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Diffstat (limited to 'examples/dynamic_fusion/cl_ref_conv2d_elementwise_add.cpp')
-rw-r--r-- | examples/dynamic_fusion/cl_ref_conv2d_elementwise_add.cpp | 238 |
1 files changed, 0 insertions, 238 deletions
diff --git a/examples/dynamic_fusion/cl_ref_conv2d_elementwise_add.cpp b/examples/dynamic_fusion/cl_ref_conv2d_elementwise_add.cpp deleted file mode 100644 index 3aedcc0f41..0000000000 --- a/examples/dynamic_fusion/cl_ref_conv2d_elementwise_add.cpp +++ /dev/null @@ -1,238 +0,0 @@ -/* - * Copyright (c) 2022 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. - */ -#ifndef ARM_COMPUTE_CL /* Needed by Utils.cpp to handle OpenCL exceptions properly */ -#error "This example needs to be built with -DARM_COMPUTE_CL" -#endif /* ARM_COMPUTE_CL */ - -#include "arm_compute/core/Types.h" -#include "arm_compute/runtime/CL/CLScheduler.h" -#include "arm_compute/runtime/CL/CLTensor.h" -#include "arm_compute/runtime/CL/CLTuner.h" -#include "arm_compute/runtime/CL/functions/CLDirectConvolutionLayer.h" -#include "arm_compute/runtime/CL/functions/CLElementwiseOperations.h" - -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "utils/TypePrinter.h" -#include "utils/Utils.h" - -#include <cstdlib> - -using namespace arm_compute; -using namespace utils; - -#define TICK(clock_name) \ - auto clock_name##_tick = std::chrono::high_resolution_clock::now(); -#define TOCK(clock_name, measurement_map) \ - auto clock_name##_tock = std::chrono::high_resolution_clock::now(); \ - measurement_map["\"" #clock_name "\""] = duration_cast<microseconds>(clock_name##_tock - clock_name##_tick); -#define TOCK_AVG(clock_name, measurement_map, num_iterations) \ - auto clock_name##_tock = std::chrono::high_resolution_clock::now(); \ - measurement_map["\"" #clock_name "\""] = duration_cast<microseconds>((clock_name##_tock - clock_name##_tick) / (num_iterations)); - -using std::chrono::duration_cast; -using std::chrono::microseconds; -/** A reference for comparing against the fusion of a direct convolution with an elementwise addition: - * examples/dynamic_fusion/cl_fused_conv2d_elementwise_add.cpp - */ -class ClRefConv2dEltwiseAddExample : public Example -{ -public: - bool do_setup(int argc, char **argv) override - { - size_t ih; - size_t iw; - size_t ifm; - size_t wh; - size_t ww; - size_t ofm; - size_t tuner_choice; - unsigned int pad_x; - unsigned int pad_y; - if(argc < 10) - { - // Print help - std::cout << "Usage: ./cl_ref_conv2d_elementwise_add ih iw ifm wh ww ofm tuner_choice(0=Disable, 1=Rapid, 2=Normal, 3=Exhaustive) pad_x pad_y\n"; - std::cout << "Too few or no input_matrices provided. Using shape config = SRGAN_0, tuner_choice=2\n\n"; - ih = 512; - iw = 512; - ifm = 64; - wh = 1; - ww = 1; - ofm = 3; - tuner_choice = 2; - pad_x = 0; - pad_y = 0; - } - else - { - ih = strtol(argv[1], nullptr, 10); - iw = strtol(argv[2], nullptr, 10); - ifm = strtol(argv[3], nullptr, 10); - wh = strtol(argv[4], nullptr, 10); - ww = strtol(argv[5], nullptr, 10); - ofm = strtol(argv[6], nullptr, 10); - tuner_choice = strtol(argv[7], nullptr, 10); - pad_x = strtol(argv[8], nullptr, 10); - pad_y = strtol(argv[9], nullptr, 10); - } - - CLTuner *tuner_to_use; - switch(tuner_choice) - { - case 0: - { - tuner_to_use = nullptr; - break; - } - case 1: - { - tuner.set_tuner_mode(CLTunerMode::RAPID); - tuner_to_use = &tuner; - break; - } - case 3: - { - tuner.set_tuner_mode(CLTunerMode::EXHAUSTIVE); - tuner_to_use = &tuner; - break; - } - case 2: - default: - { - tuner.set_tuner_mode(CLTunerMode::NORMAL); - tuner_to_use = &tuner; - break; - } - } - - CLScheduler::get().default_init(tuner_to_use); - - TICK(startup_time); - TICK(configure); - - /* Computation: - * out = add_desc(addend, conv2d1x1(direct_conv)(input, weights, bias)) - */ - const auto data_type = DataType::F32; - const auto data_layout = DataLayout::NHWC; - const PadStrideInfo conv_info{ 1, 1, pad_x, pad_y }; - const auto t_input_shape = TensorShape(ifm, iw, ih); - const auto t_weight_shape = TensorShape(ifm, ww, wh, ofm); - const auto t_bias_shape = TensorShape(ofm); - const auto t_l1_addend_shape = TensorShape(ofm, iw); - const auto t_dst_shape = misc::shape_calculator::compute_deep_convolution_shape(t_input_shape, data_layout, t_weight_shape, conv_info); - std::cout << "input_shape: " << t_input_shape << std::endl; - std::cout << "weight_shape: " << t_weight_shape << std::endl; - std::cout << "bias_shape: " << t_bias_shape << std::endl; - std::cout << "addend_shape: " << t_l1_addend_shape << std::endl; - std::cout << "dst_shape: " << t_dst_shape << std::endl; - auto t_input_info = TensorInfo(t_input_shape, 1, data_type, data_layout); - auto t_weight_info = TensorInfo(t_weight_shape, 1, data_type, data_layout); - auto t_bias_info = TensorInfo(t_bias_shape, 1, data_type, data_layout); - auto t_l0_dst_info = TensorInfo(t_dst_shape, 1, data_type, data_layout); // Intermediate tensor for cond3 - auto t_l1_addend_info = TensorInfo(t_l1_addend_shape, 1, data_type, data_layout); - auto t_dst_info = TensorInfo(t_dst_shape, 1, data_type, data_layout); - - // Init tensors - { - t_input.allocator()->init(t_input_info); - t_weight.allocator()->init(t_weight_info); - t_bias.allocator()->init(t_bias_info); - t_l1_addend.allocator()->init(t_dst_info); - t_l0_dst.allocator()->init(t_l0_dst_info); - t_dst.allocator()->init(t_dst_info); - } - - op0.configure(&t_input, &t_weight, &t_bias, &t_l0_dst, conv_info); - op1.configure(&t_l0_dst, &t_l1_addend, &t_dst, ConvertPolicy{}); - TOCK(configure, measurements); - - TICK(tensor_allocation); - // Construct tensors - // Allocate and fill tensors - { - t_input.allocator()->allocate(); - t_weight.allocator()->allocate(); - t_bias.allocator()->allocate(); - t_l1_addend.allocator()->allocate(); - t_l0_dst.allocator()->allocate(); - t_dst.allocator()->allocate(); - fill_random_tensor(t_input, -1.f, 1.f); - fill_random_tensor(t_weight, -1.f, 1.f); - fill_random_tensor(t_bias, -1.f, 1.f); - fill_random_tensor(t_l1_addend, -1.f, 1.f); - } - TOCK(tensor_allocation, measurements); - // Dummy run for CLTuner - TICK(dummy_run); - op0.run(); - CLScheduler::get().sync(); - TOCK(dummy_run, measurements); - TOCK(startup_time, measurements); - return true; - } - void do_run() override - { - // Run the ops - op0.run(); - op1.run(); - - // Make sure all the OpenCL jobs are done executing: - CLScheduler::get().sync(); - } - - void do_teardown() override - { - for(auto m : measurements) - { - std::cout << m.first << ": " << m.second.count() << "us" << std::endl; - } - } - -private: - CLTensor t_input{}; - CLTensor t_weight{}; - CLTensor t_bias{}; - CLTensor t_l1_addend{}; - CLTensor t_l0_dst{}; - CLTensor t_dst{}; - CLDirectConvolutionLayer op0{}; - CLArithmeticAddition op1{}; - CLTuner tuner{}; - std::map<std::string, std::chrono::microseconds> measurements{}; -}; - -/** Main program for sgemm test - * - * @param[in] argc Number of arguments - * @param[in] argv Arguments ( [optional] Matrix A, [optional] Matrix B, [optional] Matrix C, [optional] alpha, [optional] beta ) - */ -int main(int argc, char **argv) -{ - return utils::run_example<ClRefConv2dEltwiseAddExample>(argc, argv); -} - -#undef TICK -#undef TOCK -#undef TOCK_AVG
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