在已建立的 theano 环境中使用 keras 时出现奇怪的错误
strange error when using keras on established theano enviorment
我已经在 windows 上基于 official tutorial 安装了 theano，在我 运行 之后，测试代码：
from theano import function, config, shared, sandbox
import theano.tensor as T
import numpy
import time
vlen = 10 * 30 * 768 # 10 x #cores x # threads per core
iters = 1000
rng = numpy.random.RandomState(22)
x = shared(numpy.asarray(rng.rand(vlen), config.floatX))
f = function([], T.exp(x))
print(f.maker.fgraph.toposort())
t0 = time.time()
for i in range(iters):
r = f()
t1 = time.time()
print("Looping %d times took %f seconds" % (iters, t1 - t0))
print("Result is %s" % (r,))
if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]):
print('Used the cpu')
else:
print('Used the gpu')
结果很好：
runfile('C:/SciSoft/my_code/untitled0.py', wdir='C:/SciSoft/my_code')
[GpuElemwise{exp,no_inplace}(<CudaNdarrayType(float32, vector)>), HostFromGpu(GpuElemwise{exp,no_inplace}.0)]
Looping 1000 times took 0.772000 seconds
Result is [ 1.23178029 1.61879349 1.52278066 ..., 2.20771813 2.29967761
1.62323296]
Used the gpu
但是当我 运行 keras 包中用于文本生成的 LSTM 示例时：
from __future__ import print_function
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Dropout
from keras.layers.recurrent import LSTM
#from keras.utils.data_utils import get_file
import numpy as np
import random
import sys
#path = get_file('nietzsche.txt', origin="https://s3.amazonaws.com/text-datasets/nietzsche.txt")
text = open("C:\SciSoft\my_code\train.txt").read().lower()
print('corpus length:', len(text))
chars = set(text)
print('total chars:', len(chars))
char_indices = dict((c, i) for i, c in enumerate(chars))
indices_char = dict((i, c) for i, c in enumerate(chars))
# cut the text in semi-redundant sequences of maxlen characters
maxlen = 40
step = 3
sentences = []
next_chars = []
for i in range(0, len(text) - maxlen, step):
sentences.append(text[i: i + maxlen])
next_chars.append(text[i + maxlen])
print('nb sequences:', len(sentences))
print('Vectorization...')
X = np.zeros((len(sentences), maxlen, len(chars)), dtype=np.bool)
y = np.zeros((len(sentences), len(chars)), dtype=np.bool)
for i, sentence in enumerate(sentences):
for t, char in enumerate(sentence):
X[i, t, char_indices[char]] = 1
y[i, char_indices[next_chars[i]]] = 1
# build the model: 2 stacked LSTM
print('Build model...')
model = Sequential()
model.add(LSTM(512, return_sequences=True, input_shape=(maxlen, len(chars))))
model.add(Dropout(0.2))
model.add(LSTM(512, return_sequences=False))
model.add(Dropout(0.2))
model.add(Dense(len(chars)))
model.add(Activation('softmax'))
model.compile(loss='categorical_crossentropy', optimizer='rmsprop')
def sample(a, temperature=1.0):
# helper function to sample an index from a probability array
a = np.log(a) / temperature
a = np.exp(a) / np.sum(np.exp(a))
return np.argmax(np.random.multinomial(1, a, 1))
# train the model, output generated text after each iteration
for iteration in range(1, 60):
print()
print('-' * 50)
print('Iteration', iteration)
model.fit(X, y, batch_size=128, nb_epoch=1)
start_index = random.randint(0, len(text) - maxlen - 1)
for diversity in [0.2, 0.5, 1.0, 1.2]:
print()
print('----- diversity:', diversity)
generated = ''
sentence = text[start_index: start_index + maxlen]
generated += sentence
print('----- Generating with seed: "' + sentence + '"')
sys.stdout.write(generated)
for i in range(400):
x = np.zeros((1, maxlen, len(chars)))
for t, char in enumerate(sentence):
x[0, t, char_indices[char]] = 1.
