[Relay] Fix TFlite frontend for unpack, stridedslice #10333
Merged
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We found this while converting an RNN model.
The relay tflite frontend use squeeze at converting unpack, but when the
unpack.axis=0,
Noneis passed to relay.squeeze(), which would squeezeall dimensions with length 1, causing different results from TFLite.
A possible fix might be, assign the unpack.axis as-is to relay.squeeze()
As for stridedslice, when the tflite frontend handles shrink_axis_mask,
the wrapped
beginshould be used, instead of the original one whichcan be negative. It can cause errors at
tvm/include/tvm/topi/detail/strided_slice.h
Line 140 in d65ff65
Related cases are also added to the python test.
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