19e52e5007
T5 Wasm ( #918 )
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* init t5 wasm model
* split workers for each model
* clean up
* add some ui
* readme
* index
* typo
* remove cache param, clear_kv_cache
* add max_length as param
* add model tasks option to ui
* add method to load quantized gguf from buffer
* Add quantized wasm module
* add quantized models to UI, dynamic import wasms
* link to quantized
* fix copy
* fix ModelEncoder
* fix README.md
2023-09-22 15:31:10 +01:00
8601537e31
Add slice-scatter. ( #927 )
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* Add slice-scatter.
* Add the op.
* Make transpose be a no-op when the dimensions are identical.
* Add the backprop.
* And add some gradient test.
2023-09-22 12:18:16 +01:00
a96878f235
cuda cast i64 ( #925 )
2023-09-21 19:52:39 +01:00
aa8ec06fd2
Add the t5-xxl version. ( #924 )
2023-09-21 14:48:13 +01:00
b43ca493f6
Add more quantized flan t5 variants ( #923 )
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* Add the quantized flan-t5-large variant.
* Add more sizes.
2023-09-21 13:23:30 +01:00
3b557765e8
T5 quantized example ( #922 )
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* Load gguf files for the quantized t5.
* Add the quantized t5 example.
* Allow for loading local files.
* Add some support for quantizing safetensor files.
* Transpose before quantizing.
* Quantized t5.
* Retrieve the weights from the hub.
2023-09-21 12:33:15 +01:00
2619c4307f
Add a quantized version of the t5 model. ( #921 )
2023-09-21 11:13:39 +01:00
c89b82b2d4
Add a clear cache function to the t5 model. ( #919 )
2023-09-21 09:01:06 +01:00
7b26e513f1
Add the erf function. ( #917 )
2023-09-21 06:19:10 +01:00
ab1d40ea97
Add more t5 tracing. ( #915 )
2023-09-20 20:20:54 +01:00
3a0d3e05df
Add more t5 tracing. ( #914 )
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* Add more t5 tracing.
* Rever the sm change.
2023-09-20 16:37:51 +01:00
9b24d89d2d
Tracing mode for T5. ( #913 )
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* Tracing mode for T5.
* Tracing for the linear layer.
2023-09-20 15:03:35 +01:00
fb1c2ac535
Add flash-attn support. ( #912 )
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* Add flash-attn support.
* Add the use-flash-attn flag.
* Re-enable flash-attn.
2023-09-20 14:07:55 +01:00
728e167334
Add details on wuerstchen. ( #911 )
2023-09-20 13:09:35 +01:00
7b1ddcff47
Add clone to various nn layers. ( #910 )
2023-09-20 11:33:51 +01:00
f685b2231c
Add some missing biases. ( #908 )
2023-09-20 10:14:51 +01:00
c0b49d5a50
Wuerstchen parameter tweaks. ( #907 )
2023-09-20 09:26:24 +01:00
098dd0d1e9
fix: add missingtop_p in llama_multiprocess ( #905 )
2023-09-20 08:54:56 +01:00
05626ef492
Flan T5: Read lm_head when word embeddings are not tied ( #903 )
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* Read lm_head when word embeddings are not tied
* Fix formatting
* Address comments
2023-09-19 22:36:47 +01:00
67a486d18d
Line-up the wuerstchen model with the python implementation. ( #901 )
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* Line-up the wuerstchen model with the python implementation.
* Missing cos.
* Fix the picture denormalization.
2023-09-19 21:59:44 +01:00
7ad82b87e4
BERT Wasm ( #902 )
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* implement wasm module
* add example to workspace
* add UI explore semantic similiarity
* change status messages
* formatting
* minor changes
2023-09-19 21:31:37 +01:00
8696f64bae
Fix T5 kv cache ( #899 )
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* Fix T5 kv cache
* Add argument for decoder prompt
* Fix range
2023-09-19 20:36:15 +01:00
d7e48234d4
Add an erf based gelu op ( #900 )
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* Erf based gelu.
* Add the erf backed gelu.
* Test the new gelu op (which is not gelu_new).
2023-09-19 19:54:28 +01:00
34f2ecbc3b
Fix the leaky relu. ( #898 )
2023-09-19 18:17:17 +01:00
4f91c8e109
Improve the error message on shape mismatch for cat. ( #897 )
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* Improve the error message on shape mismatch for cat.
* Cosmetic tweak.
2023-09-19 15:09:47 +01:00
06e46d7c3b
Only use classifier free guidance for the prior. ( #896 )
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* Only use classifier free guidance for the prior.
* Add another specific layer-norm structure.
* Tweaks.
* Fix the latent shape.
* Print the prior shape.
* More shape fixes.
* Remove some debugging continue.
