Skip to content

Unable to save model #174

Open
Open
@mohit-av

Description

@mohit-av

I'm creating a model to decompress my image in TF using Conv2DTranspose and GDN layer. My architecture looks like this:

import os
import tensorflow as tf
from tensorflow_compression import layers
from tensorflow.keras.layers import Conv2DTranspose
from tensorflow.keras.models import Sequential
network_channels = 128
compression_channels = 192
in_channels = 3

gdn_layer_1 = layers.GDN(inverse=True, rectify=False, data_format = "channels_first") 
gdn_layer_2 = layers.GDN(inverse=True, rectify=False, data_format = "channels_first")
gdn_layer_3 = layers.GDN(inverse=True, rectify=False, data_format = "channels_first")
model = Sequential()
model.add(Conv2DTranspose(network_channels, (5, 5), strides = (2, 2), padding= 'same', output_padding = (1,1), data_format = 'channels_first', input_shape=( compression_channels, 1, 1)))
model.add(gdn_layer_1)
model.add(Conv2DTranspose(network_channels, (5, 5), strides = (2, 2), padding= 'same', output_padding = (1,1), data_format = 'channels_first'))
model.add(gdn_layer_2)
model.add(Conv2DTranspose(network_channels, (5, 5), strides = (2, 2), padding= 'same', output_padding = (1,1), data_format = 'channels_first'))
model.add(gdn_layer_3)
model.add(Conv2DTranspose(in_channels, (5, 5), strides = (2, 2), padding= 'same', output_padding = (1,1), data_format = 'channels_first'))
model.summary()

Screenshot 2023-02-22 at 9 55 13 AM

When I'm saving my model using the below command.

model.save(os.path.join("./tf_model"))

It's resulting in this issue:

Screenshot 2023-02-22 at 9 58 41 AM

My TF version is 2.11.0. I'm also attaching link to Colab Notebook to replicate the issue.

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions