tensorflow - How to fetch a Variable from the graph in the session? -


i want inspect filters of convolutional layers. trying fetch variables during last step of session.

here simplified version of model:

graph = tf.graph() graph.as_default():      # placeholders     ...      # variables.     conv1_w = tf.variable(..., name='conv1_w')     ...      optimizer = ...     accuracy = ...  tf.session(graph=graph) session:     ...     acc, c1 = session.run([accuracy, conv1_w], feed_dict=feed_test)

i following exception 

fetch argument <tensorflow.python.ops.variables.variable object @ 0x137890710> cannot interpreted tensor. (tensor tensor("conv1_w:0", shape=(5, 5, 1, 16), dtype=float32_ref) not element of graph.)

however, if apply op, can fetch resulting tensor without error:

    c1_op = tf.mul(conv1_w,1.0)     optimizer = ...     accuracy = ...

does tensorflow not allow fetch variables?

it might confusing variable name , "name" parameter both conv1_w

aside seems isn't being used @ in computation graph. meaning there's no data being pushed through or not being used.

quick simple example:

import tensorflow tf sess = tf.interactivesession()  conv1 = tf.variable(1)  sess.run(tf.initialize_all_variables()) sess.run(conv1)

result 1

as side note: it's better use tf.get_variable() instead of tf.variable()


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