preds = model.predict(x, verbose=0)[0]
next_index = sample(preds, diversity)
next_char = indices_char[next_index]
generated += next_char
sentence = sentence[1:] + next_char
sys.stdout.write(next_char)
sys.stdout.flush()
print()
它returns错误信息：
Problem occurred during compilation with the command line below:
C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\..\tools\mingw32\bin\g++.exe -shared -g -O3 -fno-math-errno -Wno-unused-label -Wno-unused-variable -Wno-write-strings -IC:\SciSoft\TDM-GCC-64\x86_64-w64-mingw32 -march=sandybridge -mmmx -mno-3dnow -msse -msse2 -msse3 -mssse3 -mno-sse4a -mcx16 -msahf -mno-movbe -maes -mno-sha -mpclmul -mpopcnt -mno-abm -mno-lwp -mno-fma -mno-fma4 -mno-xop -mno-bmi -mno-bmi2 -mno-tbm -mavx -mno-avx2 -msse4.2 -msse4.1 -mno-lzcnt -mno-rtm -mno-hle -mno-rdrnd -mno-f16c -mno-fsgsbase -mno-rdseed -mno-prfchw -mno-adx -mfxsr -mxsave -mxsaveopt -mno-avx512f -mno-avx512er -mno-avx512cd -mno-avx512pf -mno-prefetchwt1 --param l1-cache-size=32 --param l1-cache-line-size=64 --param l2-cache-size=6144 -mtune=sandybridge -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -m64 -DMS_WIN64 -IC:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\numpy\core\include -IC:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\include -IC:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof -o C:\Users\Administrator\AppData\Local\Theano\compiledir_Windows-7-6.1.7601-SP1-Intel64_Family_6_Model_42_Stepping_7_GenuineIntel-2.7.9-64\tmpuhl6sz\cdb0b986639740d2acf156f042fe37d2.pyd C:\Users\Administrator\AppData\Local\Theano\compiledir_Windows-7-6.1.7601-SP1-Intel64_Family_6_Model_42_Stepping_7_GenuineIntel-2.7.9-64\tmpuhl6sz\mod.cpp -LC:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\libs -LC:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64 -lpython27
Traceback (most recent call last):
File "<ipython-input-5-094398225b1f>", line 1, in <module>
runfile('C:/SciSoft/WinPython-64bit-2.7.9.4/settings/.spyder2/temp.py', wdir='C:/SciSoft/WinPython-64bit-2.7.9.4/settings/.spyder2')
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 682, in runfile
execfile(filename, namespace)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 71, in execfile
exec(compile(scripttext, filename, 'exec'), glob, loc)
File "C:/SciSoft/WinPython-64bit-2.7.9.4/settings/.spyder2/temp.py", line 52, in <module>
model.add(Dropout(0.2))
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\models.py", line 142, in add
output_tensor = layer(self.outputs[0])
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\engine\topology.py", line 485, in __call__
self.add_inbound_node(inbound_layers, node_indices, tensor_indices)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\engine\topology.py", line 543, in add_inbound_node
Node.create_node(self, inbound_layers, node_indices, tensor_indices)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\engine\topology.py", line 148, in create_node
output_tensors = to_list(outbound_layer.call(input_tensors[0], mask=input_masks[0]))
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\layers\core.py", line 87, in call
x = K.in_train_phase(K.dropout(x, level=self.p), x)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\backend\theano_backend.py", line 773, in dropout
x *= rng.binomial(x.shape, p=retain_prob, dtype=x.dtype)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\sandbox\rng_mrg.py", line 1359, in binomial
x = self.uniform(size=size, dtype=dtype, nstreams=nstreams)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\sandbox\rng_mrg.py", line 1321, in uniform
rstates = self.get_substream_rstates(nstreams, dtype)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\sandbox\rng_mrg.py", line 1223, in get_substream_rstates
multMatVect(rval[0], A1p72, M1, A2p72, M2)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\sandbox\rng_mrg.py", line 64, in multMatVect
[A_sym, s_sym, m_sym, A2_sym, s2_sym, m2_sym], o, profile=False)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\compile\function.py", line 320, in function
output_keys=output_keys)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\compile\pfunc.py", line 479, in pfunc
output_keys=output_keys)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\compile\function_module.py", line 1777, in orig_function
