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
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
5a63b51f14
Add a matmul benchmark. ( #429 )
2023-08-13 13:41:03 +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
16b89f5b83
fix: can directly save the loaded weights ( #421 )
2023-08-12 16:33:29 +01:00
e12372021b
Expose the tensor write-bytes function. ( #412 )
2023-08-11 17:13:42 +01:00
01ea57da8c
Fix the conv tests. ( #409 )
2023-08-11 14:59:54 +01:00
662db45fc3
Use zero padding in conv1d and conv2d (same as pytorch). ( #408 )
2023-08-11 14:53:05 +01:00
e29c7809ec
Parallelise the CPU kernels for the conv ops. ( #401 )
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* Parallelise the conv2d op.
* Tighter control on threading.
* Also parallelise conv1d.
* Add some safety comment.
2023-08-11 05:51:58 +01:00
a325c1aa50
Upsample test + bugfix. ( #399 )
2023-08-10 21:02:35 +02:00
94eff56aee
Optimize the cpu conv2d kernel ( #396 )
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* Conv2d simd optimization.
* Fix the contiguous copying.
* Small tweak.
2023-08-10 17:40:09 +01:00
ff53f38467
Small example for benchmarking some cpu ops ( #394 )
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* Refactor the benchmark example.
* Rename the example.
* Add some comments.
2023-08-10 17:00:17 +01:00
c8039579a5
Conv1d optimize ( #392 )
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* Reorder the conv1d loops in the cpu backend.
* Optimize the 1d convolution.
* Conv1D optimize.
* Fix some clippy lints.
2023-08-10 15:23:52 +01:00
f3fe730a30
Npy tweaks & error with path ( #384 )
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* Simplify the npy writing.
* Wrap the file path so as to provide better errors.
2023-08-10 06:21:58 +01:00
c7f92f985e
Further randn tweaks: use the appropriate rng rather than the f64 one, some cleanup. ( #383 )
2023-08-10 05:48:19 +01:00
3bbc08a8df
Fix randn cpu ( #382 )
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* Change distributions
Standard generates in [0, 1), Normal is correct.
* Add test
Not sure if this is the best place to put the test
* Remove unnecessary use
2023-08-10 05:33:44 +01:00
25ec2d9f6b
fix: remove incorrect unwrap ( #379 )
2023-08-09 21:45:24 +01:00
fcfdcbd337
Add a conv1d benchmark based on the whisper sizes. ( #377 )
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* Add a conv1d benchmark based on the whisper sizes.
* Enforce the batch-dim in conv1d.
2023-08-09 20:27:03 +01:00
a5c5a893aa
add max_pool2d ( #371 )
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Co-authored-by: 赵理山 <ls@zhaolishandeMacBook-Air.local >
2023-08-09 18:05:26 +01:00
1892bd139c
Extract the strides in the conv ops. ( #370 )
2023-08-09 17:57:05 +01:00
cd225bd3b1
More testing for avg-pool2d. ( #366 )
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* More testing for avg-pool2d.
* Another fix.
* Add a max-pool test with non-divisible kernel sizes.
2023-08-09 16:12:23 +01:00
dece0b8a76
Merge pull request #263 from huggingface/book_3
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Book 3 (advanced loading + hub)
2023-08-09 16:50:11 +02:00
b80348d22f
Bugfix for avg-pool + add some test. ( #365 )
2023-08-09 15:44:16 +01:00
dbc6f281c9
Conv1d test with padding. ( #356 )
2023-08-09 05:45:38 +01:00
cf965ecaa8
Simplify the conv1d and conv2d code. ( #352 )
2023-08-08 22:10:59 +01:00
b9864e1357
Fix size-in-bytes for u8. ( #351 )
2023-08-08 21:15:18 +01:00
608b2358c6
Add some conv1d test + bugfix using padding. ( #349 )
2023-08-08 20:50:20 +01:00
1e6dbeac01
Add some conv2d tests. ( #347 )
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* Add some conv2d tests.
* Add a simpler conv2d test.
* More conv2d testing + bugfix.
* Add a todo.
