dce05da535
fix thrust-transform-reduce error ( #5078 )
2023-11-21 15:09:35 +08:00
e5ce4c8ea6
[npu] add npu support for gemini and zero ( #5067 )
...
* [npu] setup device utils (#5047 )
* [npu] add npu device support
* [npu] support low level zero
* [test] update npu zero plugin test
* [hotfix] fix import
* [test] recover tests
* [npu] gemini support npu (#5052 )
* [npu] refactor device utils
* [gemini] support npu
* [example] llama2+gemini support npu
* [kernel] add arm cpu adam kernel (#5065 )
* [kernel] add arm cpu adam
* [optim] update adam optimizer
* [kernel] arm cpu adam remove bf16 support
2023-11-20 16:12:41 +08:00
4f68b3f10c
[kernel] support pure fp16 for cpu adam and update gemini optim tests ( #4921 )
...
* [kernel] support pure fp16 for cpu adam (#4896 )
* [kernel] fix cpu adam kernel for pure fp16 and update tests (#4919 )
* [kernel] fix cpu adam
* [test] update gemini optim test
2023-10-16 21:56:53 +08:00
611a5a80ca
[inference] Add smmoothquant for llama ( #4904 )
...
* [inference] add int8 rotary embedding kernel for smoothquant (#4843 )
* [inference] add smoothquant llama attention (#4850 )
* add smoothquant llama attention
* remove uselss code
* remove useless code
* fix import error
* rename file name
* [inference] add silu linear fusion for smoothquant llama mlp (#4853 )
* add silu linear
* update skip condition
* catch smoothquant cuda lib exception
* prcocess exception for tests
* [inference] add llama mlp for smoothquant (#4854 )
* add llama mlp for smoothquant
* fix down out scale
* remove duplicate lines
* add llama mlp check
* delete useless code
* [inference] add smoothquant llama (#4861 )
* add smoothquant llama
* fix attention accuracy
* fix accuracy
* add kv cache and save pretrained
* refactor example
* delete smooth
* refactor code
* [inference] add smooth function and delete useless code for smoothquant (#4895 )
* add smooth function and delete useless code
* update datasets
* remove duplicate import
* delete useless file
* refactor codes (#4902 )
* rafactor code
* add license
* add torch-int and smoothquant license
2023-10-16 11:28:44 +08:00
cd6a962e66
[NFC] polish code style ( #4799 )
2023-10-07 13:36:52 +08:00
eef96e0877
polish code for gptq ( #4793 )
2023-10-07 13:36:52 +08:00
946ab56c48
[feature] add gptq for inference ( #4754 )
...
* [gptq] add gptq kernel (#4416 )
* add gptq
* refactor code
* fix tests
* replace auto-gptq
* rname inferance/quant
* refactor test
* add auto-gptq as an option
* reset requirements
* change assert and check auto-gptq
* add import warnings
* change test flash attn version
* remove example
* change requirements of flash_attn
* modify tests
* [skip ci] change requirements-test
* [gptq] faster gptq cuda kernel (#4494 )
* [skip ci] add cuda kernels
* add license
* [skip ci] fix max_input_len
* format files & change test size
* [skip ci]
* [gptq] add gptq tensor parallel (#4538 )
* add gptq tensor parallel
* add gptq tp
* delete print
* add test gptq check
* add test auto gptq check
* [gptq] combine gptq and kv cache manager (#4706 )
* combine gptq and kv cache manager
* add init bits
* delete useless code
* add model path
* delete usless print and update test
* delete usless import
* move option gptq to shard config
* change replace linear to shardformer
* update bloom policy
* delete useless code
* fix import bug and delete uselss code
* change colossalai/gptq to colossalai/quant/gptq
* update import linear for tests
* delete useless code and mv gptq_kernel to kernel directory
* fix triton kernel
* add triton import
2023-09-22 11:02:50 +08:00
079bf3cb26
[misc] update pre-commit and run all files ( #4752 )
...
* [misc] update pre-commit
* [misc] run pre-commit
* [misc] remove useless configuration files
* [misc] ignore cuda for clang-format
2023-09-19 14:20:26 +08:00
0b00def881
[example] add llama2 example ( #4527 )
...
* [example] transfer llama-1 example
* [example] fit llama-2
* [example] refactor scripts folder
* [example] fit new gemini plugin
* [cli] fix multinode runner
* [example] fit gemini optim checkpoint
* [example] refactor scripts
* [example] update requirements
* [example] update requirements
* [example] rename llama to llama2
* [example] update readme and pretrain script
* [example] refactor scripts
2023-08-28 17:59:11 +08:00
7a3dfd0c64
[shardformer] update shardformer to use flash attention 2 ( #4392 )
...
