Port CLGEMM to memory injecting interface

Moves the following kernels:
 - CLGEMMMatrixMultiplyKernel
 - CLGEMMMatrixMultiplyNativeKernel
 - CLGEMMMatrixMultipluReshapedKernel
 - CLGEMMMatrixMultiplyReshapedOnlyRHSKernel

 Moves the following functions
 - CLGEMM

Introduces facilities to easy handling of auxiliary temporary buffers
under then new run interface. Such are:
 - CLAuxTensorHandler: That allows wrapping of workspace buffers memory
 to CLBuffer objects
 - Ability to inject TensorInfo to allocator without transferring
 ownership. This reduce the copy overhead if needed.

Resolves: COMPMID-4188

Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I7055435d831b05b749b26302082e4ac45f26dfb0
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5498
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michalis Spyrou <michalis.spyrou@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/src/core/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedKernel.h b/src/core/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedKernel.h
new file mode 100644
index 0000000..ab648f1
--- /dev/null
+++ b/src/core/gpu/cl/kernels/ClGemmMatrixMultiplyReshapedKernel.h
@@ -0,0 +1,113 @@
+/*
+ * Copyright (c) 2018-2021 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_GEMM_MATRIXMULTIPLY_RESHAPED_KERNEL_H
+#define ARM_COMPUTE_CL_GEMM_MATRIXMULTIPLY_RESHAPED_KERNEL_H
+
+#include "src/core/common/Macros.h"
+#include "src/core/gpu/cl/ClCompileContext.h"
+#include "src/core/gpu/cl/IClKernel.h"
+
+#include "arm_compute/core/KernelDescriptors.h"
+
+namespace arm_compute
+{
+namespace opencl
+{
+namespace kernels
+{
+/** OpenCL kernel to multiply matrices when both the input matrices LHS (src0) and RHS (src1) have been reshaped
+ *
+ * @note The input matrices @p src0 and @p src1 must be reshaped through:
+ *  - @ref ClGemmReshapeLhsMatrixKernel
+ *  - @ref ClGemmReshapeRhsMatrixKernel
+ */
+class ClGemmMatrixMultiplyReshapedKernel : public IClKernel
+{
+public:
+    ClGemmMatrixMultiplyReshapedKernel() = default;
+    ARM_COMPUTE_DISALLOW_COPY_ALLOW_MOVE(ClGemmMatrixMultiplyReshapedKernel);
+    /** Initialise the kernel's input and output.
+     *
+     * @note The F16 computation also supports mixed precision through the gemm_info.fp_mixed_precision flag.
+     *       Mixed precision combines different floating precisions during the computation, in particular, F32 for the accumulations and F16 for the
+     *       multiplications. i.e. float c = (half)a * (half)b
+     *
+     * @note If rhs_info.export_to_cl_image = true, this OpenCL kernel will fetch the RHS data using the OpenCL read_image built-in function.
+     *       Reading from the OpenCL image object can increase the performance. However, since the OpenCL image object is created importing the OpenCL buffer,
+     *       the following conditions are required:
+     *       -# rhs_info.n0 can only be 4, 8 and 16
+     *       -# rhs_info.k0 can only be 4, 8 and 16
+     *       -# Data type can only be F32
+     *       -# The platform should support the OpenCL cl_khr_image2d_from_buffer extension
+     *       -# The stride Y for the src1 should satisfy the OpenCL pitch alignment requirement
+     *       -# src1 width should be less or equal to (CL_DEVICE_IMAGE2D_MAX_WIDTH * 4)
+     *       -# src1 (height * depth) should be less or equal to CL_DEVICE_IMAGE2D_MAX_HEIGHT
+     *
+     * @param[in]  compile_context The compile context to be used.
+     * @param[in]  src0            Input tensor containing the LHS reshaped matrix. Data type supported: F16/F32  (only F32 if rhs_info.export_to_cl_image = true). The number of dimensions for the LHS matrix must be less or equal than 4
+     * @param[in]  src1            Input tensor containing the RHS reshaped matrix. Data type supported: same as @p src0. The number of dimensions for the RHS matrix must be less or equal than 3
+     * @param[in]  src2            Input tensor containing the bias matrix. Data type supported: same as @p src0.
+     * @param[out] dst             dst tensor to store the result of matrix multiplication. Data type supported: same as @p src0
+     * @param[in]  alpha           Weight of the matrix product
+     * @param[in]  beta            Weight of the matrix bias
+     * @param[in]  lhs_info        LHS matrix information used for reshaping the src0 tensor.  Only the following values are supported:
+     *                             lhs_info.m0: 2,3,4,5,6,7,8
+     *                             lhs_info.k0: 2,3,4,8,16
+     *                             lhs_info.transpose: false
+     * @param[in]  rhs_info        RHS matrix information used for reshaping the src1 tensor.  Only the following values are supported:
+     *                             rhs_info.n0: 2,3,4,8,16 (only 4, 8 and 16 if rhs_info.export_to_cl_image = true)
+     *                             rhs_info.k0: 2,3,4,8,16 (only 4, 8 and 16 if rhs_info.export_to_cl_image = true)
+     *                             rhs_info.transpose: true
+     * @param[in]  gemm_info       GEMM information used to retrieve the original dimensions of the input matrices
+     *
+     * @note lhs_info.k0 must be equal to rhs_info.k0
+     */
+    void configure(const ClCompileContext &compile_context,
+                   ITensorInfo *src0, ITensorInfo *src1, ITensorInfo *src2, ITensorInfo *dst, float alpha, float beta,
+                   const GEMMLHSMatrixInfo &lhs_info, const GEMMRHSMatrixInfo &rhs_info, const GEMMKernelInfo &gemm_info);
+    /** Static function to check if given info will lead to a valid configuration
+     *
+     * Similar to @ref ClGemmMatrixMultiplyReshapedKernel::configure()
+     *
+     * @return a status
+     */
+    static Status validate(const ITensorInfo *src0, const ITensorInfo *src1, const ITensorInfo *src2, const ITensorInfo *dst, float alpha, float beta, const GEMMLHSMatrixInfo &lhs_info,
+                           const GEMMRHSMatrixInfo &rhs_info,
+                           const GEMMKernelInfo    &gemm_info);
+
+    // Inherited methods overridden:
+    void run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) override;
+
+private:
+    bool         _slide_matrix_b{ true };
+    bool         _reinterpret_output_as_3d{ false };
+    bool         _use_dummy_work_items{ false };
+    bool         _add_bias{ false };
+    bool         _export_to_cl_image{ false };
+    unsigned int _k{ 1 };
+};
+} // namespace kernels
+} // namespace opencl
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_CL_GEMM_MATRIXMULTIPLY_RESHAPED_KERNEL_H */
\ No newline at end of file