Update onnx links from master -> main

the onnx/models repo has changed thier default branch to main

Author: boydjohnson

README.md

@@ -98,7 +98,7 @@ To run this example ([`onnxruntime-sys/examples/c_api_sample.rs`](onnxruntime-sy
 
 ```sh
 # Download the model (SqueezeNet 1.0, ONNX version: 1.3, Opset version: 8)
-❯ curl -LO "https://github.com/onnx/models/raw/master/vision/classification/squeezenet/model/squeezenet1.0-8.onnx"
+❯ curl -LO "https://github.com/onnx/models/raw/main/vision/classification/squeezenet/model/squeezenet1.0-8.onnx"
 ❯ cargo run --example c_api_sample
 [...]
     Finished dev [unoptimized + debuginfo] target(s) in 1.88s
@@ -150,7 +150,7 @@ To run this example ([`onnxruntime/examples/sample.rs`](onnxruntime/examples/sam
 
 ```sh
 # Download the model (SqueezeNet 1.0, ONNX version: 1.3, Opset version: 8)
-❯ curl -LO "https://github.com/onnx/models/raw/master/vision/classification/squeezenet/model/squeezenet1.0-8.onnx"
+❯ curl -LO "https://github.com/onnx/models/raw/main/vision/classification/squeezenet/model/squeezenet1.0-8.onnx"
 ❯ cargo run --example sample
 [...]
     Finished dev [unoptimized + debuginfo] target(s) in 13.62s

onnxruntime-sys/build.rs

@@ -178,7 +178,7 @@ fn extract_zip(filename: &Path, outpath: &Path) {
         let mut file = archive.by_index(i).unwrap();
         #[allow(deprecated)]
         let outpath = outpath.join(file.sanitized_name());
-        if !(&*file.name()).ends_with('/') {
+        if !file.name().ends_with('/') {
             println!(
                 "File {} extracted to \"{}\" ({} bytes)",
                 i,

onnxruntime-sys/examples/c_api_sample.rs

@@ -55,10 +55,10 @@ fn main() {
     //*************************************************************************
     // create session and load model into memory
     // NOTE: Original C version loaded SqueezeNet 1.0 (ONNX version: 1.3, Opset version: 8,
-    //       https://github.com/onnx/models/blob/master/vision/classification/squeezenet/model/squeezenet1.0-8.onnx)
+    //       https://github.com/onnx/models/blob/main/vision/classification/squeezenet/model/squeezenet1.0-8.onnx)
     //       Download it:
-    //           curl -LO "https://github.com/onnx/models/raw/master/vision/classification/squeezenet/model/squeezenet1.0-8.onnx"
-    //       Reference: https://github.com/onnx/models/tree/master/vision/classification/squeezenet#model
+    //           curl -LO "https://github.com/onnx/models/raw/main/vision/classification/squeezenet/model/squeezenet1.0-8.onnx"
+    //       Reference: https://github.com/onnx/models/tree/main/vision/classification/squeezenet#model
     let model_path = std::ffi::OsString::from("squeezenet1.0-8.onnx");
 
     #[cfg(target_family = "windows")]

onnxruntime/examples/sample.rs

@@ -38,7 +38,7 @@ fn run() -> Result<(), Error> {
         // NOTE: The example uses SqueezeNet 1.0 (ONNX version: 1.3, Opset version: 8),
         //       _not_ SqueezeNet 1.1 as downloaded by '.with_model_downloaded(ImageClassification::SqueezeNet)'
         //       Obtain it with:
-        //          curl -LO "https://github.com/onnx/models/raw/master/vision/classification/squeezenet/model/squeezenet1.0-8.onnx"
+        //          curl -LO "https://github.com/onnx/models/raw/main/vision/classification/squeezenet/model/squeezenet1.0-8.onnx"
         .with_model_from_file("squeezenet1.0-8.onnx")?;
 
     let input0_shape: Vec<usize> = session.inputs[0].dimensions().map(|d| d.unwrap()).collect();