2023-08-08 19:02:42 +01:00
13ce68ff9b
Bugfix for conv2d. ( #343 )
2023-08-08 15:20:00 +01:00
ab35684326
Naive implementation for conv2d. ( #341 )
2023-08-08 06:34:36 +01:00
b5bb5e056d
Add more conv2d support. ( #340 )
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* Add more conv2d support.
* Conv2d cpu work.
* Conv2d output shape.
2023-08-08 06:04:32 +01:00
d0d7010682
CPU implementation for upsample-nearest2d. ( #339 )
2023-08-07 20:07:10 +01:00
fc265d9dcf
Some CLIP fixes for stable diffusion. ( #338 )
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* Some CLIP fixes for stable diffusion.
* Add the avg-pool2d operation on cpu.
2023-08-07 18:31:45 +01:00
2345b8ce3f
Skeleton for the avg-pool2d and upsample-nearest2d ops. ( #337 )
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* Skeleton for the avg-pool2d and upsample-nearest2d ops.
* Preliminary conv2d support.
2023-08-07 16:15:38 +01:00
f53a333ea9
Simple pad support. ( #336 )
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* Simple pad support.
* Fix the tensor indexing when padding.
2023-08-07 15:24:56 +01:00
2c9f605976
Add rand-like/randn-like. ( #333 )
2023-08-06 21:51:08 +01:00
166bfd5847
Add the recip op + use it in stable-diffusion. ( #331 )
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* Add the recip unary op.
* Fix the cuda kernel.
* Use the recip op in sigmoid.
2023-08-06 21:14:52 +01:00
d34039e352
Add a stable diffusion example ( #328 )
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* Start adding a stable-diffusion example.
* Proper computation of the causal mask.
* Add the chunk operation.
* Work in progress: port the attention module.
* Add some dummy modules for conv2d and group-norm, get the attention module to compile.
* Re-enable the 2d convolution.
* Add the embeddings module.
* Add the resnet module.
* Add the unet blocks.
* Add the unet.
* And add the variational auto-encoder.
* Use the pad function from utils.
2023-08-06 17:49:43 +01:00
b278834267
Support the Accelerate BLAS on macOS. ( #325 )
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* Add the accelerate feature.
* Ffi tweaks.
2023-08-05 17:25:24 +01:00
f7b2a0391d
Transpose the weight matrixes for llama2.c. ( #321 )
2023-08-04 13:32:20 +01:00
8b6f5be1cc
Support q5k quantized data. ( #320 )
2023-08-04 09:51:30 +01:00
74845a4dcd
Use the assert! function as it turns out to be const. ( #316 )
2023-08-03 10:03:43 +01:00
aa76b783eb
Q6K dequantization. ( #315 )
2023-08-03 09:31:20 +01:00
25564357f7
Support some ggml quantized types ( #314 )
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* Add the quantized types for GGML loading.
* Support quantization for Q2K.
* More quantization support.
* Fix some clippy lints.
2023-08-03 09:16:26 +01:00
634700d84a
Use some consts for ggml values. ( #312 )
2023-08-02 22:03:05 +01:00
e635f18eda
Initial support for reading ggml files. ( #311 )
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* Start adding support for reading ggml files.
* Compute the proper tensor size.
* Print the read tensors.
* Fix file reading.
2023-08-02 21:59:02 +01:00
a44471a305
Adding more details on how to load things.
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- Loading with memmap
- Loading a sharded tensor
- Moved some snippets to `candle-examples/src/lib.rs` This is because
managing book specific dependencies is a pain https://github.com/rust-lang/mdBook/issues/706
- This causes a non aligned inclusion https://github.com/rust-lang/mdBook/pull/1856 which we have
to ignore fmt to remove.
mdbook might need some more love :)
2023-08-02 18:40:24 +02:00
0902846f25
Add the AdamW optimizer. ( #307 )
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* Add the AdamW optimizer.
* Add some AdamW test validated against PyTorch.
2023-08-02 14:03:49 +01:00
4fe8a02f88
Update the repo location. ( #305 )
2023-08-02 11:12:18 +01:00
