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[jax_intro] Update %time magic with %timeit #207

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[jax_intro] Update %time magic with %timeit #207

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15 changes: 11 additions & 4 deletions lectures/jax_intro.md
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@ jupytext:
extension: .md
format_name: myst
format_version: 0.13
jupytext_version: 1.16.1
jupytext_version: 1.16.6
kernelspec:
display_name: Python 3 (ipykernel)
language: python
Expand Down Expand Up @@ -348,7 +348,15 @@ The compiled versions for the previous array size are still available in memory
too, and the following call is dispatched to the correct compiled code.

```{code-cell} ipython3
%time f(x).block_until_ready()
%timeit f(x).block_until_ready()
```

```{note}
Note that we use the [`%timeit` magic](https://ipython.readthedocs.io/en/stable/interactive/magics.html#magic-timeit)
here to get more reliable timing statistics.

It runs the code multiple times to calculate both mean and standard deviation,
which takes longer but provides more accurate measurements than a single run.
```

### Compiling the outer function
Expand All @@ -368,14 +376,13 @@ f_jit(x)
And now let's time it.

```{code-cell} ipython3
%time f_jit(x).block_until_ready()
%timeit f_jit(x).block_until_ready()
```

Note the speed gain.

This is because the array operations are fused and no intermediate arrays are created.


Incidentally, a more common syntax when targetting a function for the JIT
compiler is

Expand Down