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Add dense covariance matrix variational inference (which might be useful in e.g. last layer approaches).
Gradients should be taken directly on the triangular Cholesky factor to ensure the covarianc…
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Hi @nullplay,
I wanted to start a discussion on Finch-MLIR MLIR tensors API. In https://github.com/pydata/sparse/tree/main/sparse/mlir_backend we have an initial Tensor class which provides constr…
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Hello everybody!
In this [ArXiv paper](https://arxiv.org/abs/1607.04381) a ìn interesting training approach is shown.
Would it be useful to integrate it in DIGITS?
Cheers,
Tommaso
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#### Expected behaviour
The markers should have the size that have been configured.
#### Actual behaviour
The markers size as if no custom width/height were configured
#### Live demo with step…
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Hello there,
I was running this command`python3 -um dopamine.labs.redo.train --base_dir /tmp --gin_files dopamine/labs/redo/configs/dqn_dense.gin` trying to reproduce the results in the ReDO paper…
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My envs BEFORE:
- in conda virtual env
- NVIDIA Tesla V100
- python: 3.10
- torch 2.1.0 + cu118
- cudnn 8.7.0
- fbgemm_gpu 0.7.0
My envs AFTER:
- in conda virtual env
- NVIDIA Tesla V100
-…
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Tried to run rl with new gym wrapper code and it gives out the following error
`expected dense_input to have shape (1, 10) but got array with shape (1, 2)`
this is the code `import asyncio
from…
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Plus() currently doesn't support that, which limits its use for certain scenarios.
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The function `_parse_builtin_densearray_attr` does not accept dense arrays with element_type `IndexType`. On the other hand, the function `DenseArrayBase.create_dense_int_or_index` does accept `IndexT…