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diff --git a/src/core/CL/gemm/reshaped_only_rhs/CLGEMMDefaultConfigReshapedRHSOnlyValhall.cpp b/src/core/CL/gemm/reshaped_only_rhs/CLGEMMDefaultConfigReshapedRHSOnlyValhall.cpp
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+++ b/src/core/CL/gemm/reshaped_only_rhs/CLGEMMDefaultConfigReshapedRHSOnlyValhall.cpp
@@ -0,0 +1,259 @@
+/*
+ * Copyright (c) 2020 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_only_rhs/CLGEMMDefaultConfigReshapedRHSOnlyValhall.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 <map>
+#include <utility>
+
+namespace arm_compute
+{
+namespace cl_gemm
+{
+using namespace arm_compute::misc::shape_calculator;
+
+CLGEMMDefaultConfigReshapedRHSOnlyValhall::CLGEMMDefaultConfigReshapedRHSOnlyValhall(GPUTarget gpu)
+ : ICLGEMMKernelConfiguration(gpu)
+{
+}
+
+std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure(unsigned int m, unsigned int n, unsigned int k, unsigned int b, DataType data_type)
+{
+ using ConfigurationFunctionExecutorPtr = std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> (CLGEMMDefaultConfigReshapedRHSOnlyValhall::*)(unsigned int m, unsigned int n, unsigned int k,
+ unsigned int b);
+
+ // Configurations for Mali-G77
+ static std::map<DataType, ConfigurationFunctionExecutorPtr> gemm_configs_G77 =
+ {
+ { DataType::F32, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_f32 },
+ { DataType::F16, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_f16 },
+ { DataType::QASYMM8, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_u8 },
+ { DataType::QSYMM8, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_u8 },
+ { DataType::QASYMM8_SIGNED, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_u8 },
+ { DataType::QSYMM8_PER_CHANNEL, &CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_u8 }
+ };
+
+ switch(_target)
+ {
+ case GPUTarget::G77:
+ default:
+ if(gemm_configs_G77.find(data_type) != gemm_configs_G77.end())
+ {
+ return (this->*gemm_configs_G77[data_type])(m, n, k, b);
+ }
+ else
+ {
+ ARM_COMPUTE_ERROR("Not supported data type");
+ }
+ }
+}
+
+std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b)
+{
+ if(m == 1)
+ {
+ const float r_mn = static_cast<float>(m) / static_cast<float>(n);
+ const float r_mk = static_cast<float>(m) / static_cast<float>(k);
+
+ if(r_mk <= 0.0064484127797186375)
+ {
+ if(r_mn <= 0.0028273810748942196)
+ {
+ GEMMLHSMatrixInfo lhs_info_buf;
+ GEMMRHSMatrixInfo rhs_info_buf;
+ GEMMLHSMatrixInfo lhs_info_img;
+ GEMMRHSMatrixInfo rhs_info_img;
+
+ const unsigned int h0 = std::max(n / 4, 1U);
+ std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 1, 4, 8, 1, 16, false, true, false, false, true);
+ std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 1, 4, 4, 1, h0, false, 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
+ {
+ return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 8, false, true, false, false, false);
+ }
+ }
+ else
+ {
+ if(r_mk <= 0.020312500186264515)
+ {
+ return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, 4, false, true, false, false, false);
+ }
+ else
+ {
+ return configure_lhs_rhs_info(m, n, 1, 4, 16, 1, 16, false, true, false, true, false);
+ }
+ }
+ }
+ else
+ {
+ 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);
+
+ if(workload <= 1999.2000122070312)
+ {
+ if(workload <= 747.1999816894531)
+ {
