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error with deep learning workbench - preparing environment for keras model import

Hasanul_K_Intel
Employee
366 Views

Hi,

 

I am trying to import a .h5 keras model created using tensorflow 2.4.1. However, when I try to import the model it errors out after importing the model and when it tries to prepare the environment. 

Below is the error message that I get:

Cannot install packages for python /home/workbench/.workbench/environments/1/bin/python

Hasanul_K_Intel_0-1638845892229.png

 

I am not much familiar with the DL workbench. Any help would be highly appreciated.

 

Thanks,

Hasanul

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1 Solution
Tatiana_S
Employee
349 Views

Hi Hasanul,

citing @Alexander_D_Intel1 answer to a similar question:

There might be at least two reasons:

  1. there are not enough resources (RAM, drive) allocated for Docker containers. Note that Docker sets 2GB by default and DL Workbench requires at least 8GB.  So you need to configure your Docker settings
  2. you are running DL Workbench behind proxy while not properly configuring proxies. To check that, you can refer to the corresponding prerequisites section 

    Regards,
    Tatiana

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3 Replies
Tatiana_S
Employee
350 Views

Hi Hasanul,

citing @Alexander_D_Intel1 answer to a similar question:

There might be at least two reasons:

  1. there are not enough resources (RAM, drive) allocated for Docker containers. Note that Docker sets 2GB by default and DL Workbench requires at least 8GB.  So you need to configure your Docker settings
  2. you are running DL Workbench behind proxy while not properly configuring proxies. To check that, you can refer to the corresponding prerequisites section 

    Regards,
    Tatiana
Hasanul_K_Intel
Employee
319 Views

Thanks Tatiana! It was the proxy issue for me. 

Hairul_Intel
Moderator
304 Views

Hi Hasanul_K_Intel,

This thread will no longer be monitored since this issue has been resolved. If you need any additional information from Intel, please submit a new question.

 

 

Regards,

Hairul


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