Commit Graph

714 Commits

Author SHA1 Message Date
51e51da896 Rename the candle crate to candle-core (#301)
* Rename to candle-core.

* More candle-core renaming.
2023-08-02 08:20:22 +01:00
6e33ff62d6 Update cudarc now that it includes the cublas-f16 and nccl changes. (#300) 2023-08-02 05:54:28 +01:00
4b3bd79fbd Remove the embedding ops in favor of index-select. (#299)
* Remove the embedding ops in favor of index-select.

* Also remove the cuda kernels.
2023-08-02 05:42:11 +01:00
cc76c63202 Use index-select for the embeddings as it supports backprop. (#298) 2023-08-01 20:44:43 +01:00
ff876c2103 Llama more training (#297)
* 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)
* 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
babee9f011 Merge pull request #259 from LaurentMazare/book_2
Book 2 (load/save)
2023-08-01 17:26:57 +02:00
afb5e24a63 Remove map ownership from save. 2023-08-01 17:19:22 +02:00
89d1fd03e5 Adding new surface for savetensors (global load, global save). 2023-08-01 15:00:38 +02:00
310094310b Modifying safetensors export to get simple load and save. 2023-08-01 15:00:38 +02:00
836ba3e090 Merge pull request #258 from LaurentMazare/start_book
Starting the book.
2023-08-01 14:59:34 +02:00
091e781977 Grammarly pass. 2023-08-01 14:26:02 +02:00
5cead227ef Adressed comments. 2023-08-01 14:26:02 +02:00
ebd0315623 Typo. 2023-08-01 14:26:02 +02:00
ad9d8fe400 Complexifying our hello world 2023-08-01 14:26:02 +02:00
5bc5716b85 Revert "Making sure the CI actually works"
This reverts commit 699346b603cec1f279d94e9aa3210c193ba973f8.
2023-08-01 14:26:02 +02:00
ba37de94d4 Making sure the CI actually works 2023-08-01 14:26:02 +02:00
6242a1470e Starting the book. 2023-08-01 14:26:02 +02:00
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)
* Add an eval mode to llama2-c.

* Encode line by line.

* Get the eval to run.
2023-07-31 17:22:14 +01:00
1064b9b031 Add the cross-entropy loss. (#287) 2023-07-31 14:26:36 +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)
* 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)
* 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
67834119fc Fix the flash-attention function names. (#282) 2023-07-31 10:04:39 +01:00
0ace420e66 Flash attention without padding (varlen). (#281)
* Expose the seqlen variable for flash-attn without padding.

* Fix the batched call.

* Adapt for the varlen variant.

* No need to set the batch strides when in varlen mode.

* Add a test (disabled at the moment).

* Get the test to work properly.
2023-07-31 09:45:39 +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
ba2254556c Display the temperature being used for text generation. (#278) 2023-07-30 09:53:05 +01:00
c950a5c6b1 Cuda support for the mnist training. (#277)
* 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)
* 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
bedcef64dc Merge pull request #262 from LaurentMazare/update_multiprocess
Making multiprocess require flash-attn.
2023-07-29 16:40:39 +02:00
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
c0a8ed19eb Support for where-cond on cuda for u8 and u32. (#274) 2023-07-29 11:48:58 +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)
* Line-up the llama implementation with the python-transformers one.

* Also lineup the multiprocess version.
2023-07-28 18:31:28 +01:00
cb8dd5cd53 Back to using the main branch now that the PR has been merged. (#270) 2023-07-28 16:22:44 +01:00
a0e47aba98 Fix the revision used in starcoder to use the safetensors PR. (#269) 2023-07-28 14:02:31 +01:00
fb84ead8f7 Add the starcoder example to the readme. (#268)
* Add the starcoder example to the readme.

* Tweak.
2023-07-28 13:26:23 +01:00