#include #include #include #include #include "data_type.hpp" #include "element_wise_operation.hpp" #include "conv_fwd_util.hpp" #include "conv_util.hpp" namespace { bool test_conv1D_nwc() { using namespace std::placeholders; using namespace ck::utils; namespace ctl = ck::tensor_layout::convolution; ck::utils::conv::ConvParams params; params.num_dim_spatial = 1; params.N = 2; params.K = 16; params.C = 4; params.filter_spatial_lengths = std::vector{3}; params.input_spatial_lengths = std::vector{16}; params.conv_filter_strides = std::vector{1}; params.conv_filter_dilations = std::vector{1}; params.input_left_pads = std::vector{1}; params.input_right_pads = std::vector{1}; std::vector conv_ptrs; test::conv::get_test_convolution_fwd_instance<1>(conv_ptrs); conv::ConvFwdOpInstance conv_instance( params); auto reference_conv_fwd_fun = std::bind( conv::run_reference_convolution_forward<1, float, float, float>, params, _1, _2, _3); OpInstanceRunEngine run_engine(conv_instance, reference_conv_fwd_fun); run_engine.SetAtol(1e-5); run_engine.SetRtol(1e-4); return run_engine.Test(conv_ptrs); } template bool test_conv1d_nwc_instances(const std::vector& conv_ptrs) { using namespace std::placeholders; using namespace ck::utils; namespace ctl = ck::tensor_layout::convolution; ck::utils::conv::ConvParams params; params.num_dim_spatial = 1; params.filter_spatial_lengths = std::vector{3}; params.input_spatial_lengths = std::vector{71}; params.conv_filter_strides = std::vector{2}; params.conv_filter_dilations = std::vector{1}; params.input_left_pads = std::vector{1}; params.input_right_pads = std::vector{1}; conv::ConvFwdOpInstance conv_instance(params); auto reference_conv_fwd_fun = std::bind(conv::run_reference_convolution_forward<1, T, T, T>, params, _1, _2, _3); OpInstanceRunEngine run_engine(conv_instance, reference_conv_fwd_fun); return run_engine.Test(conv_ptrs); } bool test_conv1d_nwc_bf16_instances() { return test_conv1d_nwc_instances( ck::utils::conv::ConvolutionFwdInstances::Get<1>()); } bool test_conv1d_nwc_f16_instances() { return test_conv1d_nwc_instances( ck::utils::conv::ConvolutionFwdInstances::Get<1>()); } bool test_conv1d_nwc_f32_instances() { return test_conv1d_nwc_instances( ck::utils::conv::ConvolutionFwdInstances::Get<1>()); } bool test_conv1d_nwc_int8_instances() { return test_conv1d_nwc_instances( ck::utils::conv::ConvolutionFwdInstances::Get<1>()); } } // anonymous namespace int main() { bool res{true}; res = test_conv1D_nwc(); std::cout << "test_conv1D_nwc ..... " << (res ? "SUCCESS" : "FAILURE") << std::endl; res = test_conv1d_nwc_bf16_instances(); std::cout << "\nTestConv1DNWCBF16Instances ..... " << (res ? "SUCCESS" : "FAILURE") << std::endl; res = test_conv1d_nwc_f16_instances(); std::cout << "\ntest_conv1d_nwc_f16_instances ..... " << (res ? "SUCCESS" : "FAILURE") << std::endl; res = test_conv1d_nwc_f32_instances(); std::cout << "\ntest_conv1d_nwc_f32_instances ..... " << (res ? "SUCCESS" : "FAILURE") << std::endl; res = test_conv1d_nwc_int8_instances(); std::cout << "\ntest_conv1d_nwc_int8_instances ..... " << (res ? "SUCCESS" : "FAILURE") << std::endl; return res ? 0 : 1; }