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author | Sang-Hoon Park <sang-hoon.park@arm.com> | 2021-02-03 10:32:59 +0000 |
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committer | Sang-Hoon Park <sang-hoon.park@arm.com> | 2021-03-08 17:00:45 +0000 |
commit | 668ccdcfb81bfab3a2d44cd1ddd956e83a2dfb09 (patch) | |
tree | d139e1a770bcfc182f1aef38a1b908d634f9bb1c /src/runtime/cpu/operators/CpuElementwiseUnary.cpp | |
parent | 201e0fee596dafcf9c869a550fae29779aad2394 (diff) | |
download | ComputeLibrary-668ccdcfb81bfab3a2d44cd1ddd956e83a2dfb09.tar.gz |
Add dynamic tensor support to CpuElementwise
The kernels and operators for binary and unary operations
are now capable of being configured with dynamic shapes and
computing windows at run-time.
Additionally, changing arguments' names is done
for consistency.
Partially Implements: COMPMID-4127
Change-Id: I48e5038692db667dec7cb2b2906fe5683214fe19
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4973
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Pablo Marquez Tello <pablo.tello@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/runtime/cpu/operators/CpuElementwiseUnary.cpp')
-rw-r--r-- | src/runtime/cpu/operators/CpuElementwiseUnary.cpp | 13 |
1 files changed, 13 insertions, 0 deletions
diff --git a/src/runtime/cpu/operators/CpuElementwiseUnary.cpp b/src/runtime/cpu/operators/CpuElementwiseUnary.cpp index d1b1700927..2140c5cf78 100644 --- a/src/runtime/cpu/operators/CpuElementwiseUnary.cpp +++ b/src/runtime/cpu/operators/CpuElementwiseUnary.cpp @@ -23,6 +23,7 @@ */ #include "src/runtime/cpu/operators/CpuElementwiseUnary.h" #include "src/core/cpu/kernels/CpuElementwiseUnaryKernel.h" +#include "src/core/helpers/WindowHelpers.h" namespace arm_compute { @@ -41,5 +42,17 @@ Status CpuElementwiseUnary::validate(ElementWiseUnary op, const ITensorInfo &src { return KernelType::validate(op, src, dst); } + +void CpuElementwiseUnary::run(ITensorPack &tensors) +{ + if(_kernel->is_window_configured()) + { + ICpuOperator::run(tensors); + return; + } + + auto src_info = tensors.get_const_tensor(TensorType::ACL_SRC)->info(); + ICpuOperator::run(tensors, compute_output_shape_and_window(*src_info).second); +} } // namespace cpu } // namespace arm_compute
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