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G analytics #2449

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merged 8 commits into from
Jul 12, 2023
Merged

G analytics #2449

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0f6b642
Adding Google Analytics
sekyondaMeta Jun 23, 2023
e9693c3
Merge branch 'pytorch:master' into gAnalytics
sekyondaMeta Jul 6, 2023
ddc77b0
Update large_model_inference.md
sekyondaMeta Jul 6, 2023
582a1bd
Spellcheck update
sekyondaMeta Jul 6, 2023
62bdb94
Update conf.py
sekyondaMeta Jul 6, 2023
14d82a9
Update conf.py
sekyondaMeta Jul 6, 2023
7cdf30e
Update conf.py
sekyondaMeta Jul 6, 2023
07a5479
Merge branch 'pytorch:master' into gAnalytics
sekyondaMeta Jul 6, 2023
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4 changes: 2 additions & 2 deletions docs/conf.py
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Expand Up @@ -11,7 +11,7 @@
#
# All configuration values have a default; values that are commented out
# serve to show the default.

#
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
Expand Down Expand Up @@ -131,6 +131,7 @@
"collapse_navigation": True,
"display_version": True,
"logo_only": True,
"analytics_id": "GTM-T8XT4PS",
}

html_logo = "_static/img/pytorch-logo-dark.svg"
Expand Down Expand Up @@ -239,7 +240,6 @@ def setup(app):

# Register custom directives


rst.directives.register_directive("devices", SupportedDevices)
rst.directives.register_directive("properties", SupportedProperties)
rst.directives.register_directive("customcardstart", CustomCardStart)
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98 changes: 0 additions & 98 deletions docs/indexOLD.md
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4 changes: 2 additions & 2 deletions docs/large_model_inference.md
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Expand Up @@ -12,7 +12,7 @@ In addition to this default behavior, TorchServe provides the flexibility for us

Using Pippy integration as an example, the image below illustrates the internals of the TorchServe large model inference.

![ts-lmi-internal](images/ts-lmi-internal.png)
![ts-lmi-internal](https://raw.githubusercontent.com/pytorch/serve/master/docs/images/ts-lmi-internal.png)

## PiPPy (PyTorch Native solution for large model inference)

Expand Down Expand Up @@ -186,7 +186,7 @@ torch-model-archiver --model-name bloom --version 1.0 --handler deepspeed_handle
#### Tune "[responseTimeout](https://github.com/pytorch/serve/blob/5ee02e4f050c9b349025d87405b246e970ee710b/docs/configuration.md?plain=1#L216)" (see [model config YAML file](https://github.com/pytorch/serve/blob/5ee02e4f050c9b349025d87405b246e970ee710b/model-archiver/README.md?plain=1#L164)) if high model loading or inference latency causes response timeout.

#### Tune torchrun parameters
User is able to tune torchrun parameters in [model config YAML file](https://github.com/pytorch/serve/blob/2f1f52f553e83703b5c380c2570a36708ee5cafa/model-archiver/README.md?plain=1#L179). The supported parameters are defined at [here](https://github.com/pytorch/serve/blob/2f1f52f553e83703b5c380c2570a36708ee5cafa/frontend/archive/src/main/java/org/pytorch/serve/archive/model/ModelConfig.java#L329). For example, by default, `OMP_NUMNER_T?HREADS` is 1. It can be modified in the YAML file.
User is able to tune torchrun parameters in [model config YAML file](https://github.com/pytorch/serve/blob/2f1f52f553e83703b5c380c2570a36708ee5cafa/model-archiver/README.md?plain=1#L179). The supported parameters are defined at [here](https://github.com/pytorch/serve/blob/2f1f52f553e83703b5c380c2570a36708ee5cafa/frontend/archive/src/main/java/org/pytorch/serve/archive/model/ModelConfig.java#L329). For example, by default, `OMP_NUMBER_THREADS` is 1. It can be modified in the YAML file.
```yaml
#frontend settings
torchrun:
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1 change: 1 addition & 0 deletions ts_scripts/spellcheck_conf/wordlist.txt
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Expand Up @@ -1062,3 +1062,4 @@ XLA
inferentia
ActionSLAM
statins
chatGPT
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