如果您有两个不相交的图,并希望将它们链接起来,请转到:
x = tf.placeholder('float')
y = f(x)
y = tf.placeholder('float')
z = f(y)
这方面:
x = tf.placeholder('float')
y = f(x)
z = g(y)
有办法吗?在某些情况下,它似乎可以使建筑变得更容易。
例如,如果您有一个将输入图像作为tf.placeholder的图形,并且希望优化输入图像,那么是否有一种方法可以将占位符替换为tf.variable节点?或者在建立图表之前你必须考虑这个问题
场景:
cos Java Sdk 上传本地文件报错。在文件比较小的时候正常上传,文件一旦超过百兆就会偶发报错
报错信息如下:
com.qcloud.cos.exception.CosClientException: Upload canceled
at com.qcloud.cos.transfer.UploadMonitor.call(UploadMonitor.java:149)
at com.qcloud.cos.transfer.UploadMonitor.call(UploadMonitor.java:47)
at java.uti
我需要根据另一个张量的值提取axis=1沿线的子张量。
state = tf.placeholder(shape=[None, None, 10], dtype=tf.float32)
length = tf.placeholder(shape=[None], dtype=tf.int32)
# this won't work, just be put here to demonstrate what I need
next_init_state = state[:, length - 1, :]
如果state和length具有确定性形状,则可以通过gather_nd导出next_
执行 docker build ‐t yi/centos7‐ssh .命令时总是报错
报错信息如下:
No match for argument: net-tool
Error: Unable to find a match
The command '/bin/sh -c yum install -y passwd openssh-server openssh-clients initscripts net-tool' returned a non-zero code: 1