From 59631a174e1b5ef23bd3a0102f60b57c99502766 Mon Sep 17 00:00:00 2001 From: Giorgio Arena Date: Wed, 2 May 2018 13:59:04 +0100 Subject: COMPMID-1104 Add fast math hint in the graph API Change-Id: I83db135fa94c6884e080f0229a9b6430d908c029 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/129823 Tested-by: Jenkins Reviewed-by: Gian Marco Iodice Reviewed-by: Anthony Barbier --- examples/graph_resnet50.cpp | 25 ++++++++++++++++++------- 1 file changed, 18 insertions(+), 7 deletions(-) (limited to 'examples/graph_resnet50.cpp') diff --git a/examples/graph_resnet50.cpp b/examples/graph_resnet50.cpp index 18a028d48c..6fac372550 100644 --- a/examples/graph_resnet50.cpp +++ b/examples/graph_resnet50.cpp @@ -35,7 +35,7 @@ using namespace arm_compute::graph_utils; /** Example demonstrating how to implement Microsoft's ResNet50 network using the Compute Library's graph API * * @param[in] argc Number of arguments - * @param[in] argv Arguments ( [optional] Target (0 = NEON, 1 = OpenCL), [optional] Path to the weights folder, [optional] image, [optional] labels ) + * @param[in] argv Arguments ( [optional] Target (0 = NEON, 1 = OpenCL), [optional] Path to the weights folder, [optional] image, [optional] labels, [optional] Fast math for convolution layer (0 = DISABLED, 1 = ENABLED) ) */ class GraphResNet50Example : public Example { @@ -55,40 +55,51 @@ public: const int target = argc > 1 ? std::strtol(argv[1], nullptr, 10) : 0; Target target_hint = set_target_hint(target); ConvolutionMethod convolution_hint = target_hint == Target::NEON ? ConvolutionMethod::GEMM : ConvolutionMethod::DEFAULT; + FastMathHint fast_math_hint = FastMathHint::DISABLED; // Parse arguments if(argc < 2) { // Print help - std::cout << "Usage: " << argv[0] << " [target] [path_to_data] [image] [labels]\n\n"; + std::cout << "Usage: " << argv[0] << " [target] [path_to_data] [image] [labels] [fast_math_hint]\n\n"; std::cout << "No data folder provided: using random values\n\n"; } else if(argc == 2) { - std::cout << "Usage: " << argv[0] << " " << argv[1] << " [path_to_data] [image] [labels]\n\n"; + std::cout << "Usage: " << argv[0] << " " << argv[1] << " [path_to_data] [image] [labels] [fast_math_hint]\n\n"; std::cout << "No data folder provided: using random values\n\n"; } else if(argc == 3) { data_path = argv[2]; - std::cout << "Usage: " << argv[0] << " " << argv[1] << " " << argv[2] << " [image] [labels]\n\n"; + std::cout << "Usage: " << argv[0] << " " << argv[1] << " " << argv[2] << " [image] [labels] [fast_math_hint]\n\n"; std::cout << "No image provided: using random values\n\n"; } else if(argc == 4) { data_path = argv[2]; image = argv[3]; - std::cout << "Usage: " << argv[0] << " " << argv[1] << " " << argv[2] << " " << argv[3] << " [labels]\n\n"; + std::cout << "Usage: " << argv[0] << " " << argv[1] << " " << argv[2] << " " << argv[3] << " [labels] [fast_math_hint]\n\n"; std::cout << "No text file with labels provided: skipping output accessor\n\n"; } - else + else if(argc == 5) { data_path = argv[2]; image = argv[3]; label = argv[4]; + std::cout << "Usage: " << argv[0] << " " << argv[1] << " " << argv[2] << " " << argv[3] << " " << argv[4] << " [fast_math_hint]\n\n"; + std::cout << "No fast math info provided: disabling fast math\n\n"; + } + else + { + data_path = argv[2]; + image = argv[3]; + label = argv[4]; + fast_math_hint = (std::strtol(argv[5], nullptr, 1) == 0) ? FastMathHint::DISABLED : FastMathHint::ENABLED; } graph << target_hint + << fast_math_hint << InputLayer(TensorDescriptor(TensorShape(224U, 224U, 3U, 1U), DataType::F32), get_input_accessor(image, std::move(preprocessor), false /* Do not convert to BGR */)) << ConvolutionLayer( @@ -243,7 +254,7 @@ private: /** Main program for ResNet50 * * @param[in] argc Number of arguments - * @param[in] argv Arguments ( [optional] Target (0 = NEON, 1 = OpenCL), [optional] Path to the weights folder, [optional] image, [optional] labels ) + * @param[in] argv Arguments ( [optional] Target (0 = NEON, 1 = OpenCL), [optional] Path to the weights folder, [optional] image, [optional] labels, [optional] Fast math for convolution layer (0 = DISABLED, 1 = ENABLED) ) */ int main(int argc, char **argv) { -- cgit v1.2.1