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support for true batches with multipack (#1230)

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* support for true batches with multipack

* patch the map dataset fetcher to handle batches with packed indexes

* patch 4d mask creation for sdp attention

* better handling for BetterTransformer

* patch general case for 4d mask

* setup forward patch. WIP

* fix patch file

* support for multipack w/o flash attention for llama

* cleanup

* add warning about bf16 vs fp16 for multipack with sdpa

* bugfixes

* add 4d multipack tests, refactor patches

* update tests and add warnings

* fix e2e file check

* skip sdpa test if not at least torch 2.1.1, update docs
This commit is contained in:
Wing Lian
2024-02-01 10:18:42 -05:00
committed by GitHub
parent c67fb71583
commit 00568c1539
24 changed files with 573 additions and 246 deletions
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tests/e2e/patched/test_fused_llama.py
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@@ -33,6 +33,7 @@ class TestFusedLlama(unittest.TestCase):
{
"base_model": "JackFram/llama-68m",
"flash_attention": True,
"pad_to_sequence_len": True,
"flash_attn_fuse_qkv": True,
"flash_attn_fuse_mlp": True,
"sample_packing": True,