Armv8.2-a provides a native half-precision floating point (__fp16 aka.
float16_t). This patch introduces
* __fp16 as underlying type of Eigen::half if this type is available
* the packet types Packet4hf and Packet8hf representing float16x4_t and
float16x8_t respectively
* packet-math for the above packets with corresponding scalar type Eigen::half
The packet-math functionality has been implemented by Ashutosh Sharma
<ashutosh.sharma@amperecomputing.com>.
This closes#1940.
* Unifying all loadLocalTile from lhs and rhs to an extract_block function.
* Adding get_tensor operation which was missing in TensorContractionMapper.
* Adding the -D method missing from cmake for Disable_Skinny Contraction operation.
* Wrapping all the indices in TensorScanSycl into Scan parameter struct.
* Fixing typo in Device SYCL
* Unifying load to private register for tall/skinny no shared
* Unifying load to vector tile for tensor-vector/vector-tensor operation
* Removing all the LHS/RHS class for extracting data from global
* Removing Outputfunction from TensorContractionSkinnyNoshared.
* Combining the local memory version of tall/skinny and normal tensor contraction into one kernel.
* Combining the no-local memory version of tall/skinny and normal tensor contraction into one kernel.
* Combining General Tensor-Vector and VectorTensor contraction into one kernel.
* Making double buffering optional for Tensor contraction when local memory is version is used.
* Modifying benchmark to accept custom Reduction Sizes
* Disabling AVX optimization for SYCL backend on the host to allow SSE optimization to the host
* Adding Test for SYCL
* Modifying SYCL CMake
- unsupported/Eigen/CXX11/src/Tensor/TensorReductionGpu.h
Changing "pass-by-reference" argument to be "pass-by-value" instead
(in a __global__ function decl).
"pass-by-reference" arguments to __global__ functions are unwise,
and will be explicitly flagged as errors by the newer versions of HIP.
- Eigen/src/Core/util/Memory.h
- unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h
Changes introduced in recent commits breaks the HIP compile.
Adding EIGEN_DEVICE_FUNC attribute to some functions and
calling ::malloc/free instead of the corresponding std:: versions
to get the HIP compile working again
- unsupported/Eigen/CXX11/src/Tensor/TensorReduction.h
Change introduced a recent commit breaks the HIP compile
(link stage errors out due to failure to inline a function).
Disabling the recently introduced code (only for HIP compile), to get
the eigen nightly testing going again.
Will submit another PR once we have te proper fix.
- Eigen/src/Core/util/ConfigureVectorization.h
Enabling GPU VECTOR support when HIP compiler is in use
(for both the host and device compile phases)
