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@stas-sl
stas-sl / rvm error when installing rubinius 2.0.0 rc1
Last active December 20, 2015 13:58
stas@stas-note:~/RubymineProjects/untitled3/tmp2$ rvm install rbx-2.0.0-rc1 --debug --force
rbx-2.0.0-rc1 - install
Searching for binary rubies, this might take some time.
Remote file does not exist https://rvm.io/binaries/ubuntu/13.04/i386/rubinius-2.0.0-rc1.tar.bz2
Remote file does not exist http://jruby.org.s3.amazonaws.com/downloads/rubinius-2.0.0-rc1.tar.bz2
Remote file does not exist http://binaries.rubini.us/ubuntu/13.04/i386/rubinius-2.0.0-rc1.tar.bz2
rvm_remote_server_url3 not found
No remote file name found
No binary rubies available for: ubuntu/13.04/i386/rbx-2.0.0-rc1.
Continuing with compilation. Please read 'rvm help mount' to get more information on binary rubies.
@stas-sl
stas-sl / pyro_hangs.py
Created August 20, 2015 11:18
import Pyro4
import Pyro4.errors
import time
import threading
import signal
import multiprocessing as mp
Pyro4.config.THREADPOOL_SIZE = 100
# Pyro4.config.THREADING2 = True
# Pyro4.config.SERVERTYPE = "multiplex"
@stas-sl
stas-sl / blocks_lstm_parity_problem.py
Created August 26, 2015 13:31
import theano.tensor as T
import numpy as np
from fuel.streams import DataStream
from fuel.datasets import IterableDataset
from blocks.main_loop import MainLoop
from blocks.extensions import FinishAfter, Printing, Timing, ProgressBar
from blocks.algorithms import GradientDescent, Scale
from blocks.bricks import Linear, Logistic
@stas-sl
stas-sl / blocks_lstm_parity_problem_solved.py
Last active August 26, 2015 22:34
import theano.tensor as T
import numpy as np
import random
from fuel.streams import DataStream
from fuel.datasets import IterableDataset
from blocks.main_loop import MainLoop
from blocks.extensions import FinishAfter, Printing, Timing, ProgressBar
from blocks.algorithms import GradientDescent, Scale, Adam
@stas-sl
stas-sl / log1.txt
Created March 27, 2016 13:27
This file has been truncated, but you can view the full file.
I0321 19:35:15.407027 2639 solver.cpp:280] Solving mixed_lstm
I0321 19:35:15.407040 2639 solver.cpp:281] Learning Rate Policy: fixed
I0321 19:35:15.425205 2639 solver.cpp:338] Iteration 0, Testing net (#0)
I0321 19:35:46.798645 2639 solver.cpp:406] Test net output #0: loss1/accuracy01 = 0.011
I0321 19:35:46.798874 2639 solver.cpp:406] Test net output #1: loss1/accuracy02 = 0.014
I0321 19:35:46.798893 2639 solver.cpp:406] Test net output #2: loss1/accuracy03 = 0.013
I0321 19:35:46.798907 2639 solver.cpp:406] Test net output #3: loss1/accuracy04 = 0.02
I0321 19:35:46.798918 2639 solver.cpp:406] Test net output #4: loss1/accuracy05 = 0.085
I0321 19:35:46.798930 2639 solver.cpp:406] Test net output #5: loss1/accuracy06 = 0.253
I0321 19:35:46.798943 2639 solver.cpp:406] Test net output #6: loss1/accuracy07 = 0.434
@stas-sl
stas-sl / -
Created March 27, 2016 15:07
This file has been truncated, but you can view the full file.
I0327 12:46:12.071159 21344 solver.cpp:280] Solving mixed_lstm
I0327 12:46:12.071171 21344 solver.cpp:281] Learning Rate Policy: fixed
I0327 12:46:12.088115 21344 solver.cpp:338] Iteration 0, Testing net (#0)
I0327 12:46:43.353196 21344 solver.cpp:393] Test loss: 256.606
I0327 12:46:43.353467 21344 solver.cpp:406] Test net output #0: loss1/accuracy01 = 0.002
I0327 12:46:43.353493 21344 solver.cpp:406] Test net output #1: loss1/accuracy02 = 0.008
I0327 12:46:43.353507 21344 solver.cpp:406] Test net output #2: loss1/accuracy03 = 0.018
I0327 12:46:43.353519 21344 solver.cpp:406] Test net output #3: loss1/accuracy04 = 0.037
I0327 12:46:43.353531 21344 solver.cpp:406] Test net output #4: loss1/accuracy05 = 0.049
I0327 12:46:43.353559 21344 solver.cpp:406] Test net output #5: loss1/accuracy06 = 0.136
@stas-sl
stas-sl / -
Last active March 29, 2016 08:20
This file has been truncated, but you can view the full file.
