def test_custom_pad():
actual = aggregated_pad(pad_type="custom",
kernel_shape=(1, 2, 3),
custom_pad=(7, 8, 9, 10, 11, 12))
expected = [7 + 8, 9 + 10, 11 + 12]
np.testing.assert_equal(actual, expected)
def test_valid_pad_2d():
actual = aggregated_pad(
pad_type="valid",
kernel_shape=(1, 2),
)
expected = [0, 0]
np.testing.assert_equal(actual, expected)
def test_same_padding_stride_larger_than_kernel_but_less_than_input():
actual = aggregated_pad(
pad_type="same",
input_shape=(5, 5),
kernel_shape=(3, 3),
strides=(4, 4),
)
expected = [2, 2]
np.testing.assert_equal(actual, expected)
def test_same_padding_stride_same_as_input():
actual = aggregated_pad(
pad_type="same",
input_shape=(5, 5),
kernel_shape=(3, 3),
strides=(5, 5),
)
expected = [0, 0]
np.testing.assert_equal(actual, expected)
def test_same_padding_no_dilation():
actual = aggregated_pad(
pad_type="same",
input_shape=(5, 6, 7),
kernel_shape=(2, 2, 2),
strides=(1, 2, 2),
)
expected = [1, 0, 1]
np.testing.assert_equal(actual, expected)
def test_same_padding_dilation_with_dilation():
actual = aggregated_pad(
pad_type="same",
input_shape=(19, 20, 21),
kernel_shape=(2, 2, 2),
strides=(1, 2, 2),
dilations=(5, 6, 7),
)
expected = [5, 5, 7]
np.testing.assert_equal(actual, expected)
def test_valid_pad_1d(self):
actual = aggregated_pad(pad_type="valid", kernel_shape=[4])
expected = [0]
np.testing.assert_equal(actual, expected)
