40 files were added to this release more than 14 days after its initial publication. Inspect the release files before installing.
The Dynamic Neural Network Toolkit
General
DyNet is a neural network library developed by Carnegie Mellon University and many others. It is written in C++ (with bindings in Python) and is designed to be efficient when run on either CPU or GPU, and to work well with networks that have dynamic structures that change for every training instance. For example, these kinds of networks are particularly important in natural language processing tasks, and DyNet has been used to build state-of-the-art systems for syntactic parsing, machine translation, morphological inflection, and many other application areas.
Read the documentation to get started, and feel free to contact the dynet-users group group with any questions (if you want to receive email make sure to select "all email" when you sign up). We greatly appreciate any bug reports and contributions, which can be made by filing an issue or making a pull request through the github page.
You can also read more technical details in our technical report.
Getting started
You can find tutorials about using DyNet here (C++) and here (python), and here (EMNLP 2016 tutorial).
One aspect that sets DyNet apart from other tookits is the auto-batching feature. See the documentation about batching.
The example folder contains a variety of examples in C++ and python.
Installation
DyNet relies on a number of external programs/libraries including CMake and Eigen. CMake can be installed from standard repositories.
For example on Ubuntu Linux:
sudo apt-get install build-essential cmake
Or on macOS, first make sure the Apple Command Line Tools are installed, then get CMake, and Mercurial with either homebrew or macports:
xcode-select --install
brew install cmake # Using homebrew.
sudo port install cmake # Using macports.
On Windows, see documentation.
To compile DyNet you also need a specific version of the Eigen library. If you use any of the released versions, you may get assertion failures or compile errors. You can get it easily using the following command:
mkdir eigen
cd eigen
wget https://github.com/clab/dynet/releases/download/2.1/eigen-b2e267dc99d4.zip
unzip eigen-b2e267dc99d4.zip
C++ installation
You can install dynet for C++ with the following commands
# Clone the github repository
git clone https://github.com/clab/dynet.git
cd dynet
mkdir build
cd build
# Run CMake
# -DENABLE_BOOST=ON in combination with -DENABLE_CPP_EXAMPLES=ON also
# compiles the multiprocessing c++ examples
cmake .. -DEIGEN3_INCLUDE_DIR=/path/to/eigen -DENABLE_CPP_EXAMPLES=ON
# Compile using 2 processes
make -j 2
# Test with an example
./examples/xor
For more details refer to the documentation
Python installation
You can install DyNet for python by using the following command
pip install git+https://github.com/clab/dynet#egg=dynet
For more details refer to the documentation
Citing
If you use DyNet for research, please cite this report as follows:
@article{dynet,
title={DyNet: The Dynamic Neural Network Toolkit},
author={Graham Neubig and Chris Dyer and Yoav Goldberg and Austin Matthews and Waleed Ammar and Antonios Anastasopoulos and Miguel Ballesteros and David Chiang and Daniel Clothiaux and Trevor Cohn and Kevin Duh and Manaal Faruqui and Cynthia Gan and Dan Garrette and Yangfeng Ji and Lingpeng Kong and Adhiguna Kuncoro and Gaurav Kumar and Chaitanya Malaviya and Paul Michel and Yusuke Oda and Matthew Richardson and Naomi Saphra and Swabha Swayamdipta and Pengcheng Yin},
journal={arXiv preprint arXiv:1701.03980},
year={2017}
}
Contributing
We welcome any contribution to DyNet! You can find the contributing guidelines here
1 maintainer
Metadata
1 maintainer
Release files for dyNET38 2.2
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Built distributions (wheels)
Total release size: 421.6 MB
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Release files / dynet38-2.2-cp311-cp311-win_amd64.whl
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Release files / dynet38-2.2-cp311-cp311-macosx_10_9_x86_64.whl
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| Download URL | dynet38-2.2-cp311-cp311-macosx_10_9_x86_64.whl |
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Release files / dynet38-2.2-cp310-cp310-win_amd64.whl
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| Download URL | dynet38-2.2-cp310-cp310-win_amd64.whl |
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Release files / dynet38-2.2-cp310-cp310-macosx_10_9_x86_64.whl
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| Download URL | dynet38-2.2-cp310-cp310-macosx_10_9_x86_64.whl |
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Release files / dynet38-2.2-cp39-cp39-win_amd64.whl
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Release files / dynet38-2.2-cp39-cp39-macosx_10_9_x86_64.whl
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| Download URL | dynet38-2.2-cp39-cp39-macosx_10_9_x86_64.whl |
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Release files / dynet38-2.2-cp38-cp38-win_amd64.whl
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Release files / dynet38-2.2-cp38-cp38-macosx_10_9_x86_64.whl
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| Download URL | dynet38-2.2-cp38-cp38-macosx_10_9_x86_64.whl |
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Release files / dyNET38-2.2-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / dyNET38-2.2-pp310-pypy310_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / dyNET38-2.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / dyNET38-2.2-pp39-pypy39_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / dyNET38-2.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / dyNET38-2.2-pp38-pypy38_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / dyNET38-2.2-pp37-pypy37_pp73-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / dyNET38-2.2-cp312-cp312-musllinux_1_2_aarch64.whl
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Release files / dyNET38-2.2-cp312-cp312-musllinux_1_1_x86_64.whl
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Release files / dyNET38-2.2-cp312-cp312-musllinux_1_1_i686.whl
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Release files / dyNET38-2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / dyNET38-2.2-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
