Cleanup of the book + feature flags #773
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louisfd
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Sep 6, 2023
| We call the `train` function defined earlier with a directory for artifacts, the configuration of the model (the number of digit classes is 10 and the hidden dimension is 512), the optimizer configuration which in our case will be the default Adam configuration, and the device which can be obtained from the backend. | ||
| In this example, we use the `WgpuBackend` which is compatible with any operating system and will use | ||
| the GPU. For other options, see the Burn README. This backend type takes the graphics api, the float | ||
| type and the int type as generic argument that will be used during the training. By leaving the |
| @@ -63,8 +60,8 @@ There are two major things going on in this code sample. | |||
| underlying low level implementations of tensor operations, allowing your new model to run on any | |||
| backend. Contrary to other frameworks, the backend abstraction isn't determined by a compilation | |||
| flag or a device type. This is important because you can extend the functionalities of a specific | |||
| backend (which will be covered in the more advanced sections of this book), and it allows for an | |||
| innovative autodiff system. You can also change backend during runtime, for instance to compute | |||
| backend, such as [backend extension section](../advanced/backend-extension), and it allows for an | |||
burn-book/src/overview.md
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| - [Building Blocks](./building-blocks): Dive deeper into Burn's core components, understanding how | ||
| they fit together. This knowledge forms the basis for more advanced usage and customization. | ||
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| - [Custom Training Loops](./custom-training-loop): Gain the power to customize your training loops, |
dae
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Sep 8, 2023
Accidental regression in tracel-ai#773
nathanielsimard
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Sep 8, 2023
Accidental regression in #773
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