No OpKernel was registered to support Op 'Conv2D' with these attrs
<p>new to this may be something dumb but cant get conv2d to run</p>

<hr>

<p>windows 10</p>

<p>anaconda 4.2.13</p>

<p>python 3.5.2 </p>

<p>C:\windows\system32>nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2016 NVIDIA Corporation
Built on Sat_Sep__3_19:05:48_CDT_2016
Cuda compilation tools, release 8.0, V8.0.44</p>

<p>cudnn 5.1</p>

<p>TensorFlow 0.12</p>

<hr>

<pre><code>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()
</code></pre>

<p>results in:</p>

<pre><code>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)]]
</code></pre>