8f7973958c
fix: fix index_select cuda kernel for src target dim different than ids dim when selecting dim > 0 ( #1037 )
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* fix: fix index_select cuda kernel for src target dim different than ids dim when selecting dim > 0
* cargo fmt
2023-10-05 18:46:13 +01:00
c18a856e76
Add the rounding operators. ( #1030 )
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* Add the rounding operators.
* Avoid tracking gradients for the rounding operations.
* Add some rounding tests.
2023-10-04 17:58:44 +01:00
11d3687cc6
Simd128 optimized q8k vecdot. ( #1026 )
2023-10-03 15:29:48 +01:00
dac73edb34
AVX optimized q8k vecdot. ( #1024 )
2023-10-03 12:10:58 +01:00
043cc25766
Fix for the index-select cuda setup. ( #1022 )
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* Fix for index-select.
* Better fix + add some testing.
2023-10-03 10:21:46 +01:00
7670fe7d1f
neon optimized q8k multiplication. ( #1021 )
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* neon optimized q8k multiplication.
* Bugfixes.
* simdification.
2023-10-02 23:26:34 +01:00
cddfc3944c
Add the q8k vec-dot multiplication. ( #1019 )
2023-10-02 21:53:34 +01:00
089fc3b584
Improve the quantized whisper setup. ( #1018 )
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* Improve the quantized whisper setup.
* Fix the config file paths.
* Use the standard matmul where possible.
2023-10-02 17:17:46 +01:00
263a172202
Improve the testing of the optimized quantized vec-dot ops ( #1016 )
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* Expose the unopt functions for testing.
* Better testing of the optimized quantized computations.
2023-10-02 09:50:43 +01:00
5130a7da32
Simd128 version of q6k vec-dot. ( #1015 )
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* Add a specific function for the simd128 q6k vec-dot.
* Simdification.
* More simdification.
2023-10-01 19:44:12 +01:00
096dee7073
Bump the version to 0.3.0. ( #1014 )
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* Bump the version to 0.3.0.
* Changelog update.
2023-10-01 13:51:57 +01:00
4e55aaa51f
Simd128 version of the q2k-q8k vecdot product. ( #1011 )
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* Sketch the simd128 version of q2k vecdot.
* Use a single accumulator.
* Simdify the q2k-q8k vecdot product.
* Cosmetic change.
2023-09-30 20:12:41 +01:00
deee7612da
Quantized version of mistral. ( #1009 )
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* Quantized version of mistral.
* Integrate the quantized mistral variant.
* Use the quantized weight files.
* Tweak the quantization command.
* Fix the dtype when computing the rotary embeddings.
* Update the readme with the quantized version.
* Fix the decoding of the remaining tokens.
2023-09-30 18:25:47 +01:00
fc59bc31bf
fix: add missing gpu fill_* ( #996 )
2023-09-29 15:49:30 +01:00
01b92cd959
fixes slice_scatter dim type ( #988 )
2023-09-29 07:54:45 +01:00
25657804ef
Simd128 q2k vecdot ( #982 )
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* Sketch the simd128 version of q2k vecdot.
* Use a single accumulator.
2023-09-28 12:16:35 +01:00
5e1c595e00
Optimize the index-select cuda kernel. ( #976 )
2023-09-28 09:05:29 +01:00
9cb110c44c
Sketch a simd128 optimized q4k vecdot. ( #977 )
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* Sketch a simd128 optimized q4k vecdot.
* Simdify.
* More quantization optimizations.
* Again more simdification.
* Simdify the splitting loop.
2023-09-27 20:19:38 +01:00
667f01c173
Simd128 vec-dot for q4_0. ( #974 )
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* Simd128 vec-dot for q4_0.
* Bugfix.
* Add wasm tests.
* Bugfix for the q40 vecdot.
* More quantization tests.
2023-09-27 14:15:30 +01:00
e59784e353
simd128 optimized q8_0 vecdot ( #972 )
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* wasm/simd128 version of the quantized q8_0 vecdot.
