diff options
-rw-r--r-- | src/core/Utils.cpp | 1 | ||||
-rw-r--r-- | tests/validate_examples/cl_gemm.cpp | 375 | ||||
-rw-r--r-- | tests/validate_examples/cl_sgemm.cpp | 168 |
3 files changed, 376 insertions, 168 deletions
diff --git a/src/core/Utils.cpp b/src/core/Utils.cpp index b5663e63e4..b1c59924a7 100644 --- a/src/core/Utils.cpp +++ b/src/core/Utils.cpp @@ -157,6 +157,7 @@ const std::string &arm_compute::string_from_data_type(DataType dt) { DataType::F32, "F32" }, { DataType::F64, "F64" }, { DataType::SIZET, "SIZET" }, + { DataType::QASYMM8, "QASYMM8" }, }; return dt_map[dt]; diff --git a/tests/validate_examples/cl_gemm.cpp b/tests/validate_examples/cl_gemm.cpp new file mode 100644 index 0000000000..f37e073dc3 --- /dev/null +++ b/tests/validate_examples/cl_gemm.cpp @@ -0,0 +1,375 @@ +/* + * Copyright (c) 2017-2018 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. + */ +#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/core/utils/quantization/AsymmHelpers.h" +#include "arm_compute/runtime/CL/CLFunctions.h" +#include "arm_compute/runtime/CL/CLScheduler.h" + +#include "tests/AssetsLibrary.h" +#include "tests/CL/CLAccessor.h" +#include "tests/Globals.h" +#include "tests/IAccessor.h" +#include "tests/SimpleTensor.h" +#include "tests/validation/Validation.h" +#include "tests/validation/reference/GEMM.h" +#include "tests/validation/reference/GEMMLowp.h" + +#include "ValidateExample.h" + +#include "utils/Utils.h" + +#include <cstdlib> + +using namespace arm_compute; +using namespace utils; +using namespace arm_compute::test; +using namespace arm_compute::test::validation; + +constexpr float abs_tolerance_f32(0.0001f); /**< F32 Absolute tolerance value for comparing reference's output against implementation's output for + * floating point data types in case using relative tolerance fails because of small values */ +RelativeTolerance<float> tolerance_f32(0.001f); /**< F32 Tolerance value for comparing reference's output against implementation's output for floating point data types */ +RelativeTolerance<half_float::half> tolerance_f16(half(0.2)); /**< F16 Tolerance value for comparing reference's output against implementation's output for floating point data types */ +constexpr float tolerance_num_f16 = 0.02f; /**< F16 Tolerance number */ + +class CLGEMMValidateExample : public ValidateExample +{ +public: + void do_setup(int argc, char **argv) override + { + CLScheduler::get().default_init(); + if(argc == 2) + { + size_t dt = strtol(argv[1], nullptr, 10); + switch(dt) + { + case 1: + { + data_type = DataType::F16; + std::cout << "Usage: " << argv[0] << "1 M N K [alpha = 1.0f] [beta = 0.0f]\n"; + std::cout << "Using default values: Datatype=FP16 M=7, N=3, K=5, alpha=1.0f and beta=0.0f\n"; + break; + } + case 2: + { + data_type = DataType::QASYMM8; + std::cout << "Usage: " << argv[0] << "2 M N K [scale_src0 = 0.1f] [offset_scr0 = f] [scale_scr1 = 0.1f] [offset_scr1 = 10] [scale_dst = 0.1f] [offset_dst = 10] [bias = 1]\n"; + std::cout << + "Using default values: Datatype=QASYMM8 M=7, N=3, K=5, scale_src0 =(1.0f/255), offset_src0 = 10, scale_src1 =(1.0f/255), offset_src1 = 10, scale_dst =(1.0f/255), offset_dst = 10, bias=1\n\n"; + break; + } + case 0: + default: + { + data_type = DataType::F32; + std::cout << "Usage: " << argv[0] << "0 M N K [alpha = 1.0f] [beta = 0.0f]\n"; + std::cout << "Using default values: Datatype=FP32 M=7, N=3, K=5, alpha=1.0f and beta=0.0f\n"; + } + } + } + else if(argc < 5) + { + // Print help + std::cout << "Usage with datatype = FP32 : " << argv[0] << "0 M N K [alpha = 1.0f] [beta = 0.0f]\n"; + std::cout << " datatype = FP16 : " << argv[0] << "1 M N K [alpha = 1.0f] [beta = 0.0f]\n"; + std::cout << " datatype = QASYMM8 : " << argv[0] << "2 M N K [scale_src0 = 0.1f] [offset_scr0 = f] [scale_scr1 = 0.1f] [offset_scr1 = 10] [scale_dst = 0.1f] [offset_dst = 10] [bias = 1]\n"; + std::cout << "Too few or no arguments provided.