input_tensor = tf.reshape(input_tensor, [-1]) # 转成1d的
input_tensor = tf.map_fn(lambda x: tf.cond(x > 0.0001, lambda: 1.0, lambda: 0.0),
input_tensor)
input_tensor = tf.reshape(input_tensor, [batch_size, the_origin_size]) # 再从1d转回来
tf.map_fn 代码实例
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2022-07-27
input_tensor = tf.reshape(input_tensor, [-1]) # 转成1d的
input_tensor = tf.map_fn(lambda x: tf.cond(x > 0.0001, lambda: 1.0, lambda: 0.0),
input_tensor)
input_tensor = tf.reshape(input_tensor, [batch_size, the_origin_size]) # 再从1d转回来
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