From a4f45cf04de2ae108c21cc90cfe08caa47aa6aeb Mon Sep 17 00:00:00 2001 From: Colm Donelan Date: Thu, 14 May 2020 07:45:44 +0100 Subject: MLCE-193 README and FAQ updates. * Add FAQ entry about ArmNN and ComputeLibrary mismatch * Add documentation reference to README that dynamically referrs to gh branch on GitHub. * Update ONNXSupport.mb to fix broken links. Signed-off-by: Colm Donelan Change-Id: I6390d87443c57cc43e27ea0a27f830f8fc25244d --- src/armnnOnnxParser/OnnxSupport.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'src/armnnOnnxParser') diff --git a/src/armnnOnnxParser/OnnxSupport.md b/src/armnnOnnxParser/OnnxSupport.md index 4a9645d67a..051e2c908b 100644 --- a/src/armnnOnnxParser/OnnxSupport.md +++ b/src/armnnOnnxParser/OnnxSupport.md @@ -76,8 +76,8 @@ The parser only supports constant weights in a fully connected layer. Arm tested these operators with the following ONNX fp32 neural networks: -* Simple MNIST. See the ONNX [MNIST documentation](https://github.com/onnx/models/tree/master/mnist) for more information. +* Mobilenet_v2. See the ONNX [MobileNet documentation](https://github.com/onnx/models/tree/master/vision/classification/mobilenet) for more information. -* Mobilenet_v2. See the ONNX [MobileNet documentation](https://github.com/onnx/models/tree/master/models/image_classification/mobilenet) for more information. +* Simple MNIST. This is no longer directly documented by ONNX. The model and test data may be downloaded [from the ONNX model zoo](https://onnxzoo.blob.core.windows.net/models/opset_8/mnist/mnist.tar.gz). -More machine learning operators will be supported in future releases. \ No newline at end of file +More machine learning operators will be supported in future releases as time allows. If you require specific operator support contribution are welcome. -- cgit v1.2.1