def get_label(fname):
f = open(fname, 'rb')
rbyte = f.read()
f.close()
score_list = []
for i in range(10):
byte = b''
byte += convert_to_bytes(rbyte[i * 4])
byte += convert_to_bytes(rbyte[i * 4 + 1])
byte += convert_to_bytes(rbyte[i * 4 + 2])
byte += convert_to_bytes(rbyte[i * 4 + 3])
score_list.append(struct.unpack('f', byte))
return score_list.index(max(score_list))
##
# SPDX-License-Identifier: LGPL-2.1-only
#
# Copyright (C) 2018 Samsung Electronics
#
# @file checkLabel.py
# @brief Check the result label of tensorflow-lite model
# @author HyoungJoo Ahn <*****@*****.**>
import sys
import os
import struct
import string
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
from test_utils import convert_to_bytes, read_file
bytearr = read_file(sys.argv[1])
softmax = []
for i in range(10):
byte = b''
byte += convert_to_bytes(bytearr[i * 4])
byte += convert_to_bytes(bytearr[i * 4 + 1])
byte += convert_to_bytes(bytearr[i * 4 + 2])
byte += convert_to_bytes(bytearr[i * 4 + 3])
softmax.append(struct.unpack('f', byte))
pred = softmax.index(max(softmax))
answer = int(sys.argv[2].strip())
exit(pred != answer)
#!/usr/bin/env python
##
# SPDX-License-Identifier: LGPL-2.1-only
#
# Copyright (C) 2019 Samsung Electronics
#
# @file checkLabel.py
# @brief Check the result label of pytorch model
# @author Parichay Kapoor <*****@*****.**>
import sys
import os
import string
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
from test_utils import convert_to_bytes, read_file
# Verify that the output of test case verifies the filename of the input
onehot = read_file(sys.argv[1])
onehot = [convert_to_bytes(x) for x in onehot]
idx = onehot.index(max(onehot))
label = str(idx)
answer = sys.argv[2].split('/')[-1].split('.')[0].strip()
exit(label != answer)
file.write(s[sink0_1])
file.write(s[sink1_0])
file.write(s[sink1_1])
if target == -1 or target == 10:
buf = bmp.gen_BMP_random('RGB', 100, 100, 'testcase')[0]
bmp.write('testcase.golden', buf)
bmp.gen_BMP_stream('testsequence', 'testcase_stream.golden', 1)
if target == -1 or target == 11:
buf = bmp.gen_BMP_random('RGB', 100, 100, 'testcase')[0]
bmp.write('testcase_0_0.golden', buf)
s = b''
for y in range(0, 100):
for x in range(0, 100):
s += convert_to_bytes(buf[y * 100 + x])
bmp.write('testcase_1_0.golden', s)
s = b''
for i in range(1, 3):
for y in range(0, 100):
for x in range(0, 100):
s += convert_to_bytes(buf[y * 100 + x + i * 100 * 100])
bmp.write('testcase_1_1.golden', s)
for i in range(0, 3):
s = b''
for y in range(0, 100):
for x in range(0, 100):
s += convert_to_bytes(buf[y * 100 + x + i * 100 * 100])
bmp.write('testcase_2_' + str(i) + '.golden', s)