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-rw-r--r--src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.cpp356
1 files changed, 0 insertions, 356 deletions
diff --git a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.cpp b/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.cpp
deleted file mode 100644
index b030913a87..0000000000
--- a/src/core/gpu/cl/kernels/gemm/reshaped/ClGemmDefaultConfigReshapedBifrost.cpp
+++ /dev/null
@@ -1,356 +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/gpu/cl/kernels/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/gpu/cl/kernels/gemm/ClGemmHelpers.h"
-
-#include <utility>
-
-namespace arm_compute
-{
-namespace opencl
-{
-namespace kernels
-{
-namespace gemm
-{
-using namespace arm_compute::misc::shape_calculator;
-
-ClGemmDefaultConfigReshapedBifrost::ClGemmDefaultConfigReshapedBifrost(GPUTarget gpu)
- : IClGemmKernelConfig(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 gemm
-} // namespace kernels
-} // namespace opencl
-} // namespace arm_compute
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