Executor start aborting..You must feed a value for placeholder tensor 'inputs' with dtype float and shape [?,128]

Is there any resolution for this repeated message I’m getting, besides ignoring it?
I’m a little leery of downgrading to 2.11.1, as I’ve seen mentioned elsewhere, as things like that can devolve into a day-long session of wailing and gnashing of teeth.
Thanks!

2023-05-22 15:43:55.493042: I tensorflow/core/common_runtime/executor.cc:1197] [/device:CPU:0] (DEBUG INFO) Executor start aborting (this does not indicate an error and you can ignore this message): INVALID_ARGUMENT: You must feed a value for placeholder tensor 'inputs' with dtype float and shape [?,128]
	 [[{{node inputs}}]]

Arch distrobox running on Silverblue 38.

NAME="Fedora Linux"
VERSION="38.20230520.0 (Silverblue)"
ID=fedora
VERSION_ID=38
VERSION_CODENAME=""
PLATFORM_ID="platform:f38"
PRETTY_NAME="Fedora Linux 38.20230520.0 (Silverblue)"
ANSI_COLOR="0;38;2;60;110;180"
LOGO=fedora-logo-icon
CPE_NAME="cpe:/o:fedoraproject:fedora:38"
DEFAULT_HOSTNAME="fedora"
HOME_URL="https://silverblue.fedoraproject.org"
DOCUMENTATION_URL="https://docs.fedoraproject.org/en-US/fedora-silverblue/"
SUPPORT_URL="https://ask.fedoraproject.org/"
BUG_REPORT_URL="https://github.com/fedora-silverblue/issue-tracker/issues"
REDHAT_BUGZILLA_PRODUCT="Fedora"
REDHAT_BUGZILLA_PRODUCT_VERSION=38
REDHAT_SUPPORT_PRODUCT="Fedora"
REDHAT_SUPPORT_PRODUCT_VERSION=38
SUPPORT_END=2024-05-14
VARIANT="Silverblue"
VARIANT_ID=silverblue
OSTREE_VERSION='38.20230520.0'
OS: Arch Linux x86_64 
Kernel: 6.2.15-300.fc38.x86_64 
Uptime: 1 day, 3 hours, 29 mins 
Packages: 770 (pacman) 
Shell: bash 5.1.16 
Resolution: 1024x768 
DE: GNOME 
WM: Mutter 
WM Theme: Adwaita 
Theme: Adwaita [GTK2/3] 
Icons: Adwaita [GTK2/3] 
Terminal: conmon 
CPU: 13th Gen Intel i9-13900K (32) @ 5.500GHz 
GPU: NVIDIA RTX A4500 
Memory: 15580MiB / 128502MiB 

@John,

Could you please share standalone code to reproduce the issue?

Thank you!

I am also facing the same on colab. I am training object detection model using custom data
@chunduriv

@Pranil_Patil,

Welcome to the Tensorflow Forum!

Could you please share standalone code or colab gist to debug your issue?

Thank you!

hello, here is colab link Custom Object Detection.ipynb - Colaboratory (google.com)

Thanks for your reply.
I haven’t been able to reproduce this on a MWE yet.