19042962d5
Whisper fix ( #711 )
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* Remove unnecessary file.
* Whisper fix.
2023-09-01 20:04:07 +01:00
731e3ffb03
Remove unnecessary file. ( #710 )
2023-09-01 19:42:23 +01:00
2fef14cb14
Add a repeat penalty to the llama2.c wasm example. ( #709 )
2023-09-01 19:32:28 +01:00
1e5b2cc1d5
Add some quantized functions to pyo3. ( #708 )
2023-09-01 19:45:36 +02:00
2ed78ab336
Support for quantized tensors in the python api. ( #706 )
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* Add more pyo3 support.
* Add some support for quantized tensors in pyo3.
* Add an arc layer on qmatmul.
* Add the quantized matmul.
* Quantization support.
* More quantization support.
* Test the python quantization.
2023-09-01 15:53:42 +01:00
237323c2bc
Cleanup the pyo3 setup. ( #705 )
2023-09-01 14:26:18 +01:00
af552a5274
Fix the rnn tests for accelerate. ( #704 )
2023-09-01 13:21:38 +01:00
7529531056
Add the optimizer trait. ( #702 )
2023-09-01 12:55:39 +01:00
f2d476ca65
Replace the discord link. ( #701 )
2023-09-01 09:43:55 +01:00
f9f482d4e5
Add some doc to the varbuilder. ( #700 )
2023-09-01 08:28:35 +01:00
9736236175
Allow retrieving and setting prefix of VarBuilder ( #699 )
2023-09-01 08:08:41 +01:00
30a4b593d7
More ops again. ( #697 )
2023-08-31 22:28:48 +01:00
949f1eae6f
Implement a couple more binary ops. ( #693 )
2023-08-31 21:30:15 +01:00
7cef35c84d
Tweak some quantized args ( #692 )
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* Print the args + change the default temp/repeat penalty.
* Minor formatting tweak.
2023-08-31 17:25:21 +01:00
7509c98970
Interactive mode for the quantized model. ( #690 )
2023-08-31 10:52:42 +01:00
94aa234dfd
Add the kv-cache to the whisper wasm version. ( #689 )
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* Add the kv-cache to the whisper wasm version.
* Improve the handling of special tokens.
2023-08-31 09:37:44 +01:00
db59816087
Add a GRU layer. ( #688 )
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* Add a GRU layer.
* Fix the n gate computation.
2023-08-31 08:43:10 +01:00
d210c71d77
Set the learning rate. ( #687 )
2023-08-31 08:03:40 +01:00
8e84d8a59b
Llama2.c wasm module. ( #686 )
2023-08-31 07:44:32 +01:00
9bd486fb96
Add Yolo Pose to JS Example ( #684 )
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* add support for yolo pose models
* fix copy
2023-08-31 06:32:57 +01:00
eaf760a751
Add a python variant for the lstm test. ( #682 )
2023-08-30 22:32:08 +01:00
1d0bb48fae
Improve Whisper WASM UI example ( #669 )
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* wip add module and js worker example
* params
* clean up, send error
* final UI with whisper webworker
* add simple instructions
2023-08-30 20:35:41 +02:00
21e1c73892
Add a LSTM test. ( #681 )
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* Add a LSTM test.
* Clippy.
2023-08-30 20:05:42 +02:00
2047d34b7c
More robust tests (so that they pass on accelerate). ( #679 )
2023-08-30 18:10:10 +01:00
9874d843f1
Fix the accelerate build ( #678 )
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* Cosmetic changes.
* Fix the accelerate build for tanh.
2023-08-30 18:31:14 +02:00
7d753d3acd
Mnist training dropout ( #677 )
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* Use dropout in the mnist training.
* Fix.
2023-08-30 16:41:01 +01:00
3159982a89
Add a Dropout layer ( #676 )
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* Add a dropout layer.
* Add an actual layer.
2023-08-30 16:19:28 +01:00
ad8a62dbf5
Add tanh. ( #675 )
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* Add tanh.