onnxruntime/src/download/language/machine_comprehension.rs

@@ -18,33 +18,33 @@ pub enum MachineComprehension {
     ///
     /// > This model is a neural network for answering a query about a given context paragraph.
     ///
-    /// Source: [https://github.com/onnx/models/tree/master/text/machine_comprehension/bidirectional_attention_flow](https://github.com/onnx/models/tree/master/text/machine_comprehension/bidirectional_attention_flow)
+    /// Source: [https://github.com/onnx/models/tree/main/text/machine_comprehension/bidirectional_attention_flow](https://github.com/onnx/models/tree/main/text/machine_comprehension/bidirectional_attention_flow)
     ///
     /// Variant downloaded: ONNX Version 1.4 with Opset Version 9.
     BiDAF,
     /// Answers questions based on the context of the given input paragraph.
     ///
-    /// Source: [https://github.com/onnx/models/tree/master/text/machine_comprehension/bert-squad](https://github.com/onnx/models/tree/master/text/machine_comprehension/bert-squad)
+    /// Source: [https://github.com/onnx/models/tree/main/text/machine_comprehension/bert-squad](https://github.com/onnx/models/tree/main/text/machine_comprehension/bert-squad)
     ///
     /// Variant downloaded: ONNX Version 1.5 with Opset Version 10.
     BERTSquad,
     /// Large transformer-based model that predicts sentiment based on given input text.
     ///
     /// > Transformer-based language model for text generation.
     ///
-    /// Source: [https://github.com/onnx/models/tree/master/text/machine_comprehension/roberta](https://github.com/onnx/models/tree/master/text/machine_comprehension/roberta)
+    /// Source: [https://github.com/onnx/models/tree/main/text/machine_comprehension/roberta](https://github.com/onnx/models/tree/main/text/machine_comprehension/roberta)
     RoBERTa(RoBERTa),
     /// Large transformer-based language model that given a sequence of words within some text, predicts the next word.
     ///
-    /// Source: [https://github.com/onnx/models/tree/master/text/machine_comprehension/gpt-2](https://github.com/onnx/models/tree/master/text/machine_comprehension/gpt-2)
+    /// Source: [https://github.com/onnx/models/tree/main/text/machine_comprehension/gpt-2](https://github.com/onnx/models/tree/main/text/machine_comprehension/gpt-2)
     GPT2(GPT2),
 }
 
 /// Large transformer-based model that predicts sentiment based on given input text.
 ///
 /// > Transformer-based language model for text generation.
 ///
-/// Source: [https://github.com/onnx/models/tree/master/text/machine_comprehension/roberta](https://github.com/onnx/models/tree/master/text/machine_comprehension/roberta)
+/// Source: [https://github.com/onnx/models/tree/main/text/machine_comprehension/roberta](https://github.com/onnx/models/tree/main/text/machine_comprehension/roberta)
 #[derive(Debug, Clone)]
 pub enum RoBERTa {
     /// Variant with input is a sequence of words as a string. Example: "Text to encode: Hello, World"
@@ -61,7 +61,7 @@ pub enum RoBERTa {
 ///
 /// > Transformer-based language model for text generation.
 ///
-/// Source: [https://github.com/onnx/models/tree/master/text/machine_comprehension/gpt-2](https://github.com/onnx/models/tree/master/text/machine_comprehension/gpt-2)
+/// Source: [https://github.com/onnx/models/tree/main/text/machine_comprehension/gpt-2](https://github.com/onnx/models/tree/main/text/machine_comprehension/gpt-2)
 ///
 /// Variant downloaded: ONNX Version 1.6 with Opset Version 10.
 #[derive(Debug, Clone)]
@@ -70,16 +70,16 @@ pub enum GPT2 {
     GPT2,
     /// GPT2 + script changes
     ///
-    /// See [https://github.com/onnx/models/blob/master/text/machine_comprehension/gpt-2/dependencies/GPT2-export.py](https://github.com/onnx/models/blob/master/text/machine_comprehension/gpt-2/dependencies/GPT2-export.py)
+    /// See [https://github.com/onnx/models/blob/main/text/machine_comprehension/gpt-2/dependencies/GPT2-export.py](https://github.com/onnx/models/blob/main/text/machine_comprehension/gpt-2/dependencies/GPT2-export.py)
     /// for the script changes.
     GPT2LmHead,
 }
 
 impl ModelUrl for MachineComprehension {
     fn fetch_url(&self) -> &'static str {
         match self {
-            MachineComprehension::BiDAF => "https://github.com/onnx/models/raw/master/text/machine_comprehension/bidirectional_attention_flow/model/bidaf-9.onnx",
-            MachineComprehension::BERTSquad => "https://github.com/onnx/models/raw/master/text/machine_comprehension/bert-squad/model/bertsquad-10.onnx",
+            MachineComprehension::BiDAF => "https://github.com/onnx/models/raw/main/text/machine_comprehension/bidirectional_attention_flow/model/bidaf-9.onnx",
+            MachineComprehension::BERTSquad => "https://github.com/onnx/models/raw/main/text/machine_comprehension/bert-squad/model/bertsquad-10.onnx",
             MachineComprehension::RoBERTa(variant) => variant.fetch_url(),
             MachineComprehension::GPT2(variant) => variant.fetch_url(),
         }
@@ -89,17 +89,17 @@ impl ModelUrl for MachineComprehension {
 impl ModelUrl for RoBERTa {
     fn fetch_url(&self) -> &'static str {
         match self {
-            RoBERTa::RoBERTaBase => "https://github.com/onnx/models/raw/master/text/machine_comprehension/roberta/model/roberta-base-11.onnx",
-            RoBERTa::RoBERTaSequenceClassification => "https://github.com/onnx/models/raw/master/text/machine_comprehension/roberta/model/roberta-sequence-classification-9.onnx",
+            RoBERTa::RoBERTaBase => "https://github.com/onnx/models/raw/main/text/machine_comprehension/roberta/model/roberta-base-11.onnx",
+            RoBERTa::RoBERTaSequenceClassification => "https://github.com/onnx/models/raw/main/text/machine_comprehension/roberta/model/roberta-sequence-classification-9.onnx",
         }
     }
 }
 
