My version changes
This commit is contained in:
parent
53cda0173c
commit
4448590ddc
@ -32,7 +32,7 @@ else
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os.exit()
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os.exit()
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end
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end
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checkpoint = torch.load(opt.load_model)
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checkpoint = torch.load(opt.load_model, 'ascii')
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checkpoint.protos.rnn:double()
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checkpoint.protos.rnn:double()
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checkpoint.protos.criterion:double()
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checkpoint.protos.criterion:double()
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torch.save(opt.save_file, checkpoint)
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torch.save(opt.save_file, checkpoint, 'ascii')
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18
data/hongloumeng/data.t7
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18
data/hongloumeng/data.t7
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1562
data/hongloumeng/input.txt
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data/hongloumeng/input.txt
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data/hongloumeng/vocab.t7
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data/hongloumeng/vocab.t7
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@ -26,7 +26,7 @@ if opt.gpuid >= 0 then
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cutorch.setDevice(opt.gpuid + 1)
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cutorch.setDevice(opt.gpuid + 1)
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end
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end
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local model = torch.load(opt.model)
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local model = torch.load(opt.model, 'ascii')
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print('opt:')
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print('opt:')
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print(model.opt)
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print(model.opt)
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414
package-lock.json
generated
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414
package-lock.json
generated
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@ -0,0 +1,414 @@
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{
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"requires": true,
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"lockfileVersion": 1,
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"dependencies": {
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"requires": {
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"asap": "2.0.6",
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"inline-style-prefix-all": "1.0.5"
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}
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||||||
|
},
|
||||||
|
"react-addons-create-fragment": {
|
||||||
|
"version": "15.6.2",
|
||||||
|
"resolved": "https://registry.npmjs.org/react-addons-create-fragment/-/react-addons-create-fragment-15.6.2.tgz",
|
||||||
|
"integrity": "sha1-o5TefCx77Na1R1uhuXrEcs58dPg=",
|
||||||
|
"requires": {
|
||||||
|
"fbjs": "0.8.17",
|
||||||
|
"loose-envify": "1.3.1",
|
||||||
|