2023-09-19 14:13:05 +01:00
9cf26c5cff
Fix typo in error_manage.md ( #888 )
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occured -> occurred
2023-09-19 07:14:15 +01:00
aaa9d4ed6c
W decoding. ( #893 )
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* W decoding.
* Add the diffusion loop.
* Use the appropriate config.
2023-09-19 07:13:44 +01:00
92db8cecd3
Specialized attention module for Wuerstchen. ( #890 )
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* Specialized attention module for Wuerstchen.
* Reshaping ops.
* Attention processor.
* Finish the forward pass.
* Hook the new attention processor.
* Get the prior forward pass to work.
* Make it contiguous.
2023-09-18 21:16:09 +01:00
1542e92629
T5: Add option to override use_cache from config ( #892 )
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* Add option to override use_cache from config
* Disable cache by default and cleanup code
2023-09-18 20:20:21 +01:00
82a98f6da0
Prior denoising. ( #889 )
2023-09-18 16:51:38 +01:00
5082954c52
Fix the W clip embeddings. ( #887 )
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* Fix the W clip embeddings.
* Add the specialized ddpm scheduler.
2023-09-18 14:50:14 +01:00
7dd8e12472
Bump the crate versions to v0.2.3. ( #886 )
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* Bump the crate version.
* Also update the python bindings.
2023-09-18 12:14:03 +01:00
12696b7b2d
Fix typos in SAM WASM example ( #884 )
2023-09-18 09:41:50 +01:00
ef8cd8fea0
Update the candle-gemm version. ( #885 )
2023-09-18 09:36:20 +01:00
03e194123d
Add return types to *.pyi stubs ( #880 )
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* Start generating return types
* Finish tensor type hinting
* Add `save_gguf` to `utils`
* Typehint `quant-llama.py`
2023-09-17 22:11:01 +01:00
c2b866172a
More Wuerstchen fixes. ( #882 )
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* More Weurstchen fixes.
* More shape fixes.
* Add more of the prior specific bits.
* Broadcast add.
* Fix the clip config.
* Add some masking options to the clip model.
2023-09-17 22:08:11 +01:00
06cc329e71
Remove the parameters for the Wuerstchen layer-norm. ( #879 )
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* Remove the parameters for the Wuerstchen layer-norm.
* Fixes.
* More fixes (including conv-transpose2d.
* More fixes.
* Again more fixes.
2023-09-17 15:59:27 +01:00
5f83c13f17
Add the DDPM scheduler. ( #877 )
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* Add the DDPM scheduler.
* Minor tweaks.
2023-09-17 15:03:01 +01:00
db3e9dae04
Wuerstchen main ( #876 )
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* Wuerstchen main.
* More of the wuerstchen cli example.
* Paella creation.
* Build the prior model.
* Fix the weight file names.
2023-09-17 12:46:38 +01:00
7f65af1f0d
Avoid re-encoding the input in the T5 example. ( #875 )
2023-09-17 10:25:54 +01:00
eeb54716dd
Tweaks for the T5 example. ( #874 )
2023-09-17 10:05:15 +01:00
1a276b5da7
Add a KV cache to T5. ( #873 )
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* Add a KV cache to T5.
* Suggest using release mode.
* Use the kv cache in decoding.
* Add a comment.
2023-09-17 08:00:45 +01:00
8658df3485
Generate *.pyi stubs for PyO3 wrapper ( #870 )
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* Begin to generate typehints.
* generate correct stubs
* Correctly include stubs
* Add comments and typhints to static functions
* ensure candle-pyo3 directory
* Make `llama.rope.freq_base` optional
* `fmt`
2023-09-16 17:23:38 +01:00
7cafca835a
readme tweaks. ( #867 )
2023-09-16 07:22:24 +01:00
04ca2b9ebd
Update README + SAM ( #866 )
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* use serde-wasm-bindgen, faster serialization
* update readme with demos
2023-09-16 07:34:13 +02:00
635012d770
Do not backprop through argmin/argmax. ( #865 )
2023-09-15 22:15:40 +01:00
3e49f8fce5
Implement T5 decoding ( #864 )
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* Load t5 decoder
* Run enc, dec, and lm head, but no cross attn
* Cross-attention over key_value_states
* New arg for decoder input ids
* Add mask, don't forward position biases through decoder
* Update t5 examples
* Clippy + rustfmt
2023-09-15 22:05:12 +02:00
c2007ac88f
W fixes. ( #862 )
2023-09-15 15:11:11 +01:00
30be5b6660
Replication pad ( #861 )
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* Add the embed mapper convolutions.
* Add the replication pad layer.
* Use the replication-pad op.
* Tweak a todo.
2023-09-15 14:06:21 +01:00
