
Transformer encoder
Transformer decoder
KV cache and cached attention
Causal language model
Causal language-model dataset batching
Training loop with gradient accumulation
Adam optimizer
Evaluation and autoregressive generation
Tokenizer and vocabulary components

The project currently contains a comprehensive C++ test suite covering the implemented components.

Architecture

Physical CPU engine
           |
          T
ensor / Storage / Shape / Stride / Dtype / Device
           |
          Autograd
          |
          Math Ops
           |
          Neural network
          |
      Transformer / Language Model
          |
          Training System

The native implementation is the primary implementation at this stage.

Build from source

Requirements:

CMake 3.16 or newer
C++17 compiler
Git

cmake -S . -B build
cmake --build build -j2

Run the complete test suite:

ctest --test-dir build --output-on-failure

Python / PyPI

VENLACPU has a modular Python package prepared for PyPI. The current Python package exposes the package version, while the native C++ engine remains the primary implementation.

Platform-specific native wheels will be added when the Python binding layer is ready. GitHub Actions is used as the build and packaging engine.

Causal language-model training

The current training API supports:

Causal token shifting
Dataset batching
Padding with ignore index
Cross-entropy loss
Autograd and gradient propagation
Gradient accumulation
Adam optimization
Evaluation
Autoregressive generation

CPU-first design

VENLACPU is intentionally CPU-first. The current implementation does not require CUDA or a GPU runtime.

This makes the project suitable for desktop CPUs and ARM/mobile development environments.

Repository layout

venlacpu/
└ ── include/venla/
    └ ── autograd/
    │      core/
    └        math/
    └        nn/
    └ ── optim/
    │        tensor/
    └ ── tokenizer/
    └        training/
  │   src/
    │      core/
    └        math/
    └        nn/
    └ ── optim/
    │      tensor/
    │      tokenizer/
    │      training/
  │   tests/
  │  examples/
   │  benchmarks/
   │   docs/
   └ ── python/
   │  CMakeLists.tx
  │  pyproject.toml
   └ ── README.md

Development philosophy

VENLACPU begins with the low-level foundations and builds upward. The long-term goal is a portable CPU-first framework with a native C++ core and convenient Python access.

License

The project is currently in alpha and the final public-release license is being finalized.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

venlacpu-0.2.2.tar.gz (112.3 kB view details)

Uploaded Aug 31, 2026 Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

venlacpu-0.2.2-cp311-cp311-win_amd64.whl (1.7 MB view details)

Uploaded Aug 31, 2026 CPython 3.11Windows x86-64

venlacpu-0.2.2-cp311-cp311-musllinux_1_2_x86_64.whl (1.8 MB view details)

Uploaded Aug 31, 2026 CPython 3.11musllinux: musl 1.2+ x86-64

venlacpu-0.2.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl (751.9 kB view details)

Uploaded Aug 31, 2026 CPython 3.11manylinux: glibc 2.27+ x86-64manylinux: glibc 2.28+ x86-64

venlacpu-0.2.2-cp311-cp311-macosx_26_0_arm64.whl (547.6 kB view details)

Uploaded Aug 31, 2026 CPython 3.11macOS 26.0+ ARM64

File details

Details for the file venlacpu-0.2.2.tar.gz.

File metadata

Download URL: venlacpu-0.2.2.tar.gz
Upload date: Aug 31, 2026
Size: 112.3 kB
Tags: Source
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for venlacpu-0.2.2.tar.gz
Algorithm	Hash digest
SHA256	`79c9d779216a79f2dee0b35b4faef9a0b1ec66ad58c4fea32b2ec927724208ef`
MD5	`a027336a2bd1416daa488c82ee930f2b`
BLAKE2b-256	`e9ea7a60690dc65942da52ba7351baef8d880c8c3727ac9134bd7d9d994ecd30`

See more details on using hashes here.

Provenance

The following attestation bundles were made for venlacpu-0.2.2.tar.gz:

Publisher: release.yml on Mangono1/venlacpu

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: venlacpu-0.2.2.tar.gz
- Subject digest: 79c9d779216a79f2dee0b35b4faef9a0b1ec66ad58c4fea32b2ec927724208ef
- Sigstore transparency entry: 2664052657
- Sigstore integration time: Aug 31, 2026
Source repository:
- Permalink: Mangono1/venlacpu@470c985fa67362d6ba687978915ddff3d44e7842
- Branch / Tag: refs/tags/v0.2.2
- Owner: https://github.com/Mangono1
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@470c985fa67362d6ba687978915ddff3d44e7842
- Trigger Event: push

File details

Details for the file venlacpu-0.2.2-cp311-cp311-win_amd64.whl.

File metadata

Download URL: venlacpu-0.2.2-cp311-cp311-win_amd64.whl
Upload date: Aug 31, 2026
Size: 1.7 MB
Tags: CPython 3.11, Windows x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for venlacpu-0.2.2-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`ec2f3f13b6657e12006a77f6cb91cc1e759bc18c252ce9dac3bb984ae57db33a`
MD5	`a761081ab7cf259a310cf5750b0014f1`
BLAKE2b-256	`ee836d111f4c5a72ecbfc7d3a8fafc965e1c26b63b7f7230f0e937987e7cfd69`

See more details on using hashes here.

