Menu
I have a Tensorflow tensor A of size (64, 2, 82, 1), and I want to replace its (:, :, 80:82, :) part with the corresponding part of the tensor B (also (64, 2, 82, 1) size).
How would I do that?
P.S.: To be precise, I mean the operation that would look like this in the numpy:
A[:, :, 80:82, :] = B[:, :, 80:82, :]
900
transpose(x, perm=[1, 0]) . As above, simply calling tf. transpose will default to perm=[2,1,0] . To take the transpose of the matrices in dimension-0 (such as when you are transposing matrices where 0 is the batch dimension), you would set perm=[0,2,1] .
value_index. An int . Index of the operation's endpoint that produces this tensor. dtype. A DType .
Tensors are multi-dimensional arrays with a uniform type (called a dtype ). You can see all supported dtypes at tf. dtypes.
the following code might help you to get some idea,
a = tf.constant([[11,0,13,14],
[21,22,23,0]])
condition = tf.equal(a, 0)
case_true = tf.reshape(tf.multiply(tf.ones([8], tf.int32), -9999), [2, 4])
case_false = a
a_m = tf.where(condition, case_true, case_false)
sess = tf.Session()
sess.run(a_m)
here i am accessing individual element of a tensor!
98
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
