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| author |  Antonio Sanchez <cantonios@google.com> | 2021-01-06 09:41:15 -0800 |
|---|---|---|
| committer | Antonio Sánchez <cantonios@google.com> | 2021-01-22 18:19:19 +0000 |
| commit | f19bcffee6b8018ca101ceb370e6e550a940289f (patch) | |
| tree | 36447572f9f35914470c66811e613c20bc4e044e /test/gpu_common.h | |
| parent | 65e2169c4521660d30f4d90df61da5f3dd9f45bd (diff) | |
Specialize std::complex operators for use on GPU device.
NVCC and older versions of clang do not fully support `std::complex` on device,
leading to either compile errors (Cannot call `__host__` function) or worse,
runtime errors (Illegal instruction). For most functions, we can
implement specialized `numext` versions. Here we specialize the standard
operators (with the exception of stream operators and member function operators
with a scalar that are already specialized in `<complex>`) so they can be used
in device code as well.
To import these operators into the current scope, use
`EIGEN_USING_STD_COMPLEX_OPERATORS`. By default, these are imported into
the `Eigen`, `Eigen:internal`, and `Eigen::numext` namespaces.
This allow us to remove specializations of the
sum/difference/product/quotient ops, and allow us to treat complex
numbers like most other scalars (e.g. in tests).
Diffstat (limited to 'test/gpu_common.h')
| -rw-r--r-- | test/gpu_common.h | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/test/gpu_common.h b/test/gpu_common.h index fe0485e98..c37eaa13f 100644 --- a/test/gpu_common.h +++ b/test/gpu_common.h @@ -117,6 +117,7 @@ struct compile_time_device_info { void operator()(int i, const int* /*in*/, int* info) const { if (i == 0) { + EIGEN_UNUSED_VARIABLE(info) #if defined(__CUDA_ARCH__) info[0] = int(__CUDA_ARCH__ +0); #endif |