| # 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) | |
