diff options
Diffstat (limited to 'ethosu/vela/tensor.py')
| -rw-r--r-- | ethosu/vela/tensor.py | 8 |
1 files changed, 1 insertions, 7 deletions
diff --git a/ethosu/vela/tensor.py b/ethosu/vela/tensor.py index 8f685853..1e4ea115 100644 --- a/ethosu/vela/tensor.py +++ b/ethosu/vela/tensor.py @@ -215,7 +215,6 @@ class QuantizationParameters: "max", "num_bits", "narrow_range", - "next_after", "scale_f32", "zero_point", "quant_min", @@ -238,10 +237,6 @@ class QuantizationParameters: self.num_bits = num_bits self.narrow_range = narrow_range - # Use the 'next after' float value of scale_f32 when converting to scale and shift. It can be combined with - # natural rounding to perform rounding away from zero. This only affects the ofm scale and bias tensor, it has - # no affect on global scaling i.e. the ofm_scale register - self.next_after = False self.scale_f32: Union[float, np.ndarray, None] = scale_f32 self.zero_point: Union[int, np.ndarray, None] = zero_point self.quant_min: Optional[float] = None @@ -251,7 +246,7 @@ class QuantizationParameters: def __str__(self): return ( f"<nng.QuantizationParameters min={self.min}, max={self.max}, num_bits={self.num_bits}, " - f"scale={self.scale_f32}, zero_point={self.zero_point}, next={self.next_after}>" + f"scale={self.scale_f32}, zero_point={self.zero_point}>" ) __repr__ = __str__ @@ -264,7 +259,6 @@ class QuantizationParameters: res.num_bits = self.num_bits res.narrow_range = self.narrow_range - res.next_after = self.next_after res.scale_f32 = self.scale_f32 res.zero_point = self.zero_point res.quant_min = self.quant_min |