Keras LSTM 错误
Keras LSTM Error
当我尝试 运行 来自 keras 示例的 LSTM 文本生成器示例时出现以下错误。
异常：('The following error happened while compiling the node', DotModulo(A, s, m, A2, s2, m2), '\n', "Compilation failed (return status=1): clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-sse4a'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-tbm'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-fma4'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-prfchw'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-rdseed'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-sha'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: no such file or directory: '+cx16'. clang: error: no such file or directory: '+xsave'. clang: error: no such file or directory: '+bmi2'. clang: error: language not recognized: 'savec'. clang: error: no such file or directory: '+fsgsbase'. clang: error: no such file or directory: '+avx'. clang: error: no such file or directory: '+rtm'. clang: error: no such file or directory: '+popcnt'. clang: error: no such file or directory: '+fma'. clang: error: no such file or directory: '+bmi'. clang: error: no such file or directory: '+aes'. clang: error: no such file or directory: '+rdrnd'. clang: error: language not recognized: 'saves'. clang: error: no such file or directory: '+sse4.1'. clang: error: no such file or directory: '+sse4.2'. clang: error: no such file or directory: '+avx2'. clang: error: no such file or directory: '+sse'. clang: error: no such file or directory: '+lzcnt'. clang: error: no such file or directory: '+pclmul'. clang: error: no such file or directory: '+f16c'. clang: error: no such file or directory: '+ssse3'. clang: error: no such file or directory: '+mmx'. clang: error: no such file or directory: '+cmov'. clang: error: language not recognized: 'op'. clang: error: no such file or directory: '+movbe'. clang: error: no such file or directory: '+hle'. clang: error: no such file or directory: '+xsaveopt'. clang: error: no such file or directory: '+sse2'. clang: error: no such file or directory: '+sse3'. ", '[DotModulo(A, s, m, A2, s2, m2)]')
除了将我自己的数据传递给代码外，我没有对代码进行任何更改。这是我的代码。
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Dropout
from keras.layers.recurrent import LSTM
import numpy as np
import random
import sys
text = texts[0]
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()
请帮帮我。
这是一个与 clang 相关的错误。在 Apple 更新 xCode 工具后，我的 clang 变得与 Nvidia 的 Cuda 驱动程序不兼容。更新驱动程序解决了这个问题。如果没有可用的新更新，则需要等待更新或回滚他们的 xCode 工具。
当我尝试 运行 来自 keras 示例的 LSTM 文本生成器示例时出现以下错误。
异常：('The following error happened while compiling the node', DotModulo(A, s, m, A2, s2, m2), '\n', "Compilation failed (return status=1): clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-sse4a'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-tbm'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-fma4'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-prfchw'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-rdseed'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-sha'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: unknown argument: '-target-feature'. clang: error: no such file or directory: '+cx16'. clang: error: no such file or directory: '+xsave'. clang: error: no such file or directory: '+bmi2'. clang: error: language not recognized: 'savec'. clang: error: no such file or directory: '+fsgsbase'. clang: error: no such file or directory: '+avx'. clang: error: no such file or directory: '+rtm'. clang: error: no such file or directory: '+popcnt'. clang: error: no such file or directory: '+fma'. clang: error: no such file or directory: '+bmi'. clang: error: no such file or directory: '+aes'. clang: error: no such file or directory: '+rdrnd'. clang: error: language not recognized: 'saves'. clang: error: no such file or directory: '+sse4.1'. clang: error: no such file or directory: '+sse4.2'. clang: error: no such file or directory: '+avx2'. clang: error: no such file or directory: '+sse'. clang: error: no such file or directory: '+lzcnt'. clang: error: no such file or directory: '+pclmul'. clang: error: no such file or directory: '+f16c'. clang: error: no such file or directory: '+ssse3'. clang: error: no such file or directory: '+mmx'. clang: error: no such file or directory: '+cmov'. clang: error: language not recognized: 'op'. clang: error: no such file or directory: '+movbe'. clang: error: no such file or directory: '+hle'. clang: error: no such file or directory: '+xsaveopt'. clang: error: no such file or directory: '+sse2'. clang: error: no such file or directory: '+sse3'. ", '[DotModulo(A, s, m, A2, s2, m2)]')
除了将我自己的数据传递给代码外，我没有对代码进行任何更改。这是我的代码。
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Dropout
from keras.layers.recurrent import LSTM
import numpy as np
import random
import sys
text = texts[0]
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()
请帮帮我。
这是一个与 clang 相关的错误。在 Apple 更新 xCode 工具后，我的 clang 变得与 Nvidia 的 Cuda 驱动程序不兼容。更新驱动程序解决了这个问题。如果没有可用的新更新，则需要等待更新或回滚他们的 xCode 工具。