85 lines
2.4 KiB
C++
85 lines
2.4 KiB
C++
// Copyright 2019 Google LLC
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//
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// This source code is licensed under the BSD-style license found in the
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// LICENSE file in the root directory of this source tree.
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#pragma once
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#include <gtest/gtest.h>
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#include <algorithm>
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#include <chrono>
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#include <cstddef>
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#include <cstdlib>
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#include <functional>
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#include <random>
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#include <vector>
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#include <xnnpack.h>
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#include <xnnpack/params.h>
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class VScaleExtExpMicrokernelTester {
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public:
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inline VScaleExtExpMicrokernelTester& elements(size_t elements) {
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assert(elements != 0);
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this->elements_ = elements;
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return *this;
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}
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inline size_t elements() const {
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return this->elements_;
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}
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inline VScaleExtExpMicrokernelTester& iterations(size_t iterations) {
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this->iterations_ = iterations;
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return *this;
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}
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inline size_t iterations() const {
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return this->iterations_;
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}
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void Test(xnn_f32_vscaleextexp_ukernel_function vscaleextexp) const {
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std::random_device random_device;
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auto rng = std::mt19937(random_device());
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// Choose such range that expf(x[i]) overflows, but double-precision exp doesn't overflow.
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auto f32rng = std::bind(std::uniform_real_distribution<float>(90.0f, 100.0f), rng);
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std::vector<float> x(elements() + XNN_EXTRA_BYTES / sizeof(float));
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std::vector<float> y(elements());
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std::vector<double> y_ref(elements());
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for (size_t iteration = 0; iteration < iterations(); iteration++) {
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std::generate(x.begin(), x.end(), std::ref(f32rng));
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// Compute scale parameters.
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double sum = 0.0;
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for (size_t i = 0; i < elements(); i++) {
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sum += std::exp(double(x[i]));
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}
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int sum_exponent;
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const double sum_mantissa = std::frexp(sum, &sum_exponent);
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const float scale_mantissa = float(1.0 / sum_mantissa);
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const float scale_exponent = -float(sum_exponent);
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// Compute reference results.
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for (size_t i = 0; i < elements(); i++) {
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y_ref[i] = std::exp(double(x[i])) / sum;
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}
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// Call optimized micro-kernel.
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vscaleextexp(elements() * sizeof(float), x.data(), y.data(), scale_mantissa, scale_exponent);
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// Verify results.
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for (size_t i = 0; i < elements(); i++) {
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ASSERT_NEAR(y_ref[i], y[i], std::abs(y_ref[i]) * 1.0e-6)
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<< "elements = " << elements() << ", scale:mantissa = " << scale_mantissa << ", scale:exponent = " << scale_exponent;
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}
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}
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}
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private:
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size_t elements_{1};
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size_t iterations_{15};
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};
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