def test_value_manipulation(self):
val = np.random.random((4, 2))
xth = KTH.variable(val)
xtf = KTF.variable(val)
# get_value
valth = KTH.get_value(xth)
valtf = KTF.get_value(xtf)
assert valtf.shape == valth.shape
assert_allclose(valth, valtf, atol=1e-05)
# set_value
val = np.random.random((4, 2))
KTH.set_value(xth, val)
KTF.set_value(xtf, val)
valth = KTH.get_value(xth)
valtf = KTF.get_value(xtf)
assert valtf.shape == valth.shape
assert_allclose(valth, valtf, atol=1e-05)
# count_params
assert KTH.count_params(xth) == KTF.count_params(xtf)
# print_tensor
check_single_tensor_operation('print_tensor', ())
check_single_tensor_operation('print_tensor', (2,))
check_single_tensor_operation('print_tensor', (4, 3))
check_single_tensor_operation('print_tensor', (1, 2, 3))
val = np.random.random((3, 2))
xth = KTH.variable(val)
xtf = KTF.variable(val)
assert KTH.get_variable_shape(xth) == KTF.get_variable_shape(xtf)
def test_value_manipulation(self):
val = np.random.random((4, 2))
xth = KTH.variable(val)
xtf = KTF.variable(val)
# get_value
valth = KTH.get_value(xth)
valtf = KTF.get_value(xtf)
assert valtf.shape == valth.shape
assert_allclose(valth, valtf, atol=1e-05)
# set_value
val = np.random.random((4, 2))
KTH.set_value(xth, val)
KTF.set_value(xtf, val)
valth = KTH.get_value(xth)
valtf = KTF.get_value(xtf)
assert valtf.shape == valth.shape
assert_allclose(valth, valtf, atol=1e-05)
# count_params
assert KTH.count_params(xth) == KTF.count_params(xtf)
# print_tensor
check_single_tensor_operation('print_tensor', ())
check_single_tensor_operation('print_tensor', (2, ))
check_single_tensor_operation('print_tensor', (4, 3))
check_single_tensor_operation('print_tensor', (1, 2, 3))
val = np.random.random((3, 2))
xth = KTH.variable(val)
xtf = KTF.variable(val)
assert KTH.get_variable_shape(xth) == KTF.get_variable_shape(xtf)
def test_function(self):
val = np.random.random((4, 2))
input_val = np.random.random((4, 2))
xth = KTH.variable(val)
xtf = KTF.variable(val)
yth = KTH.placeholder(ndim=2)
ytf = KTF.placeholder(ndim=2)
exp_th = KTH.square(xth) + yth
exp_tf = KTF.square(xtf) + ytf
update_th = xth * 2
update_tf = xtf * 2
fth = KTH.function([yth], [exp_th], updates=[(xth, update_th)])
ftf = KTF.function([ytf], [exp_tf], updates=[(xtf, update_tf)])
function_outputs_th = fth([input_val])[0]
function_outputs_tf = ftf([input_val])[0]
assert function_outputs_th.shape == function_outputs_tf.shape
assert_allclose(function_outputs_th, function_outputs_tf, atol=1e-05)
new_val_th = KTH.get_value(xth)
new_val_tf = KTF.get_value(xtf)
assert new_val_th.shape == new_val_tf.shape
assert_allclose(new_val_th, new_val_tf, atol=1e-05)
def test_function(self):
val = np.random.random((4, 2))
input_val = np.random.random((4, 2))
xth = KTH.variable(val)
xtf = KTF.variable(val)
yth = KTH.placeholder(ndim=2)
ytf = KTF.placeholder(ndim=2)
exp_th = KTH.square(xth) + yth
exp_tf = KTF.square(xtf) + ytf
update_th = xth * 2
update_tf = xtf * 2
fth = KTH.function([yth], [exp_th], updates=[(xth, update_th)])
ftf = KTF.function([ytf], [exp_tf], updates=[(xtf, update_tf)])
function_outputs_th = fth([input_val])[0]
function_outputs_tf = ftf([input_val])[0]
assert function_outputs_th.shape == function_outputs_tf.shape
assert_allclose(function_outputs_th, function_outputs_tf, atol=1e-05)
new_val_th = KTH.get_value(xth)
new_val_tf = KTF.get_value(xtf)
assert new_val_th.shape == new_val_tf.shape
assert_allclose(new_val_th, new_val_tf, atol=1e-05)
def test_value_manipulation(self):
val = np.random.random((4, 2))
xth = KTH.variable(val)
xtf = KTF.variable(val)
# get_value
valth = KTH.get_value(xth)
valtf = KTF.get_value(xtf)
assert valtf.shape == valth.shape
assert_allclose(valth, valtf, atol=1e-05)
# set_value
val = np.random.random((4, 2))
KTH.set_value(xth, val)
KTF.set_value(xtf, val)
valth = KTH.get_value(xth)
valtf = KTF.get_value(xtf)
assert valtf.shape == valth.shape
assert_allclose(valth, valtf, atol=1e-05)
# count_params
assert KTH.count_params(xth) == KTF.count_params(xtf)
def test_value_manipulation(self):
val = np.random.random((4, 2))
xth = KTH.variable(val)
xtf = KTF.variable(val)
# get_value
valth = KTH.get_value(xth)
valtf = KTF.get_value(xtf)
assert valtf.shape == valth.shape
assert_allclose(valth, valtf, atol=1e-05)
# set_value
val = np.random.random((4, 2))
KTH.set_value(xth, val)
KTF.set_value(xtf, val)
valth = KTH.get_value(xth)
valtf = KTF.get_value(xtf)
assert valtf.shape == valth.shape
assert_allclose(valth, valtf, atol=1e-05)
# count_params
assert KTH.count_params(xth) == KTF.count_params(xtf)
