03be33eea4
Relax the requirements on CustomOp. ( #486 )
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* Relax the requirements on CustomOp.
* Simplify the custom-ops when no backward is required.
2023-08-17 11:12:05 +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
d99cac3ec3
Move the avx specific bits to a separate file. ( #481 )
2023-08-17 09:01:06 +01:00
f708efb19c
Add some accelerate details on the readme. ( #480 )
2023-08-17 08:26:02 +01:00
306c8eee7a
AVX version of the vecdot for q4_0. ( #474 )
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* AVX version of the vecdot for q4_0.
* Tweak the avx bits.
* Add a qmatmul benchmark.
* Fix the quantized test.
2023-08-17 07:03:32 +01:00
098909de40
Add vecdot for q6k-q8k. ( #476 )
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* Add vecdot for q6k-q8k.
* Add some testing for q8k.
* Use QMatMul for the output layer.
2023-08-16 20:59:40 +01:00
3bedba1fce
Use a zipped iterator. ( #475 )
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* Use a zipped iterator.
* Add to/from float for q8k.
2023-08-16 20:15:11 +01:00
c5f45887dc
Add some tracing to the quantized example. ( #473 )
2023-08-16 18:49:08 +01:00
fa4590d7fd
Merge pull request #469 from huggingface/fix_llama_v1
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Fixing llamav1
2023-08-16 17:47:40 +02:00
2e206e269d
Add the model argument. ( #471 )
2023-08-16 16:41:06 +01:00
575e88a999
Add a quantized test that use negative values. ( #470 )
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* Add a quantized test that use negative values.
* Add a default tokenizer.
2023-08-16 16:32:58 +01:00
a9101700b6
Add a kv-cache to the quantized llama example. ( #466 )
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* Add a kv-cache to the quantized llama example.
* Also print the prompt.
* Bugfix in q6k dequantizing.
* Another bugfix.
2023-08-16 14:28:42 +01:00
102fa4c2e3
Fixing llamav1
2023-08-16 14:53:29 +02:00
3071134788
Get the ggml based llama to generate some text. ( #464 )
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* Add more stats to the ggml example.
* Build a quantized model from the file content.
* Move the tensor retrieval in the main crate.
* Start adding the forward pass.
* Add more to the forward pass of the quantized llama.
* Apply the attention layers.
* Add the sampling loop.
* Get the sampling loop to work.
* Minor tweak.
* Add a quantize/dequantize test.
* Bugfix.
* Add a comment + swap the order.
* Bugfixes.
2023-08-16 12:41:07 +01:00
fec87e86f5
Merge pull request #465 from huggingface/llama_hub_config
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Using the real config from the hub when available.
2023-08-16 13:28:59 +02:00
33c882ea74
Clippy.
2023-08-16 10:41:00 +02:00
76804730c6
Using the real config from the hub when available.
2023-08-16 10:36:01 +02:00
965597a873
Add a test for qmatmul. ( #459 )
2023-08-16 06:36:27 +01:00
ca449f9ee1
Add quantized tensors. ( #458 )
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* Add quantized tensors.
* Implement the debug trait for QTensor.
* Add the QMatMul custom op.
2023-08-15 22:45:53 +01:00
b8263aa15c
Quantized support for f16 and f32 ( #457 )
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* Add f32 as a quantized type.
* Add f16 as a quantized type too.
2023-08-15 21:09:37 +01:00
e68b2accb4
Split out the quantized file. ( #456 )
2023-08-15 20:26:27 +01:00
08effe3762
More quantization support ( #455 )
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* Properly initialize wdata.
* Simplify the matmul bits.
* Add from_float for q4_0.
* Fix a couple bugs.
* Get the test to work.
* Get clippy to be happy.
2023-08-15 18:58:04 +01:00
8ad4a21ffc
Add a basic optimizer example. ( #454 )
2023-08-15 17:19:18 +01:00
5e49922be2
Basic quantization support ( #453 )
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* Add a vecdot trait.
* Start implementing mul_mat.
* Add to the mul mat implementation.
* Add q8_0 quantization.
* Implement the GgmlType trait for all types.
* Add the missing block.
* Add a TODO.
2023-08-15 15:53:19 +01:00
ebcfd96d94
add c++17 flags ( #452 )
2023-08-15 15:29:34 +01:00
5b1690fffa
Tweak the llama example. ( #450 )
2023-08-15 12:18:20 +01:00
3cc87058b7
Support local weights & dynamic outputs ( #447 )
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* Support local weights & dynamic outputs
* Revise as suggested
* Cargo code format
2023-08-15 11:51:57 +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
495e0b7580
Simd support ( #448 )
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* Import the simd intrinsics in candle-core.
