Releases: LukasHedegaard/continual-inference
Releases · LukasHedegaard/continual-inference
Fix ptflops module registration
Fixed
- FLOPs module registration compatibility with ptflops >=v0.6.8.
Upgraded Lambda
Added
- Call-mode specific functions in
co.Lambda
Update Lambda and auto convertible modules
Added
- Support for functor in
co.Lambda
Remove
nn.LayerNorm
from automatically convertible modules
Update auto convertible nn modules
Added nn.LayerNorm
to automatically convertible modules
`ParallelDispatch` module, updated prints and minor bugfixes
Added
ParallelDispatch
module.Conditional
predicate print in__repr__
.
Fixed
- Sequential
padding
computation. Lambda
__repr__
function prints.
Removed
- CI testing for python v3.6.
Receptive field, Phantom padding, Reshape, Lambda update and various fixes
Added
- Added
phantom_padding
toResidual
. - Added
receptive_field
property. - Added
Reshape
module.
Changed
- Rename
forward_shrink
argument toauto_shrink
inDelay
. - Torch requirement to v1.9.
- Replace
Lambda
unsqueeze_step with takes_time and new default to False.
Fixed
padding
property in sequence.delay
property in sequence.strict
mode inload_state_dict
.
Removed
- Assertion error in
BroadcastReduce
for modules with different delays.
Add `forward_shrink` option to `Delay` and `Residual`
Added
- Add
forward_shrink
option toDelay
andResidual
.
GPU support and Constant modules
Added
- Add
Constant
. - Add
Zero
. - Add
One
.
Fixed
co.ConvXd
cuda compatibility.
Add `flatten_state_dict` state variable.
Added
- Add
flatten_state_dict
state variable.
Removed
- Debug message for Convolutions with padding.
Fix `call_mode` for `co.Linear`
Fixed
call_mode
forLinear
.