//clika-runtime/io.clika.runtime/Ops/quantizeDequantize

quantizeDequantize

[common]
fun quantizeDequantize(input: Tensor, scale: Tensor, zeroPoint: Tensor? = null, quantAxis: Long = -1L, codeDtype: DType = DType.UNDEFINED, outDtype: DType = DType.UNDEFINED, blockSize: Long = 0): Tensor

quantizeDequantize(input: Tensor, scale: Tensor, zeroPoint: Tensor? = null, quantAxis: Long = -1L, codeDtype: DType = DType.UNDEFINED, outDtype: DType = DType.UNDEFINED, blockSize: Long = 0L): the quantize_dequantize operator. Fake-quantize: encode input to affine codes and decode straight back (one op, no code tensor materialized), so the output is input snapped onto the quantization grid. scale / zero_point / quant_axis / block_size declare the scheme exactly as in quantize; code_dtype is the grid's code dtype (Undefined = the zero-point's dtype, else Int8); out_dtype picks the float output dtype (Undefined = input's own). The quantization-aware inspection/tooling entry.