在张量列表中找到最大绝对标量值

Question

I have a list of tensors, with different dimensions. I want to find the maximum absolute scalar value of all the tensors. Trouble is, I think I need a way to do greater than or less than on tensors, but I can only find tf.equal() . This is the kind of thing I'd like to do:

curMaxAbs = tf.Variable(-1, tf.float64)
for g in myList:
    maxG = tf.abs(tf.reduce_max(g))
    minG = tf.abs(tf.reduce_min(g))
    maxAbsG = maxG if tf.greaterThan(maxG,minG) else minG
    curMaxAbs = maxAbsG if tf.greaterThan(maxAbsG, curMaxAbs) else curMaxAbs

Of course there doesn't seem to be a tf.greaterThan() function. Obviously this would be trivial if I could use tf.eval() and convert to numpy arrays but unfortunately I need to do this during construction.

Answer 1

像这样的tf.maximum怎么样：

maxAbsG = tf.maximum ( maxG, minG )