+ return configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, false, true, false, true, false);
+ }
+ else
+ {
+ GEMMLHSMatrixInfo lhs_info_buf;
+ GEMMRHSMatrixInfo rhs_info_buf;
+ GEMMLHSMatrixInfo lhs_info_img;
+ GEMMRHSMatrixInfo rhs_info_img;
+ std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 2, false, false, false, true, true);
+ std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, false, 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_mn <= 0.03348214365541935)
+ {
+ if(r_mk <= 0.028125000186264515)
+ {
+ return configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, false, true, false, true, false);
+ }
+ else
+ {
+ GEMMLHSMatrixInfo lhs_info_buf;
+ GEMMRHSMatrixInfo rhs_info_buf;
+ GEMMLHSMatrixInfo lhs_info_img;
+ GEMMRHSMatrixInfo rhs_info_img;
+ std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 2, 4, 8, 1, 2, false, false, false, true, true);
+ std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 2, 2, 4, 1, 8, false, 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
+ {
+ GEMMLHSMatrixInfo lhs_info_buf;
+ GEMMRHSMatrixInfo rhs_info_buf;
+ GEMMLHSMatrixInfo lhs_info_img;
+ GEMMRHSMatrixInfo rhs_info_img;
+ std::tie(lhs_info_img, rhs_info_img) = configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 2, false, true, false, false, true);
+ std::tie(lhs_info_buf, rhs_info_buf) = configure_lhs_rhs_info(m, n, 4, 4, 4, 1, 16, false, 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> CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b)
+{
+ ARM_COMPUTE_UNUSED(k);
+ ARM_COMPUTE_UNUSED(b);
+
+ if(m == 1)
+ {
+ const unsigned int h0 = std::max(n / 2, 1U);
+ if(n <= 836.0)
+ {
+ return configure_lhs_rhs_info(m, n, 1, 2, 16, 1, h0, false, true, false, true, false);
+ }
+ else
+ {
+ return configure_lhs_rhs_info(m, n, 1, 2, 8, 1, h0, false, true, false, true, false);
+ }
+ }
+ else if(m < 128)
+ {
+ const int h0 = std::max(std::min(static_cast<int>(n / 4), static_cast<int>(256)), static_cast<int>(1));
+ if(k >= 512)
+ {
+ return configure_lhs_rhs_info(m, n, 2, 4, 16, 1, h0, false, true, false, false);
+ }
+ else
+ {
+ return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, h0, false, true, false, false);
+ }
+ }
+ else
+ {
+ const int h0 = std::max(std::min(static_cast<int>(n / 4), static_cast<int>(256)), static_cast<int>(1));
+ if(n >= 64)
+ {
+ return configure_lhs_rhs_info(m, n, 4, 4, 4, 1, h0, false, true, false, false);
+ }
+ else
+ {
+ if(k >= 512)
+ {
+ return configure_lhs_rhs_info(m, n, 2, 4, 16, 1, h0, false, true, false, false);
+ }
+ else
+ {
+ return configure_lhs_rhs_info(m, n, 2, 4, 8, 1, h0, false, true, false, false);
+ }
+ }
+ }
+}
+
+std::pair<GEMMLHSMatrixInfo, GEMMRHSMatrixInfo> CLGEMMDefaultConfigReshapedRHSOnlyValhall::configure_G77_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b)
+{
+ ARM_COMPUTE_UNUSED(k);
+ ARM_COMPUTE_UNUSED(b);
+
+ if(m == 1)
+ {
+ const unsigned int h0 = std::max(n / 2, 1U);
+ return configure_lhs_rhs_info(m, n, 1, 4, 16, 1, h0, false, true, false, true);
+ }
+ else
+ {
+ const int h0 = std::max(std::min(static_cast<int>(n / 4), static_cast<int>(256)), static_cast<int>(1));
+ if(m >= 28)
+ {
+ return configure_lhs_rhs_info(m, n, 4, 4, 16, 1, h0, false, true, false, true);
+ }
+ else
+ {
+ return configure_lhs_rhs_info(m, n, 2, 4, 16, 1, h0, false, true, false, true);
+ }
+ }
+}
+} // namespace cl_gemm
+} // namespace arm_compute