提交 5d2b2113 编写于 作者: L liutuo

fix calculate cosine similarity accurate

上级 487ad9dc
...@@ -18,8 +18,6 @@ import os ...@@ -18,8 +18,6 @@ import os
import os.path import os.path
import numpy as np import numpy as np
import re import re
from scipy import spatial
from scipy import stats
import common import common
...@@ -60,14 +58,22 @@ def calculate_sqnr(expected, actual): ...@@ -60,14 +58,22 @@ def calculate_sqnr(expected, actual):
return signal_power_sum / (noise_power_sum + 1e-15) return signal_power_sum / (noise_power_sum + 1e-15)
def calculate_similarity(u, v, data_type=np.float64):
if u.dtype is not data_type:
u = u.astype(data_type)
if v.dtype is not data_type:
v = v.astype(data_type)
return np.dot(u, v) / (np.linalg.norm(u) * np.linalg.norm(v))
def compare_output(platform, device_type, output_name, mace_out_value, def compare_output(platform, device_type, output_name, mace_out_value,
out_value, validation_threshold): out_value, validation_threshold):
if mace_out_value.size != 0: if mace_out_value.size != 0:
out_value = out_value.reshape(-1) out_value = out_value.reshape(-1)
mace_out_value = mace_out_value.reshape(-1) mace_out_value = mace_out_value.reshape(-1)
assert len(out_value) == len(mace_out_value) assert len(out_value) == len(mace_out_value)
similarity = (1 - spatial.distance.cosine(out_value, mace_out_value))
sqnr = calculate_sqnr(out_value, mace_out_value) sqnr = calculate_sqnr(out_value, mace_out_value)
similarity = calculate_similarity(out_value, mace_out_value)
common.MaceLogger.summary( common.MaceLogger.summary(
output_name + ' MACE VS ' + platform.upper() output_name + ' MACE VS ' + platform.upper()
+ ' similarity: ' + str(similarity) + ' , sqnr: ' + str(sqnr)) + ' similarity: ' + str(similarity) + ' , sqnr: ' + str(sqnr))
......
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