Updates

Signed-off-by: terrytangyuan <[email protected]>
onnx · Apr 16, 2021 · b5037a2 · b5037a2
1 parent 3000de1
commit b5037a2
Show file tree

Hide file tree

Showing 23 changed files with 51 additions and 42 deletions.
diff --git a/.Rbuildignore b/.Rbuildignore
@@ -7,3 +7,5 @@ tests/testthat/inst/super_resolution.onnx
 index.Rmd
 .travis.yml
 ^_pkgdown\.yml$
+^CRAN-RELEASE$
+.github
diff --git a/.gitignore b/.gitignore
@@ -3,3 +3,4 @@
 .RData
 .Ruserdata
 *.DS_STORE
+CRAN-RELEASE
diff --git a/NAMESPACE b/NAMESPACE
@@ -1,20 +1,2 @@
 # Generated by roxygen2: do not edit by hand
 
-S3method(check,onnx_pb2.AttributeProto)
-S3method(check,onnx_pb2.GraphProto)
-S3method(check,onnx_pb2.ModelProto)
-S3method(check,onnx_pb2.NodeProto)
-S3method(check,onnx_pb2.TensorProto)
-S3method(print_readable,onnx_pb2.AttributeProto)
-S3method(print_readable,onnx_pb2.GraphProto)
-S3method(print_readable,onnx_pb2.NodeProto)
-S3method(print_readable,onnx_pb2.ValueInfoProto)
-export(check)
-export(load_from_file)
-export(load_from_string)
-export(make_attribute)
-export(make_graph)
-export(make_node)
-export(make_tensor)
-export(make_tensor_value_info)
-export(print_readable)
diff --git a/README.md b/README.md
@@ -4,6 +4,6 @@ This is the R Interface to [Open Neural Network Exchange (ONNX)](https://onnx.ai
 to choose the right tools as their project evolves. ONNX provides an open source format for AI models, both deep learning and traditional ML. It defines an extensible computation graph model, as well as definitions of built-in operators and standard
 data types. Currently we focus on the capabilities needed for inferencing (scoring).
 
-ONNX is [widely supported](http://onnx.ai/supported-tools) and can be found in many frameworks, tools, and hardware. Enabling interoperability between different frameworks and streamlining the path from research to production helps increase the speed of innovation in the AI community. 
+ONNX is [widely supported](https://onnx.ai/supported-tools) and can be found in many frameworks, tools, and hardware. Enabling interoperability between different frameworks and streamlining the path from research to production helps increase the speed of innovation in the AI community. 
 
-Please visit [here](https://onnx.ai/onnx-r) for tutorials and API reference for using ONNX in R.
+Please visit [here](https://onnx.ai/onnx-r/) for tutorials and API reference for using ONNX in R.
diff --git a/docs/404.html b/docs/404.html
diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html
diff --git a/docs/articles/index.html b/docs/articles/index.html
diff --git a/docs/articles/onnx_model_zoo.html b/docs/articles/onnx_model_zoo.html
diff --git a/docs/articles/onnx_model_zoo_files/header-attrs-2.7/header-attrs.js b/docs/articles/onnx_model_zoo_files/header-attrs-2.7/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/articles/protobufs.html b/docs/articles/protobufs.html
diff --git a/docs/articles/protobufs_files/header-attrs-2.7/header-attrs.js b/docs/articles/protobufs_files/header-attrs-2.7/header-attrs.js
@@ -0,0 +1,12 @@
+// Pandoc 2.9 adds attributes on both header and div. We remove the former (to
+// be compatible with the behavior of Pandoc < 2.8).
+document.addEventListener('DOMContentLoaded', function(e) {
+  var hs = document.querySelectorAll("div.section[class*='level'] > :first-child");
+  var i, h, a;
+  for (i = 0; i < hs.length; i++) {
+    h = hs[i];
+    if (!/^h[1-6]$/i.test(h.tagName)) continue;  // it should be a header h1-h6
+    a = h.attributes;
+    while (a.length > 0) h.removeAttribute(a[0].name);
+  }
+});
diff --git a/docs/authors.html b/docs/authors.html
diff --git a/docs/index.html b/docs/index.html
diff --git a/docs/news/index.html b/docs/news/index.html
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
@@ -4,5 +4,5 @@ pkgdown_sha: ~
 articles:
   onnx_model_zoo: onnx_model_zoo.html
   protobufs: protobufs.html
-last_built: 2021-04-16T18:05Z
+last_built: 2021-04-16T18:31Z
 
diff --git a/docs/reference/checker.html b/docs/reference/checker.html
diff --git a/docs/reference/index.html b/docs/reference/index.html
diff --git a/docs/reference/load_from_file.html b/docs/reference/load_from_file.html
diff --git a/docs/reference/load_from_string.html b/docs/reference/load_from_string.html
diff --git a/docs/reference/maker.html b/docs/reference/maker.html
diff --git a/docs/reference/onnx.html b/docs/reference/onnx.html
diff --git a/docs/reference/print_readable.html b/docs/reference/print_readable.html
diff --git a/vignettes/onnx_model_zoo.Rmd b/vignettes/onnx_model_zoo.Rmd
@@ -28,7 +28,7 @@ In this tutorial, you'll learn how to use a backend to load and run a ONNX model
 
 First, install ONNX TensorFlow backend by following the instructions [here](https://github.com/onnx/onnx-tensorflow). 
 
-Then download and extract the tarball of [ResNet-50](https://github.com/onnx/models/tree/master/resnet50).
+Then download and extract the tarball of [ResNet-50](https://github.com/onnx/models/tree/master/vision/classification/resnet).
 
 Next, we load the necessary R and Python libraries (via [reticulate](https://rstudio.github.io/reticulate/)):