\n"; + std::cout << "Using default values: Datatype=FP32 M=7, N=3, K=5, alpha=1.0f and beta=0.0f\n"; + } + else + { + size_t dt = strtol(argv[1], nullptr, 10); + switch(dt) + { + case 1: + { + data_type = DataType::F16; + break; + } + case 2: + { + data_type = DataType::QASYMM8; + break; + } + case 0: + default: + data_type = DataType::F32; + } + M = strtol(argv[2], nullptr, 10); + N = strtol(argv[3], nullptr, 10); + K = strtol(argv[4], nullptr, 10); + } + + switch(data_type) + { + case DataType::F16: + case DataType::F32: + { + if(argc > 5) + { + alpha = strtof(argv[5], nullptr); + if(argc > 6) + { + beta = strtof(argv[6], nullptr); + } + } + break; + } + case DataType::QASYMM8: + { + if(argc > 5) + { + scale_src0 = strtof(argv[5], nullptr); + if(argc > 6) + { + offset_src0 = strtol(argv[6], nullptr, 10); + if(argc > 7) + { + scale_src1 = strtof(argv[7], nullptr); + if(argc > 8) + { + offset_src1 = strtol(argv[8], nullptr, 10); + if(argc > 9) + { + scale_dst = strtof(argv[9], nullptr); + if(argc > 10) + { + offset_dst = strtol(argv[10], nullptr, 10); + if(argc > 11) + { + add_bias = (strtol(argv[11], nullptr, 10) == 1); + } + } + } + } + } + } + } + float multiplier = scale_src0 * scale_src1 / scale_dst; + quantization::calculate_quantized_multiplier_less_than_one(multiplier, &dst_multiplier, &dst_shift); + break; + } + default: + break; + } + + src0.allocator()->init(TensorInfo(TensorShape(K, M), 1, data_type)); + src1.allocator()->init(TensorInfo(TensorShape(N, K), 1, data_type)); + src2.allocator()->init(TensorInfo(TensorShape(N, M), 1, data_type)); + init_sgemm_output(dst, src0, src1, data_type); + + // Configure function + if(data_type == DataType::QASYMM8) + { + src0.info()->set_quantization_info(QuantizationInfo(scale_src0, offset_src0)); + src1.info()->set_quantization_info(QuantizationInfo(scale_src1, offset_src1)); + dst.info()->set_quantization_info(QuantizationInfo(scale_dst, offset_dst)); + biases.allocator()->init(TensorInfo(TensorShape(N), 1, DataType::S32)); + init_sgemm_output(tmp_dst, src0, src1, DataType::S32); + + // Configure GEMMlowp matrix multiply function + mm_gemmlowp.configure(&src0, &src1, &tmp_dst); + + // Configure GEMMlowp output stage + mm_gemmlowp_output_stage.configure(&tmp_dst, add_bias ? &biases : nullptr, &dst, dst_multiplier, dst_shift, offset_dst); + tmp_dst.allocator()->allocate(); + biases.allocator()->allocate(); + fill(CLAccessor(biases), 3); + } + else + { + // Configure matrix multiply function + mm_gemm.configure(&src0, &src1, &src2, &dst, alpha, beta); + } + + // Allocate all the tensors + src0.allocator()->allocate(); + src1.allocator()->allocate(); + dst.allocator()->allocate(); + src2.allocator()->allocate(); + + fill(CLAccessor(src0), 0); + fill(CLAccessor(src1), 1); + fill(CLAccessor(src2), 2); + } + + void print_parameters(framework::Printer &printer) override + { + printer.print_entry("Datatype", string_from_data_type(data_type)); + printer.print_entry("M", support::cpp11::to_string(M)); + printer.print_entry("N", support::cpp11::to_string(N)); + printer.print_entry("K", support::cpp11::to_string(K)); + if(data_type == DataType::QASYMM8) + { + printer.print_entry("Scale_Src0", support::cpp11::to_string(scale_src0)); + printer.print_entry("Offset_Src0", support::cpp11::to_string(offset_src0)); + printer.print_entry("Scale_Scr1", support::cpp11::to_string(scale_src1)); + printer.print_entry("Offset_Src1", support::cpp11::to_string(offset_src1)); + printer.print_entry("Scale_Dst", support::cpp11::to_string(scale_dst)); + printer.print_entry("Offset_Dst", support::cpp11::to_string(offset_dst)); + printer.print_entry("Bias", support::cpp11::to_string(add_bias)); + } + else + { + printer.print_entry("Alpha", support::cpp11::to_string(alpha)); + printer.print_entry("Beta", support::cpp11::to_string(beta)); + } + } + + void do_validate() override + { + switch(data_type) + { + case