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ONE - On-device Neural Engine
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Data Structures | |
| class | AbsOp |
| class | AddOp |
| class | AvgPool2DOp |
| class | BinaryElementwiseOp |
| class | BroadcastOp |
| class | CappedReluOp |
| class | ConcatOp |
| Description of tensor concatenation operation. More... | |
| class | ConstantOp |
| class | Conv2DOp |
| class | DeConv2DOp |
| class | DepthwiseConv2DOp |
| class | DequantizeOp |
| class | DivOp |
| class | EluOp |
| class | EqualOp |
| class | FullyConnectedOp |
| class | GatherOp |
| Gather operation as defined by ONNX spec. https://github.com/onnx/onnx/blob/master/docs/Operators.md#Gather https://www.tensorflow.org/api_docs/python/tf/gather. More... | |
| class | GreaterOp |
| class | HardSwishOp |
| class | InputOp |
| class | LeakyReluOp |
| class | LessOp |
| class | MaxOp |
| class | MaxPool2DOp |
| class | MulOp |
| class | OutputOp |
| class | PadOp |
| class | QuantizeOp |
| class | ReduceMeanOp |
| class | ReduceOp |
| class | ReluOp |
| class | ReshapeOp |
| class | ResizeOp |
| Resize operation scales are such that output = input * scale for each dimension and the number of dimensions matches. More... | |
| class | SigmoidOp |
| class | SliceOp |
| class | SoftmaxOp |
| description of softmax operation. More... | |
| class | SqrtOp |
| class | SqueezeOp |
| class | SubOp |
| class | TanhOp |
| class | TransposeOp |
| Tensor transpose operation. More... | |
Enumerations | |
| enum class | PaddingType { Explicit , Valid , SameLower , SameUpper } |
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