安卓调用tensorflow出现如下问题，请问该怎么办
Dimensions of inputs should match: shape[0] = [1,10] vs. shape[1] = [40,10]
py定义部分：
time_step=20
rnn_unit=10
batch_size=40
input_size=1
output_size=1
lr=0.00073
train_x,train_y=[],[]
#tf.reset_default_graph()
for i in range(len(normalize_data)-time_step-1):
x=normalize_data[i:i+time_step]
y=normalize_data[i+1:i+time_step+1]
train_x.append(x.tolist())
train_y.append(y.tolist())
X=tf.placeholder(tf.float32, [None,time_step,input_size],name="input3")
#X=tf.placeholder(tf.float32, [None,time_step,input_size],name="input4")
#X=tf.placeholder(tf.float32,None,name="input4")
Y=tf.placeholder(tf.float32, [None,time_step,output_size])
安卓调用部分
Trace.beginSection("feed");
//inferenceInterface.feed(inputName, inputs, WIDTH, HEIGHT);
inferenceInterface.feed(inputName, inputs, 1,20,1);
Trace.endSection();

飘过＼（〇_ｏ）／

请问楼主最后怎么解决的