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eigen/unsupported/Eigen/CXX11
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Benoit Steiner 3b76df64fc Defer the decision to vectorize tensor CUDA code to the meta kernel. This makes it possible to decide to vectorize or not depending on the capability of the target cuda architecture. In particular, this enables us to vectorize the processing of fp16 when running on device of capability >= 5.3
2016-04-12 10:58:51 -07:00
..
src
Defer the decision to vectorize tensor CUDA code to the meta kernel. This makes it possible to decide to vectorize or not depending on the capability of the target cuda architecture. In particular, this enables us to vectorize the processing of fp16 when running on device of capability >= 5.3
2016-04-12 10:58:51 -07:00
CMakeLists.txt
Added CMake support for Tensor module. CMake now installs CXX11 Tensor module like the rest of the unsupported modules
2015-02-26 16:50:09 -05:00
Core
Replace std::vector with our own implementation, as using the stl when compiling with nvcc and avx enabled leads to many issues.
2016-03-08 16:37:27 -08:00
Tensor
Use a single Barrier instead of a collection of Notifications to reduce the thread synchronization overhead
2016-03-22 15:24:23 -07:00
TensorSymmetry
Fix compilation for CXX11/Tensor module if unsupported is not in include path
2014-06-04 18:31:02 +02:00
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