Commit Graph

34 Commits

Author SHA1 Message Date
a2e925462c Add the scatter in place ops. (#2923)
* Add the scatter_set op.

* Metal op.

* Cuda version.

* Merge the checks.

* Add the actual ops.
2025-04-26 07:36:49 +02:00
3827685524 Add the scatter op. (#2921)
* Add the scatter op.

* Backprop support.

* Cuda support.
2025-04-25 21:46:58 +02:00
a4c56a958e Add the const-set op. (#2910)
* Add the const-set op.

* Cuda implementation.

* Bugfix.

* Metal cleanup.

* Add the metal kernels.

* Add some testing.

* Finish the metal implementation.

* Bump the version.
2025-04-19 10:07:02 +02:00
9dbaf958dc Add an enum for scalar values. (#2909)
* Add a scalar enum type.

* Add a bit more to the scalar type.

* Small tweak.

* More scalar usage.
2025-04-18 22:13:38 +02:00
ce5f8dd129 Check the bounds in the cuda indexing kernels. (#2908)
* Check the bounds in the cuda indexing kernels.

* Another check.
2025-04-18 20:08:17 +02:00
e4e7b0b2da Use cudarc 0.16. (#2900)
* Use cudarc 0.16.

* Allow for disabling event tracking.

* Tweaks.

* Bump the ug version.

* And bump the candle version too.
2025-04-15 21:40:18 +02:00
f3a73f80d1 Support for cudnn conv1d. (#2888)
* Support for cudnn conv1d.

* More conv1d work.

* Get the conv1d to work with cudnn.

* Cleanup.
2025-04-13 16:47:37 +02:00
d9198deb37 Im2col cuda optimization. (#2885) 2025-04-13 10:07:53 +02:00
34505fdf3a Avoid using batched-matmul in nn::Linear. (#2883)
* Avoid using batched-matmul in nn::Linear.

* Also avoid batched matmul in conv1d.

* Also tweak the conv2d.

* Batched tests.

* Also cover conv2d.
2025-04-12 19:53:58 +02:00
acc5bd335f Cuda cleanup. (#2880)
* Cuda cleanup.

* More fixes.
2025-04-11 21:43:35 +02:00
d9904a3baf Update to cudarc 0.14 (breaking change). (#2858)
* Start updating to cudarc 0.14.

* Adapt a couple more things.

* And a couple more fixes.

* More tweaks.

* And a couple more fixes.

* Bump the major version number.

* Proper module system for the cuda kernels.

* Proper ptx loading.

* Launch the sort kernel.

* Custom op.

* Start using the builder pattern.

* More builder.

* More builder.

* Get candle-core to compile.

* Get the tests to pass.

* Get candle-nn to work too.

* Support for custom cuda functions.

* cudnn fixes.

* Get flash attn to run.

* Switch the crate versions to be alpha.

* Bump the ug dependency.
2025-04-03 09:12:19 +02:00
b4daa03e59 add as_cuda_slice_mut to CudaStorage and CudaDType (#2859) 2025-04-01 19:34:52 +02:00
0af3e428ec fix: place ug dep behind not wasm32 flag (#2760)
* place `ug` behind not wasm32 attr

so that wasm32 can compile

* mv `ug` to conditional target dep

assuming every non-wasm32 user wants this
2025-02-01 23:05:52 +01:00
b52c2c6050 Clippy fixes for the cuda feature. (#2650) 2024-11-29 09:01:34 +01:00
3159f91b90 20241118 docs (#2629)
* module docs

* varbuilder gguf docs

* add a link to gguf files

* small additonal mod doc titles

* safetensor docs

* more core docs

* more module docs in canlde_core

* 2 more link fixes
2024-11-19 04:07:07 +01:00
594d984f9c Support for UG kernels. (#2579)
* Support for UG kernels.

