2.0.0-rc.1

Cargo.toml

@@ -21,7 +21,7 @@ default-members = [
 [package]
 name = "ort"
 description = "A safe Rust wrapper for ONNX Runtime 1.17 - Optimize and Accelerate Machine Learning Inferencing"
-version = "2.0.0-rc.0"
+version = "2.0.0-rc.1"
 edition = "2021"
 rust-version = "1.70"
 license = "MIT OR Apache-2.0"
@@ -77,7 +77,7 @@ qnn = [ "ort-sys/qnn" ]
 [dependencies]
 ndarray = { version = "0.15", optional = true }
 thiserror = "1.0"
-ort-sys = { version = "2.0.0-alpha.4", path = "ort-sys" }
+ort-sys = { version = "2.0.0-rc.1", path = "ort-sys" }
 libloading = { version = "0.8", optional = true }
 
 ureq = { version = "2.1", optional = true, default-features = false, features = [ "tls" ] }

docs/introduction.mdx

@@ -9,7 +9,7 @@ title: Introduction
 `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.
 
 <Warning>
-    These docs are for the latest alpha version of `ort`, `2.0.0-rc.0`. 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.1`. This version is production-ready (just not API stable) and we recommend new & existing projects use it.
 </Warning>
 
 # Why `ort`?
@@ -19,7 +19,7 @@ For one, `ort` simply supports more features:
 
 | Feature comparison        | **📕 ort** | **📗 [ors](https://github.com/HaoboGu/ors)** | **🪟 [onnxruntime-rs](https://github.com/microsoft/onnxruntime/tree/main/rust)** |
 |---------------------------|-----------|-----------|----------------------|
-| Upstream version          | **v1.17.0** | v1.12.0 | v1.8               |
+| Upstream version          | **v1.17.1** | v1.12.0 | v1.8               |
 | `dlopen()`?               | ✅         | ✅         | ❌                    |
 | Execution providers?      | ✅         | ❌         | ❌                    |
 | I/O Binding?              | ✅         | ❌         | ❌                    |
@@ -45,7 +45,7 @@ Users of `ort` appreciate its ease of use and ergonomic API. `ort` is also battl
         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-alpha.4"
+        ort = "2.0.0-rc.1"
         ```
     </Step>
     <Step title="Convert your model">

ort-sys/Cargo.toml

@@ -1,7 +1,7 @@
 [package]
 name = "ort-sys"
 description = "Unsafe Rust bindings for ONNX Runtime 1.17 - Optimize and Accelerate Machine Learning Inferencing"
-version = "2.0.0-rc.0"
+version = "2.0.0-rc.1"
 edition = "2021"
 rust-version = "1.70"
 license = "MIT OR Apache-2.0"