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Release files / dyNET38-2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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| Download URL | dyNET38-2.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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Release files / dyNET38-2.2-cp312-cp312-macosx_11_0_arm64.whl
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| Download URL | dyNET38-2.2-cp312-cp312-macosx_11_0_arm64.whl |
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Release files / dyNET38-2.2-cp311-cp311-musllinux_1_2_aarch64.whl
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Release files / dyNET38-2.2-cp311-cp311-musllinux_1_1_x86_64.whl
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Release files / dyNET38-2.2-cp311-cp311-musllinux_1_1_i686.whl
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| Tags | CPython 3.11 Linux musl 1.1+ x86-32 |
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Release files / dyNET38-2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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| Tags | CPython 3.11 Linux glibc 2.17+ x86-64 |
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Release files / dyNET38-2.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | dyNET38-2.2-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl |
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Release files / dyNET38-2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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| Download URL | dyNET38-2.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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| Size | 6.5 MB |
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Release files / dyNET38-2.2-cp311-cp311-macosx_11_0_arm64.whl
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| Download URL | dyNET38-2.2-cp311-cp311-macosx_11_0_arm64.whl |
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| Size | 3.0 MB |
| Tags | CPython 3.11 macOS 11.0+ ARM64 |
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Release files / dyNET38-2.2-cp311-cp311-macosx_10_9_x86_64.whl
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Release files / dyNET38-2.2-cp310-cp310-musllinux_1_2_aarch64.whl
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| Download URL | dyNET38-2.2-cp310-cp310-musllinux_1_2_aarch64.whl |
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| Size | 6.9 MB |
| Tags | CPython 3.10 Linux musl 1.2+ ARM64 |
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Release files / dyNET38-2.2-cp310-cp310-musllinux_1_1_x86_64.whl
| Download URL | dyNET38-2.2-cp310-cp310-musllinux_1_1_x86_64.whl |
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Release files / dyNET38-2.2-cp310-cp310-musllinux_1_1_i686.whl
| Download URL | dyNET38-2.2-cp310-cp310-musllinux_1_1_i686.whl |
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| Size | 6.8 MB |
| Tags | CPython 3.10 Linux musl 1.1+ x86-32 |
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Release files / dyNET38-2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | dyNET38-2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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Release files / dyNET38-2.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | dyNET38-2.2-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl |
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Release files / dyNET38-2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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| Download URL | dyNET38-2.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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| Size | 6.2 MB |
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Release files / dyNET38-2.2-cp310-cp310-macosx_11_0_arm64.whl
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| Download URL | dyNET38-2.2-cp310-cp310-macosx_11_0_arm64.whl |
|---|---|
| Size | 2.9 MB |
| Tags | CPython 3.10 macOS 11.0+ ARM64 |
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Release files / dyNET38-2.2-cp310-cp310-macosx_10_9_x86_64.whl
| Download URL | dyNET38-2.2-cp310-cp310-macosx_10_9_x86_64.whl |
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Release files / dyNET38-2.2-cp39-cp39-musllinux_1_2_aarch64.whl
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| Download URL | dyNET38-2.2-cp39-cp39-musllinux_1_2_aarch64.whl |
|---|---|
| Size | 6.9 MB |
| Tags | CPython 3.9 Linux musl 1.2+ ARM64 |
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Release files / dyNET38-2.2-cp39-cp39-musllinux_1_1_x86_64.whl
| Download URL | dyNET38-2.2-cp39-cp39-musllinux_1_1_x86_64.whl |
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Release files / dyNET38-2.2-cp39-cp39-musllinux_1_1_i686.whl
| Download URL | dyNET38-2.2-cp39-cp39-musllinux_1_1_i686.whl |
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| Size | 6.8 MB |
| Tags | CPython 3.9 Linux musl 1.1+ x86-32 |
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Release files / dyNET38-2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | dyNET38-2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 6.7 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-64 |
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Release files / dyNET38-2.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | dyNET38-2.2-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl |
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| Size | 6.2 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ x86-32 |
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Release files / dyNET38-2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
File added late
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We recommend inspecting the release file before installing.
| Download URL | dyNET38-2.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
|---|---|
| Size | 6.2 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ ARM64 |
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Release files / dyNET38-2.2-cp39-cp39-macosx_11_0_arm64.whl
File added late
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While project maintainers occasionally add legitimate files to an existing release, late additions can also indicate a security compromise.
