def test_neighborhood_order_2_stride_2():
arr_in = np.zeros((20, 30, 4), dtype=DTYPE)
neighborhood = 5, 5
arr_out = np.zeros((8, 13, 4), dtype=DTYPE)
np.random.seed(42)
arr_in[:] = np.random.randn(np.prod(arr_in.shape)).reshape(arr_in.shape)
order = 2
stride = 2
idx = [[4, 3], [10, 6]]
gt = np.array([[4.81159449, 5.68032312,
5.07941389, 6.04614496],
[4.87372255, 4.47074938,
4.07878876, 4.43441534]],
dtype=DTYPE)
lpool3(arr_in, neighborhood, order=order, stride=stride, arr_out=arr_out)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
arr_out = lpool3(arr_in, neighborhood, order=order, stride=stride)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_default_lena():
arr_in = lena().astype(np.float32) / 1.
arr_in.shape = arr_in.shape[:2] + (1, )
idx = [[4, 2], [4, 2]]
neighborhood = 3, 3
gt = np.array([[1442.], [1455.]], dtype=DTYPE)
arr_out = lpool3(arr_in, neighborhood)
assert_equals(arr_out.ndim, arr_in.ndim)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_test_lena_npy_array():
arr_in = lena()[::32, ::32].astype(DTYPE)
arr_in.shape = arr_in.shape[:2] + (1, )
neighborhood = 3, 3
idx = [[4, 2], [4, 2]]
gt = np.array([[1280.99987793], [992.]], dtype=DTYPE)
arr_out = lpool3(arr_in, neighborhood)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_default_lena():
arr_in = lena().astype(np.float32) / 1.
arr_in.shape = arr_in.shape[:2] + (1,)
idx = [[4, 2], [4, 2]]
neighborhood = 3, 3
gt = np.array([[1442.], [1455.]],
dtype=DTYPE)
arr_out = lpool3(arr_in, neighborhood)
assert_equals(arr_out.ndim, arr_in.ndim)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_test_lena_npy_array():
arr_in = lena()[::32, ::32].astype(DTYPE)
arr_in.shape = arr_in.shape[:2] + (1,)
neighborhood = 3, 3
idx = [[4, 2], [4, 2]]
gt = np.array([[1280.99987793], [992.]],
dtype=DTYPE)
arr_out = lpool3(arr_in, neighborhood)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_default_lena_non_C_contiguous():
arr_in = lena() / 1.
arr_in.shape = arr_in.shape[:2] + (1, )
neighborhood = 3, 3
arr_in = np.asfortranarray(arr_in)
idx = [[4, 2], [4, 2]]
gt = np.array([[1442.], [1455.]], dtype=DTYPE)
arr_out = lpool3(arr_in, neighborhood)
assert_equals(arr_out.ndim, arr_in.ndim)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_default_lena_non_C_contiguous():
arr_in = lena() / 1.
arr_in.shape = arr_in.shape[:2] + (1,)
neighborhood = 3, 3
arr_in = np.asfortranarray(arr_in)
idx = [[4, 2], [4, 2]]
gt = np.array([[1442.], [1455.]],
dtype=DTYPE)
arr_out = lpool3(arr_in, neighborhood)
assert_equals(arr_out.ndim, arr_in.ndim)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_default_input_d_1():
arr_in = np.zeros((20, 30, 1), dtype=DTYPE)
neighborhood = 5, 5
arr_out = np.zeros((16, 26, 1), dtype=DTYPE)
np.random.seed(42)
arr_in[:] = np.random.randn(np.prod(arr_in.shape)).reshape(arr_in.shape)
idx = [[4, 8], [20, 12]]
gt = np.array([[-3.59586287], [9.16217232]], dtype=DTYPE)
lpool3(arr_in, neighborhood, arr_out=arr_out)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
arr_out = lpool3(arr_in, neighborhood)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_neighborhood_5():
arr_in = np.zeros((20, 30, 4), dtype=DTYPE)
neighborhood = 5, 5
arr_out = np.zeros((16, 26, 4), dtype=DTYPE)
np.random.seed(42)
arr_in[:] = np.random.randn(np.prod(arr_in.shape)).reshape(arr_in.shape)
