1. CUDA_ERROR_OUT_OF_MEMORY import tensorflow as tf # 避免 CUDA_ERROR_OUT_OF_MEMORY config = tf.ConfigProto(allow_soft_placement=True) gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=0.7) config.gpu_options.allow_growth = True sess = tf.Session(config=config) a = tf.placeholder("float") b = tf.placeholder("float") c = tf.constant(6.0) d = tf.multiply(a, b) y = tf.multiply(d, c) print sess.run(y, feed_dict={a: 3, b: 3})