* simd version of reduce-sum.
* Bugfix.
* Fix some clippy lints.
2023-08-15 09:50:38 +01:00
90374097dc
Cudnn support ( #445 )
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* Add a cudnn feature to be used for conv2d.
* Allocate the proper workspace.
* Only create a single cudnn handle per cuda device.
* Proper cudnn usage.
* Bugfix.
2023-08-14 21:30:41 +01:00
c84883ecf2
Add a cuda kernel for upsampling. ( #441 )
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* Add a cuda kernel for upsampling.
* Update for the latest tokenizers version.
2023-08-14 13:12:17 +01:00
a094dc503d
Add a cuda kernel for avg-pool2d. ( #440 )
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* Add a cuda kernel for avg-pool2d.
* Avoid running out of bounds.
* Finish wiring the avg pool kernel + add some testing.
* Support for max-pool + testing.
2023-08-14 12:32:05 +01:00
34f4b3187e
Add a naive conv2d cuda kernel. ( #438 )
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* Add a naive conv2d cuda kernel.
* Proper conv2d support on the rust side.
* Conv1d testing on gpu.
* Also use the test on gpus.
* Fix the clean-ptx target.
2023-08-14 10:34:42 +01:00
eab54e4490
Fix the tests for mkl. ( #437 )
2023-08-14 08:09:27 +01:00
9e7e6e0288
Add dequantization for ggmls q4_0, q4_1, q5_0, q5_1 and q8_0 ( #407 )
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* Added dequantization for `q4_0`, `q4_1`, `q5_0`, `q5_1` and `q8_0`
* expose `tensor_from_ggml` for external usage
* bugfixes & example
2023-08-13 23:22:57 +01:00
8bd2b22b33
Optimize the logit computations in the whisper example. ( #434 )
2023-08-13 22:00:13 +01:00
d379a76a9e
Add a softmax bench. ( #433 )
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* Add a softmax bench.
* Add the vectorized sum reduce.
2023-08-13 20:09:18 +01:00
9af438ac1b
Track the conv2d operations in stable-diffusion. ( #431 )
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* Track the conv2d operations in stable-diffusion.
* Add more tracing to stable-diffusion.
* Also trace the resnet bits.
* Trace the attention blocks.
* Also trace the attention inner part.
* Small tweak.
2023-08-13 15:58:26 +01:00
b1ff78f762
Allow using accelerate with stable-diffusion. ( #430 )
2023-08-13 14:14:20 +01:00
5a63b51f14
Add a matmul benchmark. ( #429 )
2023-08-13 13:41:03 +01:00
6d694554b8
Support longer sequences in language detection. ( #428 )
2023-08-13 13:16:15 +01:00
9aca398a4f
More accelerate optimizations ( #427 )
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* Add more tracing to the whisper example.
* Support accelerate in more examples.
* Use accelerate for pointwise functions.
* Use accelerate for binary operations too.
* Bugfix for binary operation: use the rhs before the lhs.
2023-08-13 12:53:34 +01:00
60cd1551ca
Add a KV cache to whisper. ( #426 )
2023-08-12 21:17:08 +01:00
a0908d212c
Add a -language argument. ( #425 )
2023-08-12 17:08:40 +01:00
972078e1ae
Update the readme with the discord server and common errors. ( #423 )
2023-08-12 16:45:58 +01:00
16b89f5b83
fix: can directly save the loaded weights ( #421 )
2023-08-12 16:33:29 +01:00
0741ebbd51
More multilingual support for whisper. ( #419 )
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* More multilingual support for whisper.
* Use the language token appropriately.
2023-08-12 15:32:52 +01:00
0c3f109faa
Basic multilingual support for whisper ( #417 )
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* Multi-lingual support for whisper.
* Avoid hardcoding the token names.
* More multi-lingual support.
* Remove the todo.
2023-08-12 11:23:04 +01:00
2ba6b2826f
Fix the readme instructions for stable-diffusion. ( #415 )
2023-08-11 18:59:04 +01:00
1d0157bbc4
Stable diffusion: retrieve the model files from the HF hub. ( #414 )
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* Retrieve the model files from the HF hub in the stable diffusion example.
* Add to the readme.
2023-08-11 18:57:06 +01:00