idx = [[4, 8], [20, 12]]
gt = np.array([[7.93315649, -0.24066222, 0.64046526, -3.51567388],
[7.14803362, -2.99622989, 9.5001564, 11.99116325]],
dtype=DTYPE)
lpool3(arr_in, neighborhood, arr_out=arr_out)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
arr_out = lpool3(arr_in, neighborhood)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_default_input_d_1():
arr_in = np.zeros((20, 30, 1), dtype=DTYPE)
neighborhood = 5, 5
arr_out = np.zeros((16, 26, 1), dtype=DTYPE)
np.random.seed(42)
arr_in[:] = np.random.randn(np.prod(arr_in.shape)).reshape(arr_in.shape)
idx = [[4, 8], [20, 12]]
gt = np.array([[-3.59586287],
[9.16217232]],
dtype=DTYPE)
lpool3(arr_in, neighborhood, arr_out=arr_out)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
arr_out = lpool3(arr_in, neighborhood)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_neighborhood_5_order_2():
arr_in = np.zeros((20, 30, 4), dtype=DTYPE)
neighborhood = 5, 5
arr_out = np.zeros((16, 26, 4), dtype=DTYPE)
np.random.seed(42)
arr_in[:] = np.random.randn(np.prod(arr_in.shape)).reshape(arr_in.shape)
order = 2
idx = [[4, 8], [20, 12]]
gt = np.array([[5.22081137, 4.9204731, 3.75381684, 4.892416],
[5.60951042, 4.28514147, 4.77592659, 5.77252817]],
dtype=DTYPE)
lpool3(arr_in, neighborhood, order=order, arr_out=arr_out)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
arr_out = lpool3(arr_in, neighborhood, order=order)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_neighborhood_order_2_stride_2():
arr_in = np.zeros((20, 30, 4), dtype=DTYPE)
neighborhood = 5, 5
arr_out = np.zeros((8, 13, 4), dtype=DTYPE)
np.random.seed(42)
arr_in[:] = np.random.randn(np.prod(arr_in.shape)).reshape(arr_in.shape)
order = 2
stride = 2
idx = [[4, 3], [10, 6]]
gt = np.array([[4.81159449, 5.68032312, 5.07941389, 6.04614496],
[4.87372255, 4.47074938, 4.07878876, 4.43441534]],
dtype=DTYPE)
lpool3(arr_in, neighborhood, order=order, stride=stride, arr_out=arr_out)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
arr_out = lpool3(arr_in, neighborhood, order=order, stride=stride)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_neighborhood_5():
arr_in = np.zeros((20, 30, 4), dtype=DTYPE)
neighborhood = 5, 5
arr_out = np.zeros((16, 26, 4), dtype=DTYPE)
np.random.seed(42)
arr_in[:] = np.random.randn(np.prod(arr_in.shape)).reshape(arr_in.shape)
idx = [[4, 8], [20, 12]]
gt = np.array([[7.93315649, -0.24066222,
0.64046526, -3.51567388],
[7.14803362, -2.99622989,
9.5001564, 11.99116325]],
dtype=DTYPE)
lpool3(arr_in, neighborhood, arr_out=arr_out)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
arr_out = lpool3(arr_in, neighborhood)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
def test_neighborhood_5_order_2():
arr_in = np.zeros((20, 30, 4), dtype=DTYPE)
neighborhood = 5, 5
arr_out = np.zeros((16, 26, 4), dtype=DTYPE)
np.random.seed(42)
arr_in[:] = np.random.randn(np.prod(arr_in.shape)).reshape(arr_in.shape)
order = 2
idx = [[4, 8], [20, 12]]
gt = np.array([[5.22081137, 4.9204731,
3.75381684, 4.892416],
[5.60951042, 4.28514147,
4.77592659, 5.77252817]],
dtype=DTYPE)
lpool3(arr_in, neighborhood, order=order, arr_out=arr_out)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)
arr_out = lpool3(arr_in, neighborhood, order=order)
gv = arr_out[idx]
assert_allclose_round(gv, gt, rtol=RTOL, atol=ATOL)