Hi all,
I tried to get the gradients from Theano in numpy type. But, when I defined
the function, it returned pygpu.gpuarray.GpuArray. How can I solve this
problem?
Here is my function:
----------------------------------------------------------------------------------------------------------------------------
cost = classifier.negative_log_likelihood(answer, answer_mask)
grads = T.grad(cost, list(classifier.tparams.values()))
optim = optimizer()
# updates = optim(itemlist(classifier.tparams), grads)
train_model = theano.function(
inputs=[],
outputs=[cost] + grads,
# updates=updates,
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:]
}
)
test_model = theano.function(
inputs=[],
outputs=classifier.samples(length_answer-1),
givens={
img: shared_img, ques: shared_ques_casted,
m_ques: shared_m_ques
}
)
------------------------------------------------------------------------------------------------------------------------------
Here is the type of the returned gradients (the first one is in numpy type
but the other are not):
<type 'numpy.ndarray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
<type 'pygpu.gpuarray.GpuArray'>
Thank you in advance
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