* Add a dedicated test.
2024-10-27 13:37:19 +01:00
6faecaa616 Fix for cudnn bf16 conv2d. (#2535) 2024-10-02 23:18:55 +02:00
7b60bda4ed Add support for cuda streams. (#2532) 2024-10-02 21:30:58 +02:00
aafa24ed93 Update cudarc to 0.12. (#2451)
* Update cudarc to 0.12.

* Some cudnn tweaks.
2024-08-27 10:10:30 +02:00
36cf54525d Fix the fast bf16 gemm cublas kernels. (#2274)
* Use flash-attn in gemma.

* Fix for the fast bf16 cublas gemm.

* Fix some clippy lints.

* Fix another lint.

* Proper clippy fix.
2024-06-18 23:46:58 +02:00
1df2bddccf Add the layernorm specialized op. (#2212)
* Add the layernorm cuda kernels.

* Dedicated layer norm op.

* Add the slower variant.

* Plug the cuda implementation.

* Add the metal variant.

* Add a dedicated test.

* Bugfix.
2024-05-24 15:58:01 +02:00
6f0b807ffd More efficient cuda implementation for ConvTranspose1d. (#2211)
* More efficient cuda implementation for ConvTranspose1d.

* Small tweak.
2024-05-24 11:05:43 +02:00
9cff7bc3f4 Make it possible to use TF32 accumulation in F32 matmuls. (#2178)
* Allow the use of tf32 accumulation in matmul.

* Better timings.

* Dummy versions for use when cuda is not enabled.
2024-05-11 12:28:39 +02:00
89f53b9d7b Bump the version number to 0.5.1. (#2155)
* Bump the version number to 0.5.1.

* Fix clippy lints for 1.78.

* More clippy fixes.
2024-05-03 11:17:05 +02:00
fa06f5f5f9 F16/BF16 bugfix (bis). (#2143)
* F16/BF16 bugfix (bis).

* Another fix.

* Yet another fix.
2024-04-29 14:08:44 +02:00
09d4845aa8 Bugfix the recent f16/bf16 changes. (#2142) 2024-04-29 13:30:11 +02:00
3bbb88fcb4 Fix sigmoid gradient calculation and move sigmoid into a specialized op (#2114)
* add sigmoid op

* small fix

* add as a method on `Tensor`

* implement gradient calculation for sigmoid

* add sigmoid tests

* we should have a specialized op for this

* fix clippy

* fix clippy 2

* Revert all previous commits in favor of a `CustomOp` based solution

* use `CustomOp1` implementation

* fix rustfmt

* experimental add metal impl

* add cuda kernel impl

* fix fmt

* Add a test + reduce some cuda duplication.

---------

Co-authored-by: laurent <laurent.mazare@gmail.com>
2024-04-29 11:04:43 +02:00
ed7b99f525 Add a toggle for F16/BF16 accumulation in gemm. (#2141)
* Add a toggle to control f16/bf16 gemm precision.

* Use the faster variant in the quantized example.

* Bugfix.
2024-04-29 09:21:07 +02:00
8a05743a21 Add StorageRef. (#2113)
* Add the storage-ref bits.

* Add the metal implementation.
2024-04-23 13:23:27 +02:00
53e5380bf6 Add a synchronize method to devices. (#2055)
* Add a synchronize method to devices.

* Metal version.
2024-04-14 16:32:55 +02:00
8967c46563 Split the cuda error file. (#2003) 2024-04-04 08:27:23 +02:00
318d143224 Relax the contiguous check for cuda kernels. (#2000)
* Relax the contiguous check for cuda kernels.

* Ensure contiguity for RNNs.

* Unrelated fix for segment anything.

* Better error message + allow concatenating empty slices.
2024-04-03 09:02:38 +02:00
08c049def3 Improve the handling of matmul with squeezed layouts. (#1998)
* Improve the handling of matmul with squeezed layouts.

* Fix for the cuda backend.

* Revert the temporary fix.
2024-04-02 23:17:05 +02:00
665da30487 Backend refactoring. (#1966)
* Backend refactoring.

* Metal tweaks.

* Move the cudnn module.
2024-03-29 23:02:11 +01:00