def test_createdescriptorforconcatenation_wrong_shape_for_axis():
input_shape_vector = [ann.TensorShape((1, 2)), ann.TensorShape((3, 4)), ann.TensorShape((5, 6))]
with pytest.raises(RuntimeError) as err:
desc = ann.CreateDescriptorForConcatenation(input_shape_vector, 0)
assert "All inputs to concatenation must be the same size along all dimensions except the concatenation dimension" in str(
err.value)
def test_createdescriptorforconcatenation_rubbish_assignment_shape_vector(
input_shape_vector):
with pytest.raises(TypeError) as err:
desc = ann.CreateDescriptorForConcatenation(input_shape_vector, 0)
assert "in method 'CreateDescriptorForConcatenation', argument 1 of type 'std::vector< armnn::TensorShape,std::allocator< armnn::TensorShape > >'" in str(
err.value)
def test_createdescriptorforconcatenation_ctor():
input_shape_vector = [ann.TensorShape((2, 1)), ann.TensorShape((3, 1)), ann.TensorShape((4, 1))]
desc = ann.CreateDescriptorForConcatenation(input_shape_vector, 0)
assert 3 == desc.GetNumViews()
assert 0 == desc.GetConcatAxis()
assert 2 == desc.GetNumDimensions()
c = desc.GetViewOrigin(1)
d = desc.GetViewOrigin(0)