"object-assign": "4.1.1"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"react-addons-css-transition-group": {
|
||||||
|
"version": "15.1.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/react-addons-css-transition-group/-/react-addons-css-transition-group-15.1.0.tgz",
|
||||||
|
"integrity": "sha1-BXAkppk4akeh/35IshOKCtApHxQ="
|
||||||
|
},
|
||||||
|
"react-addons-transition-group": {
|
||||||
|
"version": "15.6.2",
|
||||||
|
"resolved": "https://registry.npmjs.org/react-addons-transition-group/-/react-addons-transition-group-15.6.2.tgz",
|
||||||
|
"integrity": "sha1-i668Kukczb8kX+Kcn9PTb4tHGSM=",
|
||||||
|
"requires": {
|
||||||
|
"react-transition-group": "1.2.1"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"react-addons-update": {
|
||||||
|
"version": "15.6.2",
|
||||||
|
"resolved": "https://registry.npmjs.org/react-addons-update/-/react-addons-update-15.6.2.tgz",
|
||||||
|
"integrity": "sha1-5TdTxbNIh5dFEMiC1/sHWFHV5QQ=",
|
||||||
|
"requires": {
|
||||||
|
"fbjs": "0.8.17",
|
||||||
|
"object-assign": "4.1.1"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"react-dom": {
|
||||||
|
"version": "15.1.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/react-dom/-/react-dom-15.1.0.tgz",
|
||||||
|
"integrity": "sha1-0MKyTItHpBornsdmZi1OaG81MVM="
|
||||||
|
},
|
||||||
|
"react-event-listener": {
|
||||||
|
"version": "0.1.2",
|
||||||
|
"resolved": "https://registry.npmjs.org/react-event-listener/-/react-event-listener-0.1.2.tgz",
|
||||||
|
"integrity": "sha1-8f0vDFCEAT6VuLOsP7DR1M3kKBM="
|
||||||
|
},
|
||||||
|
"react-motion": {
|
||||||
|
"version": "0.5.2",
|
||||||
|
"resolved": "https://registry.npmjs.org/react-motion/-/react-motion-0.5.2.tgz",
|
||||||
|
"integrity": "sha512-9q3YAvHoUiWlP3cK0v+w1N5Z23HXMj4IF4YuvjvWegWqNPfLXsOBE/V7UvQGpXxHFKRQQcNcVQE31g9SB/6qgQ==",
|
||||||
|
"requires": {
|
||||||
|
"performance-now": "0.2.0",
|
||||||
|
"prop-types": "15.6.2",
|
||||||
|
"raf": "3.4.0"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"react-scroll": {
|
||||||
|
"version": "1.7.9",
|
||||||
|
"resolved": "https://registry.npmjs.org/react-scroll/-/react-scroll-1.7.9.tgz",
|
||||||
|
"integrity": "sha512-baTwyz2FxaZWZ/4yEAWQEGE4CMZzGj/AjvLu/x4xmAisFgSAq3D0QED3deI6D4zeJTSEmeuy8Hm01IS+IDbKIg==",
|
||||||
|
"requires": {
|
||||||
|
"lodash.throttle": "4.1.1",
|
||||||
|
"prop-types": "15.6.2"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"react-scrollbar": {
|
||||||
|
"version": "0.5.4",
|
||||||
|
"resolved": "https://registry.npmjs.org/react-scrollbar/-/react-scrollbar-0.5.4.tgz",
|
||||||
|
"integrity": "sha512-6t9ztrXipoJJcdS7qXOOXfdnuN16Y862Sy5m0vSDFG8hwmiaJ7JDSkRW4VGaYfgnIcYi7HGvCn/mimDz6uVgXQ==",
|
||||||
|
"requires": {
|
||||||
|
"config": "1.30.0",
|
||||||
|
"line-height": "0.1.1",
|
||||||
|
"react-motion": "0.5.2"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"react-transition-group": {
|
||||||
|
"version": "1.2.1",
|
||||||
|
"resolved": "https://registry.npmjs.org/react-transition-group/-/react-transition-group-1.2.1.tgz",
|
||||||
|
"integrity": "sha512-CWaL3laCmgAFdxdKbhhps+c0HRGF4c+hdM4H23+FI1QBNUyx/AMeIJGWorehPNSaKnQNOAxL7PQmqMu78CDj3Q==",
|
||||||
|
"requires": {
|
||||||
|
"chain-function": "1.0.0",
|
||||||
|
"dom-helpers": "3.3.1",
|
||||||
|
"loose-envify": "1.3.1",
|
||||||
|
"prop-types": "15.6.2",
|
||||||
|
"warning": "3.0.0"
|
||||||
|
},
|
||||||
|
"dependencies": {
|
||||||
|
"warning": {
|
||||||
|
"version": "3.0.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/warning/-/warning-3.0.0.tgz",
|
||||||
|
"integrity": "sha1-MuU3fLVy3kqwR1O9+IIcAe1gW3w=",
|
||||||
|
"requires": {
|
||||||
|