* cherry-pick flash attention 2
cherry-pick flash attention 2
* [shardformer] update shardformer to use flash attention 2
[shardformer] update shardformer to use flash attention 2, fix
[shardformer] update shardformer to use flash attention 2, fix
[shardformer] update shardformer to use flash attention 2, fix
2023-08-15 23:25:14 +08:00
38b792aab2
[coloattention] fix import error ( #4380 )
...
fixed an import error
2023-08-04 16:28:41 +08:00
25c57b9fb4
[fix] coloattention support flash attention 2 ( #4347 )
...
Improved ColoAttention interface to support flash attention 2. Solved #4322
2023-08-04 13:46:22 +08:00
ae02d4e4f7
[bf16] add bf16 support ( #3882 )
...
* [bf16] add bf16 support for fused adam (#3844 )
* [bf16] fused adam kernel support bf16
* [test] update fused adam kernel test
* [test] update fused adam test
* [bf16] cpu adam and hybrid adam optimizers support bf16 (#3860 )
* [bf16] implement mixed precision mixin and add bf16 support for low level zero (#3869 )
* [bf16] add mixed precision mixin
* [bf16] low level zero optim support bf16
* [text] update low level zero test
* [text] fix low level zero grad acc test
* [bf16] add bf16 support for gemini (#3872 )
* [bf16] gemini support bf16
* [test] update gemini bf16 test
* [doc] update gemini docstring
* [bf16] add bf16 support for plugins (#3877 )
* [bf16] add bf16 support for legacy zero (#3879 )
* [zero] init context support bf16
* [zero] legacy zero support bf16
* [test] add zero bf16 test
* [doc] add bf16 related docstring for legacy zero
2023-06-05 15:58:31 +08:00
70c8cdecf4
[nfc] fix typo colossalai/cli fx kernel ( #3847 )
...
* fix typo colossalai/autochunk auto_parallel amp
* fix typo colossalai/auto_parallel nn utils etc.
* fix typo colossalai/auto_parallel autochunk fx/passes etc.
* fix typo docs/
* change placememt_policy to placement_policy in docs/ and examples/
* fix typo colossalai/ applications/
* fix typo colossalai/cli fx kernel
2023-06-02 15:02:45 +08:00
b9a8dff7e5
[doc] Fix typo under colossalai and doc( #3618 )
...
* Fixed several spelling errors under colossalai
* Fix the spelling error in colossalai and docs directory
* Cautious Changed the spelling error under the example folder
* Update runtime_preparation_pass.py
revert autograft to autograd
* Update search_chunk.py
utile to until
* Update check_installation.py
change misteach to mismatch in line 91
* Update 1D_tensor_parallel.md
revert to perceptron
* Update 2D_tensor_parallel.md
revert to perceptron in line 73
* Update 2p5D_tensor_parallel.md
revert to perceptron in line 71
* Update 3D_tensor_parallel.md
revert to perceptron in line 80
* Update README.md
revert to resnet in line 42
* Update reorder_graph.py
revert to indice in line 7
* Update p2p.py
revert to megatron in line 94
* Update initialize.py
revert to torchrun in line 198
* Update routers.py
change to detailed in line 63
* Update routers.py
change to detailed in line 146
* Update README.md
revert random number in line 402
2023-04-26 11:38:43 +08:00
7bc0afc901
updated flash attention usage
2023-03-20 17:57:04 +08:00
95a36eae63
[kernel] added kernel loader to softmax autograd function ( #3093 )
...
* [kernel] added kernel loader to softmax autograd function
* [release] v0.2.6
2023-03-10 14:27:09 +08:00
823f3b9cf4
[doc] add deepspeed citation and copyright ( #2996 )
...
* [doc] add deepspeed citation and copyright
* [doc] add deepspeed citation and copyright
* [doc] add deepspeed citation and copyright
2023-03-04 20:08:11 +08:00
090f14fd6b
[misc] add reference ( #2930 )
...
* [misc] add reference
* [misc] add license
2023-02-28 18:07:24 +08:00
918bc94b6b
[triton] added copyright information for flash attention ( #2835 )
...
* [triton] added copyright information for flash attention
* polish code
2023-02-21 11:25:57 +08:00
dd14783f75
[kernel] fixed repeated loading of kernels ( #2549 )
...
* [kernel] fixed repeated loading of kernels
* polish code
* polish code
2023-02-03 09:47:13 +08:00
8b7495dd54
[example] integrate seq-parallel tutorial with CI ( #2463 )
2023-01-13 14:40:05 +08:00
69d9180c4b
[hotfix] issue #2388
2023-01-07 18:23:02 +08:00
40d376c566
[setup] support pre-build and jit-build of cuda kernels ( #2374 )
...
