Comments (3)
@orsharir Regarding estimating observables is evaluate
good enough ?
from flowket.
@orsharir i think the current implementation does support good estimates of the validation via the mini_batch_size
property of VariationalMonteCarlo
so i guess the bottleneck is the sampler.
To overcome this i implementing now MiniBatchSamplingDecorator
that accumulate sampler batches .
Is this solution sound good ?
from flowket.
I realaized that all the samplers except the FastAutoregressiveSampler
already support mini batching so i implement this also for FastAutoregressiveSampler
from flowket.
Related Issues (14)
- Tuple / List normalization issue HOT 1
- wrong max_number_of_local_connections fixing and continue recursively HOT 1
- Add a simple "wrapper"-like function or general class for easy autoregressive model HOT 1
- Observable design HOT 1
- J1J2 exact example leads to NaN values HOT 2
- Compatibility with TF2 HOT 4
- Tensorboard reporting samples instead of iterations HOT 1
- Tensorboard callback breaks on TF=1.14 (and probably TF2) HOT 2
- Change name of project/package from PyKet to FlowKet in all relevant places HOT 2
- Stochastic reconfiguration for autoregressive models? HOT 3
- Running Flowket under CPU parallelization with MPI HOT 1
- Cannot pip install flowket! HOT 2
- module named error HOT 9
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from flowket.