Cannot assign a device to node about prettytensor

[rns4731]

Alternatively, you could let tensorflow pick which nodes to put it on with:
with tf.Session(config=tf.ConfigProto(
allow_soft_placement=True, log_device_placement=True)) as sess:

[eiderman]

I was able to reproduce the bug and the fix was to assign a device to the problem operation:

with tf.device('/cpu:0'):
data.embedding_lookup(...)

[eiderman]

sorry, errant click.

The basic problem is that it is trying to force a non-gpu op onto a GPU. I will see where the problem is coming from.

[fmkazemi]

I encountered this problem on Tensorflow-gpu 1.8 and Tensorflow-gpu 1.5 on GPU clusters but I didn't get this issue after installing Tensorflow-gpu 1.0.1.
Also, the code below was used on all tests.
config = tf.ConfigProto()
config.gpu_options.allocator_type = 'BFC'
config.gpu_options.allow_growth = True
with tf.Session(config=tf.ConfigProto(allow_soft_placement=True, log_device_placement=True)) as sess:

[Bella31]

Actually, the problem was in my code. It turned out that I called Saver in "with tf.device(device)" clause. When I put it under "with tf.Session(config=tf.ConfigProto(allow_soft_placement=True))" it was resolved

[eiderman]

Thanks for the bug report. I won't be able to reproduce this until I get to a computer with the proper version of cuda. The problem is basically that

[mschonwe]

Thanks - works now.

[abaybektursun]

@nistala Thank you. I must have missed this in the documentation.
"If you would like TensorFlow to automatically choose an existing and supported device to run the operations in case the specified one doesn't exist, you can set allow_soft_placement to True in the configuration option when creating the session."

[Bella31]

Encountered a similar problem with Tensorflow-gpu 1.8 with the function save/SaveV2.
I get the error "Could not satisfy explicit device specification '/device:GPU:0' because no supported kernel for GPU devices is available." even though I specify in my session:
config=tf.ConfigProto(allow_soft_placement=True)

[lucaswu]

@Bella31 , have you fixed this problem. I have the same problem. Thanks.

[Bella31]

No, I didn't, also will be happy to hear if there is a solution.

[RayXu14]

I think giving using InteractiveSession might help. It seems that use Session and that operation can be done on gpu.