Related Issues (20)
- Evaluate deprecation of quant_accumulator.py
- How QuantHardTanh works HOT 1
- Fix QCDQDecoupledWeightQuantProxyHandlerMixin return args HOT 2
- Guidance for QAT
- cannot import name 'activation_equalization_mode' from 'brevitas.graph.equalize' HOT 6
- QuantMultiheadAttention: Use signed quantizer for attention weights? HOT 1
- QuantMultiheadAttention: Transpose keys after quantizer? HOT 1
- Bias Correction with DDP
- Value Tracer __setslice__
- Move create quant maps functions from ptq to quantize_impl
- Brevitas `make_fx` generating different graph HOT 4
- Learned Round + FX quantization
- Control Overflow mode and Quantization mode
- `QuantTensor`'s `__truediv__` always results in a `NaN` zero-point when both inputs have a 0 zero point HOT 1
- Fix gptq activation quantization error propagation
- SymbolicValueError During 4-bit Quantized CNN ONNX Export with Brevitas HOT 3
- `AssertionError` when combining `BREVITAS_JIT=1` and `torch.compile` under PyTorch `v2.0.1`
- Hello, how can I use frames for non-uniform quantization? This is because I found zero_point to be 0 in my code HOT 1
- Does there have to be QuantIdentity as a first layer? HOT 8
- What is role of scaling_per_output_channel in QuantReLU? HOT 1
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