Make CLArithmeticAddition kernel and function state-less
Resolves COMPMID-4006
Change-Id: Iddc32b0b250142aac9a4a7b9dc0eef462d196025
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/4913
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Sang-Hoon Park <sang-hoon.park@arm.com>
diff --git a/src/runtime/CL/functions/CLElementwiseOperations.cpp b/src/runtime/CL/functions/CLElementwiseOperations.cpp
index a72e957..638990e 100644
--- a/src/runtime/CL/functions/CLElementwiseOperations.cpp
+++ b/src/runtime/CL/functions/CLElementwiseOperations.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2018-2020 Arm Limited.
+ * Copyright (c) 2018-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,7 +25,9 @@
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
-#include "src/core/CL/kernels/CLElementwiseOperationKernel.h"
+#include "src/core/gpu/cl/kernels/ClElementwiseKernel.h"
+
+#include "src/runtime/gpu/cl/operators/ClAdd.h"
#include <utility>
@@ -33,34 +35,13 @@
{
namespace experimental
{
-CLArithmeticAddition::CLArithmeticAddition()
-{
-}
-
-void CLArithmeticAddition::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info)
-{
- auto k = std::make_unique<CLSaturatedArithmeticOperationKernel>();
- k->configure(compile_context, ArithmeticOperation::ADD, input1, input2, output, policy, act_info);
- _kernel = std::move(k);
-}
-
-Status CLArithmeticAddition::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info)
-{
- return CLSaturatedArithmeticOperationKernel::validate(ArithmeticOperation::ADD, input1, input2, output, policy, act_info);
-}
-
-void CLArithmeticAddition::run(ITensorPack &tensors)
-{
- ICLOperator::run(tensors);
-}
-
CLArithmeticSubtraction::CLArithmeticSubtraction()
{
}
void CLArithmeticSubtraction::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, ConvertPolicy policy,
const ActivationLayerInfo &act_info)
{
- auto k = std::make_unique<CLSaturatedArithmeticOperationKernel>();
+ auto k = std::make_unique<arm_compute::opencl::kernels::ClSaturatedArithmeticKernel>();
k->configure(compile_context, ArithmeticOperation::SUB, input1, input2, output, policy, act_info);
_kernel = std::move(k);
}
@@ -68,7 +49,7 @@
Status CLArithmeticSubtraction::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info)
{
ARM_COMPUTE_UNUSED(policy);
- return CLSaturatedArithmeticOperationKernel::validate(ArithmeticOperation::SUB, input1, input2, output, policy, act_info);
+ return arm_compute::opencl::kernels::ClSaturatedArithmeticKernel::validate(ArithmeticOperation::SUB, input1, input2, output, policy, act_info);
}
void CLArithmeticSubtraction::run(ITensorPack &tensors)
@@ -82,14 +63,14 @@
void CLArithmeticDivision::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- auto k = std::make_unique<CLArithmeticOperationKernel>();
+ auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>();
k->configure(compile_context, ArithmeticOperation::DIV, input1, input2, output, act_info);
_kernel = std::move(k);
}
Status CLArithmeticDivision::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- return CLArithmeticOperationKernel::validate(ArithmeticOperation::DIV, input1, input2, output, act_info);
+ return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::DIV, input1, input2, output, act_info);
}
void CLArithmeticDivision::run(ITensorPack &tensors)
@@ -103,14 +84,14 @@
void CLElementwiseMax::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- auto k = std::make_unique<CLArithmeticOperationKernel>();
+ auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>();
k->configure(compile_context, ArithmeticOperation::MAX, input1, input2, output, act_info);
_kernel = std::move(k);
}
Status CLElementwiseMax::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- return CLArithmeticOperationKernel::validate(ArithmeticOperation::MAX, input1, input2, output, act_info);
