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Implement plog_complex
This commit is contained in:
committed by
Rasmus Munk Larsen
parent
043442e21b
commit
7fd7a3f946
@@ -124,6 +124,19 @@ bool areEqual(const Scalar* a, const Scalar* b, int size) {
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return true;
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}
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template <typename Scalar>
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bool areApprox(const Scalar* a, const Scalar* b, int size, const typename NumTraits<Scalar>::Real& precision) {
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for (int i = 0; i < size; ++i) {
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if (numext::not_equal_strict(a[i], b[i]) && !internal::isApprox(a[i], b[i], precision) &&
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!((numext::isnan)(a[i]) && (numext::isnan)(b[i]))) {
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print_mismatch(a, b, size);
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std::cout << "Values differ in position " << i << ": " << a[i] << " vs " << b[i] << std::endl;
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return false;
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}
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}
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return true;
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}
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#define CHECK_CWISE1(REFOP, POP) \
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{ \
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for (int i = 0; i < PacketSize; ++i) ref[i] = REFOP(data1[i]); \
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@@ -141,6 +154,29 @@ bool areEqual(const Scalar* a, const Scalar* b, int size) {
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VERIFY(test::areApprox(ref, data2, N) && #POP); \
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}
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// Checks component-wise for input of complex type of size N. The real and
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// the imaginary part are compared separately, with 1ULP relaxed condition
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// for the imaginary part. All of data1 data2, ref, realdata1 and realref
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// should have size at least ceil(N/PacketSize)*PacketSize to avoid
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// memory access errors.
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#define CHECK_CWISE1_IM1ULP_N(REFOP, POP, N) \
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{ \
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RealScalar eps_1ulp = RealScalar(1e1) * std::numeric_limits<RealScalar>::epsilon(); \
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for (int j = 0; j < N; j += PacketSize) \
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internal::pstore(data2 + j, internal::plog(internal::pload<Packet>(data1 + j))); \
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for (int i = 0; i < N; ++i) { \
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ref[i] = REFOP(data1[i]); \
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realref[i] = ref[i].imag(); \
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realdata[i] = data2[i].imag(); \
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} \
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VERIFY(test::areApprox(realdata, realref, N, eps_1ulp)); \
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for (int i = 0; i < N; ++i) { \
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realdata[i] = data2[i].real(); \
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realref[i] = ref[i].real(); \
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} \
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VERIFY(test::areApprox(realdata, realref, N)); \
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}
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template <bool Cond, typename Packet>
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struct packet_helper {
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template <typename T>
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