object does not support item assignment in tensor flow
10,184
Tensor objects cannot be accessed/modified by index.
Here's the code fixed:
import tensorflow as tf
x_1 = tf.constant([1, 2, 3])
x_1 = tf.reshape(x_1, shape=(1, 3))
x_2 = tf.constant([2, 3, 4])
x_2 = tf.reshape(x_2, shape=(1, 3))
x_3 = tf.constant([3, 4, 5])
x_3 = tf.reshape(x_3, shape=(1, 3))
x = tf.concat((x_1, x_2, x_3), axis=0)
x = tf.add(x, tf.constant(1, shape=x.shape))
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
y = sess.run(x)
print(y)
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Author by
Maz
Updated on June 04, 2022Comments
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Maz almost 2 years
In the simple program before I am not able to do a simple task and get the following error.
import tensorflow as tf x_1= tf.constant([1, 2, 3]) x_1= tf.reshape(x_1, shape= (1, 3)) x_2= tf.constant([2, 3, 4]) x_2= tf.reshape(x_2, shape= (1, 3)) x_3= tf.constant([3, 4, 5]) x_3= tf.reshape(x_3, shape= (1, 3)) x= tf.concat((x_1, x_2, x_3), axis=0) for i in range(0, 3): x[i, :]= x[i, :]+ 1 init= tf.global_variables_initializer() with tf.Session() as sess: y= sess.run(x)
And I get the following error:
TypeError: 'Tensor' object does not support item assignment