defaults)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\compile\function_module.py", line 1641, in create
input_storage=input_storage_lists, storage_map=storage_map)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\link.py", line 690, in make_thunk
storage_map=storage_map)[:3]
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\vm.py", line 1003, in make_all
no_recycling))
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\op.py", line 970, in make_thunk
no_recycling)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\op.py", line 879, in make_c_thunk
output_storage=node_output_storage)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cc.py", line 1200, in make_thunk
keep_lock=keep_lock)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cc.py", line 1143, in __compile__
keep_lock=keep_lock)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cc.py", line 1595, in cthunk_factory
key=key, lnk=self, keep_lock=keep_lock)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cmodule.py", line 1142, in module_from_key
module = lnk.compile_cmodule(location)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cc.py", line 1506, in compile_cmodule
preargs=preargs)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cmodule.py", line 2204, in compile_str
(status, compile_stderr.replace('\n', '. ')))
Exception: ('The following error happened while compiling the node', DotModulo(A, s, m, A2, s2, m2), '\n', "Compilation failed (return status=1): C:/SciSoft/WinPython-64bit-2.7.9.4/tools/mingw32/bin/../lib/gcc/x86_64-w64-mingw32/4.9.2/libstdc++.a(basic_file.o):(.text$_ZN12_GLOBAL__N_1L6xwriteEiPKcx+0x29): undefined reference to `write'\r. C:/SciSoft/WinPython-64bit-2.7.9.4/tools/mingw32/bin/../lib/gcc/x86_64-w64-mingw32/4.9.2/libstdc++.a(basic_file.o):(.text$_ZNSt12__basic_fileIcE8sys_openEiSt13_Ios_Openmode+0x36): undefined reference to `fdopen'\r. C:/SciSoft/WinPython-64bit-2.7.9.4/tools/mingw32/bin/../lib/gcc/x86_64-w64-mingw32/4.9.2/../../../../x86_64-w64-mingw32/bin/ld.exe: C:/SciSoft/WinPython-64bit-2.7.9.4/tools/mingw32/bin/../lib/gcc/x86_64-w64-mingw32/4.9.2/libstdc++.a(basic_file.o): bad reloc address 0x36 in section `.text$_ZNSt12__basic_fileIcE8sys_openEiSt13_Ios_Openmode'\r. collect2.exe: error: ld returned 1 exit status\r. ", '[DotModulo(A, s, m, A2, s2, m2)]')
我对此很困惑，不知道如何解决，希望有人能帮助我，谢谢！
听起来您需要使用与 WinPython 捆绑在一起的 g++ 版本：https://groups.google.com/forum/#!topic/theano-users/x0vNYVYH_Z0。
我已经在 windows 上基于 official tutorial 安装了 theano，在我 运行 之后，测试代码：
from theano import function, config, shared, sandbox
import theano.tensor as T
import numpy
import time
vlen = 10 * 30 * 768 # 10 x #cores x # threads per core
iters = 1000
rng = numpy.random.RandomState(22)
x = shared(numpy.asarray(rng.rand(vlen), config.floatX))
f = function([], T.exp(x))
print(f.maker.fgraph.toposort())
t0 = time.time()
for i in range(iters):
r = f()
t1 = time.time()
print("Looping %d times took %f seconds" % (iters, t1 - t0))
print("Result is %s" % (r,))
if numpy.any([isinstance(x.op, T.Elemwise) for x in f.maker.fgraph.toposort()]):
print('Used the cpu')
else:
print('Used the gpu')
结果很好：
runfile('C:/SciSoft/my_code/untitled0.py', wdir='C:/SciSoft/my_code')
[GpuElemwise{exp,no_inplace}(<CudaNdarrayType(float32, vector)>), HostFromGpu(GpuElemwise{exp,no_inplace}.0)]
Looping 1000 times took 0.772000 seconds
Result is [ 1.23178029 1.61879349 1.52278066 ..., 2.20771813 2.29967761
1.62323296]
Used the gpu
但是当我 运行 keras 包中用于文本生成的 LSTM 示例时：
from __future__ import print_function
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Dropout
from keras.layers.recurrent import LSTM
#from keras.utils.data_utils import get_file
import numpy as np
import random
import sys
#path = get_file('nietzsche.txt', origin="https://s3.amazonaws.com/text-datasets/nietzsche.txt")
text = open("C:\SciSoft\my_code\train.txt").read().lower()
print('corpus length:', len(text))
chars = set(text)
print('total chars:', len(chars))
char_indices = dict((c, i) for i, c in enumerate(chars))
indices_char = dict((i, c) for i, c in enumerate(chars))
# cut the text in semi-redundant sequences of maxlen characters
maxlen = 40
step = 3
sentences = []
next_chars = []
for i in range(0, len(text) - maxlen, step):
sentences.append(text[i: i + maxlen])
next_chars.append(text[i + maxlen])
print('nb sequences:', len(sentences))
print('Vectorization...')
