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diff --git a/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentLogits1DMaxShiftExpSum.cpp b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentLogits1DMaxShiftExpSum.cpp
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+/*
+ * Copyright (c) 2022 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/dynamic_fusion/sketch/gpu/components/cl/ClComponentLogits1DMaxShiftExpSum.h"
+
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/dynamic_fusion/sketch/attributes/DepthwiseConv2dAttributes.h"
+#include "src/core/CL/CLValidate.h"
+#include "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateDepthwiseConv2d.h"
+#include "src/dynamic_fusion/sketch/gpu/template_writer/cl/ClTemplateLogits1DMaxShiftExpSum.h"
+
+namespace arm_compute
+{
+namespace experimental
+{
+namespace dynamic_fusion
+{
+Status ClComponentLogits1DMaxShiftExpSum::validate(
+ const Properties &properties,
+ const ArgumentPack<ITensorInfo> &tensors,
+ const Attributes &attributes)
+{
+ ARM_COMPUTE_UNUSED(properties, attributes);
+
+ const ITensorInfo *src = tensors.get_const_tensor(TensorType::ACL_SRC_0);
+ const ITensorInfo *sum = tensors.get_const_tensor(TensorType::ACL_DST_0);
+ const ITensorInfo *dst = tensors.get_const_tensor(TensorType::ACL_DST_1);
+
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, sum, dst);
+
+ // 1. Check validity
+ // All tensor infos are initialized
+ ARM_COMPUTE_RETURN_ERROR_ON(src->tensor_shape().total_size() == 0);
+ ARM_COMPUTE_RETURN_ERROR_ON(sum->tensor_shape().total_size() == 0);
+ ARM_COMPUTE_RETURN_ERROR_ON(dst->tensor_shape().total_size() == 0);
+
+ // Check for mismatches in shapes and data types
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst, sum);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
+
+ const uint32_t src_dimensions = src->tensor_shape().num_dimensions();
+ const uint32_t sum_dimensions = sum->tensor_shape().num_dimensions();
+
+ ARM_COMPUTE_RETURN_ERROR_ON(src_dimensions != sum_dimensions + 1);
+
+ // Device requirements are met
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src);
+
+ // 2. Check support level
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::F16, DataType::F32);
+
+ return Status{};
+}
+
+ClComponentLogits1DMaxShiftExpSum::ClComponentLogits1DMaxShiftExpSum(ComponentId id,
+ const Properties &properties,
+ const ArgumentPack<ITensorInfo> &tensors,
+ const Attributes &attributes)
+ : IGpuKernelComponent{ id, properties, tensors },
+ _component_writer{ std::make_unique<ClTemplateLogits1DMaxShiftExpSum>(id, tensors, attributes) }
+{
+}
+
+ClComponentLogits1DMaxShiftExpSum::~ClComponentLogits1DMaxShiftExpSum()
+{
+}
+
+const IGpuTemplateComponentWriter *ClComponentLogits1DMaxShiftExpSum::template_writer() const
+{
+ return _component_writer.get();
+}
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute \ No newline at end of file