try

.woodpecker.yml

@@ -1,8 +1,8 @@
 steps:
   "caffe":
-    image: lablup/ngc-tensorflow:21.10-tf2-py3
+    image: nvcr.io/nvidia/tensorflow:23.10-tf2-py3
     commands:
       - echo "ci working................b. "
-      - sleep 100000
+      - python run.py
 
 

run.py

@@ -0,0 +1,29 @@
+import tensorflow as tf
+from tensorflow import keras
+import matplotlib.pyplot as plt
+import numpy as np
+import os
+# Version Information
+# tensorflow 2.2.0 , Cudnn7.6.5 and Cuda 10.1 , python 3.8
+from keras import backend as K
+K.clear_session()
+
+gpus = tf.config.experimental.list_physical_devices('GPU')
+if gpus:
+  try:
+    tf.config.experimental.set_virtual_device_configuration(gpus[0], [tf.config.experimental.VirtualDeviceConfiguration(memory_limit=6024)])
+  except RuntimeError as e:
+    print(e)
+    os.exit(1)
+
+print(tf.config.experimental.list_physical_devices())
+
+print(tf.__version__)
+
+print(tf.test.is_built_with_cuda())
+
+(X_train, y_train), (X_test,y_test) = tf.keras.datasets.cifar10.load_data()
+
+(X_train, y_train), (X_test,y_test) = tf.keras.datasets.cifar10.load_data()
+
+print(X_train.shape,y_train.shape)