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import tensorflow as tf
import numpy as np
from numpy.random import RandomState
batch_size =8
x=tf.placeholder(tf.float32,shape=[None,2],name='x-input')
y_=tf.placeholder(tf.float32,shape=[None,1],name='y-iutput')
w1=tf.Variable(tf.random.normal([2,1],stddev=1,seed=1))
y=tf.matmul(x,w1)
loss_less=10
loss_more=1
loss=tf.reduce_sum(tf.where(tf.greater(y,y_),(y-y_)*loss_more,(y_-y)*loss_less))
train_step=tf.train.AdamOptimizer(0.001).minimize(loss)
rdm=RandomState(1)
dataset_size=128
X=rdm.rand(dataset_size,2)
Y=[[x1+x2+rdm.rand()/10.0-0.05]for (x1,x2)in X]
print(Y)
print(np.shape(Y))
with tf.Session() as sess:
init_op =tf.global_variables_initializer()
sess.run(init_op)
STEPS=5000
for i in range (STEPS):
start = (i*batch_size)
end=min(start+batch_size,dataset_size)
sess.run(train_step,
feed_dict={x:X[start:end],y_:Y[start:end]})
print (sess.run(w1))求助各位大佬,为什么倒数第二行会报错,ValueError: Cannot feed value of shape (0,) for Tensor 'y-iutput:0', which has shape '(?, 1)' 单独显示数据是没有问题的
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