安装theano gpu版本

1.安装tensorflow-gpu

2.在~/.theanorc中写入

[global]
floatX = float32
device = cuda0

[lib]
cnmem = 1

[nvcc]
flags=-D_FORCE_INLINES
fastmath = True

[blas]
ldflags = -lopenblas

[cuda]
root = /usr/local/cuda-9.1/bin

[dnn]
include_path = /usr/local/cuda/include
library_path = /usr/local/cuda/lib64
           

3.测试gpu是否可用

from theano import function, config, shared, tensor
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([], tensor.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, tensor.Elemwise) and
              ('Gpu' not in type(x.op).__name__)
              for x in f.maker.fgraph.toposort()]):
    print('Used the cpu')
else:
    print('Used the gpu')