From c0d1c86b1bb1b4e129c292549845e00dfd8abfee Mon Sep 17 00:00:00 2001 From: Georgios Pinitas Date: Fri, 23 Mar 2018 15:13:15 +0000 Subject: COMPMID-734: CLTuner rework Change-Id: I8f20d6ea8a09869d71003e7b08e0d33775282f6c Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125802 Tested-by: Jenkins Reviewed-by: Anthony Barbier --- src/runtime/CL/tuners/BifrostTuner.cpp | 143 +++++++++++++++++++++++++++++++++ 1 file changed, 143 insertions(+) create mode 100644 src/runtime/CL/tuners/BifrostTuner.cpp (limited to 'src/runtime/CL/tuners/BifrostTuner.cpp') diff --git a/src/runtime/CL/tuners/BifrostTuner.cpp b/src/runtime/CL/tuners/BifrostTuner.cpp new file mode 100644 index 0000000000..c0ebd24afe --- /dev/null +++ b/src/runtime/CL/tuners/BifrostTuner.cpp @@ -0,0 +1,143 @@ +/* + * Copyright (c) 2018 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 "arm_compute/runtime/CL/tuners/BifrostTuner.h" + +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLKernels.h" +#include "arm_compute/core/utils/misc/Cast.h" + +namespace arm_compute +{ +namespace tuners +{ +namespace +{ +/** Tunes a @ref CLDirectConvolutionLayerKernel for a bifrost target + * + * @param[in] k Kernels to tune + */ +void tune_direct_convolution_kernel(CLDirectConvolutionLayerKernel &k) +{ + cl::NDRange lws_hint = k.lws_hint(); + + const GPUTarget gpu_target = k.get_target(); + const DataType dt = k._input->info()->data_type(); + const TensorShape weights_shape = k._weights->info()->tensor_shape(); + const TensorShape inputs_shape = k._input->info()->tensor_shape(); + const size_t kernel_size = weights_shape.x(); + const unsigned int stride_x = k._conv_stride_x; + const unsigned int stride_y = k._conv_stride_y; + + if(gpu_target_is_in(gpu_target, GPUTarget::G71, GPUTarget::G72) && (kernel_size <= 5) && (stride_x == 1) && (stride_y == 1) && (dt == DataType::F32)) + { + // Through extensive experimentation with over 30 representative tensor + // shapes, we found a small number of local work size configurations + // that result in nearly optimal execution times. Selecting the right + // lws for a given shape, however, required a complex decision tree, + // until we constructed a simple feature as described below. + // + // We started from the number of multiply-accumulate operations for a + // convolution layer, which is equal to the product of the input + // dimensions 0..2 and the weights dimensions 0..2. Unfortunately, + // this resulted in ties between distinct shapes that required distinct + // lws configurations. Replacing the width of the input with the kernel + // size, however, resulted in nearly optimal predictions. We use underscores + // in variable names to indicate when they are intentionally misleading. + const size_t product_of_weights_dimensions = weights_shape[0] * weights_shape[1] * weights_shape[2]; + const size_t product_of_input_dimensions_ = inputs_shape[0] * inputs_shape[1] * inputs_shape[2]; + const float mega_ops_ = 1e-6 * product_of_weights_dimensions * product_of_input_dimensions_; + + switch(kernel_size) + { + case 1: + { + if(mega_ops_ < 1.f) + { + lws_hint = cl::NDRange(1, 1, 8); + } + else if(mega_ops_ < 7.f) + { + lws_hint = cl::NDRange(1, 1, 4); + } + else + { + lws_hint = cl::NDRange(1, 1, 2); + } + break; + } + case 3: + { + if(mega_ops_ < 1.f) + { + lws_hint = cl::NDRange(1, 1, 8); + } + else if(mega_ops_ < 13.f) + { + lws_hint = cl::NDRange(2, 1, 4); + } + else if(mega_ops_ < 50.f) + { + lws_hint = cl::NDRange(3, 1, 4); + } + else + { + lws_hint = cl::NDRange(2, 1, 6); + } + break; + } + case 5: + { + if(mega_ops_ < 2.f || mega_ops_ > 80.f) + { + lws_hint = cl::NDRange(2, 1, 4); + } + else + { + lws_hint = cl::NDRange(2, 1, 8); + } + break; + } + default: + break; + } + k.set_lws_hint(lws_hint); + } +} +} // namespace + +void BifrostTuner::tune_kernel_static(ICLKernel &kernel) +{ + // Continue on tuning if dynamic tuning + if(dynamic_cast(&kernel) != nullptr) + { + tune_direct_convolution_kernel(*utils::cast::polymorphic_downcast(&kernel)); + } +} + +void BifrostTuner::tune_kernel_dynamic(ICLKernel &kernel) +{ + ARM_COMPUTE_UNUSED(kernel); +} +} // namespace tuners +} // namespace arm_compute \ No newline at end of file -- cgit v1.2.1