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author | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2013-03-15 09:28:04 +0100 |
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committer | Patrick Simianer <simianer@cl.uni-heidelberg.de> | 2013-03-15 09:28:04 +0100 |
commit | fe8ad704d0b5ecf06c798d75d54789e6532fd3c1 (patch) | |
tree | d03838b47fa155f44fc7a64219a6e73953feb589 /training | |
parent | a72761780f54734ba20800fd5f099032fa1cd947 (diff) |
resharding
Diffstat (limited to 'training')
-rwxr-xr-x | training/dtrain/parallelize.rb | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/training/dtrain/parallelize.rb b/training/dtrain/parallelize.rb index a1826e98..fca9b10d 100755 --- a/training/dtrain/parallelize.rb +++ b/training/dtrain/parallelize.rb @@ -5,16 +5,16 @@ require 'trollop' def usage if ARGV.size != 8 STDERR.write "Usage: " - STDERR.write "ruby parallelize.rb -c <dtrain.ini> -e <epochs> [--randomize/-z] -s <#shards|0> -p <at once> -i <input> -r <refs> [--qsub/-q] --dtrain_binary <path to dtrain binary>\n" + STDERR.write "ruby parallelize.rb -c <dtrain.ini> -e <epochs> [--randomize/-z] [--reshard/-y] -s <#shards|0> -p <at once> -i <input> -r <refs> [--qsub/-q] --dtrain_binary <path to dtrain binary> -l \"l2 select_k 100000\"\n" exit 1 end end -usage if not [11, 12, 13, 14].include? ARGV.size opts = Trollop::options do opt :config, "dtrain config file", :type => :string opt :epochs, "number of epochs", :type => :int opt :randomize, "randomize shards before each epoch", :type => :bool, :short => '-z', :default => false + opt :reshard, "reshard after each epoch", :type => :bool, :short => '-y', :default => false opt :shards, "number of shards", :type => :int opt :processes_at_once, "have this number (max) running at the same time", :type => :int, :default => 9999 opt :input, "input", :type => :string @@ -40,6 +40,8 @@ ini = opts[:config] epochs = opts[:epochs] rand = false rand = true if opts[:randomize] +reshard = false +reshard = true if opts[:reshard] predefined_shards = false if opts[:shards] == 0 predefined_shards = true @@ -142,7 +144,7 @@ end end `#{cat} work/weights.*.#{epoch} > work/weights_cat` `#{ruby} #{lplp_rb} #{lplp_args} #{num_shards} < work/weights_cat > work/weights.#{epoch}` - if rand and epoch+1!=epochs + if rand and reshard and epoch+1!=epochs input_files, refs_files = make_shards input, refs, num_shards, epoch+1, rand end } |