| // Copyright 2019 Google LLC |
| // |
| // This source code is licensed under the BSD-style license found in the |
| // LICENSE file in the root directory of this source tree. |
| |
| #pragma once |
| |
| #include <gtest/gtest.h> |
| |
| #include <algorithm> |
| #include <cassert> |
| #include <cstddef> |
| #include <cstdlib> |
| #include <functional> |
| #include <random> |
| #include <vector> |
| |
| #include <xnnpack.h> |
| #include <xnnpack/AlignedAllocator.h> |
| #include <xnnpack/pack.h> |
| #include <xnnpack/params-init.h> |
| #include <xnnpack/params.h> |
| |
| |
| class VMulCAddCMicrokernelTester { |
| public: |
| enum class Variant { |
| Native, |
| Scalar, |
| }; |
| |
| inline VMulCAddCMicrokernelTester& cr(size_t cr) { |
| this->cr_ = cr; |
| return *this; |
| } |
| |
| inline size_t cr() const { |
| return this->cr_; |
| } |
| |
| inline VMulCAddCMicrokernelTester& c(size_t c) { |
| assert(c != 0); |
| this->c_ = c; |
| return *this; |
| } |
| |
| inline size_t c() const { |
| return this->c_; |
| } |
| |
| inline size_t packed_c() const { |
| return c() % cr() == 0 ? c() : (c() / cr() + 1) * cr(); |
| } |
| |
| inline VMulCAddCMicrokernelTester& m(size_t m) { |
| assert(m != 0); |
| this->m_ = m; |
| return *this; |
| } |
| |
| inline size_t m() const { |
| return this->m_; |
| } |
| |
| inline VMulCAddCMicrokernelTester& x_stride(size_t x_stride) { |
| this->x_stride_ = x_stride; |
| return *this; |
| } |
| |
| inline size_t x_stride() const { |
| return this->x_stride_ == 0 ? c() : this->x_stride_; |
| } |
| |
| inline VMulCAddCMicrokernelTester& y_stride(size_t y_stride) { |
| this->y_stride_ = y_stride; |
| return *this; |
| } |
| |
| inline size_t y_stride() const { |
| return this->y_stride_ == 0 ? c() : this->y_stride_; |
| } |
| |
| inline VMulCAddCMicrokernelTester& inplace(bool inplace) { |
| this->inplace_ = inplace; |
| return *this; |
| } |
| |
| inline bool inplace() const { |
| return this->inplace_; |
| } |
| |
| inline VMulCAddCMicrokernelTester& qmin(uint8_t qmin) { |
| this->qmin_ = qmin; |
| return *this; |
| } |
| |
| inline uint8_t qmin() const { |
| return this->qmin_; |
| } |
| |
| inline VMulCAddCMicrokernelTester& qmax(uint8_t qmax) { |
| this->qmax_ = qmax; |
| return *this; |
| } |
| |
| inline uint8_t qmax() const { |
| return this->qmax_; |
| } |
| |
| inline VMulCAddCMicrokernelTester& iterations(size_t iterations) { |
| this->iterations_ = iterations; |
| return *this; |
| } |
| |
| inline size_t iterations() const { |
| return this->iterations_; |
| } |
| |
| void Test(xnn_f32_vmulcaddc_ukernel_function vmulcaddc, Variant variant = Variant::Native) const { |
| std::random_device random_device; |
| auto rng = std::mt19937(random_device()); |
| auto f32rng = std::bind(std::uniform_real_distribution<float>(0.0f, 1.0f), rng); |
| |
| if (inplace()) { |
| ASSERT_EQ(x_stride(), y_stride()); |
| } |
| |
| std::vector<float> x((m() - 1) * x_stride() + c() + XNN_EXTRA_BYTES / sizeof(float)); |
| std::vector<float> scale(c()); |
| std::vector<float> bias(c()); |
| std::vector<float, AlignedAllocator<float, 32>> packed_w(packed_c() * 2); |
| std::vector<float> y((m() - 1) * y_stride() + c() + (inplace() ? XNN_EXTRA_BYTES / sizeof(float) : 0)); |
| std::vector<float> y_ref(m() * c()); |
| for (size_t iteration = 0; iteration < iterations(); iteration++) { |
| std::generate(scale.begin(), scale.end(), std::ref(f32rng)); |
| std::generate(bias.begin(), bias.end(), std::ref(f32rng)); |
| std::generate(x.begin(), x.end(), std::ref(f32rng)); |
| if (inplace()) { |
| std::copy(x.cbegin(), x.cend(), y.begin()); |
| } else { |
| std::fill(y.begin(), y.end(), nanf("")); |
| } |
| const float* x_data = inplace() ? y.data() : x.data(); |
| |
| std::fill(packed_w.begin(), packed_w.end(), nanf("")); |
| xnn_pack_f32_vmulcaddc_w(c(), cr(), |
| scale.data(), bias.data(), packed_w.data()); |
| |
| // Compute reference results. |
| for (size_t i = 0; i < m(); i++) { |
| for (size_t j = 0; j < c(); j++) { |
| y_ref[i * c() + j] = x_data[i * x_stride() + j] * scale[j] + bias[j]; |
| } |
| } |
| const float accumulated_min = *std::min_element(y_ref.cbegin(), y_ref.cend()); |
| const float accumulated_max = *std::max_element(y_ref.cbegin(), y_ref.cend()); |
| const float accumulated_range = accumulated_max - accumulated_min; |
| const float y_max = accumulated_max - accumulated_range / 255.0f * float(255 - qmax()); |
| const float y_min = accumulated_min + accumulated_range / 255.0f * float(qmin()); |
| for (float& y_value : y_ref) { |
| y_value = std::max<float>(std::min<float>(y_value, y_max), y_min); |
| } |
| |
| // Prepare output parameters. |
| xnn_f32_output_params output_params = { }; |
| switch (variant) { |
| case Variant::Native: |
| output_params = xnn_init_f32_output_params(y_min, y_max); |
| break; |
| case Variant::Scalar: |
| output_params = xnn_init_scalar_f32_output_params(y_min, y_max); |
| break; |
| } |
| |
| // Call optimized micro-kernel. |
| vmulcaddc(m(), c() * sizeof(float), |
| x_data, x_stride() * sizeof(float), |
| packed_w.data(), |
| y.data(), y_stride() * sizeof(float), |
| &output_params); |
| |
| // Verify results. |
| for (size_t i = 0; i < m(); i++) { |
| for (size_t j = 0; j < c(); j++) { |
| ASSERT_NEAR(y[i * y_stride() + j], y_ref[i * c() + j], std::abs(y_ref[i * c() + j]) * 1.0e-6f) |
| << "at pixel " << i << " / " << m() |
| << ", channel = " << j << " / " << c(); |
| } |
| } |
| } |
| } |
| |
| private: |
| size_t cr_{1}; |
| size_t c_{1}; |
| size_t m_{1}; |
| size_t x_stride_{0}; |
| size_t y_stride_{0}; |
| bool inplace_{false}; |
| uint8_t qmin_{0}; |
| uint8_t qmax_{255}; |
| size_t iterations_{15}; |
| }; |