def test_execute_3_channels_image(self):
grayscale_module = GrayscaleModule()
blob = create_blob('image', create_image_full([10, 20, 30]))
exe_blob = grayscale_module.execute([blob])[0]
# OUTPUT = 0.587 * G + 0.114 * B + 0.299 * R
np.testing.assert_equal(exe_blob.fetch('gray_image'),
create_image_full([22]))
def test_remove_with_existing_name(self):
tensor = np.random.rand(1, 2, 3)
blob = create_blob('existing', tensor)
np.testing.assert_equal(tensor, blob.remove('existing'))
# Check the tensor is removed
with pytest.raises(RuntimeError):
blob.remove('existing')
def test_copy(self):
tensor_i = np.array([1, 2, 3])
tensor_f = np.array([1.0, 2.0, 3.0])
tensor_b = np.array([True, False, False])
blob = create_blob()
blob.feed('tensor_f', tensor_f)
blob.feed('tensor_i', tensor_i)
blob.feed('tensor_b', tensor_b)
c_blob = blob.copy()
np.testing.assert_equal(blob.fetch('tensor_f'),
c_blob.fetch('tensor_f'))
np.testing.assert_equal(blob.fetch('tensor_i'),
c_blob.fetch('tensor_i'))
np.testing.assert_equal(blob.fetch('tensor_b'),
c_blob.fetch('tensor_b'))
def test_execute_non_3_channels_image(self):
for channels in [1, 2, 4]:
grayscale_module = GrayscaleModule()
blob = create_blob('image', create_image_rand(channels=channels))
with pytest.raises(RuntimeError):
grayscale_module.execute([blob])
def test_remove_with_non_existing_name(self):
blob = create_blob()
with pytest.raises(RuntimeError):
blob.remove('non_existing')
def test_fetch_with_existing_name(self):
tensor = np.random.rand(1, 2, 3)
blob = create_blob('existing', tensor)
np.testing.assert_equal(tensor, blob.fetch('existing'))
def test_remove_with_non_string_name(self):
blob = create_blob()
with pytest.raises(TypeError):
blob.remove(100)
def test_fetch_with_non_existing_name(self):
blob = create_blob()
with pytest.raises(RuntimeError):
blob.fetch('non_existing')
def test_fetch_with_non_string_name(self):
blob = create_blob()
with pytest.raises(TypeError):
blob.fetch(100)
def test_has_with_existing_name(self):
blob = create_blob('existing', np.array([]))
assert blob.has('existing') is True
def test_has_with_none_existing_name(self):
blob = create_blob()
assert blob.has('non_existing') is False
def test_has_with_non_string_name(self):
blob = create_blob()
with pytest.raises(TypeError):
blob.has(100)