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Unify Convolution FWD XDL 1D/2D implementation. (#93)
* 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. Co-authored-by: Adam Osewski <aosewski@amd.com> Co-authored-by: Chao Liu <chao.liu2@amd.com>
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test/include/test_util.hpp
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84
test/include/test_util.hpp
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#ifndef TEST_UTIL_HPP
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#define TEST_UTIL_HPP
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#include <cmath>
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#include <cstdlib>
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#include <iostream>
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#include <iomanip>
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#include <limits>
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#include <type_traits>
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#include <vector>
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namespace test_util {
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template <typename T>
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typename std::enable_if<std::is_floating_point<T>::value, bool>::type
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check_err(const std::vector<T>& out,
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const std::vector<T>& ref,
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const std::string& msg,
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T rtol = static_cast<T>(1e-5),
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T atol = static_cast<T>(1e-8))
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{
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if(out.size() != ref.size())
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{
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std::cout << "out.size() != ref.size(), :" << out.size() << " != " << ref.size()
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<< std::endl
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<< msg << std::endl;
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return false;
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}
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bool res{true};
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int err_count = 0;
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T err = 0;
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T max_err = std::numeric_limits<T>::min();
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for(std::size_t i = 0; i < ref.size(); ++i)
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{
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err = std::abs(out[i] - ref[i]);
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if(err > atol + rtol * std::abs(ref[i]) || !std::isfinite(out[i]) || !std::isfinite(ref[i]))
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{
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max_err = err > max_err ? err : max_err;
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err_count++;
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if(err_count < 5)
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{
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std::cout << std::setw(12) << std::setprecision(7) << "out[" << i << "] != ref["
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<< i << "]: " << out[i] << "!=" << ref[i] << std::endl
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<< msg << std::endl;
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}
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res = false;
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}
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}
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if(!res)
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{
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std::cout << std::setw(12) << std::setprecision(7) << "max err: " << max_err << std::endl;
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}
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return res;
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}
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template <typename T>
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typename std::enable_if<std::is_integral<T>::value, bool>::type check_err(
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const std::vector<T>& out, const std::vector<T>& ref, const std::string& msg, T = 0, T = 0)
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{
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if(out.size() != ref.size())
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{
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std::cout << "out.size() != ref.size(), :" << out.size() << " != " << ref.size()
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<< std::endl
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<< msg << std::endl;
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return false;
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}
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for(std::size_t i = 0; i < ref.size(); ++i)
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{
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if(out[i] != ref[i])
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{
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std::cout << "out[" << i << "] != ref[" << i << "]: " << out[i] << "!=" << ref[i]
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<< std::endl
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<< msg << std::endl;
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return false;
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}
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}
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return true;
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}
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} // namespace test_util
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#endif
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