Comments (2)
Modules relying on other python modules (like gpflowr) should do the same
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The dev branch now warns on installation and errors on use of define_model()
if the visible TensorFlow installation pre-dates 1.0.0, with this (example) message:
greta requires tensorflow version 1.0.0 or higher, but you have version 0.9.0
You can write models, but not sample from them.
See https://www.tensorflow.org/install for installation instructions.
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Related Issues (20)
- Implement new TFP optimisers?
- Extract convergence and iteration information from TF2 optimisers
- Deprecate optimisers accessed through compat?
- Improve documentation on non-independent sampling using greta_array()
- install_greta_deps() claims success when it has actually failed (windows) HOT 3
- Creating 'greta-env' conda environment using python v3.7 failed HOT 2
- TF2 Errors in `test_inference.R` - bad proposals are not rejected HOT 1
- TF2 error - Failure (`test_inference.R:293)`: mcmc supports rwmh sampler with normal/uniform proposals HOT 3
- TF2 error - Failure (`test_inference.R:317`): mcmc supports slice sampler with single precision models
- TF2 error - Failure (`test_inference.R:351`): numerical issues are handled in mcmc
- TF2 - Failure (`test_inference.R:375`): mcmc works in parallel - cannot find TF installation when using `future`
- TF2 error - "adam" optimiser doesn't converge
- TF2 error - "iterations" object not found for `adagrad_da` `proximal_adagrad` `proximal_gradient_descent` HOT 2
- Implement `outer` function in greta
- `dim<-` doesn't alway create an unknowns object
- error retrieving diagonal from rectangular matrix HOT 2
- Implement helper function to provide better initial values HOT 2
- M1 TF2 cholesky factors all out of whack in calculate HOT 4
- Alternative backends with greta (e.g., torch, xtensor) HOT 1
- Fix `compare_iid_samples` for wishart
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