Python reduce_op_test Examples

Example #1

File: sum.py Project: xiaojiqing/Rosetta

#!/usr/bin/python

from internal.test_cases import reduce_op_test
import latticex.rosetta as rtt
import tensorflow as tf

reduce_op_test(tf.reduce_sum, "tf.reduce_sum axis=None", axis=None)
reduce_op_test(rtt.SecureReduceSum, "rtt.SecureReduceSum axis=None", axis=None)

reduce_op_test(tf.reduce_sum, "tf.reduce_sum axis=0", axis=0)
reduce_op_test(rtt.SecureReduceSum, "rtt.SecureReduceSum axis=0", axis=0)

reduce_op_test(tf.reduce_sum, "tf.reduce_sum axis=1", axis=1)
reduce_op_test(rtt.SecureReduceSum, "rtt.SecureReduceSum axis=1", axis=1)

Example #2

#!/usr/bin/python

from internal.test_cases import reduce_op_test
import latticex.rosetta as rtt
import tensorflow as tf

reduce_op_test(tf.reduce_min, "tf.reduce_min axis=None", axis=None)
reduce_op_test(rtt.SecureMin, "rtt.SecureMin axis=None", axis=None)

reduce_op_test(tf.reduce_min, "tf.reduce_min axis=0", axis=0)
reduce_op_test(rtt.SecureMin, "rtt.SecureMin axis=0", axis=0)

reduce_op_test(tf.reduce_min, "tf.reduce_min axis=1", axis=1)
reduce_op_test(rtt.SecureMin, "rtt.SecureMin axis=1", axis=1)

Example #3

#!/usr/bin/python
from internal.test_cases import reduce_op_test
import numpy as np
import tensorflow as tf
MIN_MAX_EXPECT = np.array([])

AXIS_NONE = reduce_op_test(tf.reduce_max, "tf.reduce_max axis=None", axis=None)
MIN_MAX_EXPECT = np.append(MIN_MAX_EXPECT, AXIS_NONE.flatten())
AXIS_ZERO = reduce_op_test(tf.reduce_max, "tf.reduce_max axis=0", axis=0)
MIN_MAX_EXPECT = np.append(MIN_MAX_EXPECT, AXIS_ZERO.flatten())
AXIS_ONE = reduce_op_test(tf.reduce_max, "tf.reduce_max axis=1", axis=1)
MIN_MAX_EXPECT = np.append(MIN_MAX_EXPECT, AXIS_ONE.flatten())

AXIS_NONE = reduce_op_test(tf.reduce_min, "tf.reduce_min axis=None", axis=None)
MIN_MAX_EXPECT = np.append(MIN_MAX_EXPECT, AXIS_NONE.flatten())
AXIS_ZERO = reduce_op_test(tf.reduce_min, "tf.reduce_min axis=0", axis=0)
MIN_MAX_EXPECT = np.append(MIN_MAX_EXPECT, AXIS_ZERO.flatten())
AXIS_ONE = reduce_op_test(tf.reduce_min, "tf.reduce_min axis=1", axis=1)
MIN_MAX_EXPECT = np.append(MIN_MAX_EXPECT, AXIS_ONE.flatten())


import latticex.rosetta as rtt
#rtt.activate("SecureNN")
#rtt.py_protocol_handler.set_loglevel(0)
rtt.activate("Helix")
MPC_RES = np.array([])
AXIS_NONE = reduce_op_test(rtt.SecureMax, "rtt.SecureMax axis=None", axis=None)
MPC_RES = np.append(MPC_RES, AXIS_NONE.flatten())
AXIS_ZERO = reduce_op_test(rtt.SecureMax, "rtt.SecureMax axis=0", axis=0)
MPC_RES = np.append(MPC_RES, AXIS_ZERO.flatten())
AXIS_ONE = reduce_op_test(rtt.SecureMax, "rtt.SecureMax axis=1", axis=1)

Example #4

File: mean.py Project: junjiequ123/Rosetta

#!/usr/bin/python

from internal.test_cases import reduce_op_test
import latticex.rosetta as cb
import tensorflow as tf

reduce_op_test(tf.reduce_mean, "tf.reduce_mean axis=None", axis=None)
reduce_op_test(cb.SecureMean, "cb.SecureMean axis=None", axis=None)

reduce_op_test(tf.reduce_mean, "tf.reduce_mean axis=0", axis=0)
reduce_op_test(cb.SecureMean, "cb.SecureMean axis=0", axis=0)

reduce_op_test(tf.reduce_mean, "tf.reduce_mean axis=1", axis=1)
reduce_op_test(cb.SecureMean, "cb.SecureMean axis=1", axis=1)
cb.deactivate()

Example #5

#!/usr/bin/python

from internal.test_cases import reduce_op_test
import latticex.rosetta as cb
import tensorflow as tf

reduce_op_test(tf.reduce_sum, "tf.reduce_sum axis=None", axis=None)
reduce_op_test(cb.SecureSum, "cb.SecureSum axis=None", axis=None)

reduce_op_test(tf.reduce_sum, "tf.reduce_sum axis=0", axis=0)
reduce_op_test(cb.SecureSum, "cb.SecureSum axis=0", axis=0)

reduce_op_test(tf.reduce_sum, "tf.reduce_sum axis=1", axis=1)
reduce_op_test(cb.SecureSum, "cb.SecureSum axis=1", axis=1)
cb.deactivate()