def test_tanh_cc2tensor():
tntest = Tanh()
from neon.backends.cc2 import GPU, GPUTensor
inputs = np.array([0, 1, -2]).reshape((3, 1))
outputs = GPUTensor([true_tanh(0), true_tanh(1), true_tanh(-2)])
be = GPU(rng_seed=0)
temp = be.zeros((3, 1))
tntest.apply_function(be, GPUTensor(inputs), temp)
assert_tensor_near_equal(outputs, temp)
def test_tanh_cc2tensor():
tntest = Tanh()
from neon.backends.cc2 import GPU, GPUTensor
inputs = np.array([0, 1, -2]).reshape((3, 1))
outputs = GPUTensor([true_tanh(0), true_tanh(1), true_tanh(-2)])
be = GPU(rng_seed=0)
temp = be.zeros((3, 1))
tntest.apply_function(be, GPUTensor(inputs), temp)
assert_tensor_near_equal(outputs, temp)
def test_tanh_cputensor():
tntest = Tanh()
be = CPU(rng_seed=0)
CPUTensor([0, 1, -2])
inputs = np.array([0, 1, -2])
temp = be.zeros(inputs.shape)
outputs = np.array([true_tanh(0), true_tanh(1), true_tanh(-2)])
tntest.apply_function(be, CPUTensor(inputs), temp)
assert_tensor_near_equal(CPUTensor(outputs), temp)
def test_tanh_cputensor():
tntest = Tanh()
be = CPU(rng_seed=0)
CPUTensor([0, 1, -2])
inputs = np.array([0, 1, -2])
temp = be.zeros(inputs.shape)
outputs = np.array([true_tanh(0), true_tanh(1), true_tanh(-2)])
tntest.apply_function(be, CPUTensor(inputs), temp)
assert_tensor_near_equal(CPUTensor(outputs), temp)
