# 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)