Struct2Tensor is a package for parsing and manipulating structured data for TensorFlow

These details have not been verified by PyPI

Project description

Struct2Tensor

Introduction

struct2tensor is a library for parsing structured data inside of tensorflow. In particular, it makes it easy to manipulate structured data, e.g., slicing, flattening, copying substructures, and so on, as part of a TensorFlow model graph. The notebook in 'examples/prensor_playground.ipynb' provides a few examples of struct2tensor in action and an introduction to the main concepts. You can run the notebook in your browser through Google's colab environment, or download the file to run it in your own Jupyter environment.

There are two main use cases of this repo:

To create a PIP package. The PIP package contains plug-ins (OpKernels) to an existing tensorflow installation.
To staticlly link with tensorflow-serving.

As these processes are independent, one can follow either set of directions below.

Use a pre-built Linux PIP package.

From a virtual environment, run:

pip install struct2tensor

Creating a PIP package.

The struct2tensor PIP package is useful for creating models. It works with either tensorflow 2.0 or tensorflow 1.15.0.

In order to unify the process, we recommend compiling struct2tensor inside a docker container.

Downloading the Code

Go to your home directory.

Download the source code.

git clone https://github.com/google/struct2tensor.git
cd ~/struct2tensor

Use docker-compose

Install docker-compose.

Use it to build a pip wheel for Python 3.6 with tensorflow version 2:

docker-compose build manylinux2010
docker-compose run -e PYTHON_VERSION=36 -e TF_VERSION=NIGHTLY_TF manylinux2010

Or build a pip wheel for Python 3.7 with tensorflow version 2 (note that if you run one of these docker-compose commands after the other, the second will erase the result from the first):

docker-compose build manylinux2010
docker-compose run -e PYTHON_VERSION=37 -e TF_VERSION=NIGHTLY_TF manylinux2010

This will create a manylinux package in the ~/struct2tensor/dist directory.

Creating a static library.

In order to construct a static library for tensorflow-serving, we run:

bazel build -c opt struct2tensor:prensor_kernels_and_ops

This can also be linked into another library.

Compatibility

struct2tensor	tensorflow
0.0.1.dev*	1.15

Project details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

0.47.0

Oct 10, 2024

0.46.0

Apr 24, 2024

0.45.0

Aug 10, 2023

0.44.0

Apr 13, 2023

0.43.0

Dec 7, 2022

0.42.0

Nov 14, 2022

0.41.0

Aug 23, 2022

0.40.0

Jun 27, 2022

0.39.0

May 11, 2022

0.38.0

Mar 1, 2022

0.37.0

Jan 19, 2022

0.36.0

Nov 30, 2021

0.35.0

Oct 26, 2021

0.34.0

Aug 23, 2021

0.33.0

Jul 27, 2021

0.32.0

Jun 21, 2021

0.31.0

May 21, 2021

0.30.0

Apr 20, 2021

0.29.0

Mar 23, 2021

0.28.0

Feb 23, 2021

0.27.0

Jan 27, 2021

0.26.0

Dec 10, 2020

0.25.0

Nov 3, 2020

0.24.0

Sep 14, 2020

0.23.0

Aug 10, 2020

0.22.0

May 14, 2020

0.21.1

Apr 10, 2020

This version

0.21.0

Apr 2, 2020

0.0.1.dev6 pre-release

Nov 4, 2019

0.0.1.dev5 pre-release

Oct 23, 2019

0.0.1.dev4 pre-release

Oct 23, 2019

0.0.1.dev3 pre-release

Oct 23, 2019

0.0.1.dev2 pre-release

Oct 22, 2019

0.0.1.dev1 pre-release

Oct 18, 2019

0.0.1.dev0 pre-release

Jul 10, 2019

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

struct2tensor-0.21.0-cp37-cp37m-manylinux2010_x86_64.whl (4.9 MB view details)

Uploaded Apr 2, 2020 CPython 3.7m manylinux: glibc 2.12+ x86-64

struct2tensor-0.21.0-cp37-cp37m-macosx_10_9_x86_64.whl (4.0 MB view details)

Uploaded Apr 2, 2020 CPython 3.7m macOS 10.9+ x86-64

struct2tensor-0.21.0-cp36-cp36m-manylinux2010_x86_64.whl (4.9 MB view details)

Uploaded Apr 2, 2020 CPython 3.6m manylinux: glibc 2.12+ x86-64

struct2tensor-0.21.0-cp36-cp36m-macosx_10_9_x86_64.whl (4.0 MB view details)

Uploaded Apr 2, 2020 CPython 3.6m macOS 10.9+ x86-64

struct2tensor-0.21.0-cp35-cp35m-manylinux2010_x86_64.whl (4.9 MB view details)

