Quantization
Eight-bit integer quantization represents selected tensors with integer values and scale factors. It is established for weights and can include activations when calibration and kernels support them.
Integer storage reduces memory traffic while retaining more quantization levels than narrower integer formats. Activation quantization adds compute opportunities but makes range selection and outliers more important.
Quantizers choose tensor, channel, or group scales from weights and representative activations. Teams verify kernel coverage and quality because unsupported operations may retain wider precision.
Eight-bit integer quantization represents selected tensors with integer values and scale factors. It is established for weights and can include activations when calibration and kernels support them. Quantizers choose tensor, channel, or group scales from weights and representative activations. Teams verify kernel coverage and quality because unsupported operations may retain wider precision.
Integer storage reduces memory traffic while retaining more quantization levels than narrower integer formats. Activation quantization adds compute opportunities but makes range selection and outliers more important.
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