问题描述
这个新功能可能有些愚蠢,但无法运行conv2d
new to this may be something dumb but cant get conv2d to run
windows 10
windows 10
anaconda 4.2.13
anaconda 4.2.13
python 3.5.2
python 3.5.2
C:\ windows \ system32> nvcc --versionnvcc:NVIDIA(R)Cuda编译器驱动程序版权所有(c)2005-2016 NVIDIA Corporation建立在Sat_Sep__3_19:05:48_CDT_2016Cuda编译工具,版本8.0,V8.0.44
C:\windows\system32>nvcc --versionnvcc: NVIDIA (R) Cuda compiler driverCopyright (c) 2005-2016 NVIDIA CorporationBuilt on Sat_Sep__3_19:05:48_CDT_2016Cuda compilation tools, release 8.0, V8.0.44
cudnn 5.1
cudnn 5.1
TensorFlow 0.12
TensorFlow 0.12
import numpy as np
import tensorflow as tf
graph1 = tf.Graph()
with graph1.as_default():
f=tf.constant( np.ones(10).reshape(1,1,-1,1) )
g=tf.constant( np.ones(3).reshape(1,-1,1,1) )
conv1=tf.nn.conv2d( f,g, strides=[1,1,1,1] , padding="SAME",name="conv1")
with tf.Session(graph=graph1) as sess:
sess.run(tf.global_variables_initializer())
print(sess.run(f))
print(sess.run(g))
print(sess.run(conv1))
sess.close()
导致:
InvalidArgumentError (see above for traceback): No OpKernel was registered to support Op 'Conv2D' with these attrs. Registered devices: [CPU,GPU], Registered kernels:
device='CPU'; T in [DT_HALF]
device='CPU'; T in [DT_FLOAT]
device='GPU'; T in [DT_HALF]
device='GPU'; T in [DT_FLOAT]
[[Node: conv = Conv2D[T=DT_DOUBLE, data_format="NHWC", padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true](Const, Const_1)]]
推荐答案
您应将以下两行更改为
f=tf.constant( np.ones(10).reshape(1,1,-1,1).astype(np.float32) )
g=tf.constant( np.ones(3).reshape(1,-1,1,1).astype(np.float32) )
否则,这些节点采用默认的numpy类型float64
,该类型没有Conv2D
内核
Otherwise those nodes take on default numpy type of float64
, which doesn't have Conv2D
kernel
这篇关于没有注册任何OpKernel支持这些属性的Op'Conv2D'的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!