+ return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::MAX, input1, input2, output, act_info);
}
void CLElementwiseMax::run(ITensorPack &tensors)
@@ -124,14 +105,14 @@
void CLElementwiseMin::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- auto k = std::make_unique<CLArithmeticOperationKernel>();
+ auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>();
k->configure(compile_context, ArithmeticOperation::MIN, input1, input2, output, act_info);
_kernel = std::move(k);
}
Status CLElementwiseMin::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- return CLArithmeticOperationKernel::validate(ArithmeticOperation::MIN, input1, input2, output, act_info);
+ return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::MIN, input1, input2, output, act_info);
}
void CLElementwiseMin::run(ITensorPack &tensors)
@@ -145,14 +126,14 @@
void CLElementwiseSquaredDiff::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- auto k = std::make_unique<CLArithmeticOperationKernel>();
+ auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>();
k->configure(compile_context, ArithmeticOperation::SQUARED_DIFF, input1, input2, output, act_info);
_kernel = std::move(k);
}
Status CLElementwiseSquaredDiff::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- return CLArithmeticOperationKernel::validate(ArithmeticOperation::SQUARED_DIFF, input1, input2, output, act_info);
+ return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::SQUARED_DIFF, input1, input2, output, act_info);
}
void CLElementwiseSquaredDiff::run(ITensorPack &tensors)
@@ -166,14 +147,14 @@
void CLElementwisePower::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- auto k = std::make_unique<CLArithmeticOperationKernel>();
+ auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>();
k->configure(compile_context, ArithmeticOperation::POWER, input1, input2, output, act_info);
_kernel = std::move(k);
}
Status CLElementwisePower::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, const ActivationLayerInfo &act_info)
{
- return CLArithmeticOperationKernel::validate(ArithmeticOperation::POWER, input1, input2, output, act_info);
+ return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::POWER, input1, input2, output, act_info);
}
void CLElementwisePower::run(ITensorPack &tensors)
@@ -181,13 +162,12 @@
ICLOperator::run(tensors);
}
} // namespace experimental
-
struct CLArithmeticAddition::Impl
{
- const ICLTensor *src_0{ nullptr };
- const ICLTensor *src_1{ nullptr };
- ICLTensor *dst{ nullptr };
- std::unique_ptr<experimental::CLArithmeticAddition> op{ nullptr };
+ const ICLTensor *src_0{ nullptr };
+ const ICLTensor *src_1{ nullptr };
+ ICLTensor *dst{ nullptr };
+ std::unique_ptr<opencl::ClAdd> op{ nullptr };
};
CLArithmeticAddition::CLArithmeticAddition()
@@ -209,13 +189,13 @@
_impl->src_0 = input1;
_impl->src_1 = input2;
_impl->dst = output;
- _impl->op = std::make_unique<experimental::CLArithmeticAddition>();
+ _impl->op = std::make_unique<opencl::ClAdd>();
_impl->op->configure(compile_context, input1->info(), input2->info(), output->info(), policy, act_info);
}
Status CLArithmeticAddition::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output, ConvertPolicy policy, const ActivationLayerInfo &act_info)
{
- return experimental::CLArithmeticAddition::validate(input1, input2, output, policy, act_info);
+ return opencl::ClAdd::validate(input1, input2, output, policy, act_info);
}
void CLArithmeticAddition::run()
diff --git a/src/runtime/CL/functions/CLLogicalAnd.cpp b/src/runtime/CL/functions/CLLogicalAnd.cpp
index f1c5365..98c98ab 100644
--- a/src/runtime/CL/functions/CLLogicalAnd.cpp
+++ b/src/runtime/CL/functions/CLLogicalAnd.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2020 Arm Limited.