 impl ModelUrl for GPT2 {
     fn fetch_url(&self) -> &'static str {
         match self {
-            GPT2::GPT2 => "https://github.com/onnx/models/raw/master/text/machine_comprehension/gpt-2/model/gpt2-10.onnx",
-            GPT2::GPT2LmHead => "https://github.com/onnx/models/raw/master/text/machine_comprehension/gpt-2/model/gpt2-lm-head-10.onnx",
+            GPT2::GPT2 => "https://github.com/onnx/models/raw/main/text/machine_comprehension/gpt-2/model/gpt2-10.onnx",
+            GPT2::GPT2LmHead => "https://github.com/onnx/models/raw/main/text/machine_comprehension/gpt-2/model/gpt2-lm-head-10.onnx",
         }
     }
 }

onnxruntime/src/download/vision/body_face_gesture_analysis.rs

@@ -15,13 +15,13 @@ pub enum BodyFaceGestureAnalysis {
     /// A CNN based model for face recognition which learns discriminative features of faces and produces
     /// embeddings for input face images.
     ///
-    /// Source: [https://github.com/onnx/models/tree/master/vision/body_analysis/arcface](https://github.com/onnx/models/tree/master/vision/body_analysis/arcface)
+    /// Source: [https://github.com/onnx/models/tree/main/vision/body_analysis/arcface](https://github.com/onnx/models/tree/main/vision/body_analysis/arcface)
     ///
     /// Variant downloaded: ONNX Version 1.3 with Opset Version 8.
     ArcFace,
     /// Deep CNN for emotion recognition trained on images of faces.
     ///
-    /// Source: [https://github.com/onnx/models/tree/master/vision/body_analysis/emotion_ferplus](https://github.com/onnx/models/tree/master/vision/body_analysis/emotion_ferplus)
+    /// Source: [https://github.com/onnx/models/tree/main/vision/body_analysis/emotion_ferplus](https://github.com/onnx/models/tree/main/vision/body_analysis/emotion_ferplus)
     ///
     /// Variant downloaded: ONNX Version 1.3 with Opset Version 8.
     EmotionFerPlus,
@@ -30,8 +30,8 @@ pub enum BodyFaceGestureAnalysis {
 impl ModelUrl for BodyFaceGestureAnalysis {
     fn fetch_url(&self) -> &'static str {
         match self {
-            BodyFaceGestureAnalysis::ArcFace => "https://github.com/onnx/models/raw/master/vision/body_analysis/arcface/model/arcfaceresnet100-8.onnx",
-            BodyFaceGestureAnalysis::EmotionFerPlus => "https://github.com/onnx/models/raw/master/vision/body_analysis/emotion_ferplus/model/emotion-ferplus-8.onnx",
+            BodyFaceGestureAnalysis::ArcFace => "https://github.com/onnx/models/raw/main/vision/body_analysis/arcface/model/arcfaceresnet100-8.onnx",
+            BodyFaceGestureAnalysis::EmotionFerPlus => "https://github.com/onnx/models/raw/main/vision/body_analysis/emotion_ferplus/model/emotion-ferplus-8.onnx",
         }
     }
 }

onnxruntime/src/download/vision/domain_based_image_classification.rs

@@ -9,7 +9,7 @@ use crate::download::{vision::Vision, AvailableOnnxModel, ModelUrl};
 pub enum DomainBasedImageClassification {
     /// Handwritten digits prediction using CNN
     ///
-    /// Source: [https://github.com/onnx/models/tree/master/vision/classification/mnist](https://github.com/onnx/models/tree/master/vision/classification/mnist)
+    /// Source: [https://github.com/onnx/models/tree/main/vision/classification/mnist](https://github.com/onnx/models/tree/main/vision/classification/mnist)
     ///
     /// Variant downloaded: ONNX Version 1.3 with Opset Version 8.
     Mnist,
@@ -18,7 +18,7 @@ pub enum DomainBasedImageClassification {
 impl ModelUrl for DomainBasedImageClassification {
     fn fetch_url(&self) -> &'static str {
         match self {
-            DomainBasedImageClassification::Mnist => "https://github.com/onnx/models/raw/master/vision/classification/mnist/model/mnist-8.onnx",
+            DomainBasedImageClassification::Mnist => "https://github.com/onnx/models/raw/main/vision/classification/mnist/model/mnist-8.onnx",
         }
     }
 }