alexeygrigorev

graph = tf.Graph()

with graph.as_default():
    with graph.device('/gpu:0'):
        # input data
        train_dataset = tf.placeholder(tf.int32, shape=[batch_size])
        train_labels = tf.placeholder(tf.int32, shape=[batch_size, 1])
        valid_dataset = tf.constant(valid_examples, dtype=tf.int32)

        # variables

mooware

# colored stream handler for python logging framework (use the ColorStreamHandler class).
#
# based on:
# http://stackoverflow.com/questions/384076/how-can-i-color-python-logging-output/1336640#1336640

# how to use:
# i used a dict-based logging configuration, not sure what else would work.
#
# import logging, logging.config, colorstreamhandler
# 

rgreenjr

-- show running queries (pre 9.2)
SELECT procpid, age(clock_timestamp(), query_start), usename, current_query 
FROM pg_stat_activity 
WHERE current_query != '<IDLE>' AND current_query NOT ILIKE '%pg_stat_activity%' 
ORDER BY query_start desc;

-- show running queries (9.2)
SELECT pid, age(clock_timestamp(), query_start), usename, query 
FROM pg_stat_activity 
WHERE query != '<IDLE>' AND query NOT ILIKE '%pg_stat_activity%'