# layers.append(softmax)
for i, l in enumerate(layers):
pr("{}: {}".format(i, l))
return layers
def build_architecture(opts, sample):
opts.architecture = {}
opts.architecture['nlayers'] = 6
opts.architecture['kernel_sizes'] = [5, 5, 3, 3, 3, 3]
opts.architecture['filters'] = [64, 128, 256, 256, 512, 1024]
opts.architecture['paddings'] = ['same'] * 7
opts.architecture['activation'] = utils.activation(opts.activation_type)
opts.architecture['embedding_size'] = 2048
return network(sample['image'], opts, regularizer=None)
if __name__ == '__main__':
opts = options.get_opts()
opts.architecture = {}
opts.architecture['nlayers'] = 6
opts.architecture['kernel_sizes'] = [5, 5, 3, 3, 3, 3]
opts.architecture['filters'] = [64, 128, 256, 256, 512, 1024]
opts.architecture['paddings'] = ['same'] * 7
opts.architecture['activation'] = utils.activation(opts.activation_type)
opts.architecture['embedding_size'] = 2048
size = [None, opts.net_img_size, opts.net_img_size, opts.nchannels]
x = tf.placeholder(tf.float32, size)
network(x, opts, debug=True)
age = 0
elif age >= 24 and age < 35:
age = 1
elif age >= 35 and age < 45:
age = 2
elif age >= 45 and age < 55:
age = 3
else:
age = 4
f.write("%s\r" % " ".join([filename,str(age)]))
call(["convert_imageset", "-resize_height", "256", "-resize_width", "256", "/", train_file, image_db_path])
call(["compute_image_mean", image_db_path, proto_path])
if __name__ == "__main__":
from sys import argv
# Read command line arguments and populate environment variables
from options import get_opts
opts = get_opts(argv[1:])
# Read profile.csv and load a dictionary
from read_profile import read_profile
# Assert at each point to check output and print if error
from assert_return import assert_return
status,data = read_profile(opts)
assert_return(opts, status, data)
create_dataset(opts, data)
words = [word for word,count in bucket]
try:
super_set &= set(words)
except:
super_set = set(words)
print val,bucket
buckets.append((val,words))
print super_set
print "\n"
for val,bucket in buckets:
print val, set(bucket) - super_set
if __name__ == "__main__":
from sys import argv
# Read command line arguments and populate environment variables
from options import get_opts
opts = get_opts(argv[1:])
# Read profile.csv and load a dictionary
from read_profile import read_profile
# Assert at each point to check output and print if error
from assert_return import assert_return
status,data = read_profile(opts)
assert_return(opts, status, data)
get_word_count(opts, data)
import m5
from m5.objects import *
from caches import *
from options import get_opts, get_process_cmd
(opts, args) = get_opts()
system = System()
system.clk_domain = SrcClockDomain()
system.clk_domain.clock = '1GHz'
system.clk_domain.voltage_domain = VoltageDomain()
system.mem_mode = 'atomic' # Use timing accesses
system.mem_ranges = [AddrRange('512MB')] # Create an address range
system.cpu = AtomicSimpleCPU()
system.membus = SystemXBar()
system.cpu.dcache = L1DCache(opts)
system.cpu.icache = L1ICache(opts)
fault_injector = FaultInjector(input_path=opts.input_path)
system.cpu.dcache.fault_injector = fault_injector
system.cpu.icache.fault_injector = fault_injector
system.cpu.dcache.connectCPU(system.cpu)
system.cpu.icache.connectCPU(system.cpu)