"loose-envify": "1.3.1"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"recompose": {
|
||||||
|
"version": "0.17.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/recompose/-/recompose-0.17.0.tgz",
|
||||||
|
"integrity": "sha1-uyGGF1djT1OzgpOoSYyP5uKEmx8=",
|
||||||
|
"requires": {
|
||||||
|
"hoist-non-react-statics": "1.2.0",
|
||||||
|
"lodash": "4.17.10"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"safer-buffer": {
|
||||||
|
"version": "2.1.2",
|
||||||
|
"resolved": "https://registry.npmjs.org/safer-buffer/-/safer-buffer-2.1.2.tgz",
|
||||||
|
"integrity": "sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg=="
|
||||||
|
},
|
||||||
|
"setimmediate": {
|
||||||
|
"version": "1.0.5",
|
||||||
|
"resolved": "https://registry.npmjs.org/setimmediate/-/setimmediate-1.0.5.tgz",
|
||||||
|
"integrity": "sha1-KQy7Iy4waULX1+qbg3Mqt4VvgoU="
|
||||||
|
},
|
||||||
|
"simple-assign": {
|
||||||
|
"version": "0.1.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/simple-assign/-/simple-assign-0.1.0.tgz",
|
||||||
|
"integrity": "sha1-F/0wZqXz13OPUDIbsPFMooHMS6o="
|
||||||
|
},
|
||||||
|
"ua-parser-js": {
|
||||||
|
"version": "0.7.18",
|
||||||
|
"resolved": "https://registry.npmjs.org/ua-parser-js/-/ua-parser-js-0.7.18.tgz",
|
||||||
|
"integrity": "sha512-LtzwHlVHwFGTptfNSgezHp7WUlwiqb0gA9AALRbKaERfxwJoiX0A73QbTToxteIAuIaFshhgIZfqK8s7clqgnA=="
|
||||||
|
},
|
||||||
|
"underscore": {
|
||||||
|
"version": "1.7.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/underscore/-/underscore-1.7.0.tgz",
|
||||||
|
"integrity": "sha1-a7rwh3UA02vjTsqlhODbn+8DUgk="
|
||||||
|
},
|
||||||
|
"warning": {
|
||||||
|
"version": "2.1.0",
|
||||||
|
"resolved": "https://registry.npmjs.org/warning/-/warning-2.1.0.tgz",
|
||||||
|
"integrity": "sha1-ISINnGOvx3qMkhEeARr3Bc4MaQE=",
|
||||||
|
"requires": {
|
||||||
|
"loose-envify": "1.3.1"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"whatwg-fetch": {
|
||||||
|
"version": "2.0.4",
|
||||||
|
"resolved": "https://registry.npmjs.org/whatwg-fetch/-/whatwg-fetch-2.0.4.tgz",
|
||||||
|
"integrity": "sha512-dcQ1GWpOD/eEQ97k66aiEVpNnapVj90/+R+SXTPYGHpYBBypfKJEQjLrvMZ7YXbKm21gXd4NcuxUTjiv1YtLng=="
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
23
sample.lua
23
sample.lua
@ -35,9 +35,21 @@ cmd:option('-verbose',1,'set to 0 to ONLY print the sampled text, no diagnostics
|
|||||||
cmd:option('-stop','\n\n\n\n\n','stop sampling when detected')
|
cmd:option('-stop','\n\n\n\n\n','stop sampling when detected')
|
||||||
cmd:text()
|
cmd:text()
|
||||||
|
|
||||||
|
|
||||||
|
|
||||||
-- parse input params
|
-- parse input params
|
||||||
opt = cmd:parse(arg)
|
opt = cmd:parse(arg)
|
||||||
|
|
||||||
|
fileInput = io.open("D:\\Work\\nodejsprojects\\rnn-chat-backend\\input.txt", 'r')
|
||||||
|
oneLine = fileInput:read()
|
||||||
|
|
||||||
|
opt.primetext = string.gsub(oneLine, "\n", "")
|
||||||
|
|
||||||
|
fileInput:close()
|
||||||
|
|
||||||
|
--opt.primetext = "恍恍惚惚"
|
||||||
|
|
||||||
|
|
||||||
-- gated print: simple utility function wrapping a print
|
-- gated print: simple utility function wrapping a print
|
||||||
function gprint(str)
|
function gprint(str)
|
||||||
if opt.verbose == 1 then print(str) end
|
if opt.verbose == 1 then print(str) end
|
||||||
@ -64,7 +76,7 @@ torch.manualSeed(opt.seed)
|
|||||||
if not lfs.attributes(opt.model, 'mode') then
|
if not lfs.attributes(opt.model, 'mode') then
|
||||||
gprint('Error: File ' .. opt.model .. ' does not exist. Are you sure you didn\'t forget to prepend cv/ ?')
|
gprint('Error: File ' .. opt.model .. ' does not exist. Are you sure you didn\'t forget to prepend cv/ ?')
