coremltools 4.0b4
Pre-release
Pre-release
-
Several bug fixes, including:
- Fix in
rename_feature
API, when used with a neural network model with image inputs - Bug fixes in conversion of torch ops such as layer norm, flatten, conv transpose, expand, dynamic reshape, slice etc.
- Fixes when converting from PyTorch 1.6.0
- Fixes in supporting
.pth
extension, in addition to.pt
extension , for torch conversion - Fixes in TF2 LSTM with dynamic batch size
- Fixes in control flow models with TF 2.3.0
- Fixes in numerical issues with the
inverse
layer, on a few devices, by increasing the lower bound of the output
- Fix in
-
Added conversion functions for PyTorch ops such as neg, sum, repeat, where, adaptive_max_pool2d, floordiv etc
-
Update Doc strings for several MIL ops
-
Support for TF1 models with fake quant ops when used with convolution ops
-
Several new MIL optimization passes such as no-op elimination, pad and conv fusion etc.