Intel® Distribution of OpenVINO™ Toolkit
Community assistance about the Intel® Distribution of OpenVINO™ toolkit, OpenCV, and all aspects of computer vision-related on Intel® platforms.

tf.layers.conv2d raises mvncStatus.TIMEOUT

idata
Employee
624 Views

Hi there.

 

I encountered mvncStatus.TIMEOUT when I'm trying to run 1d version of pix2pix model.

 

Following is a minimum model that reproduce the error.

 

input shape is [1, 1, 1024, 1]

 

Removing 2nd conv2d will not raise error.

 

Changing stride (1,1) -> (2,2) will not raise error too.

 

Would anyone tell me how to solve this problem?

 

def create_generator(input): with tf.variable_scope("encoder"): ini = tf.random_normal_initializer(0, 0.02) out = tf.layers.conv2d(input, 2, kernel_size=[1,4], strides=(1, 2), padding="same", kernel_initializer=ini) out = tf.layers.conv2d(out, 4, kernel_size=[1,4], strides=(1, 2), padding="same", kernel_initializer=ini) return out

 

I put complete code of minimum reproduction here

 

https://github.com/hamling-ling/MovidiusTimeout

 

and this is how to reproduce

 

git clone https://github.com/hamling-ling/MovidiusTimeout cd MovidiusTimeout ./repro.sh
0 Kudos
0 Replies
Reply