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authorGeorgios Pinitas <georgios.pinitas@arm.com>2021-01-06 19:42:21 +0000
committerGeorgios Pinitas <georgios.pinitas@arm.com>2021-01-08 15:38:18 +0000
commit70eb53b09adf57cc6ff7435c795e65a4f4697f67 (patch)
treedef5f3e7fbc0df9dcfd6bb15336c97057a09c457 /src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp
parentc216545a9ede448213e76bd50cba4ebd481b942c (diff)
downloadComputeLibrary-70eb53b09adf57cc6ff7435c795e65a4f4697f67.tar.gz
Make CpuFloorKernel kernel stateless
- Rename NEFloorKernel to CpuFloorKernel to accomodate new ISA implementations - Remove state and instead pass tensors to operate during run - Add member function to generate an execution window given an input and output tensor description Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com> Change-Id: I9240b8ec534589c0f15c354f771f1ac5d7010c3b Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4773 Comments-Addressed: Arm Jenkins <bsgcomp@arm.com> Tested-by: Arm Jenkins <bsgcomp@arm.com> Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp')
-rw-r--r--src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp13
1 files changed, 6 insertions, 7 deletions
diff --git a/src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp b/src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp
index ed1cb6fca4..fdd2aabf60 100644
--- a/src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp
+++ b/src/core/NEON/kernels/NEElementwiseUnaryKernel.cpp
@@ -31,7 +31,6 @@
#include "src/core/NEON/kernels/elementwise/impl/elementwise_unary_list.h"
#include "src/core/SVE/kernels/elementwise/impl/elementwise_unary_list.h"
#include "src/core/common/Registrars.h"
-#include "src/core/common/StdTypes.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "support/ToolchainSupport.h"
@@ -55,35 +54,35 @@ static const ElementwiseUnaryKernel available_kernels[] =
{
"fp32_sve_elementwise_unary",
[](DataType dt) { return dt == DataType::F32; },
- REGISTER_FP32_SVE(arm_compute::cpu::elementwise_sve_op<f32>),
+ REGISTER_FP32_SVE(arm_compute::cpu::elementwise_sve_op<float>),
},
{
"fp16_sve_elementwise_unary",
[](DataType dt) { return dt == DataType::F16; },
- REGISTER_FP16_SVE(arm_compute::cpu::elementwise_sve_op<f16>),
+ REGISTER_FP16_SVE(arm_compute::cpu::elementwise_sve_op<__fp16>),
},
{
"s32_sve_elementwise_unary",
[](DataType dt) { return dt == DataType::S32; },
- REGISTER_INTEGER_SVE(arm_compute::cpu::elementwise_sve_op<s32>),
+ REGISTER_INTEGER_SVE(arm_compute::cpu::elementwise_sve_op<int32_t>),
},
#endif // defined(__ARM_FEATURE_SVE)
{
"fp32_neon_elementwise_unary",
[](DataType dt) { return dt == DataType::F32; },
- REGISTER_FP32_NEON(arm_compute::cpu::elementwise_op<f32>),
+ REGISTER_FP32_NEON(arm_compute::cpu::elementwise_op<float>),
},
#if defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC)
{
"fp16_neon_elementwise_unary",
[](DataType dt) { return dt == DataType::F16; },
- REGISTER_FP32_NEON(arm_compute::cpu::elementwise_op<f16>),
+ REGISTER_FP32_NEON(arm_compute::cpu::elementwise_op<__fp16>),
},
#endif // defined(__ARM_FEATURE_FP16_VECTOR_ARITHMETIC)
{
"s32_neon_elementwise_unary",
[](DataType dt) { return dt == DataType::S32; },
- REGISTER_INTEGER_NEON(arm_compute::cpu::elementwise_op<s32>),
+ REGISTER_INTEGER_NEON(arm_compute::cpu::elementwise_op<int32_t>),
},
};