Commit Graph

722 Commits

Author SHA1 Message Date
6e938cfe9d Adding cheatsheet + expand on other ML frameworks. 2023-07-12 18:35:34 +02:00
8aab787384 Test the index op + bugfix. (#148) 2023-07-12 15:42:36 +01:00
ba35d895e7 Sketch the candle-transformers crate. (#147)
* Sketch the candle-transformers crate.

* Format the empty files.
2023-07-12 13:49:31 +01:00
eae646d322 Use arange in the examples. (#146) 2023-07-12 12:12:34 +01:00
20599172ac Add from_iter and arange, use it in the doctests. (#145) 2023-07-12 12:03:01 +01:00
b3b39cca92 Llama batch (#144)
* Add a batch dimension to llama.

* Bugfixes.
2023-07-12 11:38:19 +01:00
bcf96e3cf3 Implement the backend trait for the cpu backend. (#143) 2023-07-12 09:54:33 +01:00
a76ec797da Cleanup the main crate error and add a couple dedicated ones (#142)
* Cosmetic cleanups to the error enum.

* More error cleanup.

* Proper error handling rather than panicing.

* Add some conv1d dedicated error.
2023-07-12 09:17:08 +01:00
fa760759e5 Allow for lazy loading of npz files, use it in llama to reduce memory usage in the cpu version. (#141) 2023-07-11 20:22:34 +01:00
37cad85869 Resurrect the llama npy support. (#140) 2023-07-11 19:32:10 +01:00
760f1d7055 Refactor the llama example to make it more in sync with the other ones. (#139)
* Refactor the llama example to make it more in sync with the other ones.

* Make clippy happy.

* Properly load the safetensor weights.

* Get llama back to a working state for the safetensors case.
2023-07-11 17:20:55 +01:00
64264d97c1 Modular backends (#138)
* Add some trait to formalize backends.

* Use the generic backend trait.
2023-07-11 11:17:02 +01:00
674eb35e10 Remove some dead-code pragmas. (#137) 2023-07-11 09:33:59 +01:00
ae79c00e48 Allow for uniform initialization in a single step. (#136) 2023-07-11 08:52:29 +01:00
b31a3bbdcb Sketch the tensor initialization module. (#134) 2023-07-11 07:41:46 +01:00
0e9d3afd77 Simplify the var-builder layer setup. (#133) 2023-07-10 23:22:58 +01:00
6fc1ab4f0d MusicGen var-store path cleanup. (#132) 2023-07-10 23:13:11 +01:00
b46c28a2ac VarBuilder path creation (#131)
* Use a struct for the safetensor+routing.

* Group the path and the var-builder together.

* Fix for the empty path case.
2023-07-10 22:37:34 +01:00
1aa7fbbc33 Move the var-builder in a central place. (#130) 2023-07-10 20:49:50 +01:00
2be09dbb1d Macroify the repeating bits. (#129) 2023-07-10 19:44:06 +01:00
23849cb6e6 Merge pull request #124 from LaurentMazare/new_doc
Squeeze/unsqueeze/reshape
2023-07-10 20:43:23 +02:00
fba07d6b6b Merge pull request #127 from LaurentMazare/tensor_indexing
`i(..)` indexing sugar (partial).
2023-07-10 19:56:34 +02:00
1ad235953b Clippy ? 2023-07-10 19:34:38 +02:00
c9d354f5ae Update candle-core/src/tensor.rs 2023-07-10 19:29:22 +02:00
f29b77ec19 Random initializers. (#128)
* Random initialization.

* CPU rng generation.
2023-07-10 18:26:21 +01:00
5ea747c047 Update candle-core/src/indexer.rs 2023-07-10 19:02:35 +02:00
ef0375d8bc i(..) indexing sugar (partial).
- Only range, and select (no tensor_select)
- No negative indexing
2023-07-10 17:34:04 +02:00
e2807c78a4 Enable the doctests to run with mkl (though they are broken for now). (#126) 2023-07-10 16:27:46 +01:00
548b1df7ea Remove the dependency to blas and use mkl directly. (#125) 2023-07-10 15:52:03 +01:00
e01d099b71 Squeeze/unsqueeze/reshape 2023-07-10 16:40:25 +02:00
221b1aff65 Support dgemm in mkl matmul. (#122) 2023-07-10 15:02:37 +01:00
71cd3745a9 Add some layer-norm tests. (#121) 2023-07-10 14:43:04 +01:00
dc58259679 Merge pull request #120 from LaurentMazare/some_doc_plus_fix_stack
Adding some doc + Extended `stack` to work with extra final dimensions.
2023-07-10 15:21:24 +02:00
9a667155fd Removed commented deny 2023-07-10 15:18:23 +02:00
2c8fbe8155 oops. 2023-07-10 15:13:52 +02:00
49f4a77ffd Put them back. 2023-07-10 15:11:48 +02:00
38ac50eeda Adding some doc + Extended stack to work with extra final dimensions. 2023-07-10 14:51:10 +02:00
204618b7d3 Merge pull request #118 from LaurentMazare/readme_update
Expanding a bit the README
2023-07-10 13:12:23 +02:00
868743b8b9 Expanding a bit the README 2023-07-10 12:51:37 +02:00
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)
* Share the Embedding and Activation parts.

* Tweak some activations.
2023-07-10 10:24:52 +01:00
9ce0f1c010 Sketch the candle-nn crate. (#115)
* Sketch the candle-nn crate.

* Tweak the cuda dependencies.

* More cuda tweaks.
2023-07-10 08:50:09 +01:00
bc3be6f9b0 Add the elu cuda kernel. (#114) 2023-07-10 07:57:01 +01:00
270997a055 Add the elu op. (#113) 2023-07-09 21:56:31 +01:00
ea5dfa69bc Sketching the musicgen model. (#66)
* Skeleton files for musicgen.

* Add a musicgen model module.

* Sketch the model loading.

* Start adding the forward pass.

* More forward pass.

* Positional embeddings.

* Forward for the decoder layers.

* Add an empty function.

* Fix the musicgen weight names.

* More musicgen modeling.

* Add the T5 loading bits.

* Add the encodec config.

* Add the encodec module hierarchy.

* More Encodec modeling.

* Encodec modeling.

* Encodec modeling.

* Add more to the encodec modeling.

* Load the weights.

* Populate the resnet blocks.

* Also load the conv transpose weights.

* Split musicgen in multiple files.
2023-07-09 19:53:35 +01:00
c187f347bf Make it easier to use whisper samples from the repo. (#112)
* Make it easier to use samples from the repo.

* Use f32 for accumulation in the f16/bf16 kernels.
2023-07-08 18:48:27 +01:00
eb64ad0d4d Cuda kernel for the conv1d op (#111)
* Boilerplate code for conv1d.

* Boilerplate code for conv1d.

* More boilerplate for conv1d.

* Conv1d work.

* Get the conv1d cuda kernel to work.

* Conv1d support when no batch dim.
2023-07-08 18:13:25 +01:00
5c3864f9f7 Add more sum tests. (#110)
* Add some tests for the sum.

* More sum testing.
2023-07-08 13:15:36 +01:00
e676f85f00 Sketch a fast cuda kernel for reduce-sum. (#109)
* Sketch a fast cuda kernel for reduce-sum.

* Sketch the rust support code for the fast sum kernel.

* More work on the fast kernel.

* Add some testing ground.

* A couple fixes for the fast sum kernel.
2023-07-08 12:43:56 +01:00
33479c5f1b Add some very simple sum benchmark. (#108)
* Add some very simple sum benchmark.

* Rename the file.
2023-07-08 08:39:27 +01:00