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Fix invocation of some slow Flax tests #3058

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Merged
merged 2 commits into from
Apr 11, 2023
Merged

Fix invocation of some slow Flax tests #3058

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949096d
Fix invocation of some slow tests.
pcuenca Apr 11, 2023
010cd16
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pcuenca Apr 11, 2023
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17 changes: 4 additions & 13 deletions tests/test_pipelines_flax.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,6 @@
import jax.numpy as jnp
from flax.jax_utils import replicate
from flax.training.common_utils import shard
from jax import pmap

from diffusers import FlaxDDIMScheduler, FlaxDiffusionPipeline, FlaxStableDiffusionPipeline

Expand Down Expand Up @@ -70,14 +69,12 @@ def test_dummy_all_tpus(self):
prompt = num_samples * [prompt]
prompt_ids = pipeline.prepare_inputs(prompt)

p_sample = pmap(pipeline.__call__, static_broadcasted_argnums=(3,))

# shard inputs and rng
params = replicate(params)
prng_seed = jax.random.split(prng_seed, num_samples)
prompt_ids = shard(prompt_ids)

images = p_sample(prompt_ids, params, prng_seed, num_inference_steps).images
images = pipeline(prompt_ids, params, prng_seed, num_inference_steps, jit=True).images

assert images.shape == (num_samples, 1, 64, 64, 3)
if jax.device_count() == 8:
Expand Down Expand Up @@ -105,14 +102,12 @@ def test_stable_diffusion_v1_4(self):
prompt = num_samples * [prompt]
prompt_ids = pipeline.prepare_inputs(prompt)

p_sample = pmap(pipeline.__call__, static_broadcasted_argnums=(3,))

# shard inputs and rng
params = replicate(params)
prng_seed = jax.random.split(prng_seed, num_samples)
prompt_ids = shard(prompt_ids)

images = p_sample(prompt_ids, params, prng_seed, num_inference_steps).images
images = pipeline(prompt_ids, params, prng_seed, num_inference_steps, jit=True).images

assert images.shape == (num_samples, 1, 512, 512, 3)
if jax.device_count() == 8:
Expand All @@ -136,14 +131,12 @@ def test_stable_diffusion_v1_4_bfloat_16(self):
prompt = num_samples * [prompt]
prompt_ids = pipeline.prepare_inputs(prompt)

p_sample = pmap(pipeline.__call__, static_broadcasted_argnums=(3,))

# shard inputs and rng
params = replicate(params)
prng_seed = jax.random.split(prng_seed, num_samples)
prompt_ids = shard(prompt_ids)

images = p_sample(prompt_ids, params, prng_seed, num_inference_steps).images
images = pipeline(prompt_ids, params, prng_seed, num_inference_steps, jit=True).images

assert images.shape == (num_samples, 1, 512, 512, 3)
if jax.device_count() == 8:
Expand Down Expand Up @@ -211,14 +204,12 @@ def test_stable_diffusion_v1_4_bfloat_16_ddim(self):
prompt = num_samples * [prompt]
prompt_ids = pipeline.prepare_inputs(prompt)

p_sample = pmap(pipeline.__call__, static_broadcasted_argnums=(3,))

# shard inputs and rng
params = replicate(params)
prng_seed = jax.random.split(prng_seed, num_samples)
prompt_ids = shard(prompt_ids)

images = p_sample(prompt_ids, params, prng_seed, num_inference_steps).images
images = pipeline(prompt_ids, params, prng_seed, num_inference_steps, jit=True).images

assert images.shape == (num_samples, 1, 512, 512, 3)
if jax.device_count() == 8:
Expand Down