a3f97c143d
Bump the crate version + update CHANGELOG. ( #628 )
2023-08-27 18:17:11 +01:00
4c338b0cd9
VarBuilder cleanup ( #627 )
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* VarBuilder cleanup.
* Implement the basic varbuilders.
* Add the sharded code.
* Proper support for tensor sharding.
2023-08-27 18:03:26 +01:00
5320aa6b7d
Move the test-utils bits to a shared place. ( #619 )
2023-08-27 09:42:22 +01:00
431051cc32
Add Efficientnet ( #572 )
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* EfficientNet.
* Complete the efficientnet implementation.
* Improve group handling.
* Get the efficientnet to work.
2023-08-23 18:02:58 +01:00
aba1e90797
Add some group parameter to convolutions. ( #566 )
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* Add some group parameter to convolutions.
* Avoid some unnecessary groups checks.
* Move the tensor convolution bits.
* Properh handling of groups.
* Bump the crate version.
* And add a changelog.
2023-08-23 12:58:55 +01:00
11c7e7bd67
Some fixes for yolo-v3. ( #529 )
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* Some fixes for yolo-v3.
* Use the running stats for inference in the batch-norm layer.
* Get some proper predictions for yolo.
* Avoid the quadratic insertion.
2023-08-20 23:19:15 +01:00
a1812f934f
Add a yolo-v3 example. ( #528 )
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* Add a couple functions required for yolo.
* Add the yolo-v3 example.
* Add minimum and maximum.
* Use the newly introduced maximum.
* Cuda support for min/max + add some testing.
* Allow for more tests to work with accelerate.
* Fix a typo.
2023-08-20 18:19:37 +01:00
e3d2786ffb
Add a couple functions required for yolo. ( #527 )
2023-08-20 17:02:05 +01:00
d2622a8160
Move the VarMap to a separate file ( #525 )
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* Move the var-map struct in a separate file.
* Fix some typos.
2023-08-20 14:25:07 +01:00
a8f61e66cc
Bump the crates version to 0.1.2. ( #522 )
2023-08-20 08:07:07 +01:00
42e1cc8062
Add a batch normalization layer ( #508 )
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* Add BatchNormalization.
* More batch-norm.
* Add some validation of the inputs.
* More validation.
2023-08-18 20:05:56 +01:00
c78ce76501
Add a simple Module trait and implement it for the various nn layers ( #500 )
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* Start adding the module trait.
* Use the module trait.
* Implement module for qmatmul.
2023-08-18 09:38:22 +01:00
13401df4d1
Add an abstract type for RmsNorm. ( #499 )
2023-08-18 08:52:14 +01:00
d32e8199cd
Layer norm tweaks ( #482 )
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* Add some options to make layer-norm more configurable.
* Add the rms-norm variant.
* Replace the RmsNorm with the shared bits.
2023-08-17 10:07:13 +01:00
8ad4a21ffc
Add a basic optimizer example. ( #454 )
2023-08-15 17:19:18 +01:00
531f23b4d0
Rename vec-dot to vec-ops. ( #449 )
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* Rename vec-dot to vec-ops.
* Also bump the crate version.
* Add a currently empty readme.
2023-08-15 10:48:57 +01:00
eab54e4490
Fix the tests for mkl. ( #437 )
2023-08-14 08:09:27 +01:00
55e428c8ae
Expose the varmap inner data. ( #411 )
2023-08-11 16:58:56 +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
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
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
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
0902846f25
Add the AdamW optimizer. ( #307 )
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* Add the AdamW optimizer.
* Add some AdamW test validated against PyTorch.
2023-08-02 14:03:49 +01:00
4fe8a02f88
Update the repo location. ( #305 )
2023-08-02 11:12:18 +01:00
03a421f714
Add some missing readme files. ( #304 )
2023-08-02 10:57:12 +01:00
d38943aadc
Add version numbers for all the candle crates ( #303 )
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* Switch to candle-gemm for the time being.
* Add the missing versions.
2023-08-02 10:52:13 +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
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 )
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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
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
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
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
07eb899729
More mnist training. ( #275 )
2023-07-29 13:29:31 +01:00
3eb2bc6d07
Softmax numerical stability. ( #267 )
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* Softmax numerical stability.
* Fix the flash-attn test.
2023-07-28 13:13:01 +01:00
8435a99edd
Added comment about offsets.
2023-07-27 20:11:57 +02:00
952eca6b54
Fixing slice errors + comments.
2023-07-27 16:59:32 +02:00
7c7e6ba201
Removing inner dependency on safetensors.
2023-07-27 09:58:47 +02:00
1735e4831e
TP sharding v2
2023-07-27 09:58:14 +02:00
1f26042693
Move some shared functions to the nn module. ( #221 )
2023-07-22 13:25:11 +01:00
43c7223292
Rename the .r functions to .dims so as to be a bit more explicit. ( #220 )
2023-07-22 10:39:27 +01:00
dfd624dbd3
[Proposal] Remove SafeTensor wrapper (allows finer control for users).
2023-07-19 16:25:44 +02:00
2a74019ec6
Vision dataset ( #179 )
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* Add some readers for the mnist dataset.
* Import the cifar and mnist dataset.
2023-07-16 23:43:55 +01:00
104f89df31
Centralize the dependency versions and inherit them. ( #177 )
2023-07-16 07:47:17 +01:00
4ed56d7861
Removing cuda default.
...
Seems very important for a lot of exploring users usually on laptop
without GPUs.
Adding more README instructions in a follow up.
2023-07-14 16:52:15 +02:00
d88b6cdca9
Add backtrace information to errors where relevant. ( #166 )
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* Add backtrace information to errors where relevant.
* More backtrace information.
* Add to the FAQ.
2023-07-14 09:31:25 +01:00
a2f72edc0d
Simplify the parameters used by sum and sum_keepdim. ( #165 )
2023-07-14 08:22:08 +01:00
