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Diffstat (limited to 'src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultConfigValhall.cpp')
-rw-r--r-- | src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultConfigValhall.cpp | 423 |
1 files changed, 423 insertions, 0 deletions
diff --git a/src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultConfigValhall.cpp b/src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultConfigValhall.cpp new file mode 100644 index 0000000000..01102b3d60 --- /dev/null +++ b/src/runtime/heuristics/matmul_native/ClMatMulNativeDefaultConfigValhall.cpp @@ -0,0 +1,423 @@ +/* + * Copyright (c) 2023 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/runtime/heuristics/matmul_native/ClMatMulNativeDefaultConfigValhall.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/KernelDescriptors.h" +#include "arm_compute/core/TensorInfo.h" +#include "src/gpu/cl/kernels/ClMatMulNativeKernel.h" +#include <utility> + +#include "src/runtime/heuristics/matmul_native/ClMatMulNativeHelpers.h" + +namespace arm_compute +{ +namespace cl_matmul +{ +ClMatMulNativeDefaultConfigValhall::ClMatMulNativeDefaultConfigValhall(GPUTarget gpu) + : IClMatMulNativeKernelConfig(gpu) +{ +} + +MatMulKernelInfo ClMatMulNativeDefaultConfigValhall::configure(const ITensorInfo *lhs, const ITensorInfo *rhs, const MatMulInfo &info) +{ + using ConfigurationFunctionExecutorPtr = MatMulKernelInfo (ClMatMulNativeDefaultConfigValhall::*)(unsigned int m, unsigned int n, unsigned int k, unsigned int b, bool rhs_lock_padding, const MatMulInfo & info); + + ClMatMulNativeConfigArray<ConfigurationFunctionExecutorPtr> configs_G710(&ClMatMulNativeDefaultConfigValhall::configure_G710_f32, + &ClMatMulNativeDefaultConfigValhall::configure_G710_f16, + &ClMatMulNativeDefaultConfigValhall::configure_G710_u8); + + ConfigurationFunctionExecutorPtr func = nullptr; + switch(_target) + { + case GPUTarget::G710: + default: + func = configs_G710.get_function(lhs->data_type()); + break; + } + + const bool adj_lhs = info.adj_lhs(); + const bool adj_rhs = info.adj_rhs(); + + TensorShape lhs_shape = lhs->tensor_shape(); + TensorShape rhs_shape = rhs->tensor_shape(); + + const bool is_batched = lhs_shape.num_dimensions() > 2; + + if(is_batched == true) + { + lhs_shape.collapse_from(2); + } + + const unsigned int m = adj_lhs ? lhs_shape.x() : lhs_shape.y(); + const unsigned int n = adj_rhs ? rhs_shape.y() : rhs_shape.x(); + const unsigned int k = adj_lhs ? lhs_shape.y() : lhs_shape.x(); + const unsigned int b = lhs_shape.z(); + + ARM_COMPUTE_ERROR_ON_MSG(func == nullptr, "Data type not supported for matmul native"); + return (this->*func)(m, n, k, b, rhs->lock_paddings(), info); +} + +MatMulKernelInfo ClMatMulNativeDefaultConfigValhall::configure_G710_f32(unsigned int m, unsigned int n, unsigned int k, unsigned int b, bool rhs_lock_padding, const MatMulInfo &info) +{ + const MatMulNativeConfigsMatrix configs_mnkb_best_nt_nt = + { + { 3136, 64, 64, 36, 4, 4, 16, 1 }, + { 4096, 48, 32, 36, 4, 4, 4, 1 }, + { 688, 92, 68, 32, 2, 8, 4, 1 }, + { 24, 464, 412, 24, 2, 8, 4, 1 }, + { 112, 184, 144, 28, 4, 4, 16, 1 }, + { 5776, 64, 32, 36, 2, 4, 16, 1 }, + { 1568, 64, 40, 36, 2, 8, 8, 1 }, + { 2920, 64, 64, 24, 4, 4, 16, 1 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_fallback_nt_nt = + { + { 3136, 64, 64, 36, 4, 4, 8, 0 }, + { 4096, 48, 32, 36, 4, 4, 8, 0 }, + { 688, 92, 68, 32, 5, 4, 4, 0 }, + { 24, 464, 412, 24, 6, 2, 8, 0 }, + { 112, 184, 144, 28, 6, 4, 4, 0 }, + { 5776, 64, 32, 36, 5, 4, 4, 0 }, + { 1568, 64, 40, 36, 4, 4, 8, 0 }, + { 2920, 64, 64, 24, 4, 4, 8, 0 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_best_nt_t = + { + { 3136, 64, 64, 36, 4, 4, 4, 1 }, + { 4096, 48, 32, 36, 2, 2, 16, 1 }, + { 688, 92, 68, 32, 4, 4, 4, 1 }, + { 24, 464, 412, 24, 6, 2, 8, 1 }, + { 112, 184, 144, 28, 4, 2, 16, 1 }, + { 5776, 64, 32, 36, 4, 4, 4, 1 }, + { 1568, 64, 40, 36, 4, 4, 8, 1 }, + { 2920, 64, 64, 24, 4, 4, 4, 1 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_fallback_nt_t = + { + { 3136, 64, 64, 36, 5, 4, 4, 0 }, + { 4096, 48, 32, 36, 5, 4, 4, 0 }, + { 688, 92, 68, 32, 5, 4, 4, 0 }, + { 24, 464, 412, 24, 6, 2, 4, 0 }, + { 112, 184, 144, 28, 5, 4, 4, 0 }, + { 5776, 64, 32, 36, 5, 4, 4, 0 }, + { 1568, 64, 40, 36, 5, 4, 4, 0 }, + { 2920, 64, 64, 24, 6, 2, 4, 0 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_best_t_nt = + { + { 3136, 64, 64, 36, 4, 4, 16, 1 }, + { 4096, 48, 32, 36, 4, 4, 4, 1 }, + { 688, 92, 68, 32, 2, 8, 4, 1 }, + { 24, 464, 412, 24, 2, 8, 4, 1 }, + { 112, 184, 144, 28, 4, 4, 16, 1 }, + { 5776, 64, 32, 36, 2, 8, 8, 1 }, + { 1568, 64, 40, 36, 4, 4, 8, 1 }, + { 2920, 64, 64, 24, 4, 4, 16, 1 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_fallback_t_nt = + { + { 3136, 64, 64, 36, 4, 4, 4, 0 }, + { 4096, 48, 32, 36, 4, 4, 4, 0 }, + { 688, 92, 68, 32, 4, 4, 4, 0 }, + { 24, 464, 412, 24, 4, 4, 4, 0 }, + { 112, 184, 144, 28, 4, 4, 4, 0 }, + { 5776, 64, 32, 36, 4, 4, 8, 0 }, + { 1568, 64, 40, 36, 4, 4, 4, 0 }, + { 2920, 64, 64, 24, 4, 4, 4, 0 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_best_t_t = + { + { 3136, 64, 64, 36, 4, 4, 4, 1 }, + { 4096, 48, 32, 36, 4, 4, 4, 1 }, + { 688, 92, 68, 32, 4, 4, 4, 1 }, + { 24, 464, 412, 24, 2, 2, 16, 1 }, + { 112, 184, 144, 28, 4, 4, 4, 1 }, + { 5776, 64, 32, 36, 4, 4, 4, 1 }, + { 1568, 64, 40, 36, 4, 4, 4, 1 }, + { 2920, 64, 64, 24, 4, 4, 4, 1 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_fallback_t_t = + { + { 3136, 64, 64, 36, 4, 4, 4, 0 }, + { 4096, 48, 32, 36, 4, 4, 4, 0 }, + { 688, 92, 68, 32, 4, 4, 4, 0 }, + { 24, 464, 412, 24, 4, 2, 8, 0 }, + { 112, 184, 144, 28, 4, 4, 4, 0 }, + { 5776, 64, 32, 36, 4, 4, 4, 0 }, + { 1568, 64, 40, 36, 4, 4, 4, 0 }, + { 2920, 64, 64, 24, 4, 4, 4, 0 } + }; + + const bool adj_lhs = info.adj_lhs(); + const bool adj_rhs = info.adj_rhs(); + + const MatMulNativeConfigsMatrix *configs_best_to_use = nullptr; + const MatMulNativeConfigsMatrix *configs_fallback_to_use = nullptr; + + if((adj_lhs == false) && (adj_rhs == false)) + { + configs_best_to_use = &configs_mnkb_best_nt_nt; + configs_fallback_to_use = &configs_mnkb_fallback_nt_nt; + } + else if((adj_lhs == false) && (adj_rhs == true)) + { + configs_best_to_use = &configs_mnkb_best_nt_t; + configs_fallback_to_use = &configs_mnkb_fallback_nt_t; + } + else if((adj_lhs == true) && (adj_rhs == false)) + { + configs_best_to_use = &configs_mnkb_best_t_nt; + configs_fallback_to_use = &configs_mnkb_fallback_t_nt; + } + else + { + configs_best_to_use = &configs_mnkb_best_t_t; + configs_fallback_to_use = &configs_mnkb_fallback_t_t; + } + + MatMulKernelInfo desc0 = find_info(*configs_best_to_use, adj_lhs, adj_rhs, m, n, k, b); + MatMulKernelInfo desc1 = find_info(*configs_fallback_to_use, adj_lhs, adj_rhs, m, n, k, b); + + return select_info(desc0, + desc1, + m, n, k, b, DataType::F32, rhs_lock_padding); +} + +MatMulKernelInfo ClMatMulNativeDefaultConfigValhall::configure_G710_f16(unsigned int m, unsigned int n, unsigned int k, unsigned int b, bool rhs_lock_padding, const MatMulInfo &info) +{ + const MatMulNativeConfigsMatrix configs_mnkb_best_nt_nt = + { + { 3136, 64, 64, 36, 4, 4, 16, 1 }, + { 4096, 48, 32, 36, 4, 4, 8, 1 }, + { 688, 92, 68, 32, 4, 4, 16, 1 }, + { 24, 464, 412, 24, 4, 4, 4, 1 }, + { 112, 184, 144, 28, 4, 4, 16, 1 }, + { 5776, 64, 32, 36, 4, 4, 8, 1 }, + { 1568, 64, 40, 36, 4, 4, 8, 1 }, + { 2920, 64, 64, 24, 4, 4, 16, 1 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_fallback_nt_nt = + { + { 3136, 64, 64, 36, 6, 4, 8, 0 }, + { 4096, 48, 32, 36, 6, 4, 8, 0 }, + { 688, 92, 68, 32, 6, 4, 8, 0 }, + { 24, 464, 412, 24, 4, 4, 8, 0 }, + { 112, 184, 144, 28, 6, 4, 8, 0 }, + { 5776, 64, 32, 36, 6, 4, 8, 0 }, + { 1568, 64, 40, 36, 6, 4, 8, 0 }, + { 2920, 64, 64, 24, 6, 4, 8, 0 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_best_nt_t = + { + { 3136, 64, 64, 36, 6, 4, 8, 1 }, + { 4096, 48, 32, 36, 6, 4, 8, 1 }, + { 688, 92, 68, 32, 4, 4, 4, 1 }, + { 24, 464, 412, 24, 6, 2, 4, 1 }, + { 112, 