While running this in Google Colab I get the following error: I am using the pro version of Google Collab. XlaRuntimeError Traceback (most recent call last) [<ipython-input-13-4a86f506c701>](https://localhost:8080/#) in <cell line: 9>() 9 for i in trange(max(n_predictions // jax.device_count(), 1)): 10 # get a new key ---> 11 key, subkey = jax.random.split(key) 12 # generate images 13 encoded_images = p_generate( 10 frames [... skipping hidden 2 frame] [/usr/local/lib/python3.10/dist-packages/jax/_src/dispatch.py](https://localhost:8080/#) in _execute_compiled(name, compiled, input_handler, output_buffer_counts, result_handler, has_unordered_effects, ordered_effects, kept_var_idx, has_host_callbacks, *args) 893 runtime_token = None 894 else: --> 895 out_flat = compiled.execute(in_flat) 896 check_special(name, out_flat) 897 out_bufs = unflatten(out_flat, output_buffer_counts) XlaRuntimeError: INTERNAL: CustomCall failed: jaxlib/gpu/prng_kernels.cc:33: operation gpuGetLastError() failed: cudaGetErrorString symbol not found
Activity
ERIK54600 commentedon Sep 4, 2024
This happens when running this cell
from flax.training.common_utils import shard_prng_key
import numpy as np
from PIL import Image
from tqdm.notebook import trange
print(f"Prompts: {prompts}\n")
generate images
images = []
for i in trange(max(n_predictions // jax.device_count(), 1)):
# get a new key
key, subkey = jax.random.split(key)
# generate images
encoded_images = p_generate(
tokenized_prompt,
shard_prng_key(subkey),
params,
gen_top_k,
gen_top_p,
temperature,
cond_scale,
)
# remove BOS
encoded_images = encoded_images.sequences[..., 1:]
# decode images
decoded_images = p_decode(encoded_images, vqgan_params)
decoded_images = decoded_images.clip(0.0, 1.0).reshape((-1, 256, 256, 3))
for decoded_img in decoded_images:
img = Image.fromarray(np.asarray(decoded_img * 255, dtype=np.uint8))
images.append(img)
display(img)
print()
tymoorchik commentedon Nov 20, 2024
Hello! Did you solve this problem?