Releases: Dobiasd/frugally-deep
Releases · Dobiasd/frugally-deep
v0.15.22-p0
- Added support for
AdditiveAttention
layer - Added support for
use_scale
andscore_mode
concat
inAttention
layer - Fixed softmax implementation
- Fixed compiler errors with Visual Studio 2022 (C++20)
- Avoid unnecessarily compiling the TensorFlow model when loading it for conversion
v0.15.21-p0
- Added support for CategoryEncoding layer with output_mode one_hot
- Added support for Attention layer
- Fixed zero variance in a Normalization layer
- Added support for keepdims in global pooling layers
v0.15.20-p0
- Improved the performance of the
Dense
layer - Fixed variance-size assertion in the
Normalization
layer - Added support for new layer types:
ActivityRegularization
CategoryEncoding
CenterCrop
Cropping3D
Dot
Minimum
Resizing
ZeroPadding3D
v0.15.19-p0
- Fixes interpretation of axis value in
Normalization
layer (issue 357)
v0.15.18-p0
- Improved performance (with
strides==(1, 1)
) ofConv2D
,DepthwiseConv2D
, andSeparableConv2D
. - JSON export: Reduced memory usage and output.file size.
v0.15.17-p0
- Added support for the
Rescaling
layer.
v0.15.16-p0
- Fixed missing
inline
keyword.
v0.15.15-p0
- Improved performance of SeparableConv2D and DepthwiseConv2D layers
v0.15.14-p0
- improved checks and docs
- added support for
FixedDropout
(noop) - added support for tensor expansion in
Multiply
layer
v0.15.13-p0
- Added support for
Normalization
layer.