Releases: Dobiasd/frugally-deep
Releases · Dobiasd/frugally-deep
v0.7.7-p0
- Support for conversion of YOLO models
- Support for models with multiple embedding layers with different
input_dim
s
v0.7.6-p0
Support for AlphaDropout
, GaussianDropout
SpatialDropout1D
, SpatialDropout2D
and SpatialDropout3D
.
v0.7.5-p0
- Add support for standalone
Softmax
layer.
- Fix import of standalone
ReLU
layer without maximum value.
v0.7.4-p0
Support for Permute
layer added.
v0.7.3-p0
Fix invalid shape of bias matrix in GRU for reset_after=False
v0.7.2-p0
Calculate hash from model weights and store to JSON
v0.7.1-p0
- Add support for
Embedding
layers
- Add support for
GRU
layers
- Fix missing
inline
s resulting in duplicate function definitions on some compilers
v0.7.0-p0
Adds support for the following layer types:
Bidirectional
LSTM
TimeDistributed
v0.6.0-p0
API-breaking change: Increase dimensionality of tensors from 3 to 5 (needed for future development, like LSTMs and TimeDistributed
):
tensor3
-> tensor5
shape_hwc
-> shape5
tensor3::get_yxz
-> tensor5::get
tensor3::set_yxz
-> tensor5::set
Feature:
- Enable dense layers for non-flattened input tensors.
Fix:
- Safeguard softmax implementation against NaNs.
v0.5.4-p0
- Slight performance improvements