def testSvd(self):
a = getTestMatrix()
with self.test_session():
tf_ans_u, tf_ans_s, tf_ans_v = tf.matrix_decomp_svd(a)
tf_ans_u = tf_ans_u.eval()
tf_ans_s = tf_ans_s.eval()
tf_ans_v = tf_ans_v.eval()
full_s = np.diag(tf_ans_s)
np_reconstr = np.dot(np.dot(tf_ans_u, full_s), np.transpose(tf_ans_v))
self.assertAllClose(a, np_reconstr, atol=1e-5, rtol=1e-5)
def testSvd(self):
a = getTestMatrix()
with self.test_session():
tf_ans_u, tf_ans_s, tf_ans_v = tf.matrix_decomp_svd(a)
tf_ans_u = tf_ans_u.eval()
tf_ans_s = tf_ans_s.eval()
tf_ans_v = tf_ans_v.eval()
full_s = np.diag(tf_ans_s)
np_reconstr = np.dot(np.dot(tf_ans_u, full_s), np.transpose(tf_ans_v))
self.assertAllClose(a, np_reconstr, atol=1e-5, rtol=1e-5)
def testSvdV(self):
a = getTestMatrix()
print("Test sdv V")
np_ans = numpyTestSvdV(a)
print("np_ans:")
print(np_ans)
with self.test_session():
_, _, tf_ans = tf.matrix_decomp_svd(a)
tf_ans = tf_ans.eval()
print("tf_ans")
print(tf_ans)
def testSvdV(self):
a = getTestMatrix()
print("Test sdv V")
np_ans = numpyTestSvdV(a)
print("np_ans:")
print(np_ans)
with self.test_session():
_, _, tf_ans = tf.matrix_decomp_svd(a)
tf_ans = tf_ans.eval()
print("tf_ans")
print(tf_ans)
def testSvdS(self):
a = getTestMatrix()
print("Test sdv S")
np_ans = numpyTestSvdS(a)
print("np_ans:")
print(np_ans)
with self.test_session():
_, tf_ans, _ = tf.matrix_decomp_svd(a)
tf_ans = tf_ans.eval()
print("tf_ans")
print(tf_ans)
self.assertAllClose(np_ans, tf_ans, atol=1e-5, rtol=1e-5)
def testSvdS(self):
a = getTestMatrix()
print("Test sdv S")
np_ans = numpyTestSvdS(a)
print("np_ans:")
print(np_ans)
with self.test_session():
_, tf_ans, _ = tf.matrix_decomp_svd(a)
tf_ans = tf_ans.eval()
print("tf_ans")
print(tf_ans)
self.assertAllClose(np_ans, tf_ans, atol=1e-5, rtol=1e-5)
