diff options
Diffstat (limited to 'ethosu/vela/tensor.py')
| -rw-r--r-- | ethosu/vela/tensor.py | 17 |
1 files changed, 10 insertions, 7 deletions
diff --git a/ethosu/vela/tensor.py b/ethosu/vela/tensor.py index 99970317..9fbd454c 100644 --- a/ethosu/vela/tensor.py +++ b/ethosu/vela/tensor.py @@ -1,4 +1,4 @@ -# Copyright (C) 2020-2021 Arm Limited or its affiliates. All rights reserved. +# Copyright (C) 2020-2022 Arm Limited or its affiliates. All rights reserved. # # SPDX-License-Identifier: Apache-2.0 # @@ -213,6 +213,7 @@ class QuantizationParameters: "max", "num_bits", "narrow_range", + "next_after", "scale_f32", "zero_point", "quant_min", @@ -233,6 +234,10 @@ 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] = None self.zero_point: Union[int, np.ndarray, None] = None self.quant_min: Optional[float] = None @@ -240,12 +245,9 @@ class QuantizationParameters: self.quant_dim: Optional[int] = None def __str__(self): - return "<nng.QuantizationParameters min=%s max=%s, num_bits=%s, scale=%s, zero_point=%s>" % ( - self.min, - self.max, - self.num_bits, - self.scale_f32, - self.zero_point, + 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}>" ) __repr__ = __str__ @@ -258,6 +260,7 @@ 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 |