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Managing the multiple accounts on our products is the responsibility of you, the account holder. It is your responsibility to maintain a clean login history on your account and to take immediate action when compromised by a third party.Q:
Issue with for loop through tensors in Tensorflow
When I run the below code:
import tensorflow as tf
x = tf.placeholder(“float32”, [None,10])
y = tf.placeholder(“float32”, [None,11])
for i in tf.range(4):
z = tf.matmul(x, y)
with tf.Session() as sess:
z.eval()
I get the following error:
z = tf.matmul(x, y)
AttributeError: ‘tf.Tensor’ object has no attribute ‘__getitem__’
But when I change i to a tensor instead of a number
for i in tf.range(4):
z = tf.matmul(x, y)
with tf.Session() as sess:
z.eval()
it works perfectly. Why does it happen and what is the difference between the two for loops?
EDIT:
The issue is with the i variable and not the placeholders.
The right solution I have found is:
x = tf.placeholder(“float32”, [None,10])
y = tf.placeholder(“float32”, [None,11])
for _ in range(4):
z = tf.matmul(x, y)
with tf.Session() as sess:
z.eval()
A:
The right solution I have found is
x = tf.placeholder(“float32”, [
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