Comments (1)
We don't have any plans to add this to Nengo OCL at the moment, as we expect the performance benefits to be minor if any. Low precision floats can be used in Nengo core and Nengo DL for anyone that wants to experiment.
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Related Issues (20)
- nengo_ocl installation HOT 2
- Add a way to register new plans
- Not compatible with Nengo 2.8 HOT 1
- Unexpected behaviour when using indexed connections from nengo.Nodes to EnsembleArray neurons HOT 5
- nengo_ocl in the nengo GUI HOT 1
- Support LIF.min_voltage HOT 1
- nengoocl profile HOT 1
- Incompatible with Nengo 3 HOT 16
- Multiple GPU support HOT 1
- Multiple sliced Neuron->Neuron connections do not work properly
- Adopt Nengo Bones HOT 1
- Write documentation HOT 1
- Document supported/tested environments
- Support BsrDotInc in order to support Nengo's optimizer HOT 2
- Pre-slicing with a transform matrix leads to incorrect connections HOT 2
- Host documentation on nengo.ai HOT 3
- Set up TravisCI
- block_impl geometry is slow
- ELLPACK for sparse multiply HOT 3
- `np.bool` deprecated in Numpy >= 1.20
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