Whats new

Support for PyTorch 1.6
concat with interleave option
New Torch ops support added
- acos
- acosh
- argsort
- asin
- asinh
- atan
- atan
- atanh
- avg_pool3d
- bmm
- ceil
- cos
- cosh
- cumsum
- elu
- exp
- exp2
- floor
- gather
- hardsigmoid
- is_floating_point
- leaky_relu
- log
- max_pool
- prelu
- reciprocal
- relu6
- round
- rsqrt
- sign
- sin
- sinh
- softplus
- softsign
- sqrt
- square
- tan
- tanh
- threshold
- true_divide
Improved TF2 test coverage
MIL definition update
- LSTM activation function moved from TupleInput to individual inputs
Improvements in MIL infrastructure

Known Issues

TensorFlow 2 model conversion is supported for models with 1 concrete function.
Conversion for TensorFlow and PyTorch models with quantized weights is currently not supported.