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sequence parallel for uneven heads #6392

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merged 26 commits into from
Oct 25, 2024
Merged

sequence parallel for uneven heads #6392

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f5676a3
sequence parallel for uneven heads
inkcherry Aug 21, 2024
3ebb373
refine code
inkcherry Aug 23, 2024
fc0ec67
refine code
inkcherry Aug 23, 2024
836a59a
update
inkcherry Aug 28, 2024
b13a79c
fix all
inkcherry Aug 28, 2024
8210320
refine code
inkcherry Aug 28, 2024
6ffb101
test sp8 20heads
inkcherry Aug 28, 2024
b3578fb
update
inkcherry Aug 28, 2024
e1045bf
update comments
inkcherry Aug 28, 2024
8d1704e
update ut
inkcherry Aug 28, 2024
941ce30
update
inkcherry Aug 28, 2024
9b529eb
fix format
inkcherry Aug 28, 2024
dc9b90f
fix format
inkcherry Aug 28, 2024
82eefad
fix comments
inkcherry Aug 28, 2024
6d94d81
fix comments
inkcherry Aug 28, 2024
87d8599
uneven heads sp fix
inkcherry Aug 28, 2024
4af5b80
add assert, fix format
inkcherry Aug 28, 2024
554ff86
Merge branch 'master' into uneven_sp
inkcherry Aug 28, 2024
66fbb7e
replace view with reshape
inkcherry Aug 29, 2024
3913d2a
Merge branch 'master' into uneven_sp
loadams Sep 3, 2024
5d44b4a
Merge branch 'master' into uneven_sp
tjruwase Oct 8, 2024
89cf88a
Update deepspeed/sequence/layer.py
inkcherry Oct 14, 2024
e0c0cc0
Merge branch 'master' into uneven_sp
delock Oct 15, 2024
7f49a9e
Merge branch 'master' into uneven_sp
delock Oct 16, 2024
75df154
Merge branch 'master' into uneven_sp
tohtana Oct 17, 2024
be805e7
Merge branch 'master' into uneven_sp
loadams Oct 25, 2024
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fix comments
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@inkcherry
inkcherry committed Aug 28, 2024
commit 6d94d81c7a7ab1f75cddd0a91a4829a5f823a127
2 changes: 1 addition & 1 deletion tests/unit/sequence_parallelism/test_ulysses.py
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Expand Up @@ -124,7 +124,7 @@ def seq_batch_heads_hash(d0, d1, h, offset_d0=0, offset_d1=0, offset_h=0):
if batch_dim_idx == 1: #seq_len_dim : 0(d0)
input_tensor[:] = seq_batch_heads_hash(d0_indices, d1_indices, h_indices,
d0 * groups._get_sequence_parallel_rank(), 0)
elif batch_dim_idx == 0: #seq_len_dim : 1(d1
elif batch_dim_idx == 0: #seq_len_dim : 1(d1)
input_tensor[:] = seq_batch_heads_hash(d0_indices, d1_indices, h_indices, 0,
d1 * groups._get_sequence_parallel_rank())
inputs.append(input_tensor)
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