I tried to build a function returning the gradients of shared variables in
theano. However, the function returned output that was not numpy array
but pygpu.gpuarray.GpuArray. How can I deal with this problem?
Here is my function:
--------------------------------------------------------------------------------------------------------------------------
cost = classifier.negative_log_likelihood(answer, answer_mask)
grads = T.grad(cost, itemlist(classifier.tparams))
optim = optimizer()
updates = optim(itemlist(classifier.tparams), grads)
# out_grads = [grad for grad in grads]
grads_check = theano.function(
inputs=[],
outputs=grads,
givens={
img: shared_img, ques: shared_ques_casted, ans: shared_ans_casted[:-1],
m_ques: shared_m_ques, m_ans: shared_m_ans[:-1],
answer: shared_ans_casted[1:], answer_mask: shared_m_ans[1:]
}
)
----------------------------------------------------------------------------------------------------------------------------
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