+ * Copyright (c) 2020-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -23,7 +23,7 @@
*/
#include "arm_compute/runtime/CL/functions/CLLogicalAnd.h"
#include "arm_compute/core/CL/ICLTensor.h"
-#include "src/core/CL/kernels/CLElementwiseOperationKernel.h"
+#include "src/core/gpu/cl/kernels/ClElementwiseKernel.h"
#include <utility>
@@ -33,14 +33,14 @@
{
void CLLogicalAnd::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
{
- auto k = std::make_unique<CLLogicalBinaryKernel>();
- k->configure(compile_context, kernels::LogicalOperation::And, input1, input2, output);
+ auto k = std::make_unique<arm_compute::opencl::kernels::ClLogicalBinaryKernel>();
+ k->configure(compile_context, LogicalOperation::And, input1, input2, output);
_kernel = std::move(k);
}
Status CLLogicalAnd::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
{
- return CLLogicalBinaryKernel::validate(kernels::LogicalOperation::And, input1, input2, output);
+ return arm_compute::opencl::kernels::ClLogicalBinaryKernel::validate(LogicalOperation::And, input1, input2, output);
}
void CLLogicalAnd::run(ITensorPack &tensors)
diff --git a/src/runtime/CL/functions/CLLogicalOr.cpp b/src/runtime/CL/functions/CLLogicalOr.cpp
index 8c6087e..897963a 100644
--- a/src/runtime/CL/functions/CLLogicalOr.cpp
+++ b/src/runtime/CL/functions/CLLogicalOr.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2020 Arm Limited.
+ * Copyright (c) 2020-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -23,7 +23,7 @@
*/
#include "arm_compute/runtime/CL/functions/CLLogicalOr.h"
#include "arm_compute/core/CL/ICLTensor.h"
-#include "src/core/CL/kernels/CLElementwiseOperationKernel.h"
+#include "src/core/gpu/cl/kernels/ClElementwiseKernel.h"
#include <utility>
@@ -33,14 +33,14 @@
{
void CLLogicalOr::configure(const CLCompileContext &compile_context, ITensorInfo *input1, ITensorInfo *input2, ITensorInfo *output)
{
- auto k = std::make_unique<CLLogicalBinaryKernel>();
- k->configure(compile_context, kernels::LogicalOperation::Or, input1, input2, output);
+ auto k = std::make_unique<arm_compute::opencl::kernels::ClLogicalBinaryKernel>();
+ k->configure(compile_context, LogicalOperation::Or, input1, input2, output);
_kernel = std::move(k);
}
Status CLLogicalOr::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
{
- return CLLogicalBinaryKernel::validate(kernels::LogicalOperation::Or, input1, input2, output);
+ return arm_compute::opencl::kernels::ClLogicalBinaryKernel::validate(LogicalOperation::Or, input1, input2, output);
}
void CLLogicalOr::run(ITensorPack &tensors)
diff --git a/src/runtime/CL/functions/CLPReluLayer.cpp b/src/runtime/CL/functions/CLPReluLayer.cpp
index 876b5de..74286d4 100644
--- a/src/runtime/CL/functions/CLPReluLayer.cpp
+++ b/src/runtime/CL/functions/CLPReluLayer.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2019-2020 Arm Limited.
+ * Copyright (c) 2019-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -21,7 +21,7 @@
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
* SOFTWARE.
