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Update CoreML supported ops lists (#21627)

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### Description
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Update CoreML ops lists with recent additions.


### Motivation and Context
<!-- - Why is this change required? What problem does it solve?
- If it fixes an open issue, please link to the issue here. -->

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Co-authored-by: Edward Chen <18449977+edgchen1@users.noreply.github.com>
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Scott McKay 2024-09-06 09:29:18 +10:00 committed by GitHub
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docs/execution-providers/CoreML-ExecutionProvider.md
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@ -128,10 +128,12 @@ Operators that are supported by the CoreML Execution Provider when a NeuralNetwo
|ai.onnx.ReduceSum||
|ai.onnx:Relu||
|ai.onnx:Reshape||
|ai.onnx:Resize||
|ai.onnx:Resize|4D input.<br/>`coordinate_transformation_mode` == `asymmetric`.<br/>`mode` == `linear` or `nearest`.<br/>`nearest_mode` == `floor`.<br/>`exclude_outside` == false<br/>`scales` or `sizes` must be constant.|
|ai.onnx:Shape|Attribute `start` with non-default value is not supported.<br/>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||
@ -147,15 +149,26 @@ Operators that are supported by the CoreML Execution Provider when a MLProgram m
|ai.onnx:Add||
|ai.onnx:AveragePool|Only 2D Pool is supported currently. 3D and 5D support can be added if needed.|
|ai.onnx:Clip||
|ai.onnx:Concat||
|ai.onnx:Conv|Only 1D/2D Conv is supported.<br/>Bias if provided must be constant.|
|ai.onnx:ConvTranspose|Weight and bias must be constant.<br/>padding_type of SAME_UPPER/SAME_LOWER is not supported.<br/>kernel_shape must have default values.<br/>output_shape is not supported.<br/>output_padding must have default values.|
|ai.onnx.DepthToSpace|If 'mode' is 'CRD' the input must have a fixed shape.|
|ai.onnx:Div||
|ai.onnx:Gemm|Input B must be constant.|
|ai.onnx:GlobalAveragePool|Only 2D Pool is supported currently. 3D and 5D support can be added if needed.|
|ai.onnx:GlobalMaxPool|Only 2D Pool is supported currently. 3D and 5D support can be added if needed.|
|ai.onnx:GridSample|4D input.<br/>'mode' of 'linear' or 'zeros'.<br/>(mode==linear && padding_mode==reflection && align_corners==0) is not supported.|
|ai.onnx.LeakyRelu||
|ai.onnx:MatMul|Only support for transA == 0, alpha == 1.0 and beta == 1.0 is currently implemented.|
|ai.onnx:MaxPool|Only 2D Pool is supported currently. 3D and 5D support can be added if needed.|
|ai.onnx:Mul||
|ai.onnx:Pow|Only supports cases when both inputs are fp32.|
|ai.onnx:Relu||
|ai.onnx:Reshape||
|ai.onnx:Resize|See [resize_op_builder.cc](https://github.com/microsoft/onnxruntime/blob/main/onnxruntime/core/providers/coreml/builders/impl/resize_op_builder.cc) implementation. There are too many permutations to describe the valid combinations.|
|ai.onnx.Slice|starts/ends/axes/steps must be constant initializers.|
|ai.onnx.Split|If provided, `splits` must be constant.|
|ai.onnx:Sub||
|ai.onnx:Sigmoid||
|ai.onnx:Tanh||
|ai.onnx:Transpose||