如何将整数位模式解压成tf.tensor?

你可以这样做:

import tensorflow as tf

def bits_to_one_hot(bits, depth, dtype=None):
    bits = tf.convert_to_tensor(bits)
    masks = tf.bitwise.left_shift(tf.ones([], dtype=bits.dtype),
                                  tf.range(depth, dtype=bits.dtype))
    masked = tf.bitwise.bitwise_and(tf.expand_dims(bits, -1), masks)
    dtype = dtype or bits.dtype
    return tf.cast(tf.not_equal(masked, 0), dtype)

data = [0b10111010, 0b00101101]
depth = 8
input_bits = tf.placeholder(tf.int64, [None])
one_hot = bits_to_one_hot(input_bits, depth)
with tf.Session() as sess:
    print(sess.run(one_hot, feed_dict={input_bits: data}))

输出:

[[0 1 0 1 1 1 0 1]
 [1 0 1 1 0 1 0 0]]