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diffusers/tests/models/test_models_vae_flax.py
Patrick von Platen a80480f0f2 [Tests] Improve unet / vae tests (#1018)
* improve tests

* up

* finish

* upload

* add init

* up

* finish vae

* finish

* reduce loading time with device_map

* remove device_map from CPU

* uP
2022-10-28 13:43:26 +02:00

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1.1 KiB
Python

import unittest
from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax
from ..test_modeling_common_flax import FlaxModelTesterMixin
if is_flax_available():
import jax
@require_flax
class FlaxAutoencoderKLTests(FlaxModelTesterMixin, unittest.TestCase):
model_class = FlaxAutoencoderKL
@property
def dummy_input(self):
batch_size = 4
num_channels = 3
sizes = (32, 32)
prng_key = jax.random.PRNGKey(0)
image = jax.random.uniform(prng_key, ((batch_size, num_channels) + sizes))
return {"sample": image, "prng_key": prng_key}
def prepare_init_args_and_inputs_for_common(self):
init_dict = {
"block_out_channels": [32, 64],
"in_channels": 3,
"out_channels": 3,
"down_block_types": ["DownEncoderBlock2D", "DownEncoderBlock2D"],
"up_block_types": ["UpDecoderBlock2D", "UpDecoderBlock2D"],
"latent_channels": 4,
}
inputs_dict = self.dummy_input
return init_dict, inputs_dict