opencv - Image processing in TensorFlow distributed session -


i testing out tensorflow distributed (https://www.tensorflow.org/deploy/distributed) local machine (windows) , ubuntu vm. where, have followed link distributed tensorflow replicated training example: grpc_tensorflow_server - no such file or directory , set tensorflow called server per below.

import tensorflow tf parameter_servers = ["10.0.3.15:2222"] workers = ["10.0.3.15:2222","10.0.3.15:2223"] cluster = tf.train.clusterspec({"local": parameter_servers, "worker": workers}) server = tf.train.server(cluster, job_name="local", task_index=0) server.join()

where “10.0.3.15” – ubuntu local ip address. in windows host machine – doing simple image preprocessing using open cv , extending graph session vm. have used following code that. 

  *import tensorflow tf   opencvtest import *   tf.session("grpc:// 10.0.3.15:2222") sess:   ### open cv calling section ###   img = cv2.imread('data/ball.jpg')   grey_img = cv2.cvtcolor(img, cv2.color_rgb2gray)   flat_img_array = img.flatten()   x = tf.placeholder(tf.float32, shape=(flat_img_array[0],flat_img_array[1]))   y = tf.multiply(x, x)   sess.run(y)*

i can see session running on ubunu machine. please see below screenshot.

test_result

[ note- in image notice, in windows console calling session , ubuntu terminal listening same session. ]

but strange thing have observed opencv preprocessing operation (grey_img = cv2.cvtcolor(img, cv2.color_rgb2gray)) it’s leveraging local opencv package. in assumption when running session on other server should operation on server. in case running session on ubuntu vm, should run operation has been defined tf.session("grpc:// 10.0.3.15:2222") in should running on ubuntu vm leveraging vm’s local packages, that’s not happening. understanding of sess.run(y) distributed correct ? when run session in distributed manner. extend graph computation load machine through grpc ? summarize ask - “i planning large pre-preprocessing before feeding value tensor , want in distributed way. better approach follow ? initial understanding can tensorflow distributed test think may not able it.“ thoughts of real help. thank you.


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