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diff --git a/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentElementwiseBinary.cpp b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentElementwiseBinary.cpp
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+/*
+ * Copyright (c) 2022-2024 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 "ClComponentElementwiseBinary.h"
+
+#include "arm_compute/core/Validate.h"
+
+#include "src/core/CL/CLValidate.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwElementwiseBinary.h"
+
+namespace arm_compute
+{
+namespace experimental
+{
+namespace dynamic_fusion
+{
+namespace
+{
+std::set<ElementwiseBinaryCommonAttributes::ElementwiseOp> supported_ops{
+ ElementwiseBinaryCommonAttributes::ElementwiseOp::Add, ElementwiseBinaryCommonAttributes::ElementwiseOp::Sub,
+ ElementwiseBinaryCommonAttributes::ElementwiseOp::Mul};
+}
+
+Status ClComponentElementwiseBinary::validate(const ArgumentPack<ITensorInfo> &tensors,
+ const ElementwiseBinaryCommonAttributes &attributes)
+{
+ const auto lhs = tensors.get_const_tensor(TensorType::ACL_SRC_0);
+ const auto rhs = tensors.get_const_tensor(TensorType::ACL_SRC_1);
+ const auto dst = tensors.get_const_tensor(TensorType::ACL_DST_0);
+
+ // Check operator type
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(supported_ops.find(attributes.operation()) == supported_ops.end(),
+ "Provided Elementwise operation not supported.");
+
+ // Check validity
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(lhs, rhs, dst);
+
+ //Check data type for different elementwise operators
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(lhs, 1, DataType::F32, DataType::F16, DataType::S32,
+ DataType::S16, DataType::U8);
+
+ // dst shape is correct
+ const TensorShape out_shape = TensorShape::broadcast_shape(lhs->tensor_shape(), rhs->tensor_shape());
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(out_shape.total_size() == 0, "Inputs are not broadcast compatible");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(out_shape, dst->tensor_shape(), 0),
+ "Wrong shape for dst.");
+
+ const auto &lhs_shape = lhs->tensor_shape();
+ const auto &rhs_shape = rhs->tensor_shape();
+ const auto &dst_shape = dst->tensor_shape();
+
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(lhs_shape, dst_shape, 0) &&
+ detail::have_different_dimensions(rhs_shape, dst_shape, 0),
+ "Only LHS or RHS can be broadcasting, not both.");
+
+ // Dimension Y and Z are collapsed together in the current kernel implementation,
+ // hence they cannot be independently broadcast or non-broadcast.
+ // See: ClTemplateElementwiseBinary::get_window
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG((lhs_shape[1] != dst_shape[1] || rhs_shape[1] != dst_shape[1]) !=
+ (lhs_shape[2] != dst_shape[2] || rhs_shape[2] != dst_shape[2]),
+ "Dimension Y and Z must both be either broadcast or non-broadcast.");
+
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(lhs_shape, dst_shape, 3),
+ "LHS broadcast in dimension 3 or higher is not supported.");
+
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(detail::have_different_dimensions(rhs_shape, dst_shape, 3),
+ "RHS broadcast in dimension 3 or higher is not supported.");
+
+ // Matching data type
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(lhs, rhs);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(lhs, dst);
+
+ // Matching data layout
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(lhs, rhs);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(lhs, dst);
+
+ // All tensor infos are initialized
+ ARM_COMPUTE_RETURN_ERROR_ON(lhs->tensor_shape().total_size() == 0);
+ ARM_COMPUTE_RETURN_ERROR_ON(rhs->tensor_shape().total_size() == 0);
+ ARM_COMPUTE_RETURN_ERROR_ON(dst->tensor_shape().total_size() == 0);
+
+ // Device requirements are met
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(lhs);
+
+ return Status{};
+}
+
+ClComponentElementwiseBinary::~ClComponentElementwiseBinary()
+{
+}
+ClComponentElementwiseBinary::ClComponentElementwiseBinary(ComponentId id,
+ const Properties &properties,
+ const ArgumentPack<ITensorInfo> &tensors,
+ const Attributes &attributes)
+ : IGpuKernelComponent{id, properties, tensors},
+ _component_writer{std::make_unique<GpuCkwElementwiseBinary>(id, tensors, attributes)}
+{
+}
+
+const IGpuCkwComponentDriver *ClComponentElementwiseBinary::ckw_component_driver() const
+{
+ return _component_writer.get();
+}
+
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute