The relevant lines are:
pycall(tfJuliaInterface.pass_image_to_ff, Void,
weights, means, covs,
model.sess, model.deepdrive, model.input_tensor)
pyerr_check("pass image to ff")
def pass_image_to_ff(weights, means, covs, sess, NN, image):
feed = {NN.input_image: image, NN.is_training: False}
w, mu, cov = sess.run([NN.weights_ff, NN.mu_ff, NN.cov_ff], feed)
weights[:] = w
means[:] = mu
covs[:] = cov
On Thursday, April 14, 2016 at 11:38:29 AM UTC-7, Tim Wheeler wrote:
>
> Hello Julia users,
>
> I am using PyCall to run some Python code. I did some profiling and found
> that my time is dominated by the pycheckv macro.
> My question is whether this is normal or if there are hidden exceptions in
> my Python code that I need to worry about. pyerr_check is not revealing
> any issues.
>
>
> <https://lh3.googleusercontent.com/-IAtXaA-C3E4/Vw_jXLAvx8I/AAAAAAAABPU/bf0mNdasizMVZWq0oBCrO1IJdl383a31gCLcB/s1600/Selection_281.png>
>
>
>
> thank you,
> -Tim
>
