def test_repeat_elements(self):
reps = 3
for ndims in [1, 2, 3]:
shape = np.arange(2, 2 + ndims)
arr = np.arange(np.prod(shape)).reshape(shape)
arr_th = KTH.variable(arr)
arr_tf = KTF.variable(arr)
for rep_axis in range(ndims):
np_rep = np.repeat(arr, reps, axis=rep_axis)
th_z = KTH.repeat_elements(arr_th, reps, axis=rep_axis)
th_rep = KTH.eval(th_z)
tf_rep = KTF.eval(
KTF.repeat_elements(arr_tf, reps, axis=rep_axis))
assert th_rep.shape == np_rep.shape
assert tf_rep.shape == np_rep.shape
assert_allclose(np_rep, th_rep, atol=1e-05)
assert_allclose(np_rep, tf_rep, atol=1e-05)
if hasattr(th_z, '_keras_shape'):
assert th_z._keras_shape == th_rep.shape
# test theano shape inference when
# input shape has None entries
if K.backend() == 'theano':
shape = list(shape)
shape[rep_axis] = None
x = K.placeholder(shape=shape)
y = K.repeat_elements(x, reps, axis=rep_axis)
assert y._keras_shape == tuple(shape)
def test_repeat_elements(self):
reps = 3
for ndims in [1, 2, 3]:
shape = np.arange(2, 2 + ndims)
arr = np.arange(np.prod(shape)).reshape(shape)
arr_th = KTH.variable(arr)
arr_tf = KTF.variable(arr)
for rep_axis in range(ndims):
np_rep = np.repeat(arr, reps, axis=rep_axis)
th_z = KTH.repeat_elements(arr_th, reps, axis=rep_axis)
th_rep = KTH.eval(th_z)
tf_rep = KTF.eval(
KTF.repeat_elements(arr_tf, reps, axis=rep_axis))
assert th_rep.shape == np_rep.shape
assert tf_rep.shape == np_rep.shape
assert_allclose(np_rep, th_rep, atol=1e-05)
assert_allclose(np_rep, tf_rep, atol=1e-05)
if hasattr(th_z, '_keras_shape'):
assert th_z._keras_shape == th_rep.shape
# test theano shape inference when
# input shape has None entries
if K.backend() == 'theano':
shape = list(shape)
shape[rep_axis] = None
x = K.placeholder(shape=shape)
y = K.repeat_elements(x, reps, axis=rep_axis)
assert y._keras_shape == tuple(shape)
def test_repeat_elements(self):
reps = 3
for ndims in [1, 2, 3]:
shape = np.arange(2, 2 + ndims)
arr = np.arange(np.prod(shape)).reshape(shape)
arr_th = KTH.variable(arr)
arr_tf = KTF.variable(arr)
for rep_axis in range(ndims):
np_rep = np.repeat(arr, reps, axis=rep_axis)
th_rep = KTH.eval(KTH.repeat_elements(arr_th, reps, axis=rep_axis))
tf_rep = KTF.eval(KTF.repeat_elements(arr_tf, reps, axis=rep_axis))
assert th_rep.shape == np_rep.shape
assert tf_rep.shape == np_rep.shape
assert_allclose(np_rep, th_rep, atol=1e-05)
assert_allclose(np_rep, tf_rep, atol=1e-05)
def test_repeat_elements(self):
reps = 3
for ndims in [1, 2, 3]:
shape = np.arange(2, 2 + ndims)
arr = np.arange(np.prod(shape)).reshape(shape)
arr_th = KTH.variable(arr)
arr_tf = KTF.variable(arr)
for rep_axis in range(ndims):
np_rep = np.repeat(arr, reps, axis=rep_axis)
th_rep = KTH.eval(
KTH.repeat_elements(arr_th, reps, axis=rep_axis))
tf_rep = KTF.eval(
KTF.repeat_elements(arr_tf, reps, axis=rep_axis))
assert th_rep.shape == np_rep.shape
assert tf_rep.shape == np_rep.shape
assert_allclose(np_rep, th_rep, atol=1e-05)
assert_allclose(np_rep, tf_rep, atol=1e-05)
