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Original file line number Diff line number Diff line change
Expand Up @@ -101,7 +101,7 @@
"of an order of magnitude or more are common, and they grow with the size of the dataset and model. If you have\n",
"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 autolens[jax]`), every\n",
"You do not need to do anything to switch this on. JAX installs with `autolens` 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",
"`al.AnalysisImaging(dataset=dataset, use_jax=False)` (or by setting the environment variable\n",
Expand Down Expand Up @@ -209,7 +209,7 @@
"metadata": {},
"source": [
"\n",
"from autolens import setup_notebook; setup_notebook()"
"from autolens import setup_notebook; setup_notebook()\n"
],
"outputs": [],
"execution_count": null
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Original file line number Diff line number Diff line change
Expand Up @@ -96,7 +96,7 @@
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 autolens[jax]`), every
You do not need to do anything to switch this on. JAX installs with `autolens` 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
`al.AnalysisImaging(dataset=dataset, use_jax=False)` (or by setting the environment variable
Expand Down
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