|
||||||
end
|
end
|
||||||
checkpoint = torch.load(opt.model)
|
checkpoint = torch.load(opt.model, 'ascii')
|
||||||
protos = checkpoint.protos
|
protos = checkpoint.protos
|
||||||
protos.rnn:evaluate() -- put in eval mode so that dropout works properly
|
protos.rnn:evaluate() -- put in eval mode so that dropout works properly
|
||||||
|
|
||||||
@ -110,6 +122,9 @@ function get_char(str)
|
|||||||
left = left + i
|
left = left + i
|
||||||
unordered[#unordered+1] = tmpString
|
unordered[#unordered+1] = tmpString
|
||||||
end
|
end
|
||||||
|
|
||||||
|
print("get_char wordlen" .. wordLen)
|
||||||
|
|
||||||
return unordered
|
return unordered
|
||||||
end
|
end
|
||||||
|
|
||||||
@ -173,5 +188,11 @@ for i=1, opt.length do
|
|||||||
if string.find(result, opt.stop) then break end
|
if string.find(result, opt.stop) then break end
|
||||||
end
|
end
|
||||||
io.write(result)
|
io.write(result)
|
||||||
|
|
||||||
|
|
||||||
|
fd = io.open('C:\\Users\\MACHENIKE\\Downloads\\char-rnn-chinese-master\\temp.txt', 'w')
|
||||||
|
fd:write(result)
|
||||||
|
fd:close()
|
||||||
|
|
||||||
io.write('\n') io.flush()
|
io.write('\n') io.flush()
|
||||||
|
|
||||||
|
1
temp.txt
Executable file
1
temp.txt
Executable file
@ -0,0 +1 @@
|
|||||||
|
,或者同你们病要,我也要递一个,我也想不到这里来,并不是这个名姓。”秋纹笑道:“原来这样,我们小姐和二家商议话叫我情儿. "凤姐笑话也还说:“宝兄弟。”湘莲道:“是外头有人做你.他就是有那么一到的,我一天的糊涂了,说了多穿鲜鹿丸去.这今分一半好,才好了,可见我这么个手心。”
|
29
train.lua
29
train.lua
@ -70,10 +70,35 @@ cmd:option('-decay_ss', 0.005, 'ss amount decay rate of each epoch')
|
|||||||
cmd:option('-min_ss', 0.9, 'minimum amount of truth data to be given to the model when using ss')
|
cmd:option('-min_ss', 0.9, 'minimum amount of truth data to be given to the model when using ss')
|
||||||
cmd:text()
|
cmd:text()
|
||||||
|
|
||||||
|
|
||||||
-- parse input params
|
-- parse input params
|
||||||
opt = cmd:parse(arg)
|
opt = cmd:parse(arg)
|
||||||
torch.manualSeed(opt.seed)
|
torch.manualSeed(opt.seed)
|
||||||
math.randomseed(opt.seed)
|
math.randomseed(opt.seed)
|
||||||
|
|
||||||
|
|
||||||
|
-- Xperimental -- Vladislav Khorev vladislav.khorev@fishrungames.com/oxford-cs-ml-2015/practical6
|
||||||
|
|
||||||
|
|
||||||
|
--[[
|
||||||
|
opt.rnn_size = 16
|
||||||
|
opt.gpuid = -1
|
||||||
|
opt.seq_length = 2
|
||||||
|
opt.batch_size = 2
|
||||||
|
opt.data_dir='data/hongloumeng'
|
||||||
|
opt.num_layers = 1
|
||||||
|
]]
|
||||||
|
|
||||||
|
|
||||||
|
opt.min_freq = 10
|
||||||
|
opt.rnn_size = 512
|
||||||
|
opt.gpuid = 0
|
||||||
|
opt.seq_length = 50
|
||||||
|
opt.batch_size = 50
|
||||||
|
opt.data_dir='data/hongloumeng'
|
||||||
|
opt.num_layers = 2
|
||||||
|
|
||||||
|
|
||||||
-- train / val / test split for data, in fractions
|
-- train / val / test split for data, in fractions
|
||||||
local test_frac = math.max(0, 1 - (opt.train_frac + opt.val_frac))
|
local test_frac = math.max(0, 1 - (opt.train_frac + opt.val_frac))
|
||||||
local split_sizes = {opt.train_frac, opt.val_frac, test_frac}
|
local split_sizes = {opt.train_frac, opt.val_frac, test_frac}
|
||||||
@ -126,7 +151,7 @@ if not path.exists(opt.checkpoint_dir) then lfs.mkdir(opt.checkpoint_dir) end
|
|||||||
local do_random_init = true
|
local do_random_init = true
|
||||||
if string.len(opt.init_from) > 0 then
|
if string.len(opt.init_from) > 0 then
|
||||||
