Open chunseoklee opened 1 year ago
tflite-micro | onert-micro | remark | |
---|---|---|---|
Abs | ✅ #10946 | @BalyshevArtem | |
Add | ✅ | ||
AddN | ✅ #10947 | @BalyshevArtem | |
ArgMax | ✅ #10948 | @BalyshevArtem | |
ArgMin | ✅ #10948 | @BalyshevArtem | |
AssignVariable | 🛑 | NOT SUPPORTED BY CIRCLE | |
AveragePool2D | ✅ #10961 | @BalyshevArtem | |
BatchToSpaceNd | ✅ #11620 | @BalyshevArtem | |
BroadcastArgs | 🛑 | NOT SUPPORTED BY CIRCLE | |
BroadcastTo | ✅ #11633 | @BalyshevArtem | |
CallOnce | 🛑 | NOT SUPPORTED BY CIRCLE | |
Cast | ✅ #11632 | @BalyshevArtem | |
Ceil | ✅ #11627 | @BalyshevArtem | |
CircularBuffer | 🛑 | NOT SUPPORTED BY CIRCLE | |
Concatenation | ✅ | ||
Conv2D | ✅ | ||
Cos | ✅ #11673 | @SlavikMIPT | |
CumSum | 🛑 | NOT SUPPORTED BY CIRCLE | |
DepthToSpace | ✅ #11622 | @BalyshevArtem | |
DepthwiseConv2D | ✅ #11556 | @BalyshevArtem | |
Dequantize | ✅ #11619 | @BalyshevArtem | |
DetectionPostProcess | 🛑 | NOT SUPPORTED BY CIRCLE | |
Div | ✅ #10962 | @BalyshevArtem | |
Elu | ✅ #10963 | @BalyshevArtem | |
Equal | ✅ #10978 | @BalyshevArtem | |
EthosU | 🛑 | NOT SUPPORTED BY CIRCLE | |
Exp | ✅ #10964 | @BalyshevArtem | |
ExpandDims | ✅ | ||
Fill | ✅ | ||
Floor | ✅ #11571 | @SlavikMIPT | |
FloorDiv | ✅ #11616 | @SlavikMIPT | |
FloorMod | ✅ #11617 | @SlavikMIPT | |
FullyConnected | ✅ | ||
Gather | ✅ | ||
GattherND | ✅ #11634 | @BalyshevArtem | |
Greater | ✅ #10978 | @BalyshevArtem | |
GreaterEqual | ✅ #10978 | @BalyshevArtem | |
AddHardSwish | 🛑 | NOT SUPPORTED BY CIRCLE | |
If | #11957 | @SlavikMIPT | |
L2Normalization | ✅ #11590 | @BalyshevArtem | |
L2Pool2D | ✅ #11636 | @BalyshevArtem | |
LeakyRelu | ✅ #10965 | @BalyshevArtem | |
Less | ✅ | ||
LessEqual | ✅ #10978 | @BalyshevArtem | |
Log | ✅ #11602 | @BalyshevArtem | |
LogicalAnd | ✅ #10998 | @BalyshevArtem | |
LogicalNot | ✅ #11662 | @SlavikMIPT | |
LogicalOr | ✅ #10998 | @BalyshevArtem | |
Logistic | ✅ | ||
LogSoftmax | ✅ #11624 | @BalyshevArtem | |
MaxPool2D | ✅ | ||
Maximum | ✅ #11628 | @SlavikMIPT | |
Mean | ✅ #11661 | @BalyshevArtem | |
Minimum | ✅ #11626 | @SlavikMIPT | |
MirrorPad | ✅ #11653 | @BalyshevArtem | |
Mul | ✅ | ||
Neg | ✅ #11045 | @Torrero | |
NotEqual | ✅ #10978 | @BalyshevArtem | |
Pack | ✅ | ||
Pad | ✅ #10999 | @BalyshevArtem | |
PadV2 | ✅ #10999 | @BalyshevArtem | |
Prelu | ✅ #11559 | @BalyshevArtem | |
Quantize | ✅ #11618 | @BalyshevArtem | |
ReadVariable | 🛑 | NOT SUPPORTED BY CIRCLE | |
Reduced_Prod | ✅ | not supported by TFLM | |
ReduceMax | ✅ #11635 | @BalyshevArtem | |
Relu | ✅ #10965 | @BalyshevArtem | |
Relu6 | ✅ #10965 | @BalyshevArtem | |
Reshape | ✅ | ||
ResizeBilinear | ✅ #11149 | @Torrero | |
ResizeNearestNeighbor | ✅ #11682 | @BalyshevArtem | |
Round | ✅#11625 | @BalyshevArtem | |
Rsqrt | ✅ https://github.com/Samsung/ONE/pull/11576 | @BalyshevArtem | |
SelectV2 | ✅ #11601 | @BalyshevArtem | |
Shape | ✅ | ||
Sin | ✅ #11672 | @SlavikMIPT | |
Slice | ✅ | ||
SoftMax | ✅ | ||
SpaceToBatchNd | ✅ #11621 | @BalyshevArtem | |
SpaceToDepth | ✅#11623 | @BalyshevArtem | |
Split | ✅ | ||
SplitV | ✅ | ||
Sqrt | ✅ #11586 | @BalyshevArtem | |
Square | ✅ #11671 | @SlavikMIPT | |
SquaredDifference | ✅ #11587 | @BalyshevArtem | |
Squeeze | ✅ #11696 | @Torrero | |
StridedSlice | ✅ | ||
sub | ✅ | ||
sum | ✅ #11655 | @BalyshevArtem | |
Svdf | ✅ #11680 | @BalyshevArtem | |
Tanh | ✅ | ||
Transpose | ✅ | ||
TransposeConv | ✅ https://github.com/Samsung/ONE/pull/11567 | @BalyshevArtem | |
UnidirectionalSequenceLSTM | ✅ | ||
Unpack | ✅ #11715 | @BalyshevArtem | |
VarHandle | 🛑 | NOT SUPPORTED BY CIRCLE | |
While | ✅ | ||
ZerosLike | ✅ #11615 | @BalyshevArtem |
@lemmaa I and @BalyshevArtem estimates that additional (98-25=73) ops can be supported within a month. Should we start this now ?
@chunseoklee , TizenRT 4.0 support is a higher priority for now. Perhaps top priority. Expansion of operator kernel coverage may start after TizenRT 4.0 porting is completed.