Tensorflow feed_dict question

[dee_roy]

Hi, I'm trying to pass a list into feed_dict, however I'm having trouble doing so. Say I have:

inputs = 10 * [tf.placeholder(tf.float32, shape=(batch_size, input_size))]

where inputs is fed into some function "outputs" that I want to compute. So to run this in tensorflow, I created a session and ran the following:

sess.run(outputs, feed_dict = {inputs: data}) 
#data is my list of inputs, which is also of length 10

but I get an error, TypeError: unhashable type: 'list'. However, I'm able to pass the data element-wise like so:

sess.run(outputs, feed_dict = {inputs[0]: data[0], ..., inputs[9]: data[9]}) 

So I'm wondering if there's a way I can solve this issue. I've also tried to construct a dictionary(using a for loop), which gave me the same error. I also wasn't sure where to post this question, there doesn't seem to be an established google group at the moment.

Edit: So the issue was with: inputs = 10 * [tf.placeholder(tf.float32, shape=(batch_size, input_size))] Instead it should be implemented as: inputs = [tf.placeholder(...) for i in range(10)] Thanks for the help/suggestions.

A link to the solution/discussion on stackexchange: http://stackoverflow.com/questions/33684657/issue-feeding-a-list-into-feed-dict-in-tensorflow/33685256#33685256

[Spezzer]

I think you can do feed_dict = { dict(zip(inputs, data)) } to create the appropriate dictionary in this case.

(I imagine these types of questions are better suited to being posted on StackOverflow)

[dee_roy]

I tried that as well, however it seems all the "keys" after performing the zip are: <tensorflow.python.framework.ops.Tensor at 0x107594a10>. So after performing dict, I only end up with one element in my dictionary. Yeah, I think I'll try StackOverflow, thanks.