diff --git a/docs/execution-providers/NNAPI-ExecutionProvider.md b/docs/execution-providers/NNAPI-ExecutionProvider.md index 458f847e06..8a7f115e69 100644 --- a/docs/execution-providers/NNAPI-ExecutionProvider.md +++ b/docs/execution-providers/NNAPI-ExecutionProvider.md @@ -98,6 +98,7 @@ Following ops are supported by the NNAPI Execution Provider, |ai.onnx:Abs|| |ai.onnx:Add|| |ai.onnx:AveragePool|Only 2D Pool is supported.| +|ai.onnx:BatchNormalization|| |ai.onnx:Cast|| |ai.onnx:Clip|| |ai.onnx:Concat|| @@ -114,7 +115,9 @@ Following ops are supported by the NNAPI Execution Provider, |ai.onnx:GlobalAveragePool|Only 2D Pool is supported.| |ai.onnx:GlobalMaxPool|Only 2D Pool is supported.| |ai.onnx:Identity|| +|ai.onnx:LeakyRelu|| |ai.onnx:Log|| +|ai.onnx:LRN|| |ai.onnx:MatMul|| |ai.onnx:MaxPool|Only 2D Pool is supported.| |ai.onnx:Max|| @@ -127,6 +130,7 @@ Following ops are supported by the NNAPI Execution Provider, |ai.onnx:QLinearConv|Only 2D Conv is supported.
Weights and bias should be constant.
All quantization scales and zero points should be constant.| |ai.onnx:QLinearMatMul|All quantization scales and zero points should be constant.| |ai.onnx:QuantizeLinear|All quantization scales and zero points should be constant.| +|ai.onnx:ReduceMean|| |ai.onnx:Relu|| |ai.onnx:Reshape|| |ai.onnx:Resize|Only 2D Resize is supported.| @@ -134,6 +138,7 @@ Following ops are supported by the NNAPI Execution Provider, |ai.onnx:Sin|| |ai.onnx:Slice|| |ai.onnx:Softmax|| +|ai.onnx:Split|Number of splits must evenly divide split axis size. Input split should be constant if provided.| |ai.onnx:Sqrt|| |ai.onnx:Squeeze|Input axes should be constant.| |ai.onnx:Sub||