
import numpy as np
import tensorflow as tf
import sys
sys.stdout.flush()
# Load TFLite model and allocate tensors.
interpreter = tf.lite.Interpreter(model_path="hayao_epoch60.tflite")
interpreter.allocate_tensors()
# Get input and output tensors.
input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()
print(input_details)
print(output_details)

8661ffabedce254aee047afcf3108bc0c99b518a
<mask token>

<mask token>
sys.stdout.flush()
<mask token>
interpreter.allocate_tensors()
<mask token>
print(input_details)
print(output_details)

<mask token>
sys.stdout.flush()
interpreter = tf.lite.Interpreter(model_path='hayao_epoch60.tflite')
interpreter.allocate_tensors()
input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()
print(input_details)
print(output_details)

import numpy as np
import tensorflow as tf
import sys
sys.stdout.flush()
interpreter = tf.lite.Interpreter(model_path='hayao_epoch60.tflite')
interpreter.allocate_tensors()
input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()
print(input_details)
print(output_details)


import numpy as np
import tensorflow as tf
import sys
sys.stdout.flush()
# Load TFLite model and allocate tensors.
interpreter = tf.lite.Interpreter(model_path="hayao_epoch60.tflite")
interpreter.allocate_tensors()
# Get input and output tensors.
input_details = interpreter.get_input_details()
output_details = interpreter.get_output_details()
print(input_details)
print(output_details)
