Commit Graph

30 Commits

Author SHA1 Message Date
5ebf66748b [FEAT][ROCm] Integrate Fused MoE Kernels from AITER (#14967)
Signed-off-by: vllmellm <vllm.ellm@embeddedllm.com>
Signed-off-by: tjtanaa <tunjian.tan@embeddedllm.com>
Co-authored-by: tjtanaa <tunjian.tan@embeddedllm.com>
2025-03-26 16:30:30 +08:00
f533b5837f [ROCm][Kernel] MoE weights padding (#14454)
Signed-off-by: Gregory Shtrasberg <Gregory.Shtrasberg@amd.com>
Signed-off-by: charlifu <charlifu@amd.com>
Co-authored-by: charlifu <charlifu@amd.com>
2025-03-24 23:45:30 +00:00
72c62eae5f [V1] EP/TP MoE + DP Attention (#13931) 2025-03-04 21:27:26 -08:00
781096e385 Expert Parallelism (EP) Support for DeepSeek V2 (#12583) 2025-02-24 07:33:20 -08:00
e489ad7a21 [Misc] Add SPDX-License-Identifier headers to python source files (#12628)
- **Add SPDX license headers to python source files**
- **Check for SPDX headers using pre-commit**

commit 9d7ef44c3cfb72ca4c32e1c677d99259d10d4745
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:18:24 2025 -0500

    Add SPDX license headers to python source files
    
This commit adds SPDX license headers to python source files as
recommended to
the project by the Linux Foundation. These headers provide a concise way
that is
both human and machine readable for communicating license information
for each
source file. It helps avoid any ambiguity about the license of the code
and can
    also be easily used by tools to help manage license compliance.
    
The Linux Foundation runs license scans against the codebase to help
ensure
    we are in compliance with the licenses of the code we use, including
dependencies. Having these headers in place helps that tool do its job.
    
    More information can be found on the SPDX site:
    
    - https://spdx.dev/learn/handling-license-info/
    
    Signed-off-by: Russell Bryant <rbryant@redhat.com>

commit 5a1cf1cb3b80759131c73f6a9dddebccac039dea
Author: Russell Bryant <rbryant@redhat.com>
Date:   Fri Jan 31 14:36:32 2025 -0500

    Check for SPDX headers using pre-commit
    
    Signed-off-by: Russell Bryant <rbryant@redhat.com>

---------

Signed-off-by: Russell Bryant <rbryant@redhat.com>
2025-02-02 11:58:18 -08:00
27b78c73ca [Kernel] add triton fused moe kernel for gptq/awq (#12185) 2025-01-29 09:07:09 -05:00
263a870ee1 [Hardware][TPU] workaround fix for MoE on TPU (#11764) 2025-01-12 10:53:51 -05:00
79ee45b428 [Misc] Bump up test_fused_moe tolerance (#10364)
Signed-off-by: ElizaWszola <eliza@neuralmagic.com>
2024-11-15 16:31:18 +00:00
235366fe2e [CI] Prune back the number of tests in tests/kernels/* (#9932)
Signed-off-by: mgoin <michael@neuralmagic.com>
2024-11-05 16:02:32 -05:00
622b7ab955 [Hardware] using current_platform.seed_everything (#9785)
Signed-off-by: wangshuai09 <391746016@qq.com>
2024-10-29 14:47:44 +00:00
32176fee73 [torch.compile] support moe models (#9632)
Signed-off-by: youkaichao <youkaichao@gmail.com>
2024-10-27 21:58:04 -07:00
4e2d95e372 [Hardware][ROCM] using current_platform.is_rocm (#9642)
Signed-off-by: wangshuai09 <391746016@qq.com>
2024-10-28 04:07:00 +00:00
59449095ab [Performance][Kernel] Fused_moe Performance Improvement (#9384)
Signed-off-by: charlifu <charlifu@amd.com>
2024-10-24 15:37:52 -07:00
eca2c5f7c0 [Bugfix] Fix support for dimension like integers and ScalarType (#9299) 2024-10-17 19:08:34 +00:00
05d686432f [Kernel] Zero point support in fused MarlinMoE kernel + AWQ Fused MoE (#8973)
Co-authored-by: Dipika <dipikasikka1@gmail.com>
Co-authored-by: Dipika Sikka <ds3822@columbia.edu>
2024-10-04 12:34:44 -06:00
d081da0064 [Bugfix] Fix Marlin MoE act order when is_k_full == False (#8741)
Co-authored-by: Tyler Michael Smith <tyler@neuralmagic.com>
2024-09-28 18:19:40 -07:00
300da09177 [Kernel] Fullgraph and opcheck tests (#8479) 2024-09-25 08:35:52 -06:00
6ffa3f314c [CI/Build] Avoid CUDA initialization (#8534) 2024-09-18 10:38:11 +00:00
a091e2da3e [Kernel] Enable 8-bit weights in Fused Marlin MoE (#8032)
Co-authored-by: Dipika <dipikasikka1@gmail.com>
2024-09-16 09:47:19 -06:00
6cd5e5b07e [Misc] Fused MoE Marlin support for GPTQ (#8217) 2024-09-09 23:02:52 -04:00
50b8d08dbd [Misc/Testing] Use torch.testing.assert_close (#7324) 2024-08-16 04:24:04 +00:00
7c008c51a9 [ Misc ] Refactor MoE to isolate Fp8 From Mixtral (#5970)
Co-authored-by: Robert Shaw <rshaw@neuralmagic>
Co-authored-by: Michael Goin <michael@neuralmagic.com>
2024-07-02 21:54:35 +00:00
12a59959ed [Bugfix] adding chunking mechanism to fused_moe to handle large inputs (#6029) 2024-07-01 21:08:29 +00:00
2a052011ca [Kernel] Support MoE Fp8 Checkpoints for Mixtral (Static Weights with Dynamic/Static Activations) (#4527)
Follow on to #4332 to enable FP8 checkpoint loading for Mixtral and supersedes #4436.

This PR enables the following checkpoint loading features for Mixtral:

Supports loading fp8 checkpoints for Mixtral, such as this "nm-testing/Mixtral-8x7B-Instruct-v0.1-FP8" test model
Supports static or dynamic activation quantization with static weight quantization (all per tensor)
Supports different scales for each expert weight
Supports Fp8 in QKV layer
Notes:

The Expert Gate/Router always runs at half / full precision for now.
If there are different weight scales between QKV layer (for separate QKV weights), they are re-quantized using layer.weight_scale.max() so we can have a single gemm for performance.
2024-05-04 11:45:16 -07:00
a10d3056da [Core] Set linear_weights directly on the layer (#3977) 2024-04-11 16:35:51 -04:00
01bfb22b41 [CI] Try introducing isort. (#3495) 2024-03-25 07:59:47 -07:00
41deac4a3d [BugFix] 1D query fix for MoE models (#3597) 2024-03-24 16:00:16 -07:00
2f8844ba08 Re-enable the 80 char line width limit (#3305) 2024-03-10 19:49:14 -07:00
f0d4e14557 Add fused top-K softmax kernel for MoE (#2769) 2024-02-05 17:38:02 -08:00
d0d93b92b1 Add unit test for Mixtral MoE layer (#2677) 2024-01-31 14:34:17 -08:00