Load a tf feed_dict with data from memory

load_feed_dict_from_memory.py

# Load all data into memory
data = load_data(all_filenames, tf.estimator.ModeKeys.TRAIN, reader_params)

# Create placeholder variables and define their shapes (here, 
# we input a volume image of size [128, 224, 244] and a single
# channel (i.e. greyscale):
x = tf.placeholder(reader_example_dtypes['features']['x'], 
                   [None, 128, 224, 224, 1])
y = tf.placeholder(reader_example_dtypes['labels']['y'], 
                   [None, 1])

# Create a tf.data.Dataset
dataset = tf.data.Dataset.from_tensor_slices((x, y))
dataset = dataset.repeat(None)
dataset = dataset.batch(batch_size)
dataset = dataset.prefetch(1)

# Create an iterator
iterator = dataset.make_initializable_iterator()
nx = iterator.get_next()

with tf.train.MonitoredTrainingSession() as sess_dict:
    
    sess_dict.run(iterator.initializer, 
               feed_dict={x: data['features'], y: data['labels']})
    
    for i in range(iterations):
        # Get next features/labels pair
        dict_batch_feat, dict_batch_lbl = sess_dict.run(nx)

I am facing below problem when i am running your code>? why is load_data is not defined in your program

load_data(all_filenames, tf.estimator.ModeKeys.TRAIN, reader_params)

NameError: name 'Loaddata' is not defined

Because this is a gist code snippet, not a stand alone script. I'd refer to the actual tutorial: https://github.com/DLTK/DLTK/blob/master/examples/tutorials/01_reading_medical_images_in_tf.ipynb

thanks for your feedback *Ali Nawaz* *Software Engineer* Cell: 03358043653 Address: University of Engineering and Technology Taxila.

…

On Sun, Oct 6, 2019 at 3:44 PM Martin Rajchl ***@***.***> wrote: Because this is a gist code snippet, not a stand alone script. I'd refer to the actual tutorial: https://github.com/DLTK/DLTK/blob/master/examples/tutorials/01_reading_medical_images_in_tf.ipynb — You are receiving this because you commented. Reply to this email directly, view it on GitHub <https://gist.github.com/d2a9afcbbd361fab4cbd4beb557781a0?email_source=notifications&email_token=AI33XKXFFCPN5ACKFMVSY73QNG6SRA5CNFSM4I53MKW2YY3PNVWWK3TUL52HS4DFVNDWS43UINXW23LFNZ2KUY3PNVWWK3TUL5UWJTQAFZ7LQ#gistcomment-3047096>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AI33XKW57EF7D6GAP5E73GDQNG6SRANCNFSM4I53MKWQ> .