print('loading an LSTM from checkpoint ' .. opt.init_from)
|
print('loading an LSTM from checkpoint ' .. opt.init_from)
|
||||||
local checkpoint = torch.load(opt.init_from)
|
local checkpoint = torch.load(opt.init_from, 'ascii')
|
||||||
protos = checkpoint.protos
|
protos = checkpoint.protos
|
||||||
-- make sure the vocabs are the same
|
-- make sure the vocabs are the same
|
||||||
local vocab_compatible = true
|
local vocab_compatible = true
|
||||||
@ -357,7 +382,7 @@ for i = 1, iterations do
|
|||||||
checkpoint.i = i
|
checkpoint.i = i
|
||||||
checkpoint.epoch = epoch
|
checkpoint.epoch = epoch
|
||||||
checkpoint.vocab = loader.vocab_mapping
|
checkpoint.vocab = loader.vocab_mapping
|
||||||
torch.save(savefile, checkpoint)
|
torch.save(savefile, checkpoint, 'ascii')
|
||||||
end
|
end
|
||||||
|
|
||||||
if i % opt.print_every == 0 then
|
if i % opt.print_every == 0 then
|
||||||
|
8
util/CharSplitLMMinibatchLoader.lua
Normal file → Executable file
8
util/CharSplitLMMinibatchLoader.lua
Normal file → Executable file
@ -39,8 +39,8 @@ function CharSplitLMMinibatchLoader.create(data_dir, batch_size, seq_length, spl
|
|||||||
end
|
end
|
||||||
|
|
||||||
print('loading data files...')
|
print('loading data files...')
|
||||||
local data = torch.load(tensor_file)
|
local data = torch.load(tensor_file, 'ascii')
|
||||||
self.vocab_mapping = torch.load(vocab_file)
|
self.vocab_mapping = torch.load(vocab_file, 'ascii')
|
||||||
|
|
||||||
-- cut off the end so that it divides evenly
|
-- cut off the end so that it divides evenly
|
||||||
local len = data:size(1)
|
local len = data:size(1)
|
||||||
@ -226,9 +226,9 @@ function CharSplitLMMinibatchLoader.text_to_tensor(in_textfile, out_vocabfile, o
|
|||||||
|
|
||||||
-- save output preprocessed files
|
-- save output preprocessed files
|
||||||
print('saving ' .. out_vocabfile)
|
print('saving ' .. out_vocabfile)
|
||||||
torch.save(out_vocabfile, vocab_mapping)
|
torch.save(out_vocabfile, vocab_mapping, 'ascii')
|
||||||
print('saving ' .. out_tensorfile)
|
print('saving ' .. out_tensorfile)
|
||||||
torch.save(out_tensorfile, data)
|
torch.save(out_tensorfile, data, 'ascii')
|
||||||
end
|
end
|
||||||
|
|
||||||
return CharSplitLMMinibatchLoader
|
return CharSplitLMMinibatchLoader
|
||||||
|
0
util/JSON.lua
Normal file → Executable file
0
util/JSON.lua
Normal file → Executable file
0
util/OneHot.lua
Normal file → Executable file
0
util/OneHot.lua
Normal file → Executable file
0
util/misc.lua
Normal file → Executable file
0
util/misc.lua
Normal file → Executable file
0
util/model_utils.lua
Normal file → Executable file
0
util/model_utils.lua
Normal file → Executable file
@ -36,7 +36,7 @@ end
|
|||||||
if not lfs.attributes(model_file, 'mode') then
|
if not lfs.attributes(model_file, 'mode') then
|
||||||
print('Error: File ' .. model_file .. ' does not exist.')
|
print('Error: File ' .. model_file .. ' does not exist.')
|
||||||
end
|
end
|
||||||
checkpoint = torch.load(model_file)
|
checkpoint = torch.load(model_file, 'ascii')
|
||||||
protos = checkpoint.protos
|
protos = checkpoint.protos
|
||||||
protos.rnn:evaluate() -- put in eval mode so that dropout works properly
|
protos.rnn:evaluate() -- put in eval mode so that dropout works properly
|
||||||
|
|
||||||
|
Loading…
Reference in New Issue
Block a user