Let me try to follow your discussion compared with our internal implementation, for round (of requantize), when we get the `input_scale` / `kernel_scale` / `output_scale`, we want to get the `shift` / `multiplier` (See: https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/kernels/internal/quantization_util.cc#L52 ) and pass to real `requantize` (i.e. corresponding to https://github.com/tensorflow/tensorflow/blob/master/tensorflow/lite/kernels/internal/common.h#L148) . If we decide to do it in Python frontend like our internal implementation (we use Python to handle it and pass the `shift` / `multiplier` to previous real requantize, we should notice Python3's round is `rounds to the nearest "even" number`, not `round away from zero` like C++ std::round. We could implement it very easily: ```python def _round_away_from_zero(value): abs_value = abs(value) result = math.floor(abs_value) + math.floor(2 * (abs_value % 1)) return result if value >= 0 else -result ``` Maybe your discuss of round is here, right?
-- You are receiving this because you are subscribed to this thread. Reply to this email directly or view it on GitHub: https://github.com/dmlc/tvm/issues/2351#issuecomment-509075561
