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authorSang-Hoon Park <sang-hoon.park@arm.com>2021-02-03 10:32:59 +0000
committerSang-Hoon Park <sang-hoon.park@arm.com>2021-03-08 17:00:45 +0000
commit668ccdcfb81bfab3a2d44cd1ddd956e83a2dfb09 (patch)
treed139e1a770bcfc182f1aef38a1b908d634f9bb1c /src/runtime/cpu/operators/CpuElementwise.cpp
parent201e0fee596dafcf9c869a550fae29779aad2394 (diff)
downloadComputeLibrary-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/CpuElementwise.cpp')
-rw-r--r--src/runtime/cpu/operators/CpuElementwise.cpp72
1 files changed, 44 insertions, 28 deletions
diff --git a/src/runtime/cpu/operators/CpuElementwise.cpp b/src/runtime/cpu/operators/CpuElementwise.cpp
index 322bd09c43..b5c8dde925 100644
--- a/src/runtime/cpu/operators/CpuElementwise.cpp
+++ b/src/runtime/cpu/operators/CpuElementwise.cpp
@@ -23,95 +23,111 @@
*/
#include "src/runtime/cpu/operators/CpuElementwise.h"
#include "src/core/cpu/kernels/CpuElementwiseKernel.h"
+#include "src/core/helpers/WindowHelpers.h"
namespace arm_compute
{
namespace cpu
{
-void CpuElementwiseMax::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
+void CpuElementwiseBase::run(ITensorPack &tensors)
+{
+ // If the kernel has been configured, use the window from the kernel.
+ if(_kernel->is_window_configured())
+ {
+ ICpuOperator::run(tensors);
+ return;
+ }
+
+ auto src0_info = tensors.get_const_tensor(TensorType::ACL_SRC_0)->info();
+ auto src1_info = tensors.get_const_tensor(TensorType::ACL_SRC_1)->info();
+ auto shape_and_window = compute_output_shape_and_window(*src0_info, *src1_info);
+ ICpuOperator::run(tensors, shape_and_window.second);
+}
+
+void CpuElementwiseMax::configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
{
auto k = std::make_unique<kernels::CpuArithmeticKernel>();
- k->configure(ArithmeticOperation::MAX, input1, input2, output);
+ k->configure(ArithmeticOperation::MAX, src0, src1, dst);
_kernel = std::move(k);
}
-Status CpuElementwiseMax::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
+Status CpuElementwiseMax::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
{
- return kernels::CpuArithmeticKernel::validate(ArithmeticOperation::MAX, input1, input2, output);
+ return kernels::CpuArithmeticKernel::validate(ArithmeticOperation::MAX, src0, src1, dst);
}
-void CpuElementwiseMin::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
+void CpuElementwiseMin::configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
{
auto k = std::make_unique<kernels::CpuArithmeticKernel>();
- k->configure(ArithmeticOperation::MIN, input1, input2, output);
+ k->configure(ArithmeticOperation::MIN, src0, src1, dst);
_kernel = std::move(k);
}
-Status CpuElementwiseMin::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
+Status CpuElementwiseMin::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
{
- return kernels::CpuArithmeticKernel::validate(ArithmeticOperation::MIN, input1, input2, output);
+ return kernels::CpuArithmeticKernel::validate(ArithmeticOperation::MIN, src0, src1, dst);
}
-void CpuElementwiseSquaredDiff::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
+void CpuElementwiseSquaredDiff::configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
{
auto k = std::make_unique<kernels::CpuArithmeticKernel>();
- k->configure(ArithmeticOperation::SQUARED_DIFF, input1, input2, output);
+ k->configure(ArithmeticOperation::SQUARED_DIFF, src0, src1, dst);
_kernel = std::move(k);
}
-Status CpuElementwiseSquaredDiff::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
+Status CpuElementwiseSquaredDiff::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
{
- return kernels::CpuArithmeticKernel::validate(ArithmeticOperation::SQUARED_DIFF, input1, input2, output);
+ return kernels::CpuArithmeticKernel::validate(ArithmeticOperation::SQUARED_DIFF, src0, src1, dst);
}
-void CpuElementwiseDivision::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
+void CpuElementwiseDivision::configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
{
auto k = std::make_unique<kernels::CpuDivisionKernel>();
- k->configure(input1, input2, output);
+ k->configure(src0, src1, dst);
_kernel = std::move(k);
}
-Status CpuElementwiseDivision::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
+Status CpuElementwiseDivision::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
{
- return kernels::CpuDivisionKernel::validate(input1, input2, output);
+ return kernels::CpuDivisionKernel::validate(src0, src1, dst);
}
-void CpuElementwisePower::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
+void CpuElementwisePower::configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
{
auto k = std::make_unique<kernels::CpuPowerKernel>();
- k->configure(input1, input2, output);
+ k->configure(src0, src1, dst);
_kernel = std::move(k);
}
-Status CpuElementwisePower::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
+Status CpuElementwisePower::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
{
- return kernels::CpuPowerKernel::validate(input1, input2, output);
+ return kernels::CpuPowerKernel::validate(src0, src1, dst);
}
template <ComparisonOperation COP>
-void CpuElementwiseComparisonStatic<COP>::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output)
+void CpuElementwiseComparisonStatic<COP>::configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst)
{
auto k = std::make_unique<kernels::CpuComparisonKernel>();
- k->configure(COP, input1, input2, output);
+ k->configure(COP, src0, src1, dst);
_kernel = std::move(k);
}
template <ComparisonOperation COP>
-Status CpuElementwiseComparisonStatic<COP>::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
+Status CpuElementwiseComparisonStatic<COP>::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst)
{
- return kernels::CpuComparisonKernel::validate(COP, input1, input2, output);
+ return kernels::CpuComparisonKernel::validate(COP, src0, src1, dst);
}
-void CpuElementwiseComparison::configure(const ITensorInfo *input1, const ITensorInfo *input2, ITensorInfo *output, ComparisonOperation op)
+void CpuElementwiseComparison::configure(const ITensorInfo *src0, const ITensorInfo *src1, ITensorInfo *dst, ComparisonOperation op)
{
auto k = std::make_unique<kernels::CpuComparisonKernel>();
- k->configure(op, input1, input2, output);
+ k->configure(op, src0, src1, dst);
_kernel = std::move(k);
}
-Status CpuElementwiseComparison::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ComparisonOperation op)
+Status CpuElementwiseComparison::validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *dst, ComparisonOperation op)
{
- return kernels::CpuComparisonKernel::validate(op, input1, input2, output);
+ return kernels::CpuComparisonKernel::validate(op, src0, src1, dst);
}
// Supported Specializations