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See Builds for ideas on how to fix a failed build, or Metadata for how to configure docs.rs builds.
If you believe this is docs.rs' fault, open an issue.
TensorFlux
The package provides an interface to TensorFlow.
Documentation
Example
Create a graph in Python:
=
=
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Evaluate the graph in Rust:
use ;
;
let graph = "graph.pb"; // c = a * b
let mut session = ok!;
ok!;
let a = ok!;
let b = ok!;
let inputs = vec!;
let mut outputs = vec!;
ok!;
let c = ok!;
assert_eq!;
This and other examples can be found in the examples directory.
Requirements
Configuration
Collaboration
Rust has an IRC culture, and most real-time collaborations happen in a variety of channels on Mozilla’s IRC network, irc.mozilla.org. The channels that are relevant to TensorFlow are #rust-machine-learning and #rust-tensorflow.
Contribution
Your contribution is highly appreciated. Do not hesitate to open an issue or a pull request. Note that any contribution submitted for inclusion in the project will be licensed according to the terms given in LICENSE.md.