X = np.zeros((len(sentences), maxlen, len(chars)), dtype=np.bool)
y = np.zeros((len(sentences), len(chars)), dtype=np.bool)
for i, sentence in enumerate(sentences):
for t, char in enumerate(sentence):
X[i, t, char_indices[char]] = 1
y[i, char_indices[next_chars[i]]] = 1
# build the model: 2 stacked LSTM
print('Build model...')
model = Sequential()
model.add(LSTM(512, return_sequences=True, input_shape=(maxlen, len(chars))))
model.add(Dropout(0.2))
model.add(LSTM(512, return_sequences=False))
model.add(Dropout(0.2))
model.add(Dense(len(chars)))
model.add(Activation('softmax'))
model.compile(loss='categorical_crossentropy', optimizer='rmsprop')
def sample(a, temperature=1.0):
# helper function to sample an index from a probability array
a = np.log(a) / temperature
a = np.exp(a) / np.sum(np.exp(a))
return np.argmax(np.random.multinomial(1, a, 1))
# train the model, output generated text after each iteration
for iteration in range(1, 60):
print()
print('-' * 50)
print('Iteration', iteration)
model.fit(X, y, batch_size=128, nb_epoch=1)
start_index = random.randint(0, len(text) - maxlen - 1)
for diversity in [0.2, 0.5, 1.0, 1.2]:
print()
print('----- diversity:', diversity)
generated = ''
sentence = text[start_index: start_index + maxlen]
generated += sentence
print('----- Generating with seed: "' + sentence + '"')
sys.stdout.write(generated)
for i in range(400):
x = np.zeros((1, maxlen, len(chars)))
for t, char in enumerate(sentence):
x[0, t, char_indices[char]] = 1.
preds = model.predict(x, verbose=0)[0]
next_index = sample(preds, diversity)
next_char = indices_char[next_index]
generated += next_char
sentence = sentence[1:] + next_char
sys.stdout.write(next_char)
sys.stdout.flush()
print()
它returns错误信息：
Problem occurred during compilation with the command line below:
C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\..\tools\mingw32\bin\g++.exe -shared -g -O3 -fno-math-errno -Wno-unused-label -Wno-unused-variable -Wno-write-strings -IC:\SciSoft\TDM-GCC-64\x86_64-w64-mingw32 -march=sandybridge -mmmx -mno-3dnow -msse -msse2 -msse3 -mssse3 -mno-sse4a -mcx16 -msahf -mno-movbe -maes -mno-sha -mpclmul -mpopcnt -mno-abm -mno-lwp -mno-fma -mno-fma4 -mno-xop -mno-bmi -mno-bmi2 -mno-tbm -mavx -mno-avx2 -msse4.2 -msse4.1 -mno-lzcnt -mno-rtm -mno-hle -mno-rdrnd -mno-f16c -mno-fsgsbase -mno-rdseed -mno-prfchw -mno-adx -mfxsr -mxsave -mxsaveopt -mno-avx512f -mno-avx512er -mno-avx512cd -mno-avx512pf -mno-prefetchwt1 --param l1-cache-size=32 --param l1-cache-line-size=64 --param l2-cache-size=6144 -mtune=sandybridge -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -m64 -DMS_WIN64 -IC:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\numpy\core\include -IC:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\include -IC:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof -o C:\Users\Administrator\AppData\Local\Theano\compiledir_Windows-7-6.1.7601-SP1-Intel64_Family_6_Model_42_Stepping_7_GenuineIntel-2.7.9-64\tmpuhl6sz\cdb0b986639740d2acf156f042fe37d2.pyd C:\Users\Administrator\AppData\Local\Theano\compiledir_Windows-7-6.1.7601-SP1-Intel64_Family_6_Model_42_Stepping_7_GenuineIntel-2.7.9-64\tmpuhl6sz\mod.cpp -LC:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\libs -LC:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64 -lpython27
Traceback (most recent call last):
File "<ipython-input-5-094398225b1f>", line 1, in <module>
runfile('C:/SciSoft/WinPython-64bit-2.7.9.4/settings/.spyder2/temp.py', wdir='C:/SciSoft/WinPython-64bit-2.7.9.4/settings/.spyder2')
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 682, in runfile
execfile(filename, namespace)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 71, in execfile
exec(compile(scripttext, filename, 'exec'), glob, loc)
File "C:/SciSoft/WinPython-64bit-2.7.9.4/settings/.spyder2/temp.py", line 52, in <module>
model.add(Dropout(0.2))
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\models.py", line 142, in add
output_tensor = layer(self.outputs[0])
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\engine\topology.py", line 485, in __call__
