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>

1 files changed, 0 insertions, 350 deletions

diff --git a/src/core/CL/gemm/reshaped/CLGEMMDefaultConfigReshapedBifrost.cpp b/src/core/CL/gemm/reshaped/CLGEMMDefaultConfigReshapedBifrost.cpp
deleted file mode 100644
index 5877ab96e7..0000000000
--- a/src/core/CL/gemm/reshaped/CLGEMMDefaultConfigReshapedBifrost.cpp
+++ /dev/null
@@ -1,350 +0,0 @@
-/*
- * Copyright (c) 2019-2021 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.
- */
-#include "src/core/CL/gemm/reshaped/CLGEMMDefaultConfigReshapedBifrost.h"
-
-#include "arm_compute/core/CL/CLHelpers.h"
-#include "arm_compute/core/CL/CLKernelLibrary.h"
-#include "arm_compute/core/GPUTarget.h"
-#include "arm_compute/core/TensorInfo.h"
-#include "arm_compute/core/TensorShape.h"
-#include "arm_compute/core/utils/misc/ShapeCalculator.h"
-#include "src/core/CL/gemm/CLGEMMHelpers.h"
-
-#include <utility>
-
-namespace arm_compute
-{
-namespace cl_gemm
-{
-using namespace arm_compute::misc::shape_calculator;
-
-CLGEMMDefaultConfigReshapedBifrost::CLGEMMDefaultConfigReshapedBifrost(GPUTarget gpu)
-    : ICLGEMMKernelConfiguration(gpu)
-{
-}
-
-std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type)
-{
-    using ConfigurationFunctionExecutorPtr = std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> (CLGEMMDefaultConfigReshapedBifrost::*)(unsigned int m, unsigned int n, unsigned int k, unsigned int b);
-
-    CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G7x(&CLGEMMDefaultConfigReshapedBifrost::configure_G7x_f32,
-                                                                    &CLGEMMDefaultConfigReshapedBifrost::configure_G7x_f16,
-                                                                    &CLGEMMDefaultConfigReshapedBifrost::configure_G7x_u8);
-
-    CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G52(&CLGEMMDefaultConfigReshapedBifrost::configure_G52_f32,
-                                                                    &CLGEMMDefaultConfigReshapedBifrost::configure_G52_f16,
-                                                                    &CLGEMMDefaultConfigReshapedBifrost::configure_G7x_u8);
-
-    CLGEMMConfigArray<ConfigurationFunctionExecutorPtr> configs_G76(&CLGEMMDefaultConfigReshapedBifrost::configure_G76_f32,
-                                                                    &CLGEMMDefaultConfigReshapedBifrost::configure_G76_f16,
-                                                                    &CLGEMMDefaultConfigReshapedBifrost::configure_G76_u8);
-
-    ConfigurationFunctionExecutorPtr func = nullptr;
-
-    switch(_target)
-    {
-        case GPUTarget::G76:
-            func = configs_G76.get_function(data_type);
-            break;
-        case GPUTarget::G52:
-            func = configs_G52.get_function(data_type);
-            break;
-        default:
-            func = configs_G7x.get_function(data_type);
-            break;
-    }
-
-    ARM_COMPUTE_ERROR_ON_MSG(func == nullptr, "Data type not support for GEMM");
-    return (this->*func)(m, n, k, b);
-}
-
-std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::configure_G7x_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b)
-{
-    ARM_COMPUTE_UNUSED(k);
-    ARM_COMPUTE_UNUSED(b);
-
-    if(n <= 4)
-    {
-        return configure_lhs_rhs_info(m, n, 4, 2, 8, 16, 16, true, false, false, true);
-    }
-    else
-    {
-        return configure_lhs_rhs_info(m, n, 5, 4, 4, 2, 16, false, true, false, true);
-    }
-}
-
-std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::configure_G7x_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b)
-{
-    ARM_COMPUTE_UNUSED(k);
-    ARM_COMPUTE_UNUSED(b);
-
-    if(n <= 4)
-    {
-        return configure_lhs_rhs_info(m, n, 4, 2, 8, 8, 2, true, true, true, false);
-    }
-    else
-    {
-        return configure_lhs_rhs_info(m, n, 4, 8, 4, 4, 2, true, true, true, false);
-    }
-}
-
-std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::configure_G7x_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b)
-{
-    ARM_COMPUTE_UNUSED(k);
-    ARM_COMPUTE_UNUSED(b);
-
-    if(dot8_supported(CLKernelLibrary::get().get_device()))
-    {
-        if(n <= 4)
-        {
-            return configure_lhs_rhs_info(m, n, 4, 2, 16, 2, 2, true, false, false, true);
-        }
-        else
-        {
