Class ov::pass::FakeQuantizeEliminateSequential

class FakeQuantizeEliminateSequential : public ov::pass::ModelPass

FakeQuantizeEliminateSequential removes a redundant second FakeQuantize from a sequential pair (FQ1 -> FQ2). The notation below is FQ(in_low, in_high, out_low, out_high, levels).

FQ1 and FQ2 may be separated by one or several value-preserving ops. A matched FakeQuantize is applied element-wise (whether per-tensor or per-channel), so it commutes with such ops and the folding stays valid through the chain.

FQ2 is removed (FQ1 kept) when it is identical to FQ1, i.e. it has the same levels, auto broadcast, and range constants (input_low/input_high/output_low/output_high). In that case FQ2 only re-applies the quantization already produced by FQ1 and is redundant.

Before: ┌─────────┐ │ Data │ └────┬────┘ │ ┌────┴────┐ │ FQ1 │ └────┬────┘ │ ┌──────┴───────┐ │ Reshape / │ (optional, zero or more value-preserving ops) │ Transpose / │ │ Squeeze / │ │ Unsqueeze │ └──────┬───────┘ │ ┌────┴────┐ │ FQ2 │ (identical params to FQ1) └────┬────┘ │ ┌────┴────┐ │Consumer │ └─────────┘

After: ┌─────────┐ │ Data │ └────┬────┘ │ ┌────┴────┐ │ FQ1 │ └────┬────┘ │ ┌──────┴───────┐ │ Reshape / │ (optional, preserved) │ Transpose / │ │ Squeeze / │ │ Unsqueeze │ └──────┬───────┘ │ ┌────┴────┐ │Consumer │ └─────────┘

For example: FQ1(-1, 1, -1, 1, 256) -> FQ2(-1, 1, -1, 1, 256) => FQ1(-1, 1, -1, 1, 256)