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+# Optimized ops in Kelvin TFLM
+
+The following table is a list of currently optimized ops in Kelvin TFLM. The
+relevant source code can be found located [here](https://opensecura.googlesource.com/sw/kelvin/+/refs/heads/master/tflm/opt).
+
+## Non-Convolutional Ops
+
+| Op              | Supported Data Type | Comments                                  |
+| :-------------- | :-----------------: | :---------------------------------------- |
+| Elementwise Add | s8, s16, s32        | Rescaling with offset and shift, clamping |
+| Leaky ReLU      | s8, s16             |                                           |
+| Max Pooling     | s8                  |                                           |
+
+## Convolutional Ops
+
+| Op               | Weights | Activation | Bias | Comments                                |
+| :--------------- | :-----: | :--------: | :--: | :-------------------------------------- |
+| Depthwise Conv2d | s8      |     s16    | s64  | filter size 3x1                         |
+| Depthwise Conv2d | s8      |     s8     | s64  | output depth % 32 == 0                  |
+| Conv2d           | s8      |     s16    | s32  |                                         |
+| Conv2d           | s8      |     s16    | s64  | filter size 1x1, filter depth % 32 == 0 |
+| Conv2d           | s8      |     s16    | s64  | filter size 1xn, grouped or ungroups    |
+| Conv2d           | s8      |     s8     | s32  | filter size 1x1, output depth % 8 == 0  |
+| Conv2d           | s8      |     s8     | s32  | filter depth % 32 == 0                  |
+| Conv2d           | s8      |     s8     | s32  | filter shape  == (48x3x1x48)            |