Skip to content

Release 0.6.1
Compare
Choose a tag to compare
@drasmuss drasmuss released this 07 Mar 21:57
· 587 commits to main since this release
v0.6.1
20ffc68

Added

  • Added TensorFlow implementation for nengo.SpikingRectifiedLinear
    neuron type.

Changed

  • Optimizer variables (e.g., momentum values) will only be initialized the first time that optimizer is passed to sim.train. Subsequent calls to sim.train will resume with the values from the previous call.
  • Low-level simulation input/output formats have been reworked to make them slightly easier to use (for users who want to bypass sim.run or sim.train and access the TensorFlow session directly).
  • Batch dimension will always be first (if present) when checking model parameters via sim.data.
  • TensorFlow ops created within the Simulator context will now default to the same device as the Simulator.
  • Update minimum Nengo version to 2.7.0

Fixed

  • Better error message if training data has incorrect rank
  • Avoid reinstalling TensorFlow if one of the nightly build packages is already installed
  • Lowpass synapse can now be applied to multidimensional inputs
  • TensorNodes will no longer be built into the default graph when checking their output dimensionality.

Removed

  • Removed utils.cast_dtype function
Assets 2
Loading