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diff --git a/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentMatMul.cpp b/src/dynamic_fusion/sketch/gpu/components/cl/ClComponentMatMul.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 "src/dynamic_fusion/sketch/gpu/components/cl/ClComponentMatMul.h"
+
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "arm_compute/core/Validate.h"
+#include "arm_compute/dynamic_fusion/sketch/attributes/MatMulAttributes.h"
+
+#include "src/core/CL/CLValidate.h"
+#include "src/dynamic_fusion/sketch/gpu/ckw_driver/components/GpuCkwMatMul.h"
+#include "src/gpu/cl/kernels/helpers/MatMulKernelHelpers.h"
+
+namespace arm_compute
+{
+namespace experimental
+{
+namespace dynamic_fusion
+{
+namespace
+{
+using Attributes = MatMulAttributes;
+using Settings = GpuMatMulSettings;
+
+Status validate_matmul_kernel_info(Attributes attributes, Settings settings)
+{
+ const bool adj_lhs = attributes.adj_lhs();
+ const bool adj_rhs = attributes.adj_rhs();
+ const int m0 = settings.m0();
+ const int n0 = settings.n0();
+ const int k0 = settings.k0();
+
+ // Validate M0
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(m0 < 1, "Only positive integers are supported for M0");
+
+ if (adj_lhs)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(((m0 & (m0 - 1)) && (m0 != 3)) || (m0 > 16),
+ "Only 1,2,3,4,8,16 are supported for M0 for Lhs transposed");
+ }
+
+ // Validate N0
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(n0 < 1, "Only positive integers are supported for N0");
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(((n0 & (n0 - 1)) && (n0 != 3)) || (n0 > 16),
+ "Only 1,2,3,4,8,16 are supported for N0");
+
+ // Validate K0
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(k0 < 1, "Only positive integers are supported for K0");
+ if (!adj_lhs || adj_rhs)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MSG(((k0 & (k0 - 1)) && (k0 != 3)) || (k0 > 16),
+ "Only 1,2,3,4,8,16 are supported for K0");
+ }
+
+ return Status{};
+}
+
+} // namespace
+
+Status ClComponentMatMul::validate(const Properties &properties,
+ const ArgumentPack<ITensorInfo> &tensors,
+ const Attributes &attributes,
+ const Settings &settings)
+{
+ ARM_COMPUTE_UNUSED(properties);
+ ARM_COMPUTE_UNUSED(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);
+
+ // Currently, the only supported case is when adj_lhs = false and adj_rhs = true
+ ARM_COMPUTE_RETURN_ERROR_ON((attributes.adj_lhs() != false) && (attributes.adj_rhs() != true));
+
+ // Check if Matching data type
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(lhs, rhs);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(lhs, dst);
+
+ // Data type
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(lhs, 1, DataType::F16, DataType::F32);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(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);
+
+ // Check if block sizes are supported
+ MatMulKernelInfo matmul_kernel_info =
+ MatMulKernelInfo(attributes.adj_lhs(), attributes.adj_rhs(), settings.m0(), settings.n0(), settings.k0());
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_matmul_kernel_info(attributes, settings));
+ ARM_COMPUTE_RETURN_ON_ERROR(
+ opencl::kernels::validate_matmul_input_shapes(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info));
+
+ // Check if dst shape is correct
+ const auto expected_dst_shape =
+ misc::shape_calculator::compute_matmul_shape(lhs->tensor_shape(), rhs->tensor_shape(), matmul_kernel_info);
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), expected_dst_shape);
+
+ return Status{};
+}
+
+ClComponentMatMul::ClComponentMatMul(ComponentId id,
+ const Properties &properties,
+ const ArgumentPack<ITensorInfo> &tensors,
+ const Attributes &attributes,
+ const Settings &settings)
+ : IGpuKernelComponent{id, properties, tensors},
+ _component_writer{std::make_unique<GpuCkwMatMul>(id, tensors, attributes, settings)}
+{
+}
+
+ClComponentMatMul::~ClComponentMatMul()
+{
+}
+
+const IGpuCkwComponentDriver *ClComponentMatMul::ckw_component_driver() const
+{
+ return _component_writer.get();
+}
+
+} // namespace dynamic_fusion
+} // namespace experimental
+} // namespace arm_compute