Skip to content

[ET-VK] Generalize MeanToSumDiv to any dtype #3794

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

Closed
wants to merge 2 commits into from
Closed

[ET-VK] Generalize MeanToSumDiv to any dtype #3794

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
efc4869
[ET-VK] Generalize MeanToSumDiv to any dtype
May 31, 2024
cbd5c54
Update on "[ET-VK] Generalize MeanToSumDiv to any dtype"
Jun 3, 2024
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 backends/transforms/mean_to_sum_div.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,6 @@
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

import torch
from executorch.exir.dialects._ops import ops as exir_ops

from executorch.exir.pass_base import ExportPass
Expand All @@ -19,6 +18,7 @@ def call_operator(self, op, args, kwargs, meta):
)
# args[0] is the input tensor
shape = args[0].node.meta["val"].shape
dtype = args[0].node.meta["val"].dtype
dims_to_reduce = args[1]
size = 1.0
for dim in dims_to_reduce:
Expand All @@ -32,7 +32,7 @@ def call_operator(self, op, args, kwargs, meta):
],
size,
),
{"dtype": torch.float32},
{"dtype": dtype},
meta,
)

Expand Down