I am trying to run this :

import time import tensorflow.compat.v1 as tf import scipy.io as sio

flags = tf.app.flags FLAGS = flags.FLAGS

flags.DEFINE_integer('num_evecs', 120, 'number of eigenvectors used for representation. The first 500 are precomputed and stored in input') flags.DEFINE_string('test_shapes_dir', 'Data/faust_models/test/', '') flags.DEFINE_string('log_dir', 'Results/train_inter_k_flag', 'directory to save models and results')

def get_test_pair(part_fname, model_fname): input_data = {} # load model, part and labels part_file = '%s/%s' % (FLAGS.test_shapes_dir, part_fname) model_file = '%s/%s' % (FLAGS.test_shapes_dir, model_fname)

# this loads the part but with a model name so next line re-names input_data.update(sio.loadmat(part_file)) input_data['part_evecs'] = input_data['model_evecs'] del input_data['model_evecs'] input_data['part_evecs_trans'] = input_data['model_evecs_trans'] del input_data['model_evecs_trans'] input_data['part_shot'] = input_data['model_shot'] del input_data['model_shot']

input_data.update(sio.loadmat(model_file))

return input_data

def get_test_list(): test_pairs = [] f = open('Data/test_pairs.txt') for line in f: test_pairs.append(line.split()) f.close()

return test_pairs

def run_test(): # start session sess = tf.Session()

print('restoring graph...') saver = tf.train.import_meta_graph( '%s/model.ckpt-1270.meta' % FLAGS.log_dir) saver.restore(sess, tf.train.latest_checkpoint('%s' % FLAGS.log_dir)) graph = tf.get_default_graph()

# retrieve placeholder variables part_shot = graph.get_tensor_by_name('part_shot:0') model_shot = graph.get_tensor_by_name('model_shot:0') dist_map = graph.get_tensor_by_name('dist_map:0') part_evecs = graph.get_tensor_by_name('part_evecs:0') part_evecs_trans = graph.get_tensor_by_name('part_evecs_trans:0') model_evecs = graph.get_tensor_by_name('model_evecs:0') model_evecs_trans = graph.get_tensor_by_name('model_evecs_trans:0') phase = graph.get_tensor_by_name('phase:0')

# retrieve variables to run Ct_est = graph.get_tensor_by_name('MatrixSolveLs:0') softCorr = graph.get_tensor_by_name( 'pointwise_corr_loss/soft_correspondences:0')

# read list of pairs to test on test_list = get_test_list()

for test_pair in test_list: input_data = get_test_pair(test_pair[0], test_pair[1])

feed_dict = {phase: True, part_shot: [input_data['part_shot']], model_shot: [input_data['model_shot']], dist_map: [[[None]]], part_evecs: [input_data['part_evecs'][:, 0:FLAGS.num_evecs]], part_evecs_trans: [input_data['part_evecs_trans'][0:FLAGS.num_evecs, :]], model_evecs: [input_data['model_evecs'][:, 0:FLAGS.num_evecs]], model_evecs_trans: [input_data['model_evecs_trans'][0:FLAGS.num_evecs, :]], }

t = time.time() Ct_est_, softCorr_ = sess.run([Ct_est, softCorr], feed_dict=feed_dict) print('Computed correspondences for pair: %s, %s. Took %f seconds', test_pair[0], test_pair[1], time.time() - t)

params_to_save = {} params_to_save['C_est'] = Ct_est_.transpose([0, 2, 1]) params_to_save['softCorr'] = softCorr_

sio.savemat('Results/' + 'test_list.mat', params_to_save)

def main(_): run_test()

if __name__ == '__main__': tf.app.run()

I get this error in the terminal:

(mypython) (base) MacBook-Pro-2:DeepFunctionalMaps-master Familia$ python test_FMnet.py

Traceback (most recent call last):

File "test_FMnet.py", line 11, in

flags.DEFINE_string('log_dir', 'Results/train_inter_k_flag', 'directory to save models and results')

File "/Users/Familia/Desktop/DeepFunctionalMaps-master/mypython/lib/python3.7/site-packages/tensorflow/python/platform/flags.py", line 59, in wrapper

return original_function(*args, **kwargs)

File "/Users/Familia/Desktop/DeepFunctionalMaps-master/mypython/lib/python3.7/site-packages/absl/flags/_defines.py", line 270, in DEFINE_string

return DEFINE(parser, name, default, help, flag_values, serializer, **args)

File "/Users/Familia/Desktop/DeepFunctionalMaps-master/mypython/lib/python3.7/site-packages/absl/flags/_defines.py", line 103, in DEFINE

module_name)

File "/Users/Familia/Desktop/DeepFunctionalMaps-master/mypython/lib/python3.7/site-packages/absl/flags/_defines.py", line 128, in DEFINE_flag

fv[flag.name] = flag

File "/Users/Familia/Desktop/DeepFunctionalMaps-master/mypython/lib/python3.7/site-packages/absl/flags/_flagvalues.py", line 438, in __setitem__

raise _exceptions.DuplicateFlagError.from_flag(name, self)

absl.flags._exceptions.DuplicateFlagError: The flag 'log_dir' is defined twice. First from absl.logging, Second from test_FMnet.py. Description from first occurrence: directory to write logfiles into

Please I am new to tensor flow, I am trying to open an old project. Thanks in advance.