4b8d57ba15
AVX version of the q4k vecdot. ( #651 )
2023-08-29 09:41:17 +01:00
fd3131a4ce
Fix the debug implementation. ( #648 )
2023-08-28 22:51:39 +01:00
037b41c9dc
Cuda conv transpose ( #645 )
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* Cuda kernel for conv-transpose.
* Fix the cuda kernel.
* Fix the tests.
2023-08-28 20:58:49 +01:00
72fae3140c
Optimize the conv2d transpose cpu kernel. ( #644 )
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* Optimize the conv2d transpose cpu kernel.
* Use multiple cores.
2023-08-28 20:06:31 +01:00
ca26198b95
Fix the cpu kernel for conv-transpose. ( #643 )
2023-08-28 16:45:12 +01:00
b292047882
Backprop for conv2d. ( #638 )
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* Start adding backprop for conv2d.
* Backprop for conv2d.
* Bugfix + start adding a conv2d test.
* Conv2d backprop testing.
* More conv fixes.
2023-08-28 16:08:55 +01:00
3cca89cc70
Add conv-transpose. ( #635 )
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* Add conv-transpose.
* Return zeros for now.
* Naive CPU implementation.
* Add a conv-transpose test + fix the cpu implementation.
* Add a second test.
2023-08-28 10:10:12 +01:00
1da71a5da1
Neon optimized version of the q4k vecdot product. ( #632 )
2023-08-27 21:30:47 +01:00
a3f97c143d
Bump the crate version + update CHANGELOG. ( #628 )
2023-08-27 18:17:11 +01:00
be471d50ab
Llama quantization. ( #625 )
2023-08-27 14:08:15 +01:00
7151f2cf63
Add the quantize command. ( #624 )
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* Add the quantize command.
* Bugfix for writing gguf files.
* And add a comment.
2023-08-27 11:35:19 +01:00
5320aa6b7d
Move the test-utils bits to a shared place. ( #619 )
2023-08-27 09:42:22 +01:00
a8b39dd7b7
Fix for q5_1 quantization. ( #617 )
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* Fix for q5_1 quantization.
* Fix some typos.
2023-08-27 08:31:18 +01:00
fa0d75b18d
Quantization tests + fix some issues. ( #616 )
2023-08-27 08:17:38 +01:00
28658054ff
More missing quantized bits. ( #615 )
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* Q4_1 support.
* Add Q5_1 quantization.
* Tweak.
2023-08-27 07:52:26 +01:00
ab36a7f3e3
Fix for when f16c is not available. ( #614 )
2023-08-27 07:19:52 +01:00
f704e39761
Missing quants ops ( #611 )
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* Another transmute tweak.
* Changelog tweak.
* Add some missing quantized ops.
2023-08-26 20:09:04 +01:00
fdf15f0e05
Another transmute tweak. ( #610 )
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* Another transmute tweak.
* Changelog tweak.
2023-08-26 13:00:24 +01:00
06b37ea7ad
Avoid using tmp values. ( #609 )
2023-08-26 12:28:28 +01:00
c72eb3d75b
Add reference implementation for q4k and q5k ( #586 )
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* add `q2k` vec-dot
* `q3k` vec-dot + quantization bugfix
* `q4k` vec-dot
* `q5k` vec-dot
* Validate against GGML unit test results.
* Remove some more `transmutes`
2023-08-26 12:07:54 +01:00
71518caeee
Align tensor device print more with PyTorch ( #590 )
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* Improve tensor print
* Use CudaDevice only if enabled with cuda feature
* run rust fmt
* up
* improve
* rustfmt
2023-08-26 11:20:22 +01:00
6559eae72c
Avoid some transmutes. ( #607 )
2023-08-25 18:21:37 +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
afc10a3232
AVX version for the q8-0 multiplications. ( #598 )
2023-08-25 10:14:49 +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
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
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
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
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
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
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
07067b01dc
Avoid some mutable variables (take 2). ( #554 )
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* Avoid some mutable variables (take 2).
* Fix.
2023-08-22 18:51:20 +01:00
ec665acad7
Revert "Avoid some mut in quantized functions. ( #550 )" ( #552 )
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This reverts commit cf27b9b636
2023-08-22 15:57:46 +01:00
cf27b9b636
Avoid some mut in quantized functions. ( #550 )
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* Avoid a couple more 'let mut'.
* Tweaks.
2023-08-22 15:44:26 +01:00
352383cbc3
Add quantization support for q2k, q3k, q4k and q5k ( #524 )
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* first q2 implementation
* First Q4K and Q5K implementations
* fix `q2k` and `q5k`
* Some first cleanups
* run `clippy` on tests
* finally implement `q3k`
* deactivate `q3k` test on macos
* also disable the test on linux
* Fix floating bits in `q3k` dequantization
* Refactoring pass + reorder quants in file
* `fmt`
* Re-add `src` asserts and redefine `dst`
2023-08-22 15:04:55 +01:00
d70cffdab6
Fix the minimum/maximum gradient computations. ( #534 )
2023-08-21 08:28:41 +01:00
8c232d706b
Small tweaks to the pickle handling to be able to use libtorch files. ( #530 )
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* Small tweaks to the pickle handling to be able to use libtorch files.
* Move the pytorch specific bits in a different function.
2023-08-20 23:25:34 +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