* Add the missing conversion.
2023-09-27 11:03:20 +01:00
ce0a4e3a85
Use the gelu-erf activation. ( #969 )
2023-09-26 22:30:21 +01:00
4abc1ea34d
Avoid some overflows on wasm32. ( #968 )
2023-09-26 11:15:38 +01:00
dc47224ab9
Override the default cudnn heuristics. ( #957 )
2023-09-25 10:31:53 +01:00
e32c89d90c
Add the buffered safetensor wrapper. ( #948 )
2023-09-23 22:57:42 +01:00
890d069092
Self-contained safetensor wrappers ( #946 )
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* Self-contained safetensor wrappers.
* Use the new safetensor container in varbuilders.
2023-09-23 20:39:52 +01:00
ccf352f3d1
Use yoke to provide a self-referential container for mmaped safetenso… ( #939 )
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* Use yoke to provide a self-referential container for mmaped safetensor files.
* Add the new self-owned type for safetensor files without removing the previous version.
* Add routing.
* Add an initializer for the case of multiple files.
2023-09-23 15:43:11 +01:00
912a3d63b0
Use the proper block size for quantizing models. ( #933 )
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* Use the proper block size for quantizing models.
* Use the proper dimension.
2023-09-22 21:36:56 +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
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
7b26e513f1
Add the erf function. ( #917 )
2023-09-21 06:19:10 +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
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
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
635012d770
Do not backprop through argmin/argmax. ( #865 )
2023-09-15 22:15:40 +01:00
2746f2c4be
DiffNeXt/unet ( #859 )
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* DiffNeXt/unet
* Start adding the vae.
* VAE residual block.
* VAE forward pass.
* Add pixel shuffling.
* Actually use pixel shuffling.
2023-09-15 10:14:02 +01:00
130fe5a087
Add the upblocks. ( #853 )
2023-09-14 22:24:56 +01:00
d6447ad635
Tensor based indexing. ( #842 )
2023-09-14 07:47:07 +01:00
9a465e1b26
Add 1d upsampling. ( #839 )
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* Add 1d upsampling.
* Add the interpolate functions.
2023-09-13 16:50:39 +01:00
b11a2a7b9d
Move the constant to avoid some unused warning. ( #837 )
2023-09-13 11:56:53 +01:00
1c09164021
Add CANDLE_NVCC_CCBIN support for candle-kernels, and eliminate warning. ( #836 )
2023-09-13 11:39:22 +01:00
18d3c803a8
Scalar support in minimum/maximum. ( #832 )
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* Scalar support in minimum/maximum.
* Add a clamp method to tensors.
2023-09-13 08:24:58 +01:00
2257f4d475
Bump the crate version + update the changelog. ( #822 )
2023-09-12 06:39:24 +01:00
871efc0307
Bugfix for the conv2d cpu kernel. ( #820 )
2023-09-11 23:11:27 +01:00
c5a058b169
Use the module trait in stable-diffusion. ( #817 )
2023-09-11 20:40:07 +01:00
dbd4561416
im2col version of the conv1d kernel. ( #815 )
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* im2col version of the cuda conv1d kernel.
* im2col version of the conv1d cpu kernel.
2023-09-11 14:40:09 +01:00
70f38c2069
Proper error on unsupported dtypes when using gemm. ( #813 )
2023-09-11 12:10:51 +01:00
df712ecf64
Handle the case where the kernel is not contiguous in the cuda backend. ( #809 )
2023-09-11 09:48:31 +01:00
6fb665004c
Enable im2col on the cpu side. ( #805 )
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* Enable im2col on the cpu side.
* Hook im2col on the cpu backend.
* Use the kernel offset.
* Avoid an unnecessary copy.
* Handle non-contiguous kernels.
* Add a const to select the conv2d kernel.
2023-09-11 09:28:13 +01:00
1cd74129d4
Add Im2Col support on the gpu side. ( #808 )
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* Add Im2Col support on the gpu side.
* Actually enable.
2023-09-11 08:52:33 +01:00
