871efc0307
Bugfix for the conv2d cpu kernel. ( #820 )
2023-09-11 23:11:27 +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
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
a4f40f3dc8
Use rayon directly rather than constraining the number of threads. ( #749 )
2023-09-05 20:26:15 +01:00
cda45a7443
Let outside CustomOp2 implementations use binary_map/binary_map_vec ( #741 )
2023-09-05 09:27:32 +01:00
84d003ff53
Handle arbitrary shapes in Tensor::new. ( #718 )
2023-09-02 19:59:21 +01:00
393690387f
Support dilation in conv-transpose2d. ( #671 )
2023-08-30 09:22:00 +01:00
59b731de99
Add the powf op. ( #664 )
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* Add the powf op.
* Cuda kernels and backprop.
* Add a test.
2023-08-29 20:48:18 +01:00
71221559d3
Fix the dilated convolutions. ( #659 )
2023-08-29 16:37:42 +01:00
a044907ffc
Dilated convolutions ( #657 )
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* Add the dilation parameter.
* Restore the basic optimizer example.
* Dilation support in cudnn.
* Use the dilation parameter in the cpu backend.
* More dilation support.
* No support for dilation in transposed convolutions.
* Add dilation to a test.
* Remove a print.
* Helper function.
2023-08-29 16:12:11 +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
d8ba0452dc
Fail on bf16. ( #594 )
2023-08-25 06:10:38 +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
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
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
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
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
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
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
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
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
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
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
4b3bd79fbd
Remove the embedding ops in favor of index-select. ( #299 )
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* Remove the embedding ops in favor of index-select.
* Also remove the cuda kernels.
2023-08-02 05:42:11 +01:00
c950a5c6b1
Cuda support for the mnist training. ( #277 )
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* Cuda support for the mnist training.
* min/max fix + testing.
* Add the argmin/argmax tests.
* More cuda support for argmin/argmax.
* Cuda kernels for argmin and argmax.
2023-07-29 19:48:04 +01:00
3eb2bc6d07
Softmax numerical stability. ( #267 )
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* Softmax numerical stability.
* Fix the flash-attn test.
2023-07-28 13:13:01 +01:00
3e89df938c
Starcoder fix ( #264 )
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* Bugfix for starcoder.
* Get some proper code generation.
* Slightly simpler softmax.
2023-07-28 11:17:49 +01:00
6475bfadfe
Simplify Tensor::randn. ( #255 )
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* Simplify Tensor::randn.
* Also switch Tensor::rand to use a generic dtype.
* Support sampling for f16.
* Cleanup.
2023-07-27 07:40:36 +01:00
18cc73954a
Add some testing for index-add ( #237 )
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* Add some testing for index-add.
* Fix the cpu implementation for index-add.
2023-07-25 08:38:33 +01:00
23827c49cd
Cleanup some todos. ( #226 )
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* Cleanup some todos.
* Fix more todo.
* Optimize for the contiguous case.
* Add the IntDType trait.
* Handle the intdtype trait for more ops.
* Remove a todo.
* Remove a todo.
2023-07-23 16:00:00 +01:00