We recommend inspecting the release file before installing.
| Download URL | dyNET38-2.2-cp39-cp39-macosx_11_0_arm64.whl |
|---|---|
| Size | 2.9 MB |
| Tags | CPython 3.9 macOS 11.0+ ARM64 |
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Release files / dyNET38-2.2-cp39-cp39-macosx_10_9_x86_64.whl
| Download URL | dyNET38-2.2-cp39-cp39-macosx_10_9_x86_64.whl |
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| Size | 3.4 MB |
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Release files / dyNET38-2.2-cp38-cp38-musllinux_1_1_x86_64.whl
| Download URL | dyNET38-2.2-cp38-cp38-musllinux_1_1_x86_64.whl |
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| Size | 7.5 MB |
| Tags | CPython 3.8 Linux musl 1.1+ x86-64 |
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twine/4.0.0 CPython/3.8.5
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Release files / dyNET38-2.2-cp38-cp38-musllinux_1_1_i686.whl
| Download URL | dyNET38-2.2-cp38-cp38-musllinux_1_1_i686.whl |
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| Size | 7.0 MB |
| Tags | CPython 3.8 Linux musl 1.1+ x86-32 |
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Release files / dyNET38-2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | dyNET38-2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 6.7 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
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twine/4.0.0 CPython/3.8.5
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Release files / dyNET38-2.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | dyNET38-2.2-cp38-cp38-manylinux_2_17_i686.manylinux2014_i686.whl |
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| Size | 6.2 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-32 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
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Release files / dyNET38-2.2-cp38-cp38-macosx_10_9_x86_64.whl
| Download URL | dyNET38-2.2-cp38-cp38-macosx_10_9_x86_64.whl |
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| Size | 3.4 MB |
| Tags | CPython 3.8 macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
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Release files / dyNET38-2.2-cp37-cp37m-musllinux_1_1_x86_64.whl
| Download URL | dyNET38-2.2-cp37-cp37m-musllinux_1_1_x86_64.whl |
|---|---|
| Size | 7.0 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
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Release files / dyNET38-2.2-cp37-cp37m-musllinux_1_1_i686.whl
| Download URL | dyNET38-2.2-cp37-cp37m-musllinux_1_1_i686.whl |
|---|---|
| Size | 6.5 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux musl 1.1+ x86-32 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
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Release files / dyNET38-2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | dyNET38-2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 6.4 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
|
Release files / dyNET38-2.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | dyNET38-2.2-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 5.9 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.17+ x86-32 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
|
Release files / dyNET38-2.2-cp37-cp37m-macosx_10_9_x86_64.whl
| Download URL | dyNET38-2.2-cp37-cp37m-macosx_10_9_x86_64.whl |
|---|---|
| Size | 3.4 MB |
| Tags | CPython 3.7 CPython 3.7 pymalloc macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
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Release files / dyNET38-2.2-cp36-cp36m-musllinux_1_1_x86_64.whl
| Download URL | dyNET38-2.2-cp36-cp36m-musllinux_1_1_x86_64.whl |
|---|---|
| Size | 7.0 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
|
Release files / dyNET38-2.2-cp36-cp36m-musllinux_1_1_i686.whl
| Download URL | dyNET38-2.2-cp36-cp36m-musllinux_1_1_i686.whl |
|---|---|
| Size | 6.5 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux musl 1.1+ x86-32 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
|
Release files / dyNET38-2.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | dyNET38-2.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 6.4 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
|
Release files / dyNET38-2.2-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | dyNET38-2.2-cp36-cp36m-manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 5.9 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.17+ x86-32 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
|
Release files / dyNET38-2.2-cp36-cp36m-macosx_10_9_x86_64.whl
| Download URL | dyNET38-2.2-cp36-cp36m-macosx_10_9_x86_64.whl |
|---|---|
| Size | 3.4 MB |
| Tags | CPython 3.6 CPython 3.6 pymalloc macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.8.5
|