184, 144, 28, 4, 2, 16, 1 }, + { 5776, 64, 32, 36, 6, 4, 8, 1 }, + { 1568, 64, 40, 36, 6, 4, 8, 1 }, + { 2920, 64, 64, 24, 6, 4, 8, 1 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_fallback_nt_t = + { + { 3136, 64, 64, 36, 6, 2, 16, 0 }, + { 4096, 48, 32, 36, 5, 4, 8, 0 }, + { 688, 92, 68, 32, 6, 2, 16, 0 }, + { 24, 464, 412, 24, 6, 2, 16, 0 }, + { 112, 184, 144, 28, 6, 2, 16, 0 }, + { 5776, 64, 32, 36, 5, 4, 8, 0 }, + { 1568, 64, 40, 36, 5, 4, 8, 0 }, + { 2920, 64, 64, 24, 6, 2, 16, 0 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_best_t_nt = + { + { 3136, 64, 64, 36, 4, 4, 16, 1 }, + { 4096, 48, 32, 36, 4, 4, 4, 1 }, + { 688, 92, 68, 32, 4, 4, 4, 1 }, + { 24, 464, 412, 24, 4, 4, 4, 1 }, + { 112, 184, 144, 28, 4, 4, 4, 1 }, + { 5776, 64, 32, 36, 4, 4, 4, 1 }, + { 1568, 64, 40, 36, 4, 4, 4, 1 }, + { 2920, 64, 64, 24, 4, 4, 4, 1 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_fallback_t_nt = + { + { 3136, 64, 64, 36, 4, 4, 4, 0 }, + { 4096, 48, 32, 36, 4, 4, 4, 0 }, + { 688, 92, 68, 32, 4, 4, 4, 0 }, + { 24, 464, 412, 24, 4, 4, 4, 0 }, + { 112, 184, 144, 28, 4, 4, 4, 0 }, + { 5776, 64, 32, 36, 4, 4, 4, 0 }, + { 1568, 64, 40, 36, 4, 4, 4, 0 }, + { 2920, 64, 64, 24, 4, 4, 4, 0 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_best_t_t = + { + { 3136, 64, 64, 36, 4, 4, 16, 1 }, + { 4096, 48, 32, 36, 4, 4, 8, 1 }, + { 688, 92, 68, 32, 4, 4, 4, 1 }, + { 24, 464, 412, 24, 4, 2, 8, 1 }, + { 112, 184, 144, 28, 4, 2, 16, 1 }, + { 5776, 64, 32, 36, 4, 4, 16, 1 }, + { 1568, 64, 40, 36, 4, 4, 8, 1 }, + { 2920, 64, 64, 24, 4, 4, 16, 1 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_fallback_t_t = + { + { 3136, 64, 64, 36, 4, 4, 8, 0 }, + { 4096, 48, 32, 36, 4, 4, 8, 0 }, + { 688, 92, 68, 32, 4, 4, 8, 0 }, + { 24, 464, 412, 24, 4, 4, 8, 0 }, + { 112, 184, 144, 28, 4, 4, 8, 0 }, + { 5776, 64, 32, 36, 4, 4, 8, 0 }, + { 1568, 64, 40, 36, 4, 4, 8, 0 }, + { 2920, 64, 64, 24, 4, 4, 8, 0 } + }; + + const bool adj_lhs = info.adj_lhs(); + const bool adj_rhs = info.adj_rhs(); + + const MatMulNativeConfigsMatrix *configs_best_to_use = nullptr; + const MatMulNativeConfigsMatrix *configs_fallback_to_use = nullptr; + + if((adj_lhs == false) && (adj_rhs == false)) + { + configs_best_to_use = &configs_mnkb_best_nt_nt; + configs_fallback_to_use = &configs_mnkb_fallback_nt_nt; + } + else if((adj_lhs == false) && (adj_rhs == true)) + { + configs_best_to_use = &configs_mnkb_best_nt_t; + configs_fallback_to_use = &configs_mnkb_fallback_nt_t; + } + else if((adj_lhs == true) && (adj_rhs == false)) + { + configs_best_to_use = &configs_mnkb_best_t_nt; + configs_fallback_to_use = &configs_mnkb_fallback_t_nt; + } + else + { + configs_best_to_use = &configs_mnkb_best_t_t; + configs_fallback_to_use = &configs_mnkb_fallback_t_t; + } + + MatMulKernelInfo desc0 = find_info(*configs_best_to_use, adj_lhs, adj_rhs, m, n, k, b); + MatMulKernelInfo desc1 = find_info(*configs_fallback_to_use, adj_lhs, adj_rhs, m, n, k, b); + + return select_info(desc0, + desc1, + m, n, k, b, DataType::F16, rhs_lock_padding); +} + +MatMulKernelInfo ClMatMulNativeDefaultConfigValhall::configure_G710_u8(unsigned int m, unsigned int n, unsigned int k, unsigned int b, bool rhs_lock_padding, const MatMulInfo &info) +{ + ARM_COMPUTE_UNUSED(rhs_lock_padding); + + const MatMulNativeConfigsMatrix configs_mnkb_best_nt_nt = + { + { 3136, 64, 64, 36, 6, 4, 4, 0 }, + { 4096, 48, 32, 36, 6, 4, 4, 0 }, + { 688, 92, 68, 32, 2, 8, 4, 0 }, + { 24, 464, 412, 24, 4, 4, 4, 0 }, + { 112, 184, 144, 28, 6, 4, 4, 0 }, + { 5776, 64, 32, 36, 6, 4, 4, 0 }, + { 1568, 64, 40, 36, 6, 4, 4, 0 }, + { 2920, 64, 64, 24, 5, 4, 4, 0 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_best_nt_t = + { + { 3136, 64, 64, 36, 4, 4, 16, 0 }, + { 4096, 48, 32, 36, 4, 4, 16, 0 }, + { 688, 92, 68, 32, 4, 4, 16, 0 }, + { 24, 464, 412, 24, 6, 2, 16, 0 }, + { 112, 184, 144, 28, 4, 4, 16, 0 }, + { 5776, 64, 32, 36, 4, 4, 16, 0 }, + { 1568, 64, 40, 36, 6, 4, 4, 0 }, + { 2920, 64, 64, 24, 4, 4, 16, 0 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_best_t_nt = + { + { 3136, 64, 64, 36, 4, 4, 8, 0 }, + { 4096, 48, 32, 36, 4, 4, 8, 0 }, + { 688, 92, 68, 32, 4, 4, 4, 0 }, + { 24, 464, 412, 24, 4, 4, 4, 0 }, + { 112, 184, 144, 28, 4, 4, 8, 0 }, + { 5776, 64, 32, 36, 4, 4, 8, 0 }, + { 1568, 64, 40, 36, 4, 4, 8, 0 }, + { 2920, 64, 64, 24, 4, 4, 8, 0 } + }; + + const MatMulNativeConfigsMatrix configs_mnkb_best_t_t = + { + { 3136, 64, 64, 36, 4, 2, 16, 0 }, + { 4096, 48, 32, 36, 4, 4, 4, 0 }, + { 688, 92, 68, 32, 4, 4, 8, 0 }, + { 24, 464, 412, 24, 4, 2, 16, 0 }, + { 112, 184, 144, 28, 4, 2, 16, 0 }, + { 5776, 64, 32, 36, 4, 4, 4, 0 }, + { 1568, 64, 40, 36, 4, 4, 8, 0 }, + { 2920, 64, 64, 24, 4, 2, 16, 0 } + }; + + const bool adj_lhs = info.adj_lhs(); + const bool adj_rhs = info.adj_rhs(); + + if((adj_lhs == false) && (adj_rhs == false)) + { + return find_info(configs_mnkb_best_nt_nt, adj_lhs, adj_rhs, m, n, k, b); + } + else if((adj_lhs == false) && (adj_rhs == true)) + { + return find_info(configs_mnkb_best_nt_t, adj_lhs, adj_rhs, m, n, k, b); + } + else if((adj_lhs == true) && (adj_rhs == false)) + { + return find_info(configs_mnkb_best_t_nt, adj_lhs, adj_rhs, m, n, k, b); + } + else + { + return find_info(configs_mnkb_best_t_t, adj_lhs, adj_rhs, m, n, k, b); + } +} +} // namespace opencl +} // namespace arm_compute |