Coreml_Supported_Neuralnetwork_Ops

|Operator|Note| |--------|------| |ai.onnx:Add|| |ai.onnx:ArgMax|| |ai.onnx:AveragePool|Only 2D Pool is supported.| |ai.onnx:BatchNormalization|| |ai.onnx:Cast|| |ai.onnx:Clip|| |ai.onnx:Concat|| |ai.onnx:Conv|Only 1D/2D Conv is supported.
Weights and bias should be constant.| |ai.onnx:DepthToSpace|Only DCR mode DepthToSpace is supported.| |ai.onnx:Div|| |ai.onnx:Flatten|| |ai.onnx:Gather|Input `indices` with scalar value is not supported.| |ai.onnx:Gemm|Input B should be constant.| |ai.onnx:GlobalAveragePool|Only 2D Pool is supported.| |ai.onnx:GlobalMaxPool|Only 2D Pool is supported.| |ai.onnx:LeakyRelu|| |ai.onnx:LRN|| |ai.onnx:MatMul|Input B should be constant.| |ai.onnx:MaxPool|Only 2D Pool is supported.| |ai.onnx:Mul|| |ai.onnx:Pad|Only constant mode and last two dim padding is supported.
Input pads and constant_value should be constant.
If provided, axes should be constant.| |ai.onnx:Pow|Only supports cases when both inputs are fp32.| |ai.onnx:PRelu|Input slope should be constant.
Input slope should either have shape [C, 1, 1] or have 1 element.| |ai.onnx:Reciprocal|| |ai.onnx.ReduceSum|| |ai.onnx:Relu|| |ai.onnx:Reshape|| |ai.onnx:Resize|4D input.
`coordinate_transformation_mode` == `asymmetric`.
`mode` == `linear` or `nearest`.
`nearest_mode` == `floor`.
`exclude_outside` == false
`scales` or `sizes` must be constant.| |ai.onnx:Shape|Attribute `start` with non-default value is not supported.
Attribute `end` is not supported.| |ai.onnx:Sigmoid|| |ai.onnx:Slice|Inputs `starts`, `ends`, `axes`, and `steps` should be constant. Empty slice is not supported.| |ai.onnx:Softmax|| |ai.onnx:Split|If provided, `splits` must be constant.| |ai.onnx:Squeeze|| |ai.onnx:Sqrt|| |ai.onnx:Sub|| |ai.onnx:Tanh|| |ai.onnx:Transpose||