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diff --git a/src/dynamic_fusion/sketch/gpu/operators/GpuTanh.cpp b/src/dynamic_fusion/sketch/gpu/operators/GpuTanh.cpp
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+++ b/src/dynamic_fusion/sketch/gpu/operators/GpuTanh.cpp
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+/*
+ * Copyright (c) 2023-2024 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 "arm_compute/dynamic_fusion/sketch/gpu/operators/GpuTanh.h"
+
+#include "arm_compute/core/experimental/Types.h"
+
+#include "src/common/utils/Log.h"
+#include "src/core/helpers/AutoConfiguration.h"
+#include "src/dynamic_fusion/sketch/ArgumentPack.h"
+#include "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentActivation.h"
+#include "src/dynamic_fusion/sketch/gpu/GpuWorkloadSketchImpl.h"
+
+namespace arm_compute
+{
+namespace experimental
+{
+namespace dynamic_fusion
+{
+namespace
+{
+Status is_supported_op_helper(const GpuWorkloadContext &context, const ITensorInfo *src, const ITensorInfo *dst)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst);
+    ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32);
+
+    TensorInfo         dst_info_to_validate;
+    const ITensorInfo *dst_info_to_validate_ptr = &dst_info_to_validate;
+
+    if (dst != nullptr)
+    {
+        dst_info_to_validate_ptr = dst;
+    }
+
+    auto_init_if_empty(dst_info_to_validate, *src->clone());
+
+    const ClComponentActivation::Attributes act_info{ActivationLayerInfo::ActivationFunction::TANH};
+
+    // Check components
+    if (context.gpu_language() == GpuLanguage::OpenCL)
+    {
+        // Validate Activation Component
+        const auto properties =
+            IGpuKernelComponent::Properties().stage(UnitWorkloadStage{UnitWorkloadStage::Stage::Run});
+
+        ArgumentPack<ITensorInfo> arguments;
+        arguments.add_const_tensor(ACL_SRC, src);
+        arguments.add_const_tensor(ACL_DST, dst_info_to_validate_ptr);
+        ARM_COMPUTE_RETURN_ON_ERROR(ClComponentActivation::validate(properties, arguments, act_info));
+    }
+    else
+    {
+        ARM_COMPUTE_RETURN_ERROR_MSG("Unimplemented Gpu language");
+    }
+    return Status{};
+}
+
+constexpr GpuOperatorType operator_type = GpuOperatorType::Simple;
+} // namespace
+
+Status GpuTanh::is_supported_op(const GpuWorkloadContext &context, const ITensorInfo *src)
+{
+    return is_supported_op_helper(context, src, nullptr);
+}
+
+Status GpuTanh::validate_op(const GpuWorkloadSketch &sketch, const ITensorInfo *src)
+{
+    ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src);
+
+    // Check if tensors have valid id, i.e. they are created from a sketch
+    ARM_COMPUTE_RETURN_ERROR_ON(!src->has_valid_id());
+
+    // Refer to GpuConv2d::validate_op() for id-validness of this TensorInfo object
+    TensorInfo dst_info_to_validate;
+
+    // Auto initialize dst tensor info
+    auto_init_if_empty(dst_info_to_validate, *src->clone());
+
+    // Perform fusion test to check if the operator meets fusion constraints
+    ArgumentPack<ITensorInfo> tensors;
+    tensors.add_const_tensor(ACL_SRC, src);
+    tensors.add_const_tensor(ACL_DST, &dst_info_to_validate);
+    const auto op = sketch.implementation().operator_group().new_operator(operator_type, tensors);
+    ARM_COMPUTE_RETURN_ERROR_ON_MSG(!sketch.implementation().operator_group().try_add_operator(op),
+                                    "Operator fusion test failed. This operator cannot be fused into the workload");
+
+    // Check if configuration is supported
+    return is_supported_op_helper(*sketch.gpu_context(), src, &dst_info_to_validate);
+}
+
+ITensorInfo *GpuTanh::create_op(GpuWorkloadSketch &sketch, ITensorInfo *src)
+{
+    ARM_COMPUTE_ERROR_ON_NULLPTR(src);
+    ARM_COMPUTE_LOG_PARAMS(src);
+    ARM_COMPUTE_ERROR_THROW_ON(GpuTanh::validate_op(sketch, src));
+
+    ITensorInfo *dst = sketch.implementation().create_virtual_tensor();
+    ARM_COMPUTE_ERROR_ON_NULLPTR(dst);
+
+    // Auto initialize dst tensor
+    auto_init_if_empty(*dst, *src->clone());
+
+    // Translate into components and add to component graph
+    GpuKernelComponentGraph &comp_graph = sketch.implementation().component_graph();
+
+    const ClComponentActivation::Attributes act_info{ActivationLayerInfo::ActivationFunction::TANH};
+
+    const auto *const sketch_ctx = sketch.implementation().context();
+
+    if (sketch_ctx->gpu_language() == GpuLanguage::OpenCL)
+    {
+        // Add Activation Component
+        auto properties = IGpuKernelComponent::Properties();
+        properties.stage(UnitWorkloadStage{UnitWorkloadStage::Stage::Run});
+
+        ArgumentPack<ITensorInfo> arguments;
+        arguments.add_const_tensor(ACL_SRC, src);
+        arguments.add_const_tensor(ACL_DST, dst);
+        comp_graph.add_new_component<ClComponentActivation>(properties, arguments, act_info);
+    }
+    else
+    {
+        ARM_COMPUTE_ERROR("Unimplemented Gpu language");
+    }
+
+    // Set up fusion test by adding to the Operator Group
+    // Note this has to be performed after all the components have been successfully added to the component graph
+
+    // Pack tensor infos
+    ArgumentPack<ITensorInfo> tensors;
+    tensors.add_const_tensor(ACL_SRC, src);
+    tensors.add_const_tensor(ACL_DST, dst);
+
+    const auto op = sketch.implementation().operator_group().new_operator(operator_type, tensors);
+    sketch.implementation().operator_group().add_operator(op);
+
+    return dst;
+}
+
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute