def test_split_1d():
# 1D
data = np.array([1., 2., 3., 4., 5., 6.]).astype(np.float32)
node = onnx.helper.make_node('Split', inputs=['input'], outputs=['z', 'w'], axis=0)
expected_outputs = [np.array([1., 2., 3.]).astype(np.float32),
np.array([4., 5., 6.]).astype(np.float32)]
ng_results = run_node(node, [data])
assert all_arrays_equal(ng_results, expected_outputs)
node = onnx.helper.make_node('Split', inputs=['input'], outputs=['y', 'z', 'w'], axis=0,
split=[2, 3, 1])
expected_outputs = [np.array([1., 2.]).astype(np.float32),
np.array([3., 4., 5.]).astype(np.float32),
np.array([6.]).astype(np.float32)]
ng_results = run_node(node, [data])
assert all_arrays_equal(ng_results, expected_outputs)
# Default values
data = np.array([1., 2., 3., 4., 5., 6.]).astype(np.float32)
node = onnx.helper.make_node('Split', inputs=['input'], outputs=['y', 'z', 'w'])
expected_outputs = [np.array([1., 2.]).astype(np.float32),
np.array([3., 4.]).astype(np.float32),
np.array([5., 6.]).astype(np.float32)]
ng_results = run_node(node, [data])
assert all_arrays_equal(ng_results, expected_outputs)
node = onnx.helper.make_node('Split', inputs=['input'], outputs=['y', 'z'], split=[2, 4])
expected_outputs = [np.array([1., 2.]).astype(np.float32),
np.array([3., 4., 5., 6.]).astype(np.float32)]
ng_results = run_node(node, [data])
assert all_arrays_equal(ng_results, expected_outputs)
def test_split_2d(node, expected_output):
data = np.arange(8).reshape(2, 4)
ng_results = run_node(node, [data])
assert all_arrays_equal(ng_results, expected_output)
def test_split(node, expected_output):
data = np.arange(8).reshape(2, 4)
ng_results = convert_and_calculate(node, [data], expected_output)
assert all_arrays_equal(ng_results, expected_output)