* Use tanh in the lstm block.
* Add a test for tanh forward and backward passes.
2023-08-30 13:54:50 +01:00
f35b9f6baa
Add some recurrent neural networks ( #674 )
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* Add the rnn module.
* More LSTM.
* Implement the RNN forward pass.
* More forward pass for LSTM.
2023-08-30 13:27:09 +01:00
618f4e4c78
Add some documentation. ( #673 )
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* Add some documentation.
* Bump the crate version.
2023-08-30 11:54:00 +01:00
5ac0a98f01
Changelog update. ( #672 )
2023-08-30 09:27:56 +01:00
393690387f
Support dilation in conv-transpose2d. ( #671 )
2023-08-30 09:22:00 +01:00
9b25113393
Small cleanups (avoid some possible mutations) ( #670 )
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* More mut cleanup.
* Factor out some common bits.
2023-08-30 08:54:00 +01:00
a1a5ab8b0a
Neon optimized vecdot ( #666 )
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* Q5k vecdot.
* Add the q3k vecdot.
* Q2k vecdot.
* Move the quantized model to its own file.
2023-08-29 22:28:46 +01:00
59b731de99
Add the powf op. ( #664 )
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* Add the powf op.
* Cuda kernels and backprop.
* Add a test.
2023-08-29 20:48:18 +01:00
2d3fcad267
Simplify usage of the pool functions. ( #662 )
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* Simplify usage of the pool functions.
* Small tweak.
* Attempt at using apply to simplify the convnet definition.
2023-08-29 19:12:16 +01:00
b31d41e26a
Add a convnet training example. ( #661 )
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* Add a convnet example.
* Dataset fix.
* Randomize batches.
2023-08-29 18:23:01 +01:00
71221559d3
Fix the dilated convolutions. ( #659 )
2023-08-29 16:37:42 +01:00
a044907ffc
Dilated convolutions ( #657 )
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* Add the dilation parameter.
* Restore the basic optimizer example.
* Dilation support in cudnn.
* Use the dilation parameter in the cpu backend.
* More dilation support.
* No support for dilation in transposed convolutions.
* Add dilation to a test.
* Remove a print.
* Helper function.
2023-08-29 16:12:11 +01:00
ee8bb1bde1
Add avx implemenetations of q2k, q3k and q5k vec-dot functions ( #654 )
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* `q2k` avx implementation
* `q3k` avx implementation
* `q5k` avx implementation
* `avx` make masks constant
* clippy stuff
2023-08-29 13:35:56 +01:00
3d2d3c7edb
Merge pull request #658 from huggingface/upgrade_hf_hub2
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Upgrading hf-hub (for windows support, removing symlink requirement).
2023-08-29 14:32:15 +02:00
1aca6fa291
Upgrading hf-hub.
2023-08-29 14:18:54 +02:00
4ed202447e
Upgrading hf-hub.
2023-08-29 14:14:26 +02:00
1d6bff53fc
Changelog update. ( #656 )
2023-08-29 12:55:56 +01:00
14b4d456e8
Merge pull request #439 from huggingface/training_hub_dataset
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[Book] Add small error management + start training (with generic dataset inclusion).
2023-08-29 13:10:05 +02:00
2d5b7a735d
Update the book with new layout of datasets.
2023-08-29 12:51:59 +02:00
62ef494dc1
Use multiple transformer layer in the same cross-attn blocks. ( #653 )
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* Use multiple transformer layer in the same cross-attn blocks.
* Make the context contiguous if required.
2023-08-29 11:13:43 +01:00
d0a330448d
Backprop support for pooling ops. ( #652 )
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* Backprop support for pooling ops.
* max-pool gradient.
2023-08-29 10:17:59 +01:00
4b8d57ba15
AVX version of the q4k vecdot. ( #651 )
2023-08-29 09:41:17 +01:00
d5a525f7a7
Fix clippy + save_image.
2023-08-29 10:19:44 +02:00
