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WIP Indexing autograd and tests, new loss functions #47

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@syurkevi syurkevi commented Oct 1, 2018

Adds new indexing functions to address #43. Theses are needed to implement Losses ans SVM from #34 and #6 those changes are next in line.
Operator overloading currently avoided in favor of new select_index () and set_index functions(). Will change to preferred solution as part of review.
Also brings in google test framework for testing. examples/autograd.cpp has been converted to (non-comprehensive) tests.

@@ -44,6 +44,8 @@ namespace af {
Variable operator <=(const Variable &lhs, const double &rhs);

Variable operator !(const Variable &input);
Variable select_index(const Variable &input, const Variable &idx);
Variable set_index(const Variable &input, const Variable &idx, const Variable &vals);
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I think lookup and assign are better. Or go withgather vs scatter like tensorflow.


auto grad_func = [](std::vector<Variable> &inputs, const Variable &grad_output) {
auto grad = inputs[2].array();
auto grad_mask = af::where(grad);
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Why are you converting idx into a mask and converting it back into an index again? This is making unnecessary copies.


inputs[0].addGrad(Variable(grad, false));
};
return Variable(result, {input, idx, Variable(mask, false)}, grad_func);
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You only need idx or mask. Not both.

auto grad_func = [](std::vector<Variable> &inputs, const Variable &grad_output) {
inputs[0].addGrad(inputs[3] * grad_output);
};
return Variable(result, {input, idx, vals, Variable(mask, false)}, grad_func);
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It is better to use just index and do the masking inside the grad_func. No reason to do the masking op until it is necessary.

if(PACKAGE_TESTS)
enable_testing()
add_subdirectory(tests)
endif()
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You can avoid creating a separate option PACKAGE_TESTS. gtest automatically addes BUILD_TESTING which you can use.

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3 participants