I0327 12:46:12.071159 21344 solver.cpp:280] Solving mixed_lstm
I0327 12:46:12.071171 21344 solver.cpp:281] Learning Rate Policy: fixed
I0327 12:46:12.088115 21344 solver.cpp:338] Iteration 0, Testing net (#0)
I0327 12:46:43.353196 21344 solver.cpp:393] Test loss: 256.606
I0327 12:46:43.353467 21344 solver.cpp:406] Test net output #0: loss1/accuracy01 = 0.002
I0327 12:46:43.353493 21344 solver.cpp:406] Test net output #1: loss1/accuracy02 = 0.008
I0327 12:46:43.353507 21344 solver.cpp:406] Test net output #2: loss1/accuracy03 = 0.018
I0327 12:46:43.353519 21344 solver.cpp:406] Test net output #3: loss1/accuracy04 = 0.037
I0327 12:46:43.353531 21344 solver.cpp:406] Test net output #4: loss1/accuracy05 = 0.049
I0327 12:46:43.353559 21344 solver.cpp:406] Test net output #5: loss1/accuracy06 = 0.136
@stas-sl
stas-sl / caffe.ip-172-31-38-100.invalid-user.log.INFO.20160330-005805.10583
Created March 30, 2016 07:26
This file has been truncated, but you can view the full file.
Log file created at: 2016/03/30 00:58:05
Running on machine: ip-172-31-38-100
Log line format: [IWEF]mmdd hh:mm:ss.uuuuuu threadid file:line] msg
I0330 00:58:05.628971 10583 caffe.cpp:185] Using GPUs 0
I0330 00:58:05.885462 10583 caffe.cpp:190] GPU 0: GRID K520
I0330 00:58:06.003937 10583 solver.cpp:48] Initializing solver from parameters:
test_iter: 1000
test_interval: 5000
base_lr: 0.01
display: 500
@stas-sl
stas-sl / 1
Last active March 30, 2016 22:00
This file has been truncated, but you can view the full file.
I0330 00:58:47.679792 10583 solver.cpp:280] Solving mixed_lstm
I0330 00:58:47.679805 10583 solver.cpp:281] Learning Rate Policy: fixed
I0330 00:58:47.700913 10583 solver.cpp:338] Iteration 0, Testing net (#0)
I0330 00:59:21.332644 10583 solver.cpp:393] Test loss: 272.275
I0330 00:59:21.333082 10583 solver.cpp:406] Test net output #0: loss1/accuracy = 0.0014
I0330 00:59:21.333103 10583 solver.cpp:406] Test net output #1: loss1/accuracy_incl_empty = 0.664909
I0330 00:59:21.333117 10583 solver.cpp:406] Test net output #2: loss1/accuracy_top3 = 0.00426905
I0330 00:59:21.333134 10583 solver.cpp:406] Test net output #3: loss1/cross_entropy_loss = 75.728 (* 0.3 = 22.7184 loss)
I0330 00:59:21.333150 10583 solver.cpp:406] Test net output #4: loss1/cross_entropy_loss_incl_empty = 75.7553 (* 0.3 = 22.7266 loss)
I0330 00:59:21.333165 10583 solver.cpp:406] Test net output #5: loss2/accuracy = 0
@stas-sl
stas-sl / log2
Last active March 31, 2016 13:40
I0331 10:11:54.822957 29371 solver.cpp:280] Solving mixed_lstm
I0331 10:11:54.822969 29371 solver.cpp:281] Learning Rate Policy: fixed
I0331 10:11:55.173683 29371 solver.cpp:229] Iteration 0, loss = 13.7452
I0331 10:11:55.173739 29371 solver.cpp:245] Train net output #0: loss1/accuracy = 0
I0331 10:11:55.173756 29371 solver.cpp:245] Train net output #1: loss1/accuracy_incl_empty = 0
I0331 10:11:55.173769 29371 solver.cpp:245] Train net output #2: loss1/accuracy_top3 = 0.0217391
I0331 10:11:55.173785 29371 solver.cpp:245] Train net output #3: loss1/cross_entropy_loss = 4.35526 (* 0.3 = 1.30658 loss)
I0331 10:11:55.173800 29371 solver.cpp:245] Train net output #4: loss1/cross_entropy_loss_incl_empty = 4.39893 (* 0.3 = 1.31968 loss)
I0331 10:11:55.173812 29371 solver.cpp:245] Train net output #5: loss2/accuracy = 0
I0331 10:11:55.173825 29371 solver.cpp:245] Train net output #6: loss2/accuracy_incl_empty = 0