Update CoreML-ExecutionProvider.md supported operators (#16842)

docs/execution-providers/CoreML-ExecutionProvider.md

@@ -96,16 +96,27 @@ Following ops are supported by the CoreML Execution Provider,
 |ai.onnx:Concat||
 |ai.onnx:Conv|Only 1D/2D Conv is supported.<br/>Weights and bias should be constant.|
 |ai.onnx:DepthToSpace|Only DCR mode DepthToSpace is supported.|
+|ai.onnx:Div||
+|ai.onnx:Flatten||
 |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.<br/>Input pads and constant_value should be constant.<br/>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.<br/>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||
 |ai.onnx:Sigmoid||
 |ai.onnx:Squeeze||
+|ai.onnx:Sqrt||
+|ai.onnx:Sub||
 |ai.onnx:Tanh||
 |ai.onnx:Transpose||