Skip to content

Compile pccl #248

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
wants to merge 1 commit into
base: pccl-integration
Choose a base branch
from
Open

Compile pccl #248

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions src/zeroband/models/llama/model.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -11,7 +11,7 @@
# Copyright (c) Meta Platforms, Inc. All Rights Reserved.


import contextlib

Check failure on line 14 in src/zeroband/models/llama/model.py

View workflow job for this annotation

GitHub Actions / ruff

Ruff (F401) 

src/zeroband/models/llama/model.py:14:8: F401 `contextlib` imported but unused
from dataclasses import dataclass
from typing import Optional, Tuple

Expand All @@ -21,7 +21,7 @@
from zeroband.config import AttnFnType

from torch.nn.attention.flex_attention import create_block_mask, flex_attention, BlockMask, _DEFAULT_SPARSE_BLOCK_SIZE
from torch.nn.attention import SDPBackend, sdpa_kernel

Check failure on line 24 in src/zeroband/models/llama/model.py

View workflow job for this annotation

GitHub Actions / ruff

Ruff (F401) 

src/zeroband/models/llama/model.py:24:32: F401 `torch.nn.attention.SDPBackend` imported but unused

Check failure on line 24 in src/zeroband/models/llama/model.py

View workflow job for this annotation

GitHub Actions / ruff

Ruff (F401) 

src/zeroband/models/llama/model.py:24:44: F401 `torch.nn.attention.sdpa_kernel` imported but unused

from zeroband.utils.mfu_tracker import FlopCounter

Expand Down Expand Up @@ -143,8 +143,8 @@

xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
flop_counter.track_binary(xq_, freqs_cis)
flop_counter.track_binary(xk_, freqs_cis)
# flop_counter.track_binary(xq_, freqs_cis)
# flop_counter.track_binary(xk_, freqs_cis)

return xq_out.type_as(xq), xk_out.type_as(xk)

Expand Down
Loading