wehub-resource-sync
43 lines
1.2 KiB
Python
Executable File
43 lines
1.2 KiB
Python
Executable File
#!/usr/bin/python
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#-- coding:utf8 --
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import sys
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model_root_dir = sys.argv[1]
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total_num = 0
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import os
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def run_cmd(args):
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cmd = args[0]
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for i in range(1, len(args)):
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cmd += ' ' + args[i]
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stdout = os.popen(cmd).read()
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global total_num
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total_num += 1
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return stdout
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gWrong = []
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root_dir = os.path.join(model_root_dir, 'TestTf')
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print('root: ' + root_dir + '\n')
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for name in os.listdir(root_dir):
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if name == '.DS_Store':
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continue
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print(name)
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cmd = './MNNConvert -f TF --MNNModel convert_cache.mnn --useGeluApproximation=0 --saveExternalData --keepInputFormat=1 --bizCode Test'
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cmd += ' --modelFile ' + os.path.join(root_dir, name, "test.pb")
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cmd += ' --testdir ' + os.path.join(root_dir, name)
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message = run_cmd([cmd])
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if (message.find('TEST_SUCCESS') == -1):
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gWrong.append(name)
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print(message)
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print('Wrong: %d' %len(gWrong))
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for w in gWrong:
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print(w)
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print('TEST_NAME_TF: TFConvert测试\nTEST_CASE_AMOUNT_TF: {\"blocked\":0,\"failed\":%d,\"passed\":%d,\"skipped\":0}\n'%(len(gWrong), total_num - len(gWrong)))
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print('TEST_CASE={\"name\":\"Tensorflow转换测试\",\"failed\":%d,\"passed\":%d}\n'%(len(gWrong), total_num - len(gWrong)))
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if len(gWrong) > 0:
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exit(1)
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