Commit 58acbe2a authored by Michael Goette's avatar Michael Goette

Extension HTNetworks, Tests running!

parent a8222295
Pipeline #1023 failed with stages
in 9 minutes and 9 seconds
......@@ -574,16 +574,16 @@ namespace xerus {
/*- - - - - - - - - - - - - - - - - - - - - - - - - - Operator specializations - - - - - - - - - - - - - - - - - - - - - - - - - - */
static bool specialized_contraction_f(std::unique_ptr<internal::IndexedTensorMoveable<TensorNetwork>>& _out, internal::IndexedTensorReadOnly<TensorNetwork>&& _me, internal::IndexedTensorReadOnly<TensorNetwork>&& _other);
// static bool specialized_sum_f(std::unique_ptr<internal::IndexedTensorMoveable<TensorNetwork>>& _out, internal::IndexedTensorReadOnly<TensorNetwork>&& _me, internal::IndexedTensorReadOnly<TensorNetwork>&& _other);
static bool specialized_sum_f(std::unique_ptr<internal::IndexedTensorMoveable<TensorNetwork>>& _out, internal::IndexedTensorReadOnly<TensorNetwork>&& _me, internal::IndexedTensorReadOnly<TensorNetwork>&& _other);
virtual bool specialized_contraction(std::unique_ptr<internal::IndexedTensorMoveable<TensorNetwork>>& _out, internal::IndexedTensorReadOnly<TensorNetwork>&& _me, internal::IndexedTensorReadOnly<TensorNetwork>&& _other) const override {
return specialized_contraction_f(_out, std::move(_me), std::move(_other));
}
//
// virtual bool specialized_sum(std::unique_ptr<internal::IndexedTensorMoveable<TensorNetwork>>& _out, internal::IndexedTensorReadOnly<TensorNetwork>&& _me, internal::IndexedTensorReadOnly<TensorNetwork>&& _other) const override {
// return specialized_sum_f(_out, std::move(_me), std::move(_other));
// }
//
virtual bool specialized_sum(std::unique_ptr<internal::IndexedTensorMoveable<TensorNetwork>>& _out, internal::IndexedTensorReadOnly<TensorNetwork>&& _me, internal::IndexedTensorReadOnly<TensorNetwork>&& _other) const override {
return specialized_sum_f(_out, std::move(_me), std::move(_other));
}
virtual void specialized_evaluation(internal::IndexedTensorWritable<TensorNetwork>&& _me, internal::IndexedTensorReadOnly<TensorNetwork>&& _other) override;
};
......
......@@ -56,7 +56,7 @@ namespace xerus {
HTStack& operator= ( HTStack&& _other) = delete;
// explicit operator HTNetwork<isOperator>();
explicit operator HTNetwork<isOperator>();
virtual void operator*=(const value_t _factor) override;
......
......@@ -94,68 +94,71 @@ static misc::UnitTest ht_real_diff("HT", "real_difference", [](){
Index i;
htC(i&0) = htA(i&0) - htA(i&0);
MTEST(frob_norm(htC(i&0)) < 1e-11, "1 " << frob_norm(htC(i&0)));
MTEST(frob_norm(htC(i&0)) < 1e-9, "1 " << frob_norm(htC(i&0)));
htC(i&0) = htB(i&0) - htB(i&0);
MTEST(frob_norm(htC(i&0)) < 1e-11, "2 " << frob_norm(htC(i&0)));
MTEST(frob_norm(htC(i&0)) < 1e-9, "2 " << frob_norm(htC(i&0)));
htC(i&0) = (htA(i&0) + htB(i&0)) - (htA(i&0) + htB(i&0));
MTEST(frob_norm(htC(i&0)) < 1e-11, "3 " << frob_norm(htC(i&0)));
MTEST(frob_norm(htC(i&0)) < 1e-9, "3 " << frob_norm(htC(i&0)));
// htC(i&0) = (htA(i&0) + htB(i&0));
// TEST(htC.ranks() == std::vector<size_t>({8,8,8,8}));
// ttC(i&0) = (ttB(i&0) + ttA(i&0));
// TEST(ttC.ranks() == std::vector<size_t>({8,8,8,8}));
htC(i&0) = (htA(i&0) + htB(i&0));
TEST(htC.ranks() == std::vector<size_t>({ 8, 8, 8, 8, 8, 1, 8, 8, 8, 8, 8, 1, 1, 1 }));
htC(i&0) = (htB(i&0) + htA(i&0));
TEST(htC.ranks() == std::vector<size_t>({ 8, 8, 8, 8, 8, 1, 8, 8, 8, 8, 8, 1, 1, 1 }));
htC(i&0) = (htA(i&0) + htB(i&0)) - (htB(i&0) + htA(i&0));
MTEST(frob_norm(htC(i&0)) < 1e-11, "4 " << frob_norm(htC(i&0)));
MTEST(frob_norm(htC(i&0)) < 1e-9, "4 " << frob_norm(htC(i&0)));
htC(i&0) = (73*htA(i&0) + htB(i&0)) - (htB(i&0) + 73*htA(i&0));
