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2.0.0-rc.9
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decahedron1 committed Nov 21, 2024
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4 changes: 2 additions & 2 deletions Cargo.toml
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Expand Up @@ -26,7 +26,7 @@ exclude = [ 'examples/cudarc' ]
[package]
name = "ort"
description = "A safe Rust wrapper for ONNX Runtime 1.20 - Optimize and accelerate machine learning inference & training"
version = "2.0.0-rc.8"
version = "2.0.0-rc.9"
edition = "2021"
rust-version = "1.70"
license = "MIT OR Apache-2.0"
Expand Down Expand Up @@ -82,7 +82,7 @@ qnn = [ "ort-sys/qnn" ]

[dependencies]
ndarray = { version = "0.16", optional = true }
ort-sys = { version = "2.0.0-rc.8", path = "ort-sys" }
ort-sys = { version = "2.0.0-rc.9", path = "ort-sys" }
libloading = { version = "0.8", optional = true }

ureq = { version = "2.1", optional = true, default-features = false, features = [ "tls" ] }
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -10,7 +10,7 @@

## 📖 Documentation
- [Guide](https://ort.pyke.io/)
- [API reference](https://docs.rs/ort/2.0.0-rc.8/ort/)
- [API reference](https://docs.rs/ort/2.0.0-rc.9/ort/)
- [Examples](https://github.com/pykeio/ort/tree/main/examples)
- [Migrating from v1.x to v2.0](https://ort.pyke.io/migrating/v2)

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4 changes: 2 additions & 2 deletions docs/pages/_meta.tsx
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Expand Up @@ -6,11 +6,11 @@ export default {
},
"link-api": {
"title": "API Reference ↗",
"href": "https://docs.rs/ort/2.0.0-rc.8/ort/"
"href": "https://docs.rs/ort/2.0.0-rc.9/ort/"
},
"link-crates": {
"title": "Crates.io ↗",
"href": "https://crates.io/crates/ort/2.0.0-rc.8",
"href": "https://crates.io/crates/ort/2.0.0-rc.9",
"newWindow": true
},
"-- Docs": {
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4 changes: 2 additions & 2 deletions docs/pages/index.mdx
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Expand Up @@ -11,7 +11,7 @@ import { Callout, Card, Cards, Steps } from 'nextra/components';
</div>

<Callout type='warning'>
These docs are for the latest alpha version of `ort`, `2.0.0-rc.8`. This version is production-ready (just not API stable) and we recommend new & existing projects use it.
These docs are for the latest alpha version of `ort`, `2.0.0-rc.9`. This version is production-ready (just not API stable) and we recommend new & existing projects use it.
</Callout>

`ort` makes it easy to deploy your machine learning models to production via [ONNX Runtime](https://onnxruntime.ai/), a hardware-accelerated inference engine. With `ort` + ONNX Runtime, you can run almost any ML model (including ResNet, YOLOv8, BERT, LLaMA) on almost any hardware, often far faster than PyTorch, and with the added bonus of Rust's efficiency.
Expand All @@ -37,7 +37,7 @@ Converting a neural network to a graph representation like ONNX opens the door t
If you have a [supported platform](/setup/platforms) (and you probably do), installing `ort` couldn't be any simpler! Just add it to your Cargo dependencies:
```toml
[dependencies]
ort = "=2.0.0-rc.8"
ort = "=2.0.0-rc.9"
```

### Convert your model
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2 changes: 1 addition & 1 deletion docs/pages/setup/platforms.mdx
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Expand Up @@ -5,7 +5,7 @@ description: ONNX Runtime, and by extension `ort`, supports a wide variety of pl

import { Callout } from 'nextra/components';

Here are the supported platforms and binary availability status, as of v2.0.0-rc.8.
Here are the supported platforms and binary availability status, as of v2.0.0-rc.9.

* 🟢 - Supported. Binaries provided by pyke.
* 🔷 - Supported. Precompiled binaries not available.
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2 changes: 1 addition & 1 deletion ort-sys/Cargo.toml
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@@ -1,7 +1,7 @@
[package]
name = "ort-sys"
description = "Unsafe Rust bindings for ONNX Runtime 1.20 - Optimize and Accelerate Machine Learning Inferencing"
version = "2.0.0-rc.8"
version = "2.0.0-rc.9"
edition = "2021"
rust-version = "1.70"
license = "MIT OR Apache-2.0"
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