import tensorflow as tf sess = tf.Session() left = tf.ones(shape=[16,20]) right = tf.ones(shape=[20,100]) result = tf.einsum('in,nd-id', left, right) print(sess.run(tf.shape(result))) left = tf.ones(shape=[10,16,20]) right = tf.ones(shape=[
sess = tf.Session()
left = tf.ones(shape=[16,20])
right = tf.ones(shape=[20,100])
result = tf.einsum('in,nd->id', left, right)
print(sess.run(tf.shape(result)))
left = tf.ones(shape=[10,16,20])
right = tf.ones(shape=[20,100])
result = tf.einsum('ibn,nd->ibd', left, right)
print(sess.run(tf.shape(result)))
left = tf.ones(shape=[10,16,20])
right = tf.ones(shape=[20,24,100])
result = tf.einsum('ibh,hnd->ibnd', left, right)
print(sess.run(tf.shape(result)))
print结果
[ 16 100]
[ 10 16 100]
[ 10 16 24 100]