| I0812 15:00:42.248405 8934 caffe.cpp:160] Using GPUs 0, 1, 2 | |
| I0812 15:00:42.422600 8934 solver.cpp:38] Initializing solver from parameters: | |
| test_iter: 100 | |
| test_interval: 500 | |
| base_lr: 0.01 | |
| display: 100 | |
| max_iter: 10000 | |
| lr_policy: "inv" | |
| gamma: 0.0001 | |
| power: 0.75 |
| # | |
| # mexopts.sh Shell script for configuring MEX-file creation script, | |
| # mex. These options were tested with the specified compiler. | |
| # | |
| # usage: Do not call this file directly; it is sourced by the | |
| # mex shell script. Modify only if you don't like the | |
| # defaults after running mex. No spaces are allowed | |
| # around the '=' in the variable assignment. | |
| # | |
| # Note: For the version of system compiler supported with this release, |
| I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally | |
| I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so locally | |
| I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally | |
| I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so locally | |
| I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally | |
| WARNING:tensorflow:<tensorflow.python.ops.rnn_cell.BasicLSTMCell object at 0x7fe3fc03dd10>: Using a concatenated state is slower and will soon be deprecated. Use state_is_tuple=True. | |
| I tensorflow/core/common_runtime/gpu/gpu_init.cc:102] Found device 0 with properties: | |
| name: Tesla K40c | |
| major: 3 minor: 5 memoryClockRate (GHz) 0.745 | |
| pciBusID 0000:88:00.0 |
| #!/usr/bin/env python2 | |
| import json | |
| import sys | |
| with open(sys.argv[1]) as data_file, \ | |
| open("ids.txt", "w") as id_file, \ | |
| open("questions.txt", "w") as question_file: | |
| data = json.load(data_file) | |
| questions = data["questions"] |
| from __future__ import absolute_import | |
| from __future__ import division | |
| from __future__ import print_function | |
| from __future__ import unicode_literals | |
| import numpy as np | |
| import logging | |
| import os | |
| import cv2 | |
| from laser.client.py import LaserClient, Options |
| import tensorflow as tf | |
| from glob import glob | |
| import numpy as np | |
| sess = tf.Session(config=tf.ConfigProto( | |
| gpu_options=tf.GPUOptions(allow_growth=True))) | |
| N = 100 # batch_size |
| import matplotlib.pyplot as plt | |
| import os.path as osp | |
| import numpy as np | |
| angle_inc = np.pi / 6. | |
| def print_bbox(bbox): | |
| x1, y1, x2, y2 = bbox | |
| plt.plot([x1, x2, x2, x1, x1], [y1, y1, y2, y2, y1], 'r-') |
This list is meant to be a both a quick guide and reference for further research into these topics. It's basically a summary of that comp sci course you never took or forgot about, so there's no way it can cover everything in depth. It also will be available as a gist on Github for everyone to edit and add to.
###Array ####Definition: