55bc3382cf
Allow for different behavior between training and eval ( #1213 )
...
* Forward with training.
* Do not use dropout on vgg evaluation.
2023-10-29 07:53:09 +01:00
99cf13e8e2
Add the sequential layer. ( #1136 )
2023-10-20 16:08:50 +01:00
000fa00e31
Expose the conv2d-transpose layers. ( #761 )
2023-09-07 06:04:52 +01:00
7529531056
Add the optimizer trait. ( #702 )
2023-09-01 12:55:39 +01:00
db59816087
Add a GRU layer. ( #688 )
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* Add a GRU layer.
* Fix the n gate computation.
2023-08-31 08:43:10 +01:00
3159982a89
Add a Dropout layer ( #676 )
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* Add a dropout layer.
* Add an actual layer.
2023-08-30 16:19:28 +01:00
f35b9f6baa
Add some recurrent neural networks ( #674 )
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* Add the rnn module.
* More LSTM.
* Implement the RNN forward pass.
* More forward pass for LSTM.
2023-08-30 13:27:09 +01:00
2d3fcad267
Simplify usage of the pool functions. ( #662 )
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* Simplify usage of the pool functions.
* Small tweak.
* Attempt at using apply to simplify the convnet definition.
2023-08-29 19:12:16 +01:00
e3d2786ffb
Add a couple functions required for yolo. ( #527 )
2023-08-20 17:02:05 +01:00
d2622a8160
Move the VarMap to a separate file ( #525 )
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* Move the var-map struct in a separate file.
* Fix some typos.
2023-08-20 14:25:07 +01:00
42e1cc8062
Add a batch normalization layer ( #508 )
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* Add BatchNormalization.
* More batch-norm.
* Add some validation of the inputs.
* More validation.
2023-08-18 20:05:56 +01:00
c78ce76501
Add a simple Module trait and implement it for the various nn layers ( #500 )
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* Start adding the module trait.
* Use the module trait.
* Implement module for qmatmul.
2023-08-18 09:38:22 +01:00
13401df4d1
Add an abstract type for RmsNorm. ( #499 )
2023-08-18 08:52:14 +01:00
d32e8199cd
Layer norm tweaks ( #482 )
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* Add some options to make layer-norm more configurable.
* Add the rms-norm variant.
* Replace the RmsNorm with the shared bits.
2023-08-17 10:07:13 +01:00
d34039e352
Add a stable diffusion example ( #328 )
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* Start adding a stable-diffusion example.
* Proper computation of the causal mask.
* Add the chunk operation.
* Work in progress: port the attention module.
* Add some dummy modules for conv2d and group-norm, get the attention module to compile.
* Re-enable the 2d convolution.
* Add the embeddings module.
* Add the resnet module.
* Add the unet blocks.
* Add the unet.
* And add the variational auto-encoder.
* Use the pad function from utils.
2023-08-06 17:49:43 +01:00
620f83cf66
Add the candle-datasets crate ( #322 )
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* Move the vision datasets to a separate crate.
* Move the batcher bits.
* Update the readme.
* Move the tiny-stories bits.
---------
Co-authored-by: Jane Doe <jane.doe@example.org >
2023-08-05 08:56:50 +01:00
0902846f25
Add the AdamW optimizer. ( #307 )
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* Add the AdamW optimizer.
* Add some AdamW test validated against PyTorch.
2023-08-02 14:03:49 +01:00
ff876c2103
Llama more training ( #297 )
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* Rework the var-builder to handle initializations.
* Add some helper functions for layer creation.
* Improve the layer initializations.
* Get initialized variables.
* Precompute the rot embeddings when training lamas.
2023-08-01 19:53:41 +01:00
e1e8127f15
Add the batcher. ( #293 )
2023-08-01 09:16:10 +01:00
16c33383eb
Improve the mnist training example. ( #276 )
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* Improve the mnist training example.
* Add some initialization routine that can be used for nn.
* Proper initialization in the mnist example.
2023-07-29 16:28:22 +01:00
1f26042693
Move some shared functions to the nn module. ( #221 )
2023-07-22 13:25:11 +01:00
2a74019ec6
Vision dataset ( #179 )
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* Add some readers for the mnist dataset.
* Import the cifar and mnist dataset.
2023-07-16 23:43:55 +01:00
ded93a1169
Add the SGD optimizer ( #160 )
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* Add the nn::optim and some conversion traits.
* Add the backward_step function for SGD.
* Get the SGD optimizer to work and add a test.
* Make the test slighly simpler.
2023-07-13 19:05:44 +01:00
b31a3bbdcb
Sketch the tensor initialization module. ( #134 )
2023-07-11 07:41:46 +01:00
1aa7fbbc33
Move the var-builder in a central place. ( #130 )
2023-07-10 20:49:50 +01:00
89a5b602a6
Move the conv1d layer to candle_nn. ( #117 )
2023-07-10 11:02:06 +01:00
b06e1a7e54
[nn] Move the Embedding and Activation parts. ( #116 )
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* Share the Embedding and Activation parts.
* Tweak some activations.
2023-07-10 10:24:52 +01:00
9ce0f1c010
Sketch the candle-nn crate. ( #115 )
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* Sketch the candle-nn crate.
* Tweak the cuda dependencies.
* More cuda tweaks.
2023-07-10 08:50:09 +01:00
