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* Convolution ND * Code unification across dimensions for generating tensor descriptors. * Example * Instances * Move convnd f32 instance file to comply with repo structure. * Conv 1D tensor layouts. * Formatting and use ReferenceConv * Reference ConvFwd supporting 1D and 2D convolution. * Debug printing TensorLayout name. * Conv fwd 1D instance f32 * Refactor conv ND example. Needed to support various conv dimensio. Needed to support various conv dimensions * Rename conv nd example director to prevent conflicts. * Refactor some common utility to single file. Plus some tests. * Refactor GetHostTensorDescriptor + UT. * Add 1D test case. * Test reference convolution 1d/2d * Remove some leftovers. * Fix convolution example error for 1D * Refactor test check errors utility function. * Test Conv2D Fwd XDL * More UT for 1D case. * Parameterize input & weight initializers. * Rename example to prevent conflicts. * Split convnd instance into separate files for 1d/2d * Address review comments. * Fix data type for flops/gbytes calculations. * Assign example number 11. * 3D cases for convolution utility functions. * 3D reference convolution. * Add support for 3D convolution. * Check for inputs bigger than 2GB. * Formatting * Support for bf16/f16/f32/i8 - conv instances + UT. * Use check_err from test_util.hpp. * Split convnd test into separate files for each dim. * Fix data generation and use proper instances. * Formatting * Skip tensor initialization if not necessary. * Fix CMakefiles. * Remove redundant conv2d_fwd test. * Lower problem size for conv3D UT. * 3D case for convnd example. * Remove leftovers after merge. * Add Conv Specialization string to GetTypeString * Skip instance causing numerical errors. * Small fixes. * Remove redundant includes. * Fix namespace name error. * Script for automatic testing and logging convolution fwd UTs * Comment out numactl cmd. * Refine weights initalization and relax rtol for fp16 * Move test_util.hpp to check_err.hpp * Refine weights initalization and relax rtol for fp16 * Refactor common part of test conv utils. * Move utility function to single common place. * Add additional common functions to utility. * Refactor convnd_fwd_xdl examples. * Remove redundant files. * Unify structure. * Add constructor to ConvParams. * And add input parameters validation. * Modify conv examples to use single utility file. * Remove check_error from host_tensor.hpp * Get rid of check_indices function. * Remove bf16_to_f32 function overload for scalars. * Fix namespace. * Add half_float::half for check_err. * Fix conv params size in UT. * Fix weights initialization for int8. * Fix weights initialization for int8. * Add type_convert when store output in ref conv 1D. * Get back old conv2d_fwd_xdl operation. * Silence conv debug print. * format * clean * clean * Fix merge. * Fix namespace for check_err * Formatting. * Fix merge artifacts. * Remove deleted header. * Fix some includes and use ck::utils::check_err. * Remove unused check_indices restored by previous merge. * Fix namespaces after merge. * Fix compilation error. * Small fixes. * Use common functions. * Fix filename * Fix namespaces. * Fix merge artifact - retrieve removed by accident fun. * Fix ConvForwardSpecialization. * Working example of OpInstanceRunEngine for conv2dfwd UT. * Adhere to coding style rules. * Formatting and adhere to coding style rules. * Fix merge artifacts. * Utility for collecting conv fwd instances. + Plus commmon part for parsing cmdline params. * Refactor FillUniform because of segfault for int8_t. * Naming convention. * Elegant version of device mem allocation. * Use OpInstanceRunEngine in conv fwd nd tests. * Multiple refinements. * conditional init * don't run reference op if not provided. * Use OpInstanceRunEngine for ckProfiler conv_fwd * Refactor common tensor fill function to separate file. * Clean up unused functions. * Support different init methods. * Create CMake target for conv_fwd_util. * Add header for profile_convnd_fwd.cpp * Fix CMakefiles to link with conv_fwd_util where needed. * Fix some clutter. Co-authored-by: Adam Osewski <aosewski@amd.com> Co-authored-by: Chao Liu <chao.liu2@amd.com>
115 lines
4.2 KiB
C++
115 lines
4.2 KiB
C++
#include <iostream>
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#include <stdexcept>
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#include <tuple>
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#include <vector>
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#include "data_type.hpp"
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#include "element_wise_operation.hpp"
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#include "conv_fwd_util.hpp"
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#include "conv_util.hpp"
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namespace {
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bool test_conv1D_nwc()
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{
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using namespace std::placeholders;
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using namespace ck::utils;
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namespace ctl = ck::tensor_layout::convolution;
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ck::utils::conv::ConvParams params;
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params.num_dim_spatial = 1;
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params.N = 2;
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params.K = 16;
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params.C = 4;
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params.filter_spatial_lengths = std::vector<ck::index_t>{3};
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params.input_spatial_lengths = std::vector<ck::index_t>{16};
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params.conv_filter_strides = std::vector<ck::index_t>{1};
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params.conv_filter_dilations = std::vector<ck::index_t>{1};
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params.input_left_pads = std::vector<ck::index_t>{1};
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params.input_right_pads = std::vector<ck::index_t>{1};
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std::vector<test::conv::DeviceConvFwdNoOpPtr> conv_ptrs;
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test::conv::get_test_convolution_fwd_instance<1>(conv_ptrs);
