From d67c0aaccd91f4be3ea76f69fa063301ffc73aa3 Mon Sep 17 00:00:00 2001 From: Fredrik Svedberg Date: Mon, 30 Mar 2020 13:15:28 +0200 Subject: MLBEDSW-819: make int16 changes Enabled int16 support quantization to match the reference. Change-Id: Ib369640241a9a491f2b0bc52d7f6cb025e30344b Signed-off-by: Fredrik Svedberg --- ethosu/vela/weight_compressor.py | 11 +++++++---- 1 file changed, 7 insertions(+), 4 deletions(-) (limited to 'ethosu/vela/weight_compressor.py') diff --git a/ethosu/vela/weight_compressor.py b/ethosu/vela/weight_compressor.py index 0b4ac696..92197248 100644 --- a/ethosu/vela/weight_compressor.py +++ b/ethosu/vela/weight_compressor.py @@ -25,7 +25,7 @@ import math import numpy as np from collections import namedtuple from .numeric_util import round_up -from .scaling import quantise_scale +from .scaling import quantise_scale, reduced_quantise_scale from .tensor import TensorPurpose, TensorSubPurpose, TensorFormat, TensorBlockTraversal from .operation import NpuBlockType from .architecture_features import Block @@ -287,7 +287,7 @@ def calc_scales_and_pack_biases(tens, arch, oc_quantum, rescale_for_faf=False): if not rescale_for_faf: if ifm_dtype == DataType.uint8: scales = [np.double(ifm_scale * weight_scale) / np.double(ofm_scale) for weight_scale in weight_scales] - elif ifm_dtype == DataType.int8: + elif ifm_dtype == DataType.int8 or ifm_dtype == DataType.int16: scales = [ (np.double(ifm_scale) * np.double(weight_scale)) / np.double(ofm_scale) for weight_scale in weight_scales @@ -297,13 +297,16 @@ def calc_scales_and_pack_biases(tens, arch, oc_quantum, rescale_for_faf=False): else: if ifm_dtype == DataType.uint8: scales = [np.double(ifm_scale * weight_scale * 0x3000) for weight_scale in weight_scales] - elif ifm_dtype == DataType.int8: + elif ifm_dtype == DataType.int8 or ifm_dtype == DataType.int16: scales = [(np.double(ifm_scale * 0x3000) * np.double(weight_scale)) for weight_scale in weight_scales] else: assert False, str(ifm_dtype) + " not implemented" # quantise all of the weight scales into (scale_factor, shift) - quantised_scales = [quantise_scale(scale) for scale in scales] + if ifm_dtype == DataType.int16: + quantised_scales = [reduced_quantise_scale(scale) for scale in scales] + else: + quantised_scales = [quantise_scale(scale) for scale in scales] for _, shift in quantised_scales: assert shift >= 16 -- cgit v1.2.1