HomeSort by relevance Sort by last modified time
    Searched refs:v0_val (Results 1 - 4 of 4) sorted by null

  /external/tensorflow/tensorflow/python/training/
proximal_adagrad_test.py 51 v0_val, v1_val = sess.run([var0, var1])
52 self.assertAllClose([0.0, 0.0], v0_val)
59 v0_val, v1_val = sess.run([var0, var1])
60 self.assertAllClose(np.array([-2.60260963, -4.29698515]), v0_val)
88 v0_val, v1_val = sess.run([var0, var1])
89 self.assertAllClose([1.0, 2.0], v0_val)
95 v0_val, v1_val = sess.run([var0, var1])
96 self.assertAllClose(np.array([-1.60261, -2.296985]), v0_val)
131 v0_val, v1_val = sess.run([var0, var1])
132 self.assertAllClose([1.0, 2.0], v0_val)
    [all...]
adagrad_da_test.py 57 v0_val, v1_val = sess.run([var0, var1])
58 self.assertAllClose([0.0, 0.0], v0_val)
64 v0_val, v1_val = sess.run([var0, var1])
72 np.array([-0.904534, -1.603567]), v0_val)
121 v0_val, v1_val = sess.run([var0, var1])
122 self.assertAllCloseAccordingToType([1.0, 2.0], v0_val)
128 v0_val, v1_val = sess.run([var0, var1])
130 np.array([-0.904534, -1.603567]), v0_val)
153 v0_val, v1_val = sess.run([var0, var1])
154 self.assertAllCloseAccordingToType([1.0, 2.0], v0_val)
    [all...]
ftrl_test.py 57 v0_val, v1_val = sess.run([var0, var1])
58 self.assertAllClose([0.0, 0.0], v0_val)
65 v0_val, v1_val = sess.run([var0, var1])
67 np.array([-2.60260963, -4.29698515]), v0_val)
93 v0_val, v1_val = sess.run([var0, var1])
94 self.assertAllCloseAccordingToType([1.0, 2.0], v0_val)
100 v0_val, v1_val = sess.run([var0, var1])
102 np.array([-2.55607247, -3.98729396]), v0_val)
139 v0_val, v1_val = sess.run([var0, var1])
140 self.assertAllCloseAccordingToType([1.0, 2.0], v0_val)
    [all...]
proximal_gradient_descent_test.py 53 v0_val, v1_val = sess.run([var0, var1])
54 self.assertAllClose([0.0, 0.0], v0_val)
61 v0_val, v1_val = sess.run([var0, var1])
62 self.assertAllClose(np.array([-0.9, -1.8]), v0_val)
83 v0_val, v1_val = sess.run([var0, var1])
84 self.assertAllClose([1.0, 2.0], v0_val)
91 v0_val, v1_val = sess.run([var0, var1])
92 self.assertAllClose(np.array([0.1, 0.2]), v0_val)
125 v0_val, v1_val = sess.run([var0, var1])
126 self.assertAllClose([1.0, 2.0], v0_val)
    [all...]

Completed in 188 milliseconds