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conv::ConvFwdOpInstance<float, float, float, ctl::NWC, ctl::KCX, ctl::NWK> conv_instance(
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params);
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auto reference_conv_fwd_fun = std::bind(
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conv::run_reference_convolution_forward<1, float, float, float>, params, _1, _2, _3);
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OpInstanceRunEngine<float, float, float> run_engine(conv_instance, reference_conv_fwd_fun);
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run_engine.SetAtol(1e-5);
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run_engine.SetRtol(1e-4);
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return run_engine.Test(conv_ptrs);
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}
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template <typename T>
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bool test_conv1d_nwc_instances(const std::vector<test::conv::DeviceConvFwdNoOpPtr>& conv_ptrs)
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{
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using namespace std::placeholders;
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using namespace ck::utils;
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namespace ctl = ck::tensor_layout::convolution;
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ck::utils::conv::ConvParams params;
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params.num_dim_spatial = 1;
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params.filter_spatial_lengths = std::vector<ck::index_t>{3};
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params.input_spatial_lengths = std::vector<ck::index_t>{71};
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params.conv_filter_strides = std::vector<ck::index_t>{2};
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params.conv_filter_dilations = std::vector<ck::index_t>{1};
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params.input_left_pads = std::vector<ck::index_t>{1};
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params.input_right_pads = std::vector<ck::index_t>{1};
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conv::ConvFwdOpInstance<T, T, T, ctl::NWC, ctl::KCX, ctl::NWK> conv_instance(params);
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auto reference_conv_fwd_fun =
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std::bind(conv::run_reference_convolution_forward<1, T, T, T>, params, _1, _2, _3);
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OpInstanceRunEngine<T, T, T> run_engine(conv_instance, reference_conv_fwd_fun);
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return run_engine.Test(conv_ptrs);
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}
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bool test_conv1d_nwc_bf16_instances()
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{
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return test_conv1d_nwc_instances<ck::bhalf_t>(
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ck::utils::conv::ConvolutionFwdInstances<ck::bhalf_t, ck::bhalf_t, ck::bhalf_t>::Get<1>());
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}
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bool test_conv1d_nwc_f16_instances()
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{
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return test_conv1d_nwc_instances<ck::half_t>(
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ck::utils::conv::ConvolutionFwdInstances<ck::half_t, ck::half_t, ck::half_t>::Get<1>());
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}
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bool test_conv1d_nwc_f32_instances()
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{
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return test_conv1d_nwc_instances<float>(
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ck::utils::conv::ConvolutionFwdInstances<float, float, float>::Get<1>());
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}
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bool test_conv1d_nwc_int8_instances()
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{
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return test_conv1d_nwc_instances<int8_t>(
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ck::utils::conv::ConvolutionFwdInstances<int8_t, int8_t, int8_t>::Get<1>());
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}
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} // anonymous namespace
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int main()
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{
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bool res{true};
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res = test_conv1D_nwc();
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std::cout << "test_conv1D_nwc ..... " << (res ? "SUCCESS" : "FAILURE") << std::endl;
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res = test_conv1d_nwc_bf16_instances();
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std::cout << "\nTestConv1DNWCBF16Instances ..... " << (res ? "SUCCESS" : "FAILURE")
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<< std::endl;
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res = test_conv1d_nwc_f16_instances();
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std::cout << "\ntest_conv1d_nwc_f16_instances ..... " << (res ? "SUCCESS" : "FAILURE")
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<< std::endl;
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res = test_conv1d_nwc_f32_instances();
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std::cout << "\ntest_conv1d_nwc_f32_instances ..... " << (res ? "SUCCESS" : "FAILURE")
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<< std::endl;
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res = test_conv1d_nwc_int8_instances();
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std::cout << "\ntest_conv1d_nwc_int8_instances ..... " << (res ? "SUCCESS" : "FAILURE")
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<< std::endl;
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return res ? 0 : 1;
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}
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