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I have a Tensor as below: 

y = tf.placeholder(tf.float32, [None, 3],name="output")

I want to multiply the last of the 3 dimension tensor.
I have tried this: 

outputs_with_multiplier = y
outputs_with_multiplier[-1] = tf.multiply(outputs_with_multiplier[-1],tf.constant(2.0))

I received the following error: 

  outputs_with_multiplier[-1] = tf.multiply(outputs_with_multiplier[-1],tf.constant(2.0))
TypeError: 'Tensor' object does not support item assignment

I have check the following questions for reference, but I didn't found them helpful, may be because I didn't understood them.
1) Tensorflow - matmul of input matrix with batch data
2) Tensor multiplication in Tensorflow

Kindly, help me multiply the Tensors dimension so that it work smoothly.

For example if this is my y = [[1,2,3],[2,3,4],[3,4,5],[2,5,7],[8,9,10],[0,3,2]] So I want to make it outputs_with_multiplier = [[1,2,6],[2,3,8],[3,4,10],[2,5,14],[8,9,20],[0,3,4]]

Please let me know if there is any solution to this.

Amazing Things Around You
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1 Answers1

3

You can't do an item assignment but you can create a new Tensor. The key is to multiply the first 2 columns by 1 and the 3rd column by 2.

x = tf.placeholder(tf.float32, [None, 3], name="output")
y = tf.constant([[1.0, 1.0, 2.0]])
z = tf.multiply(x, y)

sess = tf.Session()
sess.run(z, feed_dict={x: [[1,2,3],[2,3,4],[3,4,5],[2,5,7],[8,9,10],[0,3,2]]})
spadarian
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