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.

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

Add a single positional argument mode for shape inference in subclass… #20203

Merged
merged 1 commit into from
Jun 25, 2018

Conversation

alextp
Copy link
Contributor

@alextp alextp commented Jun 21, 2018

…ed Models.

Allows fit() when call's signature looks something like call(x, training=True).

Calling conventions are "inputs", single positional, and multiple positional. Right now the distinction between "inputs" and single positional calling conventions is the text of one error message. Both support shape inference (which just hasn't been implemented for multiple positional input arguments yet).

PiperOrigin-RevId: 198815483

…ed Models.

Allows fit() when call's signature looks something like call(x, training=True).

Calling conventions are "inputs", single positional, and multiple positional. Right now the distinction between "inputs" and single positional calling conventions is the text of one error message. Both support shape inference (which just hasn't been implemented for multiple positional input arguments yet).

PiperOrigin-RevId: 198815483
@alextp alextp requested a review from case540 June 21, 2018 21:12
@case540 case540 self-assigned this Jun 21, 2018
@case540 case540 merged commit dde358c into tensorflow:r1.9 Jun 25, 2018
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

Successfully merging this pull request may close these issues.

None yet

4 participants