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author | Vsevolod Stakhov <vsevolod@highsecure.ru> | 2017-09-09 15:40:15 +0100 |
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committer | Vsevolod Stakhov <vsevolod@highsecure.ru> | 2017-09-09 15:40:15 +0100 |
commit | 0b37952e903a227ed0ba7d1386b9241d2fe0e446 (patch) | |
tree | 931b2e7b25577d17054e12f72a1e5b523acc5a37 /lualib/lua_nn.lua | |
parent | da9dae40e27383d7e646558fae2c708ec20b03c0 (diff) | |
download | rspamd-0b37952e903a227ed0ba7d1386b9241d2fe0e446.tar.gz rspamd-0b37952e903a227ed0ba7d1386b9241d2fe0e446.zip |
[Feature] Allow to load and use dynamic ANNs with torch
Diffstat (limited to 'lualib/lua_nn.lua')
-rw-r--r-- | lualib/lua_nn.lua | 80 |
1 files changed, 80 insertions, 0 deletions
diff --git a/lualib/lua_nn.lua b/lualib/lua_nn.lua new file mode 100644 index 000000000..90d88c12c --- /dev/null +++ b/lualib/lua_nn.lua @@ -0,0 +1,80 @@ +--[[ +Copyright (c) 2017, Vsevolod Stakhov <vsevolod@highsecure.ru> + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +]]-- + +local rspamd_util = require "rspamd_util" +local torch +local nn +local exports = {} + +local lua_nn_models = {} + +if rspamd_config:has_torch() then + torch = require "torch" + nn = require "nn" +end + +if torch then + exports.load_rspamd_nn = function() + local function gen_process_callback(name) + return function(str) + if str then + local f = torch.MemoryFile(torch.CharStorage():string(str)) + local ret, tnn_or_err = pcall(function() f:readObject() end) + if not ret then + rspamd_logger.errx(rspamd_config, "cannot load neural net model %s: %s", + name, tnn_or_err) + else + rspamd_logger.infox(rspamd_config, "loaded NN model %s: %s bytes", + name, #str) + lua_nn_models[name] = tnn_or_err + end + end + end + end + local section = rspamd_config:get_all_opts("nn_models") + + if section and type(section) == 'table' then + for k,v in pairs(section) do + if not rspamd_config:add_map(v, "nn map " .. k, gen_process_callback(k)) then + rspamd_logger.warnx(rspamd_config, 'cannot load NN map %1', k) + end + end + end + end + exports.try_rspamd_nn = function(name, input) + if not lua_nn_models.name then + return false, 0.0 + else + local ret, res_or_err = pcall(function() lua_nn_models.name:forward(input) end) + if not ret then + rspamd_logger.errx(rspamd_config, "cannot run neural net model %s: %s", + name, res_or_err) + else + return true, tonumber(res_or_err) + end + end + + return false, 0.0 + end +else + exports.load_rspamd_nn = function() + end + exports.try_rspamd_nn = function(name, input) + return false,0.0 + end +end + +return exports
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