TensorWright is a cross-layer debugging platform for quantized AI accelerators. It compares bit-accurate ONNX reference results with SystemVerilog RTL execution to locate numerical and streaming-protocol failures, recommend fixes, generate regressions, and produce interactive verification dashboards.
fpga systemverilog hardware-acceleration verilator onnx hardware-verification rtl-design machine-learning-compiler int8-quantization tensorwright
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Updated
Aug 3, 2026 - Python