Skip to content
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

fix load of models with Add and Concat layers #626

Merged
merged 2 commits into from
Jul 27, 2023
Merged

fix load of models with Add and Concat layers #626

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
d8581cf
fix load of models with Add and_Concat layers
freedomtan Jul 27, 2023
6a139f6
reformat to make linter happy
freedomtan Jul 27, 2023
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
2 changes: 1 addition & 1 deletion keras_core/layers/merging/base_merge.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -61,7 +61,7 @@ def _compute_elemwise_op_output_shape(self, shape1, shape2):

def build(self, input_shape):
# Used purely for shape validation.
if not isinstance(input_shape[0], tuple):
if not isinstance(input_shape[0], (tuple, list)):
raise ValueError(
"A merge layer should be called on a list of inputs. "
f"Received: input_shape={input_shape} (not a list of shapes)"
Expand Down
4 changes: 3 additions & 1 deletion keras_core/layers/merging/concatenate.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -39,7 +39,9 @@ def __init__(self, axis=-1, **kwargs):

def build(self, input_shape):
# Used purely for shape validation.
if len(input_shape) < 1 or not isinstance(input_shape[0], tuple):
if len(input_shape) < 1 or not isinstance(
input_shape[0], (tuple, list)
):
raise ValueError(
"A `Concatenate` layer should be called on a list of "
f"at least 1 input. Received: input_shape={input_shape}"
Expand Down