Change ops to raw_ops for linking
Formatting ops like `raw_ops.Add` will link ops automatically to corresponding documentation. PiperOrigin-RevId: 305010877 Change-Id: Ia6bda869aed9a3f49f78c11037b3e1ab89bb7289
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@ -85,30 +85,30 @@ TfLiteCoreMlDelegateDelete(delegate);
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Following ops are supported by the Core ML delegate.
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* `raw_ops.Add`
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* Add
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* Only certain shapes are broadcastable. In Core ML tensor layout,
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following tensor shapes are broadcastable. `[B, C, H, W]`, `[B, C, 1,
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1]`, `[B, 1, H, W]`, `[B, 1, 1, 1]`.
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* `raw_ops.AveragePool2D`
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* `raw_ops.Concat`
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* `raw_ops.Conv2D`
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* AveragePool2D
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* Concat
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* Conv2D
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* Weights and bias should be constant.
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* `raw_ops.DepthwiseConv2D`
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* DepthwiseConv2D
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* Weights and bias should be constant.
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* `raw_ops.Hardswish`
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* `raw_ops.Logistic` (aka Sigmoid)
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* `raw_ops.MaxPool2D`
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* `raw_ops.Mul`
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* Hardswish
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* Logistic (aka Sigmoid)
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* MaxPool2D
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* Mul
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* Only certain shapes are broadcastable. In Core ML tensor layout,
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following tensor shapes are broadcastable. `[B, C, H, W]`, `[B, C, 1,
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1]`, `[B, 1, H, W]`, `[B, 1, 1, 1]`.
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* `raw_ops.Relu`
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* `raw_ops.ReluN1To1`
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* `raw_ops.Relu6`
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* `raw_ops.Reshape`
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* `raw_ops.ResizeBilinear`
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* `raw_ops.SoftMax`
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* `raw_ops.Tanh`
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* Relu
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* ReluN1To1
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* Relu6
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* Reshape
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* ResizeBilinear
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* SoftMax
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* Tanh
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## Feedback
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