self.add_inbound_node(inbound_layers, node_indices, tensor_indices)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\engine\topology.py", line 543, in add_inbound_node
Node.create_node(self, inbound_layers, node_indices, tensor_indices)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\engine\topology.py", line 148, in create_node
output_tensors = to_list(outbound_layer.call(input_tensors[0], mask=input_masks[0]))
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\layers\core.py", line 87, in call
x = K.in_train_phase(K.dropout(x, level=self.p), x)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\keras\backend\theano_backend.py", line 773, in dropout
x *= rng.binomial(x.shape, p=retain_prob, dtype=x.dtype)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\sandbox\rng_mrg.py", line 1359, in binomial
x = self.uniform(size=size, dtype=dtype, nstreams=nstreams)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\sandbox\rng_mrg.py", line 1321, in uniform
rstates = self.get_substream_rstates(nstreams, dtype)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\sandbox\rng_mrg.py", line 1223, in get_substream_rstates
multMatVect(rval[0], A1p72, M1, A2p72, M2)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\sandbox\rng_mrg.py", line 64, in multMatVect
[A_sym, s_sym, m_sym, A2_sym, s2_sym, m2_sym], o, profile=False)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\compile\function.py", line 320, in function
output_keys=output_keys)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\compile\pfunc.py", line 479, in pfunc
output_keys=output_keys)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\compile\function_module.py", line 1777, in orig_function
defaults)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\compile\function_module.py", line 1641, in create
input_storage=input_storage_lists, storage_map=storage_map)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\link.py", line 690, in make_thunk
storage_map=storage_map)[:3]
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\vm.py", line 1003, in make_all
no_recycling))
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\op.py", line 970, in make_thunk
no_recycling)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\op.py", line 879, in make_c_thunk
output_storage=node_output_storage)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cc.py", line 1200, in make_thunk
keep_lock=keep_lock)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cc.py", line 1143, in __compile__
keep_lock=keep_lock)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cc.py", line 1595, in cthunk_factory
key=key, lnk=self, keep_lock=keep_lock)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cmodule.py", line 1142, in module_from_key
module = lnk.compile_cmodule(location)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cc.py", line 1506, in compile_cmodule
preargs=preargs)
File "C:\SciSoft\WinPython-64bit-2.7.9.4\python-2.7.9.amd64\lib\site-packages\theano\gof\cmodule.py", line 2204, in compile_str
(status, compile_stderr.replace('\n', '. ')))
Exception: ('The following error happened while compiling the node', DotModulo(A, s, m, A2, s2, m2), '\n', "Compilation failed (return status=1): C:/SciSoft/WinPython-64bit-2.7.9.4/tools/mingw32/bin/../lib/gcc/x86_64-w64-mingw32/4.9.2/libstdc++.a(basic_file.o):(.text$_ZN12_GLOBAL__N_1L6xwriteEiPKcx+0x29): undefined reference to `write'\r. C:/SciSoft/WinPython-64bit-2.7.9.4/tools/mingw32/bin/../lib/gcc/x86_64-w64-mingw32/4.9.2/libstdc++.a(basic_file.o):(.text$_ZNSt12__basic_fileIcE8sys_openEiSt13_Ios_Openmode+0x36): undefined reference to `fdopen'\r. C:/SciSoft/WinPython-64bit-2.7.9.4/tools/mingw32/bin/../lib/gcc/x86_64-w64-mingw32/4.9.2/../../../../x86_64-w64-mingw32/bin/ld.exe: C:/SciSoft/WinPython-64bit-2.7.9.4/tools/mingw32/bin/../lib/gcc/x86_64-w64-mingw32/4.9.2/libstdc++.a(basic_file.o): bad reloc address 0x36 in section `.text$_ZNSt12__basic_fileIcE8sys_openEiSt13_Ios_Openmode'\r. collect2.exe: error: ld returned 1 exit status\r. ", '[DotModulo(A, s, m, A2, s2, m2)]')
我对此很困惑，不知道如何解决，希望有人能帮助我，谢谢！
听起来您需要使用与 WinPython 捆绑在一起的 g++ 版本：https://groups.google.com/forum/#!topic/theano-users/x0vNYVYH_Z0。