Commit Graph

503 Commits

Author SHA1 Message Date
df6814f34e Refactor to simplify our lives for settings the params in the encoder. 2023-11-20 14:12:57 +01:00
39406a6721 Adding the actual backend 2023-11-20 14:12:56 +01:00
976ad9f9c2 Remove tracing. 2023-11-20 14:12:29 +01:00
a4c4a56429 Metal part 1 - Scaffolding for metal. 2023-11-20 14:12:05 +01:00
c6763e3b41 Add a simple implementation of cumsum. (#1334)
* Add a simple implementation of cumsum.

* Add another test.
2023-11-15 21:11:15 +00:00
347e31c9ff Add the tril/triu/eye ops. (#1333)
* Add tril/triu/eye.

* Revert the metal crate tweak.
2023-11-15 20:34:37 +00:00
a209ce8ceb Update for 0.3.1. (#1324) 2023-11-11 18:48:52 +00:00
9e666d4229 Add the var method. (#1315)
* Add the var method.

* Add a test.
2023-11-10 22:47:57 +01:00
26c4e5bf1d Metal part 1 - Scaffolding for metal. (#1308)
* Metal part 1 - Scaffolding for metal.

* Remove tracing.
2023-11-10 08:35:48 +01:00
18d30005c5 Add support to UL2 model family (#1300)
* Add support to UL2 model family

* Update docs with UL2

* Create ActivationWithOptionalGating to avoid polluting activations

* Also refactor quantized t5

* Remove useless conversion

* Revert Activation::NewGelu name change

* Remove useless return

* Apply rustfmt and clippy recommendations

* Reuse t5::ActivationWithOptionalGating in quantized version

* (cosmetic change) use a match rather than ifs + avoid early returns.

---------

Co-authored-by: Laurent <laurent.mazare@gmail.com>
2023-11-09 18:55:09 +01:00
a773a4b22b [ONNX] Support a couple more ops. (#1284)
* Support the shape op in ONNX.

* Share the axis normalization bits.

* Add some limited support for gather.

* Unsqueeze.

* Comparison with broadcasting.

* Add Not + handle i32.
2023-11-06 22:44:58 +01:00
60fdab4e17 Detach all grads during backprop. (#1243)
* Detach all grads during backprop.

* Add an environment variable to select the backprop behavior.

* Update the comment.
2023-11-05 14:07:41 +01:00
7051fb8098 feat: add backprop for elu (#1269)
* feat: add backprop for elu

* Cosmetic tweaks.

---------

Co-authored-by: Laurent <laurent.mazare@gmail.com>
2023-11-04 21:26:41 +01:00
6fa3151820 Allow using gguf-v3 files. (#1262) 2023-11-03 23:07:53 +01:00
3173b1ce3b feat: impl backprop for erf and gelu-erf (#1258)
* impl backprop for erf anf gelu-erf

* feat: unary tests added for erf and gelu-erf

* fix: (clippy) remove immediately dereferenced ref

* fix: improve comments with pytorch code snippet

* fix: adjust comment typo in backprop impl
2023-11-03 21:32:30 +01:00
1cfc5d6d0c Backprop support for conv1d (cpu only for now). (#1255) 2023-11-03 14:23:53 +01:00
b07b2350b6 Test for the transposed conv1d. (#1254) 2023-11-03 13:10:28 +01:00
be4555c5a5 Add the conv-transpose1d op. (#1251)
* Skeleton structure for conv-transpose1d.

* CPU implementation for conv-transpose1d.
2023-11-03 09:44:46 +01:00
fbd69f952c Lazy detach. (#1242) 2023-11-02 07:33:48 +00:00
36fb84f038 Add a hack for generating random uniform/normal for f16/bf16. (#1228) 2023-10-31 20:27:59 +00:00
c05c0a8213 PyO3: Add equal and __richcmp__ to candle.Tensor (#1099)
* add `equal` to tensor

* add `__richcmp__` support  for tensors and scalars

* typo

* more typos

* Add `abs` + `candle.testing`

* remove duplicated `broadcast_shape_binary_op`

* `candle.i16` => `candle.i64`

* `tensor.nelements` -> `tensor.nelement`

* Cleanup `abs`
2023-10-30 15:17:28 +00:00
5fc66bd4ba Support negative steps in arange. (#1218) 2023-10-30 07:40:54 +00:00
154c674a79 Add i64-abs. (#1216) 2023-10-29 15:28:53 +00:00
7bbde55c61 Marian MT model (#1210)
* Skeleton files for the marian MT model.

