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docs: JAX installs by default — retire [jax]-extra install prose (PyAutoLens#702) #67

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Jammy2211 merged 1 commit into from
Aug 19, 2026
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docs: JAX installs by default — retire [jax]-extra install prose (PyAutoLens#702) #67

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4 changes: 2 additions & 2 deletions notebooks/chapter_2_modeling/tutorial_8_need_for_speed.ipynb
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Expand Up @@ -102,7 +102,7 @@
"over CPU of an order of magnitude or more are common, and they grow with the size of the dataset and model. If you\n",
"have access to a GPU (even a modest laptop GPU), it is the single biggest speed-up available to you.\n",
"\n",
"You do not need to do anything to switch this on. If JAX is installed (`pip install autogalaxy[jax]`), every\n",
"You do not need to do anything to switch this on. JAX installs with `autogalaxy` by default, and every\n",
"`AnalysisImaging` object we have created in this chapter defaults to `use_jax=True` and the search compiles and\n",
"batches the likelihood function automatically. You can force the plain NumPy path with\n",
"`ag.AnalysisImaging(dataset=dataset, use_jax=False)` (or by setting the environment variable\n",
Expand Down Expand Up @@ -210,7 +210,7 @@
"metadata": {},
"source": [
"\n",
"from autogalaxy import setup_notebook; setup_notebook()"
"from autogalaxy import setup_notebook; setup_notebook()\n"
],
"outputs": [],
"execution_count": null
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2 changes: 1 addition & 1 deletion scripts/chapter_2_modeling/tutorial_8_need_for_speed.py
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Expand Up @@ -97,7 +97,7 @@
over CPU of an order of magnitude or more are common, and they grow with the size of the dataset and model. If you
have access to a GPU (even a modest laptop GPU), it is the single biggest speed-up available to you.

You do not need to do anything to switch this on. If JAX is installed (`pip install autogalaxy[jax]`), every
You do not need to do anything to switch this on. JAX installs with `autogalaxy` by default, and every
`AnalysisImaging` object we have created in this chapter defaults to `use_jax=True` and the search compiles and
batches the likelihood function automatically. You can force the plain NumPy path with
`ag.AnalysisImaging(dataset=dataset, use_jax=False)` (or by setting the environment variable
Expand Down
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