mat support float16

This commit is contained in:
Qing 2023-03-26 11:45:39 +08:00
parent eb304ba696
commit 1433d21b9f
2 changed files with 118 additions and 4 deletions

View File

@ -1880,7 +1880,10 @@ class MAT(InpaintModel):
seed = 240 # pick up a random number
set_seed(seed)
self.torch_dtype = torch.float16
fp16 = not kwargs.get("no_half", False)
use_gpu = "cuda" in str(device) and torch.cuda.is_available()
self.torch_dtype = torch.float16 if use_gpu and fp16 else torch.float32
G = Generator(
z_dim=512,
c_dim=0,

View File

@ -69,9 +69,73 @@ def assert_equal(
# assert np.array_equal(res, gt)
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
def test_mat(strategy):
model = ModelManager(name="mat", device=device)
@pytest.mark.parametrize(
"strategy", [HDStrategy.ORIGINAL, HDStrategy.RESIZE, HDStrategy.CROP]
)
def test_lama(strategy):
model = ModelManager(name="lama", device=device)
assert_equal(
model,
get_config(strategy),
f"lama_{strategy[0].upper() + strategy[1:]}_result.png",
)
fx = 1.3
assert_equal(
model,
get_config(strategy),
f"lama_{strategy[0].upper() + strategy[1:]}_fx_{fx}_result.png",
fx=1.3,
)
@pytest.mark.parametrize(
"strategy", [HDStrategy.ORIGINAL, HDStrategy.RESIZE, HDStrategy.CROP]
)
@pytest.mark.parametrize("ldm_sampler", [LDMSampler.ddim, LDMSampler.plms])
def test_ldm(strategy, ldm_sampler):
model = ModelManager(name="ldm", device=device)
cfg = get_config(strategy, ldm_sampler=ldm_sampler)
assert_equal(
model, cfg, f"ldm_{strategy[0].upper() + strategy[1:]}_{ldm_sampler}_result.png"
)
fx = 1.3
assert_equal(
model,
cfg,
f"ldm_{strategy[0].upper() + strategy[1:]}_{ldm_sampler}_fx_{fx}_result.png",
fx=fx,
)
@pytest.mark.parametrize(
"strategy", [HDStrategy.ORIGINAL, HDStrategy.RESIZE, HDStrategy.CROP]
)
@pytest.mark.parametrize("zits_wireframe", [False, True])
def test_zits(strategy, zits_wireframe):
model = ModelManager(name="zits", device=device)
cfg = get_config(strategy, zits_wireframe=zits_wireframe)
# os.environ['ZITS_DEBUG_LINE_PATH'] = str(current_dir / 'zits_debug_line.jpg')
# os.environ['ZITS_DEBUG_EDGE_PATH'] = str(current_dir / 'zits_debug_edge.jpg')
assert_equal(
model,
cfg,
f"zits_{strategy[0].upper() + strategy[1:]}_wireframe_{zits_wireframe}_result.png",
)
fx = 1.3
assert_equal(
model,
cfg,
f"zits_{strategy.capitalize()}_wireframe_{zits_wireframe}_fx_{fx}_result.png",
fx=fx,
)
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL], "no_half", [True, False])
def test_mat(strategy, no_half):
model = ModelManager(name="mat", device=device, no_half=no_half)
cfg = get_config(strategy)
for _ in range(10):
@ -79,3 +143,50 @@ def test_mat(strategy):
model, cfg, f"mat_{strategy.capitalize()}_result.png",
)
@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
def test_fcf(strategy):
model = ModelManager(name="fcf", device=device)
cfg = get_config(strategy)
assert_equal(model, cfg, f"fcf_{strategy.capitalize()}_result.png", fx=2, fy=2)
assert_equal(model, cfg, f"fcf_{strategy.capitalize()}_result.png", fx=3.8, fy=2)
@pytest.mark.parametrize(
"strategy", [HDStrategy.ORIGINAL, HDStrategy.RESIZE, HDStrategy.CROP]
)
@pytest.mark.parametrize("cv2_flag", ["INPAINT_NS", "INPAINT_TELEA"])
@pytest.mark.parametrize("cv2_radius", [3, 15])
def test_cv2(strategy, cv2_flag, cv2_radius):
model = ModelManager(
name="cv2",
device=torch.device(device),
)
cfg = get_config(strategy, cv2_flag=cv2_flag, cv2_radius=cv2_radius)
assert_equal(
model,
cfg,
f"sd_{strategy.capitalize()}_{cv2_flag}_{cv2_radius}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
)
@pytest.mark.parametrize(
"strategy", [HDStrategy.ORIGINAL, HDStrategy.RESIZE, HDStrategy.CROP]
)
def test_manga(strategy):
model = ModelManager(
name="manga",
device=torch.device(device),
)
cfg = get_config(strategy)
assert_equal(
model,
cfg,
f"sd_{strategy.capitalize()}.png",
img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
)
>>>>>>> 944494a (mat support float16)