91dbf907d3
Add more whisper variants. ( #413 )
2023-08-11 17:33:55 +01:00
906c0f3eb5
Remove the checkpoint conversion script. ( #405 )
...
* Remove the checkpoint conversion script.
* Remove references to the script.
2023-08-11 05:59:48 +01:00
80f0482f26
Fix the stable-diffusion vae. ( #398 )
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* Fix the stable-diffusion vae.
* Fix for saving images.
2023-08-10 18:24:31 +01:00
385f0d261c
Normalize embeddings in the bert example. ( #390 )
2023-08-10 13:05:55 +01:00
c3a0761e62
Add some tracing to the whisper example. ( #375 )
2023-08-09 19:58:36 +01:00
a3b1699409
Embed the mel filters in the whisper binary. ( #373 )
2023-08-09 18:27:26 +01:00
3a62aee91f
Write the generated images using the image crate. ( #363 )
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* Use the image crate to write the generated images.
* Make the dependency optional.
2023-08-09 15:26:44 +01:00
be21d7e75a
Fix the padding used in stable diffusion. ( #362 )
2023-08-09 13:23:59 +01:00
89d3926c9b
Fixes for the stable diffusion example. ( #342 )
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* Fixes for the stable diffusion example.
* Bugfix.
* Another fix.
* Fix for group-norm.
* More fixes to get SD to work.
2023-08-08 14:57:09 +01:00
fc265d9dcf
Some CLIP fixes for stable diffusion. ( #338 )
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* Some CLIP fixes for stable diffusion.
* Add the avg-pool2d operation on cpu.
2023-08-07 18:31:45 +01:00
2345b8ce3f
Skeleton for the avg-pool2d and upsample-nearest2d ops. ( #337 )
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* Skeleton for the avg-pool2d and upsample-nearest2d ops.
* Preliminary conv2d support.
2023-08-07 16:15:38 +01:00
f53a333ea9
Simple pad support. ( #336 )
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* Simple pad support.
* Fix the tensor indexing when padding.
2023-08-07 15:24:56 +01:00
5bb2fce998
Implement group-norm. ( #334 )
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* Implement group-norm.
* Add some testing for group-norm.
2023-08-07 06:53:05 +01:00
141df4ad2b
Main diffusion loop for the SD example. ( #332 )
2023-08-06 21:39:53 +01:00
166bfd5847
Add the recip op + use it in stable-diffusion. ( #331 )
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* Add the recip unary op.
* Fix the cuda kernel.
* Use the recip op in sigmoid.
2023-08-06 21:14:52 +01:00
1c062bf06b
Add the ddim scheduler. ( #330 )
2023-08-06 20:44:00 +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
b278834267
Support the Accelerate BLAS on macOS. ( #325 )
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* Add the accelerate feature.
* Ffi tweaks.
2023-08-05 17:25:24 +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
f7b2a0391d
Transpose the weight matrixes for llama2.c. ( #321 )
2023-08-04 13:32:20 +01:00
df6667ba88
Add some tracing to llama. ( #318 )
2023-08-03 13:52:22 +01:00
a79286885c
Support safetensors weights in llama2.c inference. ( #317 )
2023-08-03 11:10:58 +01:00
4f17290ce0
Use AdamW in the llama2 training. ( #308 )
2023-08-02 14:14:02 +01:00
51e51da896
Rename the candle crate to candle-core ( #301 )
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* Rename to candle-core.
* More candle-core renaming.
2023-08-02 08:20:22 +01:00
4b3bd79fbd
Remove the embedding ops in favor of index-select. ( #299 )
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* Remove the embedding ops in favor of index-select.
* Also remove the cuda kernels.
2023-08-02 05:42:11 +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
a27239f3d9
Add training for the llama2.c example ( #296 )
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* Rework the commands and run inference by default.
* Add the training module and load the training dataset.
* Random dataset iterator.
* Proper valid-loss computation.
* Compute the evaluation loss.
* Add more substance to the training loop.
2023-08-01 17:23:07 +01:00
75e0448114
Move the weight bits in a separate module. ( #295 )
2023-08-01 10:37:06 +01:00
614f911e9e
Add some batcher variants that handle errors. ( #294 )
2023-08-01 09:40:34 +01:00
e1e8127f15
Add the batcher. ( #293 )
2023-08-01 09:16:10 +01:00
fa98ca0c35
Use subcommands in llama2. ( #292 )
2023-08-01 05:57:41 +01:00
1a07ff8d17
Pre-tokenized evaluation mode for llama2.c. ( #291 )
2023-08-01 05:36:25 +01:00
f28558d0b7
Evaluate on the pre-tokenized file. ( #290 )
2023-07-31 21:31:38 +01:00
6b98b66eb3
Remove the end of text tokens. ( #289 )
2023-07-31 20:43:57 +01:00
9ae1f6afee
Add an eval mode to llama2-c ( #288 )
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* Add an eval mode to llama2-c.
* Encode line by line.
* Get the eval to run.
2023-07-31 17:22:14 +01:00
ffeafbfc43
Make the nll op closer to the pytorch version + add a test. ( #286 )
2023-07-31 14:14:01 +01:00
b3ea96b62b
Add a prompt and support more models in llama2-c. ( #285 )
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* Support more models in llama2-c.
* Add a prompt.
2023-07-31 13:09:30 +01:00
94a43faaca
Use the hub models for llama2.c ( #284 )
2023-07-31 12:51:14 +01:00
62a9b03715
Add a flag to set the number of epochs in the mnist training ( #283 )
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* Add a flag to change the number of epochs for the mnist training.
* Increase the learning rate for the MLP.
2023-07-31 10:32:14 +01:00
a8d8f9f206
Load a trained checkpoint in the mnist example. ( #280 )
2023-07-30 17:01:45 +01:00
38ff693af0
Add a flag to save the trained weights. ( #279 )
2023-07-30 15:41:42 +01:00
c950a5c6b1
Cuda support for the mnist training. ( #277 )
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* Cuda support for the mnist training.
* min/max fix + testing.
* Add the argmin/argmax tests.
* More cuda support for argmin/argmax.
* Cuda kernels for argmin and argmax.
2023-07-29 19:48:04 +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
40c80bfbb2
Merge branch 'main' into update_multiprocess
2023-07-29 16:38:35 +02:00
07eb899729
More mnist training. ( #275 )
2023-07-29 13:29:31 +01:00
4bf2ebf836
Use u8 tensors for masks. ( #273 )
2023-07-29 11:32:58 +01:00
97d8712ba5
Remove single function.
2023-07-28 23:31:25 +02:00
97181a77c0
Making multiprocess require flash-attn.
2023-07-28 23:31:24 +02:00
50d8273ae4
Support both llama v1 and llama v2. ( #272 )
2023-07-28 18:40:59 +01:00
7513a5e005
Line-up the llama implementation with the python-transformers one. ( #271 )
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* Line-up the llama implementation with the python-transformers one.
* Also lineup the multiprocess version.
2023-07-28 18:31:28 +01:00
