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The source code of DeepSpeedEngineWrapper:
```
class DeepSpeedEngineWrapper:
"""
Internal wrapper for deepspeed.runtime.engine.DeepSpeedEngine. This is used to follow conventional training…
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Hi,
I was wondering what precision these models were trained at? Float32? Float16? Bfloat16? With mixed precision?
Thanks.
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A lot of Models are generating return type exceptions for us in our application:
PHP 8.1.4
Mux PHP SDK 3.3.1
```
Return type of MuxPhp\Models\AssetResponse::offsetExists($offset) should either…
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Issue overview
--------------
The use of the end-use subcategories is used extensively to show the disaggregation of energy in building models. Currently the user can define end-use subcategories fo…
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### Describe the bug
When I grab a model using "from_pretrained" and specifying the datatype, the returned model's parameters do not have that type.
This causes problems with flax text to image …
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When constructing a single workflow, I can pass a "model formula" via the `formula` argument of `add_model()`. I'd love to be able to do that when constructing a workflow set. This matters for models …
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(m,c) should be drawn from a multivariate normal distribution
- [x] finish JAGS model (for separate models)
- [ ] think about reasonable priors
updated goals:
- [ ] resolve error in mixed model …
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### Description of feature
We would like to extend this pipeline logic to allow processing of data and model described bellow. Can you suggest how we should approach this topic?
Consider the follo…
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**Describe the bug**
Gemm kernels with the following configurations hang for specific gemm shapes.
Type: uint4_t * half_t
Tile: m=16,n=2560,k=8192
Cluster: 1x1x1
Kernel Schedule: KernelTmaWarpSpeci…
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```python
class Event(models.ClickhouseModel):
class Action(IntegerChoices):
PASS = 1
DROP = 2
ALERT = 3
ip = models.GenericIPAddressField(default="::")
ipv4…