def test_unary_op_array_err(ng_api_fn, numpy_fn, range_start, range_end):
np.random.seed(133391)
input_data = range_start + np.random.rand(2, 3, 4) * (range_end - range_start)
expected = numpy_fn(input_data)
result = run_op_numeric_data(input_data, ng_api_fn)
assert np.allclose(result, expected)
def test_logical_not(input_data):
expected = np.logical_not(input_data)
result = run_op_node([input_data], ng.logical_not)
assert np.allclose(result, expected)
result = run_op_numeric_data(input_data, ng.logical_not)
assert np.allclose(result, expected)
def test_unary_op_scalar(ng_api_fn, numpy_fn, input_data):
expected = numpy_fn(input_data)
result = run_op_node([input_data], ng_api_fn)
assert np.allclose(result, expected)
result = run_op_numeric_data(input_data, ng_api_fn)
assert np.allclose(result, expected)
def test_constant_from_integer_array(val_type, range_start, range_end):
np.random.seed(133391)
input_data = np.array(np.random.randint(range_start,
range_end,
size=(2, 2)),
dtype=val_type)
result = run_op_numeric_data(input_data, ng.constant, val_type)
assert np.allclose(result, input_data)
def test_unary_op_scalar(ng_api_fn, numpy_fn, input_data):
expected = numpy_fn(input_data)
result = run_op_node([input_data], ng_api_fn)
assert np.allclose(result, expected)
result = run_op_numeric_data(input_data, ng_api_fn)
assert np.allclose(result, expected)
def test_logical_not(input_data):
expected = np.logical_not(input_data)
result = run_op_node([input_data], ng.logical_not)[0]
assert np.array_equal(result, expected)
result = run_op_numeric_data(input_data, ng.logical_not)[0]
assert np.array_equal(result, expected)
def test_unary_op_array_err(ng_api_fn, numpy_fn, range_start, range_end):
np.random.seed(133391)
input_data = range_start + np.random.rand(2, 3,
4) * (range_end - range_start)
expected = numpy_fn(input_data)
result = run_op_numeric_data(input_data, ng_api_fn)
assert np.allclose(result, expected)
def test_erf():
input_tensor = np.array([-1.0, 0.0, 1.0, 2.5, 3.14, 4.0], dtype=np.float32)
expected = [-0.842701, 0.0, 0.842701, 0.999593, 0.999991, 1.0]
result = run_op_node([input_tensor], ng.erf)
assert np.allclose(result, expected)
result = run_op_numeric_data(input_tensor, ng.erf)
assert np.allclose(result, expected)
def test_unary_op_array(ng_api_fn, numpy_fn, range_start, range_end):
np.random.seed(133391)
input_data = range_start + np.random.rand(2, 3, 4) * (range_end - range_start)
expected = numpy_fn(input_data)
result = run_op_node([input_data], ng_api_fn)[0]
np.testing.assert_allclose(result, expected, rtol=0.001)
result = run_op_numeric_data(input_data, ng_api_fn)[0]
np.testing.assert_allclose(result, expected, rtol=0.001)
def test_gather():
input_data = np.array([1.0, 1.1, 1.2, 2.0, 2.1, 2.2, 3.0, 3.1, 3.2], np.float32).reshape((3, 3))
input_indices = np.array([0, 2], np.int64).reshape(1, 2)
input_axes = np.array([1], np.int64)
expected = np.array([1.0, 1.2, 2.0, 2.2, 3.0, 3.2], dtype=np.float32).reshape((3, 1, 2))
result = run_op_node([input_data, input_indices, input_axes], ng.gather)
assert np.allclose(result, expected)
result = run_op_numeric_data(input_data, ng.gather, input_indices, input_axes)
assert np.allclose(result, expected)
def test_constant_from_float_array(val_type):
np.random.seed(133391)
input_data = np.array(-1 + np.random.rand(2, 3, 4) * 2, dtype=val_type)
result = run_op_numeric_data(input_data, ng.constant, val_type)
assert np.allclose(result, input_data)
def test_constant_from_scalar(val_type, value):
expected = np.array(value, dtype=val_type)
result = run_op_numeric_data(value, ng.constant, val_type)
assert np.allclose(result, expected)
def test_constant_from_integer_array(val_type, range_start, range_end):
np.random.seed(133391)
input_data = np.array(np.random.randint(range_start, range_end, size=(2, 2)), dtype=val_type)
result = run_op_numeric_data(input_data, ng.constant, val_type)
assert np.allclose(result, input_data)
def test_constant_from_float_array(val_type):
np.random.seed(133391)
input_data = np.array(-1 + np.random.rand(2, 3, 4) * 2, dtype=val_type)
result = run_op_numeric_data(input_data, ng.constant, val_type)
assert np.allclose(result, input_data)
def test_constant_from_scalar(val_type, value):
expected = np.array(value, dtype=val_type)
result = run_op_numeric_data(value, ng.constant, val_type)
assert np.allclose(result, expected)