Comments (2)
@sushruthn96, it should be possible to do so - try adapting the available classification filter pruning configs to the SSD training configs (basically just copy and paste "compression"
sections between the NNCF .json configs).
@mkaglins might correct me if I'm wrong.
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@sushruthn96 @vshampor Yes, filter pruning for SSD models is supported by default with the adapted config.
But unfortunately, export to ONNX for SSD models is not supported yet.
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Related Issues (20)
- nncf + ultralytics yolov8 training-time compression HOT 7
- Ultralytics yolov8 QAT example HOT 1
- Thanks to our Contributors HOT 1
- [Good First Issue][NNCF]: Add INT8 weight compression conformance test for Tinyllama-1.1b PyTorch model HOT 19
- [Good First Issue][NNCF]: Fixing NNCFGraph export for visualization in Netron HOT 6
- Why doesn't the size and precision of the model change after INT4 quantization? HOT 2
- [Good First Issue][NNCF]: Optimize memory footprint by removing redundant collected statistics HOT 8
- [Good First Issue][NNCF]: Dump actual_subset_size to ov.Model HOT 13
- [Good First Issue][NNCF]: dump the ignored scope more gracefully HOT 4
- [Good First Issue][NNCF]: check number of u8, u4 constants in weight compression tests HOT 10
- PTQ of Fast R-CNN crashes in PyTorch backend HOT 1
- [Good First Issue][NNCF]: fix invalid error reporting in JSON schema HOT 19
- [Good First Issue][NNCF]: Add tests for torch device utils HOT 5
- [Good First Issue][NNCF]: Remove compress_to_fp16=False from examples HOT 3
- AttributeError: 'list' object has no attribute 'keys' when executing yolov8_quantize_with_accuracy_control example HOT 4
- The question about function create_compressed_model():RuntimeError: CUDA error: device-side assert triggered HOT 4
- Very inconsistent quantization results on Tensorflow HOT 10
- When will there be a c++ interface? HOT 2
- IndexError: list index out of range When I try to quantize llama models using OVQuantizer HOT 2
- [BUG] Phi3 Medium int4 Runtime Error: probability tensor contains either `inf`, `nan` or element < 0 HOT 6
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