* [setup] support pre-build and jit-build of cuda kernels
* polish code
* polish code
* polish code
* polish code
* polish code
* polish code
2023-01-06 20:50:26 +08:00
85178a397a
[hotfix] fix error for torch 2.0 ( #2243 )
2022-12-30 23:11:55 +08:00
db4cbdc7fb
[builder] builder for scaled_upper_triang_masked_softmax ( #2234 )
2022-12-30 09:58:00 +08:00
1cb532ffec
[builder] multihead attn runtime building ( #2203 )
...
* [hotfix] correcnt cpu_optim runtime compilation
* [builder] multihead attn
* fix bug
* fix a bug
2022-12-27 16:06:09 +08:00
077a66dd81
updated attention kernel ( #2133 )
2022-12-16 10:54:03 +08:00
e7d3afc9cc
[optimizer] add div_scale for optimizers ( #2117 )
...
* [optimizer] add div_scale for optimizers
* [zero] use div_scale in zero optimizer
* fix testing error
2022-12-12 17:58:57 +08:00
f8a7148dec
[kernel] move all symlinks of kernel to `colossalai._C` ( #1971 )
2022-11-17 13:42:33 +08:00
6877121377
updated flash attention api
2022-11-15 15:25:39 +08:00
e0da01ea71
[hotfix] fix build error when torch version >= 1.13 ( #1803 )
2022-11-08 09:40:24 +08:00
9639ea88fc
[kernel] more flexible flashatt interface ( #1804 )
2022-11-07 17:02:09 +08:00
501a9e9cd2
[hotfix] polish flash attention ( #1802 )
2022-11-07 14:30:22 +08:00
c248800359
[kernel] skip tests of flash_attn and triton when they are not available ( #1798 )
2022-11-07 13:41:13 +08:00
25952b67d7
[feat] add flash attention ( #1762 )
2022-10-26 16:15:52 +08:00
12b4887097
[hotfix] fix CPUAdam kernel nullptr ( #1410 )
2022-08-05 19:45:45 +08:00
7696cead8d
Recover kernal files
2022-07-13 12:08:21 +08:00
87f679aeae
[NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/kernels.h code style ( #1291 )
2022-07-13 12:08:21 +08:00
d6f5ef8860
[NFC] polish colossalai/kernel/cuda_native/csrc/kernels/transform_kernels.cu code style ( #1286 )
2022-07-13 12:08:21 +08:00
5f6ab35d25
Hotfix/format ( #1274 )
...
* [NFC] Polish colossalai/kernel/cuda_native/csrc/multi_tensor_lamb.cu code style. (#937 )
* [NFC] polish colossalai/kernel/cuda_native/csrc/kernels/include/cuda_util.h code style
* [NFC] polish colossalai/kernel/cuda_native/csrc/scaled_masked_softmax.cpp code style
Co-authored-by: BoxiangW <45734921+BoxiangW@users.noreply.github.com>
2022-07-13 12:08:21 +08:00
c95e18cdb9
[NFC] polish colossalai/kernel/cuda_native/csrc/scaled_upper_triang_masked_softmax.h code style ( #1270 )
2022-07-13 12:08:21 +08:00
db13f96333
[NFC] polish colossalai/kernel/cuda_native/csrc/multi_tensor_apply.cuh code style ( #1264 )
2022-07-13 12:08:21 +08:00
5d7366b144
[NFC] polish colossalai/kernel/cuda_native/csrc/scaled_masked_softmax.h code style ( #1263 )
2022-07-13 12:08:21 +08:00
f1cafcc73a
[NFC] polish colossalai/kernel/cuda_native/csrc/kernels/dropout_kernels.cu code style ( #1261 )
...
Co-authored-by: “Arsmart123 <202476410arsmart@gmail.com>
2022-07-13 12:08:21 +08:00
f8b9aaef47
[NFC] polish colossalai/kernel/cuda_native/csrc/type_shim.h code style ( #1260 )
2022-07-13 12:08:21 +08:00
e4f555f29a
[optim] refactor fused sgd ( #1134 )
2022-06-20 11:19:38 +08:00
ae7c338105
[NFC] polish colossalai/kernel/cuda_native/csrc/colossal_C_frontend.cpp code style
2022-05-20 23:57:38 +08:00
533d0c46d8
[kernel] fixed the include bug in dropout kernel ( #999 )
2022-05-18 21:43:18 +08:00
bda70b4b66
[NFC] polish colossalai/kernel/cuda_native/layer_norm.py code style ( #980 )
2022-05-17 10:25:06 +08:00
Jun Gao