DataType::F16: + { + SimpleTensor<half> ref_src0 = { TensorShape(K, M), data_type, 1 }; + SimpleTensor<half> ref_src1 = { TensorShape(N, K), data_type, 1 }; + SimpleTensor<half> ref_src2 = { TensorShape(N, M), data_type, 1 }; + + fill(ref_src0, 0); + fill(ref_src1, 1); + fill(ref_src2, 2); + + SimpleTensor<half> ref_dst = reference::gemm<half>(ref_src0, ref_src1, ref_src2, alpha, beta); + validate(CLAccessor(dst), ref_dst, tolerance_f16, tolerance_num_f16); + break; + } + case DataType::F32: + { + SimpleTensor<float> ref_src0 = { TensorShape(K, M), data_type, 1 }; + SimpleTensor<float> ref_src1 = { TensorShape(N, K), data_type, 1 }; + SimpleTensor<float> ref_src2 = { TensorShape(N, M), data_type, 1 }; + + fill(ref_src0, 0); + fill(ref_src1, 1); + fill(ref_src2, 2); + + SimpleTensor<float> ref_dst = reference::gemm<float>(ref_src0, ref_src1, ref_src2, alpha, beta); + validate(CLAccessor(dst), ref_dst, tolerance_f32, 0.f, abs_tolerance_f32); + break; + } + case DataType::QASYMM8: + { + SimpleTensor<uint8_t> ref_src0{ TensorShape(K, M), data_type, 1 }; + SimpleTensor<uint8_t> ref_src1{ TensorShape(N, K), data_type, 1 }; + SimpleTensor<uint8_t> ref_dst; + + // Fill reference + fill(ref_src0, 0); + fill(ref_src1, 1); + + SimpleTensor<int32_t> ref_tmp_dst = reference::gemmlowp_matrix_multiply_core<int32_t, uint8_t>(ref_src0, ref_src1, offset_src0, offset_src1); + + if(add_bias) + { + SimpleTensor<int32_t> biases{ TensorShape(N), DataType::S32, 1 }; + // Fill bias + fill(biases, 3); + ref_dst = reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint<int32_t>(ref_tmp_dst, biases, dst_multiplier, dst_shift, offset_dst); + } + else + { + ref_dst = reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint<int32_t>(ref_tmp_dst, dst_multiplier, dst_shift, offset_dst); + } + validate(CLAccessor(dst), ref_dst); + break; + } + default: + break; + } + } + void do_run() override + { + // Execute the function + if(data_type == DataType::QASYMM8) + { + // Run gemmlowp + mm_gemmlowp.run(); + // Run output stage + mm_gemmlowp_output_stage.run(); + } + else + { + // Run gemm + mm_gemm.run(); + } + + // Make sure all the OpenCL jobs are done executing: + CLScheduler::get().sync(); + } + +private: + template <typename U> + void fill(U &&tensor, int i) + { + switch(tensor.data_type()) + { + case DataType::F16: + case DataType::F32: + { + std::uniform_real_distribution<> distribution(-1.0f, 1.0f); + library->fill(tensor, distribution, i); + break; + } + case DataType::S32: + case DataType::QASYMM8: + { + std::uniform_int_distribution<> distribution(-6000, 6000); + library->fill(tensor, distribution, i); + break; + } + default: + library->fill_tensor_uniform(tensor, i); + } + } + + CLTensor src0{}, src1{}, src2{}, dst{}; + CLTensor tmp_dst{}, biases{}; + + CLGEMM mm_gemm{}; + CLGEMMLowpMatrixMultiplyCore mm_gemmlowp{}; + CLGEMMLowpQuantizeDownInt32ToUint8ScaleByFixedPoint mm_gemmlowp_output_stage{}; + + size_t M{ 7 }, N{ 3 }, K{ 5 }; + DataType data_type{ DataType::F32 }; + float alpha{ 1.0 }, beta{ 0.0 }; + int offset_src0{ 10 }, offset_src1{ 10 }, offset_dst{ 10 }; + float scale_src0{ 1.0f / 255 }, scale_src1{ 1.0f / 255 }, scale_dst{ 1.0f / 255 }; + int32_t dst_multiplier{ 0 }, dst_shift{ 0 }; + bool add_bias{ true }; +}; + +/** Main program for gemm test + * + * @param[in] argc Number of arguments + * @param[in] argv Arguments ( [optional] datatype, [optional] M, [optional] N, [optional] K, [optional] scale_src0, [optional] offset_src0, [optional] scale_src1, [optional] offset_src1, [optional] scale_dst, [optional] offset_dst, [optional] bias, [optional] alpha, [optional] beta ) + * + */ +int main(int argc, char **argv) +{ + return utils::run_example<CLGEMMValidateExample>(argc, argv); +} diff --git a/tests/validate_examples/cl_sgemm.cpp b/tests/validate_examples/cl_sgemm.cpp deleted file mode 100644 index 8b4b98af53..0000000000 --- a/tests/validate_examples/cl_sgemm.cpp +++ /dev/null @@ -1,168 +0,0 @@ -/* - * Copyright (c) 2017-2018 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. - */ -#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/CLFunctions.h" -#include "arm_compute/runtime/CL/CLScheduler.h" -#include "arm_compute/runtime/CL/CLTuner.h" - -#include "tests/AssetsLibrary.h" -#include "tests/CL/CLAccessor.h" -#include "tests/Globals.h" -#include "tests/IAccessor.h" -#include "tests/SimpleTensor.h" -#include "tests/validation/Validation.h" -#include "tests/validation/reference/GEMM.h" - -#include "ValidateExample.h" - -#include "utils/Utils.h" - -#include <cstdlib> - -using namespace arm_compute; -using namespace utils; -using namespace arm_compute::test; -using namespace arm_compute::test::validation; - -RelativeTolerance<float> tolerance_f32(0.001f); /**< Tolerance value for comparing reference's output against implementation's output for floating point data types */ -constexpr float tolerance_num = 0.02f; /**< Tolerance number */ - -class CLSGEMMValidateExample : public ValidateExample -{ -public: - void do_setup(int argc, char **argv) override - { - alpha = 1.0f; - beta = 0.0f; - - CLScheduler::get().default_init(&tuner); - if(argc < 3) - { - // Print help - std::cout << "Usage: " << argv[0] << " M N K [alpha = 1.0f] [beta = 0.0f]\n\n"; - std::cout << "Too few or no input_matrices provided. Using M=7, N=3, K=5, alpha=1.0f and beta=0.0f\n\n"; - } - else - { - M = strtol(argv[1], nullptr, 10); - N = strtol(argv[2], nullptr, 10); - K = strtol(argv[3], nullptr, 10); - } - - src0.allocator()->init(TensorInfo(TensorShape(K, M), 1, DataType::F32)); - src1.allocator()->init(TensorInfo(TensorShape(N, K), 1, DataType::F32)); - src2.allocator()->init(TensorInfo(TensorShape(N, M), 1, DataType::F32)); - - if(argc > 4) - { - alpha = strtof(argv[4], nullptr); - - if(argc > 5) - { - beta = strtof(argv[5], nullptr); - } - } - - init_sgemm_output(dst, src0, src1, DataType::F32); - - // Configure function - sgemm.configure(&src0, &src1, (src2.info()->total_size() > 0) ? &src2 : nullptr, &dst, alpha, beta); - - // Allocate all the images - src0.allocator()->allocate(); - src1.allocator()->allocate(); - dst.allocator()->allocate(); - - // Fill the input images with either the data provided or random data - src2.allocator()->allocate(); - - fill(CLAccessor(src0), 0); - fill(CLAccessor(src1), 1); - fill(CLAccessor(src2), 2); - } - void print_parameters(framework::Printer &printer) override - { - printer.print_entry("M", support::cpp11::to_string(M)); - printer.print_entry("N", support::cpp11::to_string(N)); - printer.print_entry("K", support::cpp11::to_string(K)); - } - void do_validate() override - { - SimpleTensor<float> ref_src0 = { TensorShape(K, M), DataType::F32, 1 }; - SimpleTensor<float> ref_src1 = { TensorShape(N, K), DataType::F32, 1 }; - SimpleTensor<float> ref_src2 = { TensorShape(N, M), DataType::F32, 1 }; - - fill(ref_src0, 0); - fill(ref_src1, 1); - fill(ref_src2, 2); - - SimpleTensor<float> ref_dst = reference::gemm<float>(ref_src0, ref_src1, ref_src2, alpha, beta); - validate(CLAccessor(dst), ref_dst, tolerance_f32, tolerance_num); - } - void do_run() override - { - // Execute the function - sgemm.run(); - - // Make sure all the OpenCL jobs are done executing: - CLScheduler::get().sync(); - } - -private: - template <typename U> - void fill(U &&tensor, int i) - { - switch(tensor.data_type()) - { - case DataType::F16: - case DataType::F32: - { - std::uniform_real_distribution<> distribution(-1.0f, 1.0f); - library->fill(tensor, distribution, i); - break; - } - default: - library->fill_tensor_uniform(tensor, i); - } - } - size_t M{ 7 }, N{ 3 }, K{ 5 }; - CLTensor src0{}, src1{}, src2{}, dst{}; - CLGEMM sgemm{}; - CLTuner tuner{}; - float alpha{}, beta{}; -}; - -/** 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<CLSGEMMValidateExample>(argc, argv); -} |