mirror of
https://github.com/huggingface/diffusers.git
synced 2026-01-27 17:22:53 +03:00
a124204490
* pass norm_num_groups param and add tests * set resnet_groups for FlaxUNetMidBlock2D * fixed docstrings * fixed typo * using is_flax_available util and created require_flax decorator
45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
from diffusers.utils import is_flax_available
|
|
from diffusers.utils.testing_utils import require_flax
|
|
|
|
|
|
if is_flax_available():
|
|
import jax
|
|
|
|
|
|
@require_flax
|
|
class FlaxModelTesterMixin:
|
|
def test_output(self):
|
|
init_dict, inputs_dict = self.prepare_init_args_and_inputs_for_common()
|
|
|
|
model = self.model_class(**init_dict)
|
|
variables = model.init(inputs_dict["prng_key"], inputs_dict["sample"])
|
|
jax.lax.stop_gradient(variables)
|
|
|
|
output = model.apply(variables, inputs_dict["sample"])
|
|
|
|
if isinstance(output, dict):
|
|
output = output.sample
|
|
|
|
self.assertIsNotNone(output)
|
|
expected_shape = inputs_dict["sample"].shape
|
|
self.assertEqual(output.shape, expected_shape, "Input and output shapes do not match")
|
|
|
|
def test_forward_with_norm_groups(self):
|
|
init_dict, inputs_dict = self.prepare_init_args_and_inputs_for_common()
|
|
|
|
init_dict["norm_num_groups"] = 16
|
|
init_dict["block_out_channels"] = (16, 32)
|
|
|
|
model = self.model_class(**init_dict)
|
|
variables = model.init(inputs_dict["prng_key"], inputs_dict["sample"])
|
|
jax.lax.stop_gradient(variables)
|
|
|
|
output = model.apply(variables, inputs_dict["sample"])
|
|
|
|
if isinstance(output, dict):
|
|
output = output.sample
|
|
|
|
self.assertIsNotNone(output)
|
|
expected_shape = inputs_dict["sample"].shape
|
|
self.assertEqual(output.shape, expected_shape, "Input and output shapes do not match")
|