#14080: Preprocess weights for Conv2D on Device

[sankarmanoj-tt]

Ticket

#14080

Problem description

Currently weights preprocessing takes place on the host, on a single thread. This is slow, especially when there is a large weights matrix, and Debug mode is enabled.

What's changed

The weights are loaded to the device in the same format as PyTorch. All other processing, including permute, padding, etc are done on the Device.

Checklist

• Post commit CI passes
• Blackhole Post commit (if applicable)
• Model regression CI testing passes (if applicable)
• Device performance regression CI testing passes (if applicable)
• (For models and ops writers) Full new models tests passes
• New/Existing tests provide coverage for changes

[sankarmanoj-tt]

@sankarmanoj-tt TODO: Re-enable transpose cast