-            return configure_lhs_rhs_info(m, n, 4, 4, 16, 2, 2, true, false, false, true);
-        }
-    }
-    else
-    {
-        if(n <= 4)
-        {
-            return configure_lhs_rhs_info(m, n, 4, 2, 8, 2, 2, true, false, false, true);
-        }
-        else
-        {
-            return configure_lhs_rhs_info(m, n, 6, 4, 4, 2, 2, true, true, false, true);
-        }
-    }
-}
-
-std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::configure_G52_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b)
-{
-    const float r_mn     = static_cast<float>(m) / static_cast<float>(n);
-    const float workload = (static_cast<float>(m) * static_cast<float>(n) * static_cast<float>(b)) / 20.0f;
-    const float r_mk     = static_cast<float>(m) / static_cast<float>(k);
-    const float r_nk     = static_cast<float>(n) / static_cast<float>(k);
-
-    GEMMLHSMatrixInfo lhs_info_buf;
-    GEMMRHSMatrixInfo rhs_info_buf;
-    GEMMLHSMatrixInfo lhs_info_img;
-    GEMMRHSMatrixInfo rhs_info_img;
-
-    if(workload <= 274.4000f)
-    {
-        if(r_nk <= 0.7461f)
-        {
-            if(r_mn <= 21.1667f)
-            {
-                return configure_lhs_rhs_info(m, n, 4, 2, 4, 4, 4, false, true, true, false, false);
-            }
-            else
-            {
-                std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, true);
-                std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, false);
-
-                return select_lhs_rhs_info(std::make_pair(lhs_info_img, rhs_info_img),
-                                           std::make_pair(lhs_info_buf, rhs_info_buf),
-                                           n, k, b, DataType::F32);
-            }
-        }
-        else
-        {
-            std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, true);
-            std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, false);
-
-            return select_lhs_rhs_info(std::make_pair(lhs_info_img, rhs_info_img),
-                                       std::make_pair(lhs_info_buf, rhs_info_buf),
-                                       n, k, b, DataType::F32);
-        }
-    }
-    else
-    {
-        if(r_mk <= 17.3926f)
-        {
-            if(workload <= 542.4000f)
-            {
-                std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, true);
-                std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, false);
-
-                return select_lhs_rhs_info(std::make_pair(lhs_info_img, rhs_info_img),
-                                           std::make_pair(lhs_info_buf, rhs_info_buf),
-                                           n, k, b, DataType::F32);
-            }
-            else
-            {
-                std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, true, true, false, true, true);
-                std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, true, true, false, true, false);
-
-                return select_lhs_rhs_info(std::make_pair(lhs_info_img, rhs_info_img),
-                                           std::make_pair(lhs_info_buf, rhs_info_buf),
-                                           n, k, b, DataType::F32);
-            }
-        }
-        else
-        {
-            if(r_nk <= 0.5463f)
-            {
-                if(workload <= 11767.6001f)
-                {
-                    std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, true);
-                    std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, false);
-
-                    return select_lhs_rhs_info(std::make_pair(lhs_info_img, rhs_info_img),
-                                               std::make_pair(lhs_info_buf, rhs_info_buf),
-                                               n, k, b, DataType::F32);
-                }
-                else
-                {
-                    std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, true, true, false, true, true);
-                    std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 1, true, true, false, true, false);
-
-                    return select_lhs_rhs_info(std::make_pair(lhs_info_img, rhs_info_img),
-                                               std::make_pair(lhs_info_buf, rhs_info_buf),
-                                               n, k, b, DataType::F32);