Provenance

The following attestation bundles were made for venlacpu-0.2.2-cp311-cp311-win_amd64.whl:

Publisher: release.yml on Mangono1/venlacpu

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: venlacpu-0.2.2-cp311-cp311-win_amd64.whl
- Subject digest: ec2f3f13b6657e12006a77f6cb91cc1e759bc18c252ce9dac3bb984ae57db33a
- Sigstore transparency entry: 2664053053
- Sigstore integration time: Aug 31, 2026
Source repository:
- Permalink: Mangono1/venlacpu@470c985fa67362d6ba687978915ddff3d44e7842
- Branch / Tag: refs/tags/v0.2.2
- Owner: https://github.com/Mangono1
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@470c985fa67362d6ba687978915ddff3d44e7842
- Trigger Event: push

File details

Details for the file venlacpu-0.2.2-cp311-cp311-musllinux_1_2_x86_64.whl.

File metadata

Download URL: venlacpu-0.2.2-cp311-cp311-musllinux_1_2_x86_64.whl
Upload date: Aug 31, 2026
Size: 1.8 MB
Tags: CPython 3.11, musllinux: musl 1.2+ x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for venlacpu-0.2.2-cp311-cp311-musllinux_1_2_x86_64.whl
Algorithm	Hash digest
SHA256	`fc4ceea6482ade68657a5c39e6400507491b9f6e32b8c4e6e0e59f47381fe650`
MD5	`dc2bfb2925e35cf570f71fdb14cb08c4`
BLAKE2b-256	`d3fdc1209deb32732ea8a6ad6d17ae6df9d92c61de2715b047823f93304989b4`

See more details on using hashes here.

Provenance

The following attestation bundles were made for venlacpu-0.2.2-cp311-cp311-musllinux_1_2_x86_64.whl:

Publisher: release.yml on Mangono1/venlacpu

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: venlacpu-0.2.2-cp311-cp311-musllinux_1_2_x86_64.whl
- Subject digest: fc4ceea6482ade68657a5c39e6400507491b9f6e32b8c4e6e0e59f47381fe650
- Sigstore transparency entry: 2664052882
- Sigstore integration time: Aug 31, 2026
Source repository:
- Permalink: Mangono1/venlacpu@470c985fa67362d6ba687978915ddff3d44e7842
- Branch / Tag: refs/tags/v0.2.2
- Owner: https://github.com/Mangono1
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@470c985fa67362d6ba687978915ddff3d44e7842
- Trigger Event: push

File details

Details for the file venlacpu-0.2.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.

File metadata

Download URL: venlacpu-0.2.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Upload date: Aug 31, 2026
Size: 751.9 kB
Tags: CPython 3.11, manylinux: glibc 2.27+ x86-64, manylinux: glibc 2.28+ x86-64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for venlacpu-0.2.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Algorithm	Hash digest
SHA256	`a816aba9074fd5ac829d731b2c6e2ed66a937a60364bbaa3988948b33794af1d`
MD5	`ced0d4a14358952d495d905d4f1da42a`
BLAKE2b-256	`5d8186a82f22d6710d511a892bd6a2aca63e5d26dceadfa191199e8242e8df4c`

See more details on using hashes here.

Provenance

The following attestation bundles were made for venlacpu-0.2.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl:

Publisher: release.yml on Mangono1/venlacpu

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: venlacpu-0.2.2-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
- Subject digest: a816aba9074fd5ac829d731b2c6e2ed66a937a60364bbaa3988948b33794af1d
- Sigstore transparency entry: 2664053281
- Sigstore integration time: Aug 31, 2026
Source repository:
- Permalink: Mangono1/venlacpu@470c985fa67362d6ba687978915ddff3d44e7842
- Branch / Tag: refs/tags/v0.2.2
- Owner: https://github.com/Mangono1
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@470c985fa67362d6ba687978915ddff3d44e7842
- Trigger Event: push

File details

Details for the file venlacpu-0.2.2-cp311-cp311-macosx_26_0_arm64.whl.

File metadata

Download URL: venlacpu-0.2.2-cp311-cp311-macosx_26_0_arm64.whl
Upload date: Aug 31, 2026
Size: 547.6 kB
Tags: CPython 3.11, macOS 26.0+ ARM64
Uploaded using Trusted Publishing? Yes
Uploaded via: twine/7.0.0 CPython/3.13.14

File hashes

Hashes for venlacpu-0.2.2-cp311-cp311-macosx_26_0_arm64.whl
Algorithm	Hash digest
SHA256	`db7ff8ec5570f11187d6e8ffa7e41391aebc62732574b16e9613316dd6030496`
MD5	`16bc80b57a62cdf87e6b2ea6ce90ba5b`
BLAKE2b-256	`19ee9d70fd5ba5a19fd6974efa6265985c2c4bb572f09b5a59bd1e3c65afbef6`

See more details on using hashes here.

Provenance

The following attestation bundles were made for venlacpu-0.2.2-cp311-cp311-macosx_26_0_arm64.whl:

Publisher: release.yml on Mangono1/venlacpu

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Statement:
- Statement type: https://in-toto.io/Statement/v1
- Predicate type: https://docs.pypi.org/attestations/publish/v1
- Subject name: venlacpu-0.2.2-cp311-cp311-macosx_26_0_arm64.whl
- Subject digest: db7ff8ec5570f11187d6e8ffa7e41391aebc62732574b16e9613316dd6030496
- Sigstore transparency entry: 2664053481
- Sigstore integration time: Aug 31, 2026
Source repository:
- Permalink: Mangono1/venlacpu@470c985fa67362d6ba687978915ddff3d44e7842
- Branch / Tag: refs/tags/v0.2.2
- Owner: https://github.com/Mangono1
- Access: public
Publication detail:
- Token Issuer: https://token.actions.githubusercontent.com
- Runner Environment: github-hosted
- Publication workflow: release.yml@470c985fa67362d6ba687978915ddff3d44e7842
- Trigger Event: push