* Marian initialization.

* Implement the attention forward method.

* Forward pass for the encoder side.

* Expose the encoder and decoder.

* Start plugging the decoder.

* Forward pass for the decoder layer.

* Set up the marian example.

* Add some missing backtraces.

* Bugfix.
2023-10-29 15:12:22 +00:00
46d6566c99 Fix the conv2d gradient computation. (#1214) 2023-10-29 09:50:04 +00:00
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
ef33df7ae2 No need for the even constraint on vecdot-q40-q80. (#1202) 2023-10-28 07:23:59 +01:00
e2826e70b3 Add a quantized variant of llama2.c (#1197)
* Add a quantized variant of llama2.c

* Clippy fixes.
2023-10-27 15:34:06 +01:00
9b1158b315 Add some missing backtraces. (#1193) 2023-10-27 06:09:11 +01:00
c698e17619 Enable the test for meshgrid + fix the implementation. (#1175) 2023-10-25 13:47:54 +01:00
e4c9adfdbe Implemented meshgrid (#1174)
* Implemented meshgrid

* Resolved feedback from LaurentMazare

* Rustfmt

* Updated docstring

* Removed outdated error mode from docstring
2023-10-25 12:49:11 +01:00
45dbe541bc fix ucopy for f64 tensors (#1170) 2023-10-24 17:06:03 +01:00
807e3f9f52 derivative for GELU (#1160)
* derivative for GELU

* add tests
2023-10-23 20:23:45 +01:00
8a82d623e5 Handle LongStorage in pytorch checkpoints. (#1152) 2023-10-22 18:34:36 +01:00
62fc965617 Expose the track-op method. (#1148) 2023-10-22 06:57:03 +01:00
e8f760ee44 Add get_on_dim. (#1142) 2023-10-21 15:01:38 +01:00
87eb1658e1 Add pad_with_same. (#1127)
* More model cloning.

* More cloning on quantized models.

* Add pad-with-same.

* Add some tests.
2023-10-18 23:13:37 +01:00
662c186fd5 Better error message when overflowing in narrow. (#1119) 2023-10-18 08:40:14 +01:00
6c588c4792 Refactor the pth tensor exctraction. (#1109) 2023-10-16 18:16:34 +01:00
0106b0b04c Read all the tensors in a PyTorch pth file. (#1106) 2023-10-16 13:50:07 +01:00
b73c35cc57 Improve the reshape error messages. (#1096)
* Improve the reshape error messages.

* Add the verbose-prompt flag to the phi example.
2023-10-15 10:43:10 +01:00
8f310cc666 Avoid trying to backprop through non-differentiable layers. (#1094) 2023-10-14 22:03:41 +01:00
9309cfc47d Create a new curand instead of reseeding. (#1089) 2023-10-14 10:03:59 +01:00
7473c4ceca Fix the npy read function and add some testing. (#1080) 2023-10-12 15:25:05 +02:00
37dbbff261 Use full tensors for zeros and ones (#1071)
* Only optimize float tensors.

* Use full tensors for zeros and ones.
2023-10-11 08:16:04 +01:00
9fea56d28e Only optimize float tensors. (#1069) 2023-10-10 09:05:41 +01:00
b34d7f0248 Remove some unusued bits. (#1067) 2023-10-09 19:49:57 +01:00
9abeddd750 Make the cuda rng seedable. (#1056) 2023-10-08 09:32:36 +01:00
aa53368aeb Better control on the optional dequantization in QMatMul (#1049)
* Cosmetic change to the quantized whisper model.

* Fix the dequantization.

* Add the dequantize all variable.
2023-10-07 10:16:18 +01:00
7f7d95e2c3 Add the round-to function. (#1039) 2023-10-05 20:28:09 +01:00