executorch
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On-device AI across mobile, embedded and edge for PyTorch
Hello, I want to quantize yolov5 model for XNNPACK backend on Intel CPU. So far, I confirmed following: 1. Exporting resnet18 into xnnpack-exported-resnet18.pte for XNNPACK backend. 2. Running xnnpack-resnet18.pte 3....
Added HiFi optimizations for add sub mul and div operators
### 🐛 Describe the bug python -m examples.models.llama2.export_llama --checkpoint "${MODEL_DIR}/model.pth" -p "${MODEL_DIR}/original/params.json" -kv --disable_dynamic_shape --qnn --pt2e_quantize qnn_16a4w -d fp32 --metadata '{"get_bos_id":128000, "get_eos_ids":[128009, 128001]}' --soc_model SM8650 --output_name="test.pte" nomodule error ModuleNotFoundError: No...
Summary: # Summary Integrating Axis Mapping into Quantized Linear texture implementation following D62518403. This updates the Quantized Linear shader to map the virtual texture axis to the logical texture axis....
- Enabled via EXECUTORCH_ENABLE_EVENT_TRACER - Add flag 'etdump_path' to specify the file path for the ETDump file - Add flag 'num_executions' for number of iterations to run - Create and...