def test_1D_convolution_without_reduction_dim():
c = Convolution1D(3, init=np.array([4, 2, 1]), pad=True, reduction_rank=0, bias=False)
c.update_signature(5)
data = [np.array([[2, 6, 4, 8, 6]])] # like a audio sequence, in a static dimension
out = c(data)
exp = [[10, 24, 40, 38, 44]]
np.testing.assert_array_equal(out, exp, err_msg='Error in 1D convolution without reduction dimension')
# Failing call
with pytest.raises(ValueError):
Convolution1D((2,3))
def test_layers_convolution_1d():
inC, inW = 1, 3
y = C.input_variable((inC, inW))
dat = np.ones([1, inC, inW], dtype = np.float32)
model = Convolution1D((3, ),
num_filters=1,
activation=None,
pad=False,
strides=1, name='foo')
# shape should be
model_shape = model(y).foo.shape
np.testing.assert_array_equal(model_shape, (1, 1), \
"Error in convolution1D with stride = 1 and padding")
res = model(y).eval({y: dat})
expected_res = np.sum(model.foo.W.value)
np.testing.assert_array_almost_equal(res[0][0][0], expected_res, decimal=5, \
err_msg="Error in convolution1D computation with stride = 1 and zeropad = True")