Upload constants.py

constants.py

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+import tensorflow as tf
+
+# DATA
+DATASET_NAME = "organmnist3d"
+BATCH_SIZE = 32
+AUTO = tf.data.AUTOTUNE
+INPUT_SHAPE = (28, 28, 28, 1)
+NUM_CLASSES = 11
+
+# OPTIMIZER
+LEARNING_RATE = 1e-4
+WEIGHT_DECAY = 1e-5
+
+# TRAINING
+EPOCHS = 80
+
+# TUBELET EMBEDDING
+PATCH_SIZE = (8, 8, 8)
+NUM_PATCHES = (INPUT_SHAPE[0] // PATCH_SIZE[0]) ** 2
+
+# ViViT ARCHITECTURE
+LAYER_NORM_EPS = 1e-6
+PROJECTION_DIM = 128
+NUM_HEADS = 8
+NUM_LAYERS = 8
+
+labels = ['liver', 'kidney-right', 'kidney-left', 'femur-right', 'femur-left', 'bladder', 'heart', 'lung-right', 'lung-left', 'spleen', 'pancreas']