*/
-#include "src/core/CL/kernels/CLElementwiseOperationKernel.h"
+#include "src/core/gpu/cl/kernels/ClElementwiseKernel.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
@@ -37,14 +37,14 @@
void CLPReluLayer::configure(const CLCompileContext &compile_context, ITensorInfo *input, ITensorInfo *alpha, ITensorInfo *output)
{
- auto k = std::make_unique<CLArithmeticOperationKernel>();
+ auto k = std::make_unique<arm_compute::opencl::kernels::ClArithmeticKernel>();
k->configure(compile_context, ArithmeticOperation::PRELU, input, alpha, output);
_kernel = std::move(k);
}
Status CLPReluLayer::validate(const ITensorInfo *input, const ITensorInfo *alpha, const ITensorInfo *output)
{
- return CLArithmeticOperationKernel::validate(ArithmeticOperation::PRELU, input, alpha, output);
+ return arm_compute::opencl::kernels::ClArithmeticKernel::validate(ArithmeticOperation::PRELU, input, alpha, output);
}
void CLPReluLayer::run(ITensorPack &tensors)
diff --git a/src/runtime/NEON/functions/NELogical.cpp b/src/runtime/NEON/functions/NELogical.cpp
index 190998b..674ba40 100644
--- a/src/runtime/NEON/functions/NELogical.cpp
+++ b/src/runtime/NEON/functions/NELogical.cpp
@@ -50,7 +50,7 @@
ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
_impl->kernel = std::make_unique<kernels::NELogicalKernel>();
- _impl->kernel->configure(input1->info(), input2->info(), output->info(), kernels::LogicalOperation::And);
+ _impl->kernel->configure(input1->info(), input2->info(), output->info(), LogicalOperation::And);
_impl->pack = ITensorPack();
_impl->pack.add_tensor(TensorType::ACL_SRC_0, input1);
@@ -60,7 +60,7 @@
Status NELogicalAnd::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
{
- return kernels::NELogicalKernel::validate(input1, input2, output, kernels::LogicalOperation::And);
+ return kernels::NELogicalKernel::validate(input1, input2, output, LogicalOperation::And);
}
void NELogicalAnd::run()
@@ -83,7 +83,7 @@
ARM_COMPUTE_ERROR_ON_NULLPTR(input1, input2, output);
_impl->kernel = std::make_unique<kernels::NELogicalKernel>();
- _impl->kernel->configure(input1->info(), input2->info(), output->info(), kernels::LogicalOperation::Or);
+ _impl->kernel->configure(input1->info(), input2->info(), output->info(), LogicalOperation::Or);
_impl->pack = ITensorPack();
_impl->pack.add_tensor(TensorType::ACL_SRC_0, input1);
@@ -93,7 +93,7 @@
Status NELogicalOr::validate(const ITensorInfo *input1, const ITensorInfo *input2, const ITensorInfo *output)
{
- return kernels::NELogicalKernel::validate(input1, input2, output, kernels::LogicalOperation::Or);
+ return kernels::NELogicalKernel::validate(input1, input2, output, LogicalOperation::Or);
}
void NELogicalOr::run()
@@ -116,7 +116,7 @@
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
_impl->kernel = std::make_unique<kernels::NELogicalKernel>();
- _impl->kernel->configure(input->info(), nullptr, output->info(), kernels::LogicalOperation::Not);
+ _impl->kernel->configure(input->info(), nullptr, output->info(), LogicalOperation::Not);
_impl->pack = ITensorPack();
_impl->pack.add_tensor(TensorType::ACL_SRC_0, input);
@@ -125,7 +125,7 @@
Status NELogicalNot::validate(const ITensorInfo *input, const ITensorInfo *output)
{
- return kernels::NELogicalKernel::validate(input, nullptr, output, kernels::LogicalOperation::Not);
+ return kernels::NELogicalKernel::validate(input, nullptr, output, LogicalOperation::Not);
}
void NELogicalNot::run()
diff --git a/src/runtime/gpu/cl/operators/ClAdd.cpp b/src/runtime/gpu/cl/operators/ClAdd.cpp
new file mode 100644
index 0000000..01f550f
--- /dev/null
+++ b/src/runtime/gpu/cl/operators/ClAdd.cpp
@@ -0,0 +1,47 @@
+/*
+ * Copyright (c) 2021 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "src/runtime/gpu/cl/operators/ClAdd.h"
+
+#include "src/core/gpu/cl/ClCompileContext.h"
+#include "src/core/gpu/cl/kernels/ClElementwiseKernel.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+void ClAdd::configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst,
