blob: fb2bebc63a130aab3fbe080fa49bf364876f62a7 [file] [log] [blame]
// Copyright (c) Facebook, Inc. and its affiliates.
// All rights reserved.
//
// 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>
class ClampOperatorTester {
public:
inline ClampOperatorTester& channels(size_t channels) {
assert(channels != 0);
this->channels_ = channels;
return *this;
}
inline size_t channels() const {
return this->channels_;
}
inline ClampOperatorTester& input_stride(size_t input_stride) {
assert(input_stride != 0);
this->input_stride_ = input_stride;
return *this;
}
inline size_t input_stride() const {
if (this->input_stride_ == 0) {
return this->channels_;
} else {
assert(this->input_stride_ >= this->channels_);
return this->input_stride_;
}
}
inline ClampOperatorTester& output_stride(size_t output_stride) {
assert(output_stride != 0);
this->output_stride_ = output_stride;
return *this;
}
inline size_t output_stride() const {
if (this->output_stride_ == 0) {
return this->channels_;
} else {
assert(this->output_stride_ >= this->channels_);
return this->output_stride_;
}
}
inline ClampOperatorTester& 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 ClampOperatorTester& qmin(uint8_t qmin) {
this->qmin_ = qmin;
return *this;
}
inline uint8_t qmin() const {
return this->qmin_;
}
inline ClampOperatorTester& qmax(uint8_t qmax) {
this->qmax_ = qmax;
return *this;
}
inline uint8_t qmax() const {
return this->qmax_;
}
inline ClampOperatorTester& iterations(size_t iterations) {
this->iterations_ = iterations;
return *this;
}
inline size_t iterations() const {
return this->iterations_;
}
void TestU8() const {
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto u8rng = std::bind(std::uniform_int_distribution<uint8_t>(), rng);
std::vector<uint8_t> input(XNN_EXTRA_BYTES / sizeof(uint8_t) +
(batch_size() - 1) * input_stride() + channels());
std::vector<uint8_t> output((batch_size() - 1) * output_stride() + channels());
std::vector<uint8_t> output_ref(batch_size() * channels());
for (size_t iteration = 0; iteration < iterations(); iteration++) {
std::generate(input.begin(), input.end(), std::ref(u8rng));
std::fill(output.begin(), output.end(), 0xA5);
// Compute reference results.
for (size_t i = 0; i < batch_size(); i++) {
for (size_t c = 0; c < channels(); c++) {
const uint8_t x = input[i * input_stride() + c];
const uint8_t y = std::min(std::max(x, qmin()), qmax());
output_ref[i * channels() + c] = y;
}
}
// Create, setup, run, and destroy Clamp operator.
ASSERT_EQ(xnn_status_success, xnn_initialize());
xnn_operator_t clamp_op = nullptr;
ASSERT_EQ(xnn_status_success,
xnn_create_clamp_nc_u8(
channels(), input_stride(), output_stride(),
qmin(), qmax(),
0, &clamp_op));
ASSERT_NE(nullptr, clamp_op);
// Smart pointer to automatically delete clamp_op.
std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_clamp_op(clamp_op, xnn_delete_operator);
ASSERT_EQ(xnn_status_success,
xnn_setup_clamp_nc_u8(
clamp_op,
batch_size(),
input.data(), output.data(),
nullptr /* thread pool */));
ASSERT_EQ(xnn_status_success,
xnn_run_operator(clamp_op, nullptr /* thread pool */));
// Verify results .
for (size_t i = 0; i < batch_size(); i++) {
for (size_t c = 0; c < channels(); c++) {
ASSERT_LE(uint32_t(output[i * output_stride() + c]), uint32_t(qmax()))
<< "at position " << i << ", batch size = " << batch_size() << ", channels = " << channels();
ASSERT_GE(uint32_t(output[i * output_stride() + c]), uint32_t(qmin()))
<< "at position " << i << ", batch size = " << batch_size() << ", channels = " << channels();
ASSERT_EQ(uint32_t(output_ref[i * channels() + c]), uint32_t(output[i * output_stride() + c]))
<< "at position " << i << ", batch size = " << batch_size() << ", channels = " << channels()
<< ", qmin = " << uint32_t(qmin()) << ", qmax = " << uint32_t(qmax());
}
}
}
}
void TestF32() const {
std::random_device random_device;
auto rng = std::mt19937(random_device());
auto f32rng = std::bind(std::uniform_real_distribution<float>(0.0f, 255.0f), rng);
std::vector<float> input(XNN_EXTRA_BYTES / sizeof(float) +
(batch_size() - 1) * input_stride() + channels());
std::vector<float> output((batch_size() - 1) * output_stride() + channels());
std::vector<float> output_ref(batch_size() * channels());
for (size_t iteration = 0; iteration < iterations(); iteration++) {
std::generate(input.begin(), input.end(), std::ref(f32rng));
std::fill(output.begin(), output.end(), std::nanf(""));
// Compute reference results.
for (size_t i = 0; i < batch_size(); i++) {
for (size_t c = 0; c < channels(); c++) {
const float x = input[i * input_stride() + c];
const float y = std::min(std::max(x, float(qmin())), float(qmax()));
output_ref[i * channels() + c] = y;
}
}
// Create, setup, run, and destroy Clamp operator.
ASSERT_EQ(xnn_status_success, xnn_initialize());
xnn_operator_t clamp_op = nullptr;
ASSERT_EQ(xnn_status_success,
xnn_create_clamp_nc_f32(
channels(), input_stride(), output_stride(),
float(qmin()), float(qmax()),
0, &clamp_op));
ASSERT_NE(nullptr, clamp_op);
// Smart pointer to automatically delete clamp_op.
std::unique_ptr<xnn_operator, decltype(&xnn_delete_operator)> auto_clamp_op(clamp_op, xnn_delete_operator);
ASSERT_EQ(xnn_status_success,
xnn_setup_clamp_nc_f32(
clamp_op,
batch_size(),
input.data(), output.data(),
nullptr /* thread pool */));
ASSERT_EQ(xnn_status_success,
xnn_run_operator(clamp_op, nullptr /* thread pool */));
// Verify results.
for (size_t i = 0; i < batch_size(); i++) {
for (size_t c = 0; c < channels(); c++) {
ASSERT_LE(output[i * output_stride() + c], float(qmax()))
<< "at position " << i << ", batch size = " << batch_size() << ", channels = " << channels();
ASSERT_GE(output[i * output_stride() + c], float(qmin()))
<< "at position " << i << ", batch size = " << batch_size() << ", channels = " << channels();
ASSERT_EQ(output_ref[i * channels() + c], output[i * output_stride() + c])
<< "at position " << i << ", batch size = " << batch_size() << ", channels = " << channels()
<< ", qmin = " << uint32_t(qmin()) << ", qmax = " << uint32_t(qmax());
}
}
}
}
private:
size_t batch_size_{1};
size_t channels_{1};
size_t input_stride_{0};
size_t output_stride_{0};
uint8_t qmin_{5};
uint8_t qmax_{250};
size_t iterations_{15};
};