def test_joint():
arr = np.random.randn(100, 100)
levels = 1000
qarr = mmcv.quantize(arr, -1, 1, levels)
recover = mmcv.dequantize(qarr, -1, 1, levels)
assert np.abs(recover[arr < -1] + 0.999).max() < 1e-6
assert np.abs(recover[arr > 1] - 0.999).max() < 1e-6
assert np.abs((recover - arr)[(arr >= -1) & (arr <= 1)]).max() <= 1e-3
arr = np.clip(np.random.randn(100) / 1000, -0.01, 0.01)
levels = 99
qarr = mmcv.quantize(arr, -1, 1, levels)
recover = mmcv.dequantize(qarr, -1, 1, levels)
assert np.all(recover == 0)
def test_quantize():
arr = np.random.randn(10, 10)
levels = 20
qarr = mmcv.quantize(arr, -1, 1, levels)
assert qarr.shape == arr.shape
assert qarr.dtype == np.dtype('int64')
for i in range(arr.shape[0]):
for j in range(arr.shape[1]):
ref = min(levels - 1,
int(np.floor(10 * (1 + max(min(arr[i, j], 1), -1)))))
assert qarr[i, j] == ref
qarr = mmcv.quantize(arr, -1, 1, 20, dtype=np.uint8)
assert qarr.shape == arr.shape
assert qarr.dtype == np.dtype('uint8')
with pytest.raises(ValueError):
mmcv.quantize(arr, -1, 1, levels=0)
with pytest.raises(ValueError):
mmcv.quantize(arr, -1, 1, levels=10.0)
with pytest.raises(ValueError):
mmcv.quantize(arr, 2, 1, levels)