46eb225ba5
Add some missing entries to the changelog. ( #606 )
2023-08-25 18:01:38 +01:00
aa67e5107d
Merge pull request #600 from huggingface/codellama_gpu_support
...
Adding support for codellama in examples.
2023-08-25 18:25:26 +02:00
c105550405
s/panic/bail/
2023-08-25 18:05:07 +02:00
ca6c050b04
Cleanup the pose reporting code. ( #605 )
2023-08-25 16:49:21 +01:00
9c8d6dbc2a
Neon intrinsics for the q8_0 vecdot. ( #604 )
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* Neon intrinsics for the q8_0 vecdot.
* Get the tests to run with accelerate (with some numerical error failures).
2023-08-25 14:42:18 +01:00
0afbc435df
Add some configurable legend for yolo detection. ( #603 )
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* Add some configurable legend for yolo detection.
* Clippyness.
2023-08-25 13:50:31 +01:00
97909e5068
Move the yolo model bits in a separate file. ( #602 )
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* Move the yolo model bits in a separate file.
* Improve the drawing.
* Bugfix.
2023-08-25 12:47:55 +01:00
8bc5fffa45
More support for pose estimation in yolo-v8. ( #599 )
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* More support for pose estimation in yolo-v8.
* Support both object detection and pose-estimation in the yolo-v8 example.
2023-08-25 11:21:11 +01:00
4826a4212e
Adding support for codellama in examples.
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Codellama requires bf16 for now (error to convert from bf16 to f16).
Multiprocess demo not functional for it because flash-attn only supports
f16 for now.
2023-08-25 09:56:11 +00:00
afc10a3232
AVX version for the q8-0 multiplications. ( #598 )
2023-08-25 10:14:49 +01:00
d728e646c2
Use resolver 2 explicitely. ( #597 )
2023-08-25 09:35:40 +01:00
c093b03d51
Generic implementation of vecdot for q80. ( #596 )
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* Generic implementation of vecdot for q80.
* Add support for code-llama 7b.
* Support more code-llama.
2023-08-25 09:04:05 +01:00
d8ba0452dc
Fail on bf16. ( #594 )
2023-08-25 06:10:38 +01:00
189442a0fa
Add the pose estimation head for yolo. ( #589 )
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* Add the pose estimation head for yolo.
* Properly handle the added position dimensions.
* Integrate the pose estimation head in the forward pass.
* Renaming.
* Fix for pose estimation.
2023-08-24 22:12:34 +01:00
2cde0cb74b
More pickle support. ( #588 )
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* More pickle support.
* Be more verbose.
2023-08-24 18:45:10 +01:00
e21c686cdc
Fixes for clippy 1.72. ( #587 )
2023-08-24 17:46:17 +01:00
c265ac50fa
Add a function to write gguf files. ( #585 )
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* Add a function to write gguf files.
* More GGUF file writing.
* Write the tensor data in GGUF files.
2023-08-24 17:03:06 +01:00
a87c6f7652
Merge pull request #561 from patrickvonplaten/add_installation
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Improve installation section and "get started"
2023-08-24 16:25:52 +02:00
afd965f77c
More non square testing ( #582 )
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* Add more non square testing.
* More testing.
2023-08-24 13:01:04 +01:00
d2f42ab086
Referenze implementations of q2k and q3k vec-dot functions ( #580 )
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* add `q2k` vec-dot
* `q3k` vec-dot + quantization bugfix
2023-08-24 12:35:54 +01:00
ca318a6ec7
Add to the cuda example a reproduction of the issue. ( #579 )
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* Add to the cuda example a reproduction of the issue.
* Tweak.
* Add a test using non-square matrixes.
* Fix the conv2d kernel.
* Display the error.
* And tweak the comment.
2023-08-24 12:07:31 +01:00
dd64465899
Add a test for conv2d with padding + bugfix the random number generation on cuda. ( #578 )
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* Add a test for conv2d with padding.
* Cosmetic changes.
* Bugfix the rand function on the cuda backend.
2023-08-24 10:16:37 +01:00
79916c2edb
Use the hub weights for efficientnet. ( #573 )
2023-08-23 18:20:21 +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
eedd85ffa7
Move the imagenet specific bits to a separate file. ( #571 )
2023-08-23 16:42:09 +01:00
7478dda255
Cosmetic tweaks. ( #570 )
2023-08-23 15:45:40 +01:00
329f661d9b
Trace softmax ( #568 )
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* Trace the softmax op.
* Inline the sum.
* Add min/max vec operations.
2023-08-23 15:25:50 +01:00
075b505480
Mirror GGML's unit tests ( #569 )
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* Add ggml unit tests
* simplify random matmul test for other test cases
2023-08-23 15:25:17 +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
1f58bdbb1d
Apply suggestions from code review
2023-08-23 13:33:45 +02:00
c98d3cfd8b
Update candle-book/src/guide/installation.md
2023-08-23 13:31:54 +02:00
c5e43ad0ab
Apply suggestions from code review
2023-08-23 13:27:29 +02:00
2c280007e8
Apply suggestions from code review
2023-08-23 13:26:21 +02:00
4ee1cf038a
Get the rms epsilon from GGUF. ( #565 )
2023-08-23 11:40:20 +01:00
0f4ff8a739
Fix the quantized example. ( #564 )
2023-08-23 11:09:55 +01:00
89a00b56cc
add chat models in quantized example ( #551 )
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* add chat models in quantized example
* cargo fmt
2023-08-23 11:05:33 +01:00
9a5c7db91a
Add support for i64 ( #563 )
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* Add the i64 dtype.
* Adapt the cuda kernels.
2023-08-23 10:42:19 +01:00
649202024c
fix code snippets
2023-08-23 09:05:07 +00:00
283f6c048d
fix code snippets
2023-08-23 09:04:36 +00:00
c8211fc474
fix code snippets
2023-08-23 09:04:08 +00:00
7732bf6238
correct
2023-08-23 08:54:48 +00:00
7c0ca80d3a
move installation to book
2023-08-23 08:52:53 +00:00
b558d08b85
improve
2023-08-23 08:42:47 +00:00
34cb9f924f
improve
2023-08-23 08:40:23 +00:00
d4968295a0
improve
2023-08-23 08:37:08 +00:00
65e146c72d
Add installation section
2023-08-23 08:32:59 +00:00
3743bed2d7
Fix the ? operator cannot be applied to type Device of example ( #560 )
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According to the API:
```rust
inp = inp.to_device(&Device::Cuda(0)?)?;
```
cannot work as `Cuda(...)` expects a type `Device` not an integer.
I'd recommend to instead use `new_cuda(...)`
2023-08-23 09:29:50 +01:00
508d34daf2
GGUF support in the quantized model. ( #559 )
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* GGUF support in the quantized model.
* Get the GGUF support to work on llama.
2023-08-23 09:20:57 +01:00
0764741cc4
Handle GGUF files in tensor-tools. ( #558 )
2023-08-23 06:32:07 +01:00
6a30ecefad
Preliminary GGUF support. ( #557 )
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* Preliminary GGUF support.
* Tensor reading.
2023-08-23 00:14:10 +01:00
