def test_Layer_invertibility():
layer = mh.Layer(_pca_nodes([10, 17, 3], [10, 17, 3]))
x = numx_rand.random([100, 30]).astype('f')
layer.train(x)
y = layer.execute(x)
x_inverse = layer.inverse(y)
assert numx.all(numx.absolute(x - x_inverse) < 0.001)
def test_Layer_invertibility2():
# reduce the dimensions, so input_dim != output_dim
layer = mh.Layer(_pca_nodes([10, 17, 3], [8, 12, 3]))
x = numx_rand.random([100, 30]).astype('f')
layer.train(x)
y = layer.execute(x)
layer.inverse(y)
def test_Layer():
layer = mh.Layer(_pca_nodes([10, 17, 3], [5, 3, 1]))
x = numx_rand.random([100, 30]).astype('f')
layer.train(x)
y = layer.execute(x)
assert layer.dtype == numx.dtype('f')
assert y.dtype == layer.dtype