-                }
-            }
-            else
-            {
-                std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, true);
-                std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 4, 2, true, true, false, true, false);
-
-                return select_lhs_rhs_info(std::make_pair(lhs_info_img, rhs_info_img),
-                                           std::make_pair(lhs_info_buf, rhs_info_buf),
-                                           n, k, b, DataType::F32);
-            }
-        }
-    }
-}
-
-std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::configure_G52_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b)
-{
-    ARM_COMPUTE_UNUSED(k);
-
-    const float workload = (static_cast<float>(m) * static_cast<float>(n) * static_cast<float>(b)) / 20.0f;
-
-    if(workload <= 323.4000f)
-    {
-        return configure_lhs_rhs_info(m, n, 2, 2, 8, 4, 8, false, false, false, true, false);
-    }
-    else
-    {
-        return configure_lhs_rhs_info(m, n, 4, 8, 4, 2, 2, true, true, true, false, false);
-    }
-}
-
-std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::configure_G76_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b)
-{
-    ARM_COMPUTE_UNUSED(k);
-    ARM_COMPUTE_UNUSED(b);
-
-    GEMMLHSMatrixInfo lhs_info_buf;
-    GEMMRHSMatrixInfo rhs_info_buf;
-    GEMMLHSMatrixInfo lhs_info_img;
-    GEMMRHSMatrixInfo rhs_info_img;
-
-    // Get lhs_info/rhs_info in case of OpenCL buffer
-    if(n <= 4)
-    {
-        std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 2, 8, 16, 16, true, false, false, true);
-    }
-    else
-    {
-        std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 2, 8, 16, false, false, false, true);
-    }
-
-    // Get lhs_info/rhs_info in case of OpenCL image
-    // Condition on the GPU workload
-    if((m / 4) * (n / 4) >= 2560)
-    {
-        // Big workload
-        std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 2, 8, true, true, true, false, true);
-    }
-    else
-    {
-        // Small workload
-        std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 2, 4, 4, 1, 1, true, true, true, false, true);
-    }
-
-    const TensorInfo  tensor_rhs_info(TensorShape(n, k, b), 1, DataType::F32);
-    const TensorShape shape = compute_rhs_reshaped_shape(tensor_rhs_info, rhs_info_img);
-    const TensorInfo  tensor_reshaped_info(shape, 1, DataType::F32);
-
-    // In case of vector by matrix with few work-items, we use the OpenCL buffer rather than the OpenCL image2d
-    const bool use_cl_image2d = (n <= 4) ? false : true;
-
-    if(bool(validate_image2d_support_on_rhs(tensor_reshaped_info, rhs_info_img)) && use_cl_image2d)
-    {
-        return std::make_pair(lhs_info_img, rhs_info_img);
-    }
-    else
-    {
-        return std::make_pair(lhs_info_buf, rhs_info_buf);
-    }
-}
-
-std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::configure_G76_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b)
-{
-    const float workload = (static_cast<float>(m) * static_cast<float>(n) * static_cast<float>(b)) / 20.0f;
-    const float r_mk     = static_cast<float>(m) / static_cast<float>(k);
-
-    if(workload <= 1595.2000f)
-    {
-        if(r_mk <= 2.1044f)
-        {
-            if(workload <= 870.4000f)
-            {
-                return configure_lhs_rhs_info(m, n, 2, 4, 4, 1, 2, true, false, true, false, false);
-            }
-            else
-            {
-                return configure_lhs_rhs_info(m, n, 4, 2, 4, 2, 2, false, false, true, false, false);
-            }
-        }
-        else
-        {
-            return configure_lhs_rhs_info(m, n, 4, 2, 4, 2, 2, false, false, true, false, false);
-        }
-    }
-    else
-    {
-        return configure_lhs_rhs_info(m, n, 4, 8, 4, 4, 2, true, true, true, false, false);
-    }
-}
-
-std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedBifrost::configure_G76_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b)
-{
-    ARM_COMPUTE_UNUSED(k);
-    ARM_COMPUTE_UNUSED(b);
-
-    if(n <= 4)
-    {
-        return configure_lhs_rhs_info(m, n, 4, 2, 16, 4, 1, false, false, false, true);
-    }
-    else
-    {
-        return configure_lhs_rhs_info(m, n, 4, 4, 16, 2, 2, false, true, false, true);
-    }
-}
-} // namespace cl_gemm
-} // namespace arm_compute