MTEST(frob_norm(htC(i&0)) < 1e-9, "5 " << frob_norm(htC(i&0)));
MTEST(frob_norm(htC(i&0)) < 1e-7, "5 " << frob_norm(htC(i&0)));
htA = HTTensor::random({10,10,10,10,10}, {2,5,7,2,4,4,3,6,5,2,4});
htC(i&0) = htA(i&0) - htA(i&0);
MTEST(frob_norm(htC(i&0)) < 1e-11, "6 " << frob_norm(htC(i&0)));
MTEST(frob_norm(htC(i&0)) < 1e-9, "6 " << frob_norm(htC(i&0)));
htC(i&0) = htB(i&0) - htB(i&0);
MTEST(frob_norm(htC(i&0)) < 1e-11, "7 " << frob_norm(htC(i&0)));
MTEST(frob_norm(htC(i&0)) < 1e-9, "7 " << frob_norm(htC(i&0)));
htC(i&0) = (htA(i&0) + htB(i&0)) - (htA(i&0) + htB(i&0));
MTEST(frob_norm(htC(i&0)) < 1e-11, "8 " << frob_norm(htC(i&0)));
MTEST(frob_norm(htC(i&0)) < 1e-9, "8 " << frob_norm(htC(i&0)));
htC(i&0) = (htA(i&0) + htB(i&0)) - (htB(i&0) + htA(i&0));
MTEST(frob_norm(htC(i&0)) < 1e-11, "9 " << frob_norm(htC(i&0)));
MTEST(frob_norm(htC(i&0)) < 1e-9, "9 " << frob_norm(htC(i&0)));
htC(i&0) = (73*htA(i&0) + htB(i&0)) - (htB(i&0) + 73*htA(i&0));
MTEST(frob_norm(htC(i&0)) < 5e-10, "10 " << frob_norm(htC(i&0)));
MTEST(frob_norm(htC(i&0)) < 1e-8, "10 " << frob_norm(htC(i&0)));
});
//
//static misc::UnitTest tt_diff_stacks("TT", "difference_of_TTStacks", [](){
// TTOperator ttO = TTOperator::random({10,10,10,10,10,10,10,10,10,10}, {4,4,4,4});
// TTTensor ttA = TTTensor::random({10,10,10,10,10}, {4,4,4,4});
// TTTensor ttB = TTTensor::random({10,10,10,10,10}, {4,4,4,4});
// TTTensor ttC;
//
// Index i,j,k;
// ttC(i&0) = ttO(i/2, j/2)*ttA(j&0) - ttO(i/2, j/2)*ttA(j&0);
// LOG(unit_tests, "Frob norm 1 " << frob_norm(ttC(i&0)));
// TEST(frob_norm(ttC(i&0)) < 1e-7);
//
// ttC(i&0) = ttO(i/2, j/2)*ttB(j&0) - ttO(i/2, j/2)*ttB(j&0);
// LOG(unit_tests, "Frob norm 2 " << frob_norm(ttC(i&0)));
// TEST(frob_norm(ttC(i&0)) < 1e-7);
//});
//
//static misc::UnitTest tt_stack_norm("TT", "ttStacks_frob_norm", [](){
static misc::UnitTest ht_diff_stacks("HT", "difference_of_HTStacks", [](){
HTOperator htO = HTOperator::random({10,10,10,10,10,10,10,10}, {4,4,4,4,4,4});
HTTensor htA = HTTensor::random({10,10,10,10}, {4,4,4,4,4,4});
HTTensor htB = HTTensor::random({10,10,10,10}, {4,4,4,4,4,4});
HTTensor htC;
Index i,j,k;
htC(i&0) = htO(i/2, j/2)*htA(j&0) - htO(i/2, j/2)*htA(j&0);
LOG(unit_tests, "Frob norm 1 " << frob_norm(htC(i&0)));
TEST(frob_norm(htC(i&0)) < 1e-7);
htC(i&0) = htO(i/2, j/2)*htB(j&0) - htO(i/2, j/2)*htB(j&0);
LOG(unit_tests, "Frob norm 2 " << frob_norm(htC(i&0)));
TEST(frob_norm(htC(i&0)) < 1e-7);
});
//static misc::UnitTest ht_stack_norm("HT", "htStacks_frob_norm", [](){
// const Index i, j, k;
//
// TTOperator ttO1 = TTOperator::identity({10,10,10,10,10,10,10,10,10,10});
// TTOperator ttO2 = TTOperator::identity({10,10,10,10,10,10,10,10,10,10});
// HTOperator htO1 = HTOperator::identity({10,10,10,10,10,10,10,10,10,10});
// HTOperator htO2 = HTOperator::identity({10,10,10,10,10,10,10,10,10,10});
//
// MTEST(misc::approx_equal(frob_norm(ttO1(i&0)*ttO2(i&0)), double(misc::pow(10, 5))), frob_norm(ttO1(i&0)*ttO2(i&0)) << " vs " << misc::pow(10, 5));
// MTEST(misc::approx_equal(frob_norm(htO1(i&0)*htO2(i&0)), double(misc::pow(10, 5))), frob_norm(htO1(i&0)*htO2(i&0)) << " vs " << misc::pow(10, 5));
//
// TEST(misc::approx_equal(frob_norm(ttO1(i/2, j/2)*ttO2(j/2, k/2)), std::sqrt(misc::pow(10, 5))));
// TEST(misc::approx_equal(frob_norm(htO1(i/2, j/2)*htO2(j/2, k/2)), std::sqrt(misc::pow(10, 5))));
//});
//
static misc::UnitTest ht_spec_sumdiff("HT", "special_sum_diff", [](){
Tensor A({10,10,10,10}); // NOTE that this is the 0 tensor
Tensor B = Tensor::random({10,10,10,10});
......
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