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Merged
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Jul 8, 2024
Merged

auto updates #7903

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2 changes: 0 additions & 2 deletions monai/apps/generation/maisi/networks/autoencoderkl_maisi.py
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Original file line number Diff line number Diff line change
Expand Up @@ -27,13 +27,11 @@
AutoencoderKL, has_autoencoderkl = optional_import("generative.networks.nets.autoencoderkl", name="AutoencoderKL")
ResBlock, has_resblock = optional_import("generative.networks.nets.autoencoderkl", name="ResBlock")


if TYPE_CHECKING:
from generative.networks.nets.autoencoderkl import AutoencoderKL as AutoencoderKLType
else:
AutoencoderKLType = cast(type, AutoencoderKL)


# Set up logging configuration
logger = logging.getLogger(__name__)

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2 changes: 1 addition & 1 deletion tests/test_autoencoderkl_maisi.py
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Expand Up @@ -29,7 +29,6 @@

device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")


CASES_NO_ATTENTION = [
[
{
Expand Down Expand Up @@ -82,6 +81,7 @@

@unittest.skipUnless(has_generative, "monai-generative required")
class TestAutoencoderKlMaisi(unittest.TestCase):

@parameterized.expand(CASES)
def test_shape(self, input_param, input_shape, expected_shape, expected_latent_shape):
net = AutoencoderKlMaisi(**input_param).to(device)
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1 change: 1 addition & 0 deletions tests/test_controlnet_maisi.py
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Expand Up @@ -130,6 +130,7 @@
@SkipIfBeforePyTorchVersion((2, 0))
@skipUnless(has_generative, "monai-generative required")
class TestControlNet(unittest.TestCase):

@parameterized.expand(TEST_CASES)
def test_shape_unconditioned_models(self, input_param, expected_num_down_blocks_residuals, expected_shape):
net = ControlNetMaisi(**input_param)
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3 changes: 2 additions & 1 deletion tests/test_diffusion_model_unet_maisi.py
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Expand Up @@ -26,7 +26,6 @@
if has_generative:
from monai.apps.generation.maisi.networks.diffusion_model_unet_maisi import DiffusionModelUNetMaisi


UNCOND_CASES_2D = [
[
{
Expand Down Expand Up @@ -294,6 +293,7 @@

@skipUnless(has_generative, "monai-generative required")
class TestDiffusionModelUNetMaisi2D(unittest.TestCase):

@parameterized.expand(UNCOND_CASES_2D)
@skipUnless(has_einops, "Requires einops")
def test_shape_unconditioned_models(self, input_param):
Expand Down Expand Up @@ -512,6 +512,7 @@ def test_shape_with_additional_inputs(self, input_param):

@skipUnless(has_generative, "monai-generative required")
class TestDiffusionModelUNetMaisi3D(unittest.TestCase):

@parameterized.expand(UNCOND_CASES_3D)
@skipUnless(has_einops, "Requires einops")
def test_shape_unconditioned_models(self, input_param):
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