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ENH: Use common file for GPU admonition #333

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eac1bbe
ENH: Use file for GPU admonition for single point of reference
mmcky Apr 12, 2023
cee4a93
Update location and populate lecture wide
mmcky Apr 12, 2023
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9 changes: 9 additions & 0 deletions lectures/_admonitions/gpu.md
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```{admonition} GPU
:class: warning

This lecture is accelerated via [hardware](status:machine-details) that has access to a GPU and JAX for GPU programming.

Free GPUs are available on Google Colab. To use this option, please click on the play icon top right, select Colab, and set the runtime environment to include a GPU.

Alternatively, if you have your own GPU, you can follow the [instructions](https://github.com/google/jax) for installing JAX with GPU support. If you would like to install jax running on the `cpu` only you can use `pip install jax[cpu]`
```
9 changes: 1 addition & 8 deletions lectures/kesten_processes.md
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Expand Up @@ -19,14 +19,7 @@ kernelspec:

# Kesten Processes and Firm Dynamics

```{admonition} GPU
:class: warning

This lecture is accelerated via [hardware](status:machine-details) that has access to a GPU and JAX for GPU programming.

Free GPUs are available on Google Colab. To use this option, please click on the play icon top right, select Colab, and set the runtime environment to include a GPU.

Alternatively, if you have your own GPU, you can follow the [instructions](https://github.com/google/jax) for installing JAX with GPU support. If you would like to install jax running on the `cpu` only you can use `pip install jax[cpu]`
```{include} _admonitions/gpu.md
```

```{index} single: Linear State Space Models
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9 changes: 1 addition & 8 deletions lectures/wealth_dynamics.md
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Expand Up @@ -19,14 +19,7 @@ kernelspec:

# Wealth Distribution Dynamics

```{admonition} GPU
:class: warning

This lecture is accelerated via [hardware](status:machine-details) that has access to a GPU and JAX for GPU programming.

Free GPUs are available on Google Colab. To use this option, please click on the play icon top right, select Colab, and set the runtime environment to include a GPU.

Alternatively, if you have your own GPU, you can follow the [instructions](https://github.com/google/jax) for installing JAX with GPU support. If you would like to install jax running on the `cpu` only you can use `pip install jax[cpu]`
```{include} _admonitions/gpu.md
```

```{contents} Contents
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