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## Pytorch v1.0 EagerMode
A small background from Pytorch's site on Eager Mode vs Graph/JIT/FX mode:
>"PyTorch supports two execution modes [1]: eager mode and graph mode. In eager mode, operat…
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## Work Items
* Meta-device initialization / `_apply()` methods
- [x] Support initial meta-device initialization using `swap_tensors` path
- [ ] Remove manual padding logic after https://github…
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### Description
I am very excited to learn about eager workflows! Unfortunately, so far I have not managed to make them work for me outside of sandbox and local.
The documentation focuses mostl…
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In order to further optimize the development cycle eager execution will be big feature. The idea is that you can run partial pipelines / single components easily and get instant feedback on how your d…
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```
| ?- phrase(([a],{1}),[]).
no, unexpected.
type_error(callable,...). % expected, but not found
```
The idea is that the logical grammar rule expansion happens without any error conditi…
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Here I want to collect some things to be done to speed up eager-mode execution. Most of it did not really matter in graph-mode execution when those extra things are only executed once. That are extra …
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# Lista:
Lazy | eager execution
Multi-threaded
SIMD
Query optimization
Hybrid Streaming (larger-than-RAM datasets)
Entre otros.
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When I run example: dqn_cartpole.py, I get this error:
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Training for 50000 steps ...
2024-07-11 19:28:59.111713: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfu…
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in your code, tf.placeholder is not compatible with eager execution
but when I turn of eager mode, there is a new error "numpy() is only available when eager execution is enabled"
how can I resolve …
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AFAIK, only python currently supports tensorflow eager execution. This would make prototyping and designing dynamic graphs much easier, and would really leverage Julia's strengths in low-overhead loop…