Binary elementwise microkernels
- ADD/MUL/SUB microkernel templates in scalar, PSIMD, SSE, NEON implementations
- ADDC/MULC/SUBC/RSUBC microkernel templates in scalar, PSIMD, SSE, NEON implementations
- Unit test generators
- Remove legacy (non-generated) microkernel implementations
PiperOrigin-RevId: 280528154
diff --git a/test/vbinopc-microkernel-tester.h b/test/vbinopc-microkernel-tester.h
new file mode 100644
index 0000000..e6fb173
--- /dev/null
+++ b/test/vbinopc-microkernel-tester.h
@@ -0,0 +1,159 @@
+// 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/params-init.h>
+#include <xnnpack/params.h>
+
+
+class VBinOpCMicrokernelTester {
+ public:
+ enum class OpType {
+ AddC,
+ MulC,
+ SubC,
+ RSubC,
+ };
+
+ enum class Variant {
+ Native,
+ Scalar,
+ };
+
+ inline VBinOpCMicrokernelTester& batch_size(size_t batch_size) {
+ assert(batch_size != 0);
+ this->batch_size_ = batch_size;
+ return *this;
+ }
+
+ inline size_t batch_size() const {
+ return this->batch_size_;
+ }
+
+ inline VBinOpCMicrokernelTester& inplace(bool inplace) {
+ this->inplace_ = inplace;
+ return *this;
+ }
+
+ inline bool inplace() const {
+ return this->inplace_;
+ }
+
+ inline VBinOpCMicrokernelTester& qmin(uint8_t qmin) {
+ this->qmin_ = qmin;
+ return *this;
+ }
+
+ inline uint8_t qmin() const {
+ return this->qmin_;
+ }
+
+ inline VBinOpCMicrokernelTester& qmax(uint8_t qmax) {
+ this->qmax_ = qmax;
+ return *this;
+ }
+
+ inline uint8_t qmax() const {
+ return this->qmax_;
+ }
+
+ inline VBinOpCMicrokernelTester& iterations(size_t iterations) {
+ this->iterations_ = iterations;
+ return *this;
+ }
+
+ inline size_t iterations() const {
+ return this->iterations_;
+ }
+
+ void Test(xnn_f32_vbinop_ukernel_function vbinopc, OpType op_type, 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);
+
+ std::vector<float> a(batch_size() + XNN_EXTRA_BYTES / sizeof(float));
+ const float b = f32rng();
+ std::vector<float> y(batch_size() + (inplace() ? XNN_EXTRA_BYTES / sizeof(float) : 0));
+ std::vector<float> y_ref(batch_size());
+ for (size_t iteration = 0; iteration < iterations(); iteration++) {
+ std::generate(a.begin(), a.end(), std::ref(f32rng));
+ if (inplace()) {
+ std::generate(y.begin(), y.end(), std::ref(f32rng));
+ } else {
+ std::fill(y.begin(), y.end(), nanf(""));
+ }
+ const float* a_data = inplace() ? y.data() : a.data();
+
+ // Compute reference results.
+ for (size_t i = 0; i < batch_size(); i++) {
+ switch (op_type) {
+ case OpType::AddC:
+ y_ref[i] = a_data[i] + b;
+ break;
+ case OpType::MulC:
+ y_ref[i] = a_data[i] * b;
+ break;
+ case OpType::SubC:
+ y_ref[i] = a_data[i] - b;
+ break;
+ case OpType::RSubC:
+ y_ref[i] = b - a_data[i];
+ break;
+ }
+ }
+ 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_range > 0.0f ?
+ (accumulated_max - accumulated_range / 255.0f * float(255 - qmax())) :
+ +std::numeric_limits<float>::infinity();
+ const float y_min = accumulated_range > 0.0f ?
+ (accumulated_min + accumulated_range / 255.0f * float(qmin())) :
+ -std::numeric_limits<float>::infinity();
+ for (size_t i = 0; i < batch_size(); i++) {
+ y_ref[i] = std::max<float>(std::min<float>(y_ref[i], 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.
+ vbinopc(batch_size() * sizeof(float), a_data, &b, y.data(), &output_params);
+
+ // Verify results.
+ for (size_t i = 0; i < batch_size(); i++) {
+ ASSERT_NEAR(y[i], y_ref[i], std::abs(y_ref[i]) * 1.0e-6f)
+ << "at " << i << " / " << batch_size();
+ }
+ }
+ }
+
+ private:
+ size_t batch_size_{1};
+ bool inplace_{false};
+ uint8_t qmin_{0};
+ uint8_t qmax_{255};
+ size_t iterations_{15};
+};