+ ConvertPolicy policy, const ActivationLayerInfo &act_info)
+{
+ auto k = std::make_unique<kernels::ClSaturatedArithmeticKernel>();
+ k->configure(compile_context, ArithmeticOperation::ADD, src1, src2, dst, policy, act_info);
+ _kernel = std::move(k);
+}
+
+Status ClAdd::validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst,
+ ConvertPolicy policy, const ActivationLayerInfo &act_info)
+{
+ return kernels::ClSaturatedArithmeticKernel::validate(ArithmeticOperation::ADD, src1, src2, dst, policy, act_info);
+}
+} // namespace opencl
+} // namespace arm_compute
diff --git a/src/runtime/gpu/cl/operators/ClAdd.h b/src/runtime/gpu/cl/operators/ClAdd.h
new file mode 100644
index 0000000..2854c16
--- /dev/null
+++ b/src/runtime/gpu/cl/operators/ClAdd.h
@@ -0,0 +1,100 @@
+/*
+ * Copyright (c) 2021 Arm Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_CL_ADD_H
+#define ARM_COMPUTE_CL_ADD_H
+
+#include "src/core/gpu/cl/ClCompileContext.h"
+#include "src/runtime/gpu/cl/IClOperator.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+/** Basic function to run arithmetic addition
+ *
+ * @note The tensor data type for the inputs must be U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
+ * @note The function performs an arithmetic addition between two tensors.
+ */
+class ClAdd : public IClOperator
+{
+public:
+ /** Default Constructor */
+ ClAdd() = default;
+ /** Configure function for a given list of arguments.
+ *
+ * Valid configurations (src1,src2) -> dst :
+ *
+ * - (U8,U8) -> U8
+ * - (U8,U8) -> S16
+ * - (S16,U8) -> S16
+ * - (U8,S16) -> S16
+ * - (S16,S16) -> S16
+ * - (S32,S32) -> S32
+ * - (F16,F16) -> F16
+ * - (F32,F32) -> F32
+ * - (QASYMM8,QASYMM8) -> QASYMM8
+ * - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
+ * - (QSYMM16,QSYMM16) -> QSYMM16
+ *
+ * @param[in] compile_context The compile context to be used.
+ * @param[in, out] src1 First source tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
+ * The source tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
+ * @param[in, out] src2 Second source tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
+ * The source tensor is [in, out] because its TensorInfo might be modified inside the kernel in case of broadcasting of dimension 0.
+ * @param[out] dst Destination tensor. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
+ * @param[in] policy Policy to use to handle overflow.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ */
+ void configure(const ClCompileContext &compile_context, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, ConvertPolicy policy,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+ /** Static function to check if given info will lead to a valid configuration of @ref ClAdd
+ *
+ * Valid configurations (src1,src2) -> dst :
+ *
+ * - (U8,U8) -> U8
+ * - (U8,U8) -> S16
+ * - (S16,U8) -> S16
+ * - (U8,S16) -> S16
+ * - (S16,S16) -> S16
+ * - (S32,S32) -> S32
+ * - (F16,F16) -> F16
+ * - (F32,F32) -> F32
+ * - (QASYMM8,QASYMM8) -> QASYMM8
+ * - (QASYMM8_SIGNED,QASYMM8_SIGNED) -> QASYMM8_SIGNED
+ * - (QSYMM16,QSYMM16) -> QSYMM16
+ *
+ * @param[in] src1 First source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
+ * @param[in] src2 Second source tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
+ * @param[in] dst Destination tensor info. Data types supported: U8/QASYMM8/QASYMM8_SIGNED/S16/QSYMM16/S32/F16/F32.
+ * @param[in] policy Policy to use to handle overflow.
+ * @param[in] act_info (Optional) Activation layer information in case of a fused activation.
+ *
+ * @return a status
+ */
+ static Status validate(const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, ConvertPolicy policy,
+ const ActivationLayerInfo &act_info = ActivationLayerInfo());
+};
+} // namespace opencl
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_ADD_H */