Uploaded Apr 2, 2020 CPython 3.5m manylinux: glibc 2.12+ x86-64

struct2tensor-0.21.0-cp35-cp35m-macosx_10_6_intel.whl (4.0 MB view details)

Uploaded Apr 2, 2020 CPython 3.5m macOS 10.6+ intel

File details

Details for the file struct2tensor-0.21.0-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

Download URL: struct2tensor-0.21.0-cp37-cp37m-manylinux2010_x86_64.whl
Upload date: Apr 2, 2020
Size: 4.9 MB
Tags: CPython 3.7m, manylinux: glibc 2.12+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for struct2tensor-0.21.0-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`41390a94680340b2ebd82306200de50a114b7b7d7978c2c68a5f73d637001201`
MD5	`13d355a9518574f130a2342b09408f00`
BLAKE2b-256	`94e842155513f1c3a4bcc8028702c868a94c30e1650f52a6a9294d46efdecd2f`

See more details on using hashes here.

File details

Details for the file struct2tensor-0.21.0-cp37-cp37m-macosx_10_9_x86_64.whl.

File metadata

Download URL: struct2tensor-0.21.0-cp37-cp37m-macosx_10_9_x86_64.whl
Upload date: Apr 2, 2020
Size: 4.0 MB
Tags: CPython 3.7m, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for struct2tensor-0.21.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`c2eb2bd84d2c777b629d37400bb9f22c609daa5e6e92b78c12d9335be0ddab66`
MD5	`234bfbb5791eade551d2a935ca7cd87e`
BLAKE2b-256	`4d37cc2ed8b6e3a2647a4c58bc62fcf2353efc400997d26368dc9ddc0789cfd0`

See more details on using hashes here.

File details

Details for the file struct2tensor-0.21.0-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

Download URL: struct2tensor-0.21.0-cp36-cp36m-manylinux2010_x86_64.whl
Upload date: Apr 2, 2020
Size: 4.9 MB
Tags: CPython 3.6m, manylinux: glibc 2.12+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for struct2tensor-0.21.0-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`e499d37e327de858227d31e8ea89c1be98cad2f8c6d4765933a2dd4685e3b46a`
MD5	`c7b18740cb70f2051bd2d435f47176f3`
BLAKE2b-256	`3bcf5b96f87cac4e41d0359bda4656c7ac423695567989fd66b58f6b58118ece`

See more details on using hashes here.

File details

Details for the file struct2tensor-0.21.0-cp36-cp36m-macosx_10_9_x86_64.whl.

File metadata

Download URL: struct2tensor-0.21.0-cp36-cp36m-macosx_10_9_x86_64.whl
Upload date: Apr 2, 2020
Size: 4.0 MB
Tags: CPython 3.6m, macOS 10.9+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for struct2tensor-0.21.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`82afb7b13d522dc4661375f7f4dc5ca8f712800fe586712b6306af52589fce7f`
MD5	`acf5f1841e3a000271d398fb0c3f3e77`
BLAKE2b-256	`cab023d303118622d867fd8ac8e45fcfd4d569978e924df98d0795f9c938989a`

See more details on using hashes here.

File details

Details for the file struct2tensor-0.21.0-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

Download URL: struct2tensor-0.21.0-cp35-cp35m-manylinux2010_x86_64.whl
Upload date: Apr 2, 2020
Size: 4.9 MB
Tags: CPython 3.5m, manylinux: glibc 2.12+ x86-64
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for struct2tensor-0.21.0-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`6f555c4263693c54514e0bf162843d52b7f7ca655d931c41fb706235ba1ff9e5`
MD5	`c0076ab5f3f6423b05a35f0a84a43e84`
BLAKE2b-256	`ce7a64486cefb0cc65dbc8c2051ed82d033b36f56289986c067ce650490788e8`

See more details on using hashes here.

File details

Details for the file struct2tensor-0.21.0-cp35-cp35m-macosx_10_6_intel.whl.

File metadata

Download URL: struct2tensor-0.21.0-cp35-cp35m-macosx_10_6_intel.whl
Upload date: Apr 2, 2020
Size: 4.0 MB
Tags: CPython 3.5m, macOS 10.6+ intel
Uploaded using Trusted Publishing? No
Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.6

File hashes

Hashes for struct2tensor-0.21.0-cp35-cp35m-macosx_10_6_intel.whl
Algorithm	Hash digest
SHA256	`f97a2da9c161600fc9996068a0b6df5aa210e82133ef47548828fe0652ac5f29`
MD5	`ff217115404d25345e5b3923eb57b86d`
BLAKE2b-256	`00ab85e402d36df8a5afb7cab11c7f2d75df3e599845884e250a7b23c16a7a08`