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// 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.
#ifndef XNNPACK_TEST_VBINARY_MICROKERNEL_TESTER_H_
#define XNNPACK_TEST_VBINARY_MICROKERNEL_TESTER_H_
#include <algorithm>
#include <cassert>
#include <cmath>
#include <cstddef>
#include <cstdint>
#include <cstdlib>
#include <gtest/gtest.h>
#include "src/xnnpack/buffer.h"
#include "src/xnnpack/common.h"
#include "src/xnnpack/isa-checks.h"
#include "src/xnnpack/microfnptr.h"
class VBinaryMicrokernelTester {
public:
enum class OpType {
Add,
CopySign,
RCopySign,
Div,
RDiv,
Max,
Min,
Mul,
Sub,
RSub,
SqrDiff,
Prelu,
RPrelu,
};
float compute_float(OpType op, float a, float b) const {
switch (op) {
case OpType::Add:
return a + b;
case OpType::CopySign:
return std::copysign(a, b);
case OpType::RCopySign:
return std::copysign(b, a);
case OpType::Div:
return a / b;
case OpType::RDiv:
return b / a;
case OpType::Max:
return std::max(a, b);
case OpType::Min:
return std::min(a, b);
case OpType::Mul:
return a * b;
case OpType::Prelu:
return a < 0 ? a * b : a;
case OpType::RPrelu:
return b < 0 ? b * a : b;
case OpType::SqrDiff:
return (a - b) * (a - b);
case OpType::Sub:
return a - b;
case OpType::RSub:
return b - a;
}
XNN_UNREACHABLE;
return 0.0;
}
template <typename T>
void reference_op_impl(const T* a, const T* b, T* result, size_t n,
OpType op_type) const {
size_t stride_b = broadcast_b() ? 0 : 1;
for (size_t i = 0; i < n; ++i) {
float f_result = compute_float(op_type, a[i], b[i * stride_b]);
// TODO: We shouldn't need to do this check for overflow.
if (f_result < xnnpack::NumericLimits<T>::min()) {
result[i] = -xnnpack::NumericLimits<T>::infinity();
} else if (f_result > xnnpack::NumericLimits<T>::max()) {
result[i] = xnnpack::NumericLimits<T>::infinity();
} else {
result[i] = compute_float(op_type, a[i], b[i * stride_b]);
}
}
}
VBinaryMicrokernelTester& batch_size(size_t batch_size) {
assert(batch_size != 0);
this->batch_size_ = batch_size;
return *this;
}
size_t batch_size() const { return this->batch_size_; }
VBinaryMicrokernelTester& inplace_a(bool inplace_a) {
this->inplace_a_ = inplace_a;
return *this;
}
bool inplace_a() const { return this->inplace_a_; }
VBinaryMicrokernelTester& inplace_b(bool inplace_b) {
this->inplace_b_ = inplace_b;
return *this;
}
bool inplace_b() const { return this->inplace_b_; }
VBinaryMicrokernelTester& broadcast_b(bool broadcast_b) {
this->broadcast_b_ = broadcast_b;
return *this;
}
bool broadcast_b() const { return this->broadcast_b_; }
VBinaryMicrokernelTester& a_scale(float a_scale) {
assert(a_scale > 0.0f);
assert(std::isnormal(a_scale));
this->a_scale_ = a_scale;
return *this;
}
float a_scale() const { return this->a_scale_; }
VBinaryMicrokernelTester& a_zero_point(uint8_t a_zero_point) {
this->a_zero_point_ = a_zero_point;
return *this;
}
uint8_t a_zero_point() const { return this->a_zero_point_; }
VBinaryMicrokernelTester& b_scale(float b_scale) {
assert(b_scale > 0.0f);
assert(std::isnormal(b_scale));
this->b_scale_ = b_scale;
return *this;
}
float b_scale() const { return this->b_scale_; }
VBinaryMicrokernelTester& b_zero_point(uint8_t b_zero_point) {
this->b_zero_point_ = b_zero_point;
return *this;
}
uint8_t b_zero_point() const { return this->b_zero_point_; }
VBinaryMicrokernelTester& y_scale(float y_scale) {
assert(y_scale > 0.0f);
assert(std::isnormal(y_scale));
this->y_scale_ = y_scale;
return *this;
}
float y_scale() const { return this->y_scale_; }
VBinaryMicrokernelTester& y_zero_point(uint8_t y_zero_point) {
this->y_zero_point_ = y_zero_point;
return *this;
}
uint8_t y_zero_point() const { return this->y_zero_point_; }
VBinaryMicrokernelTester& qmin(uint8_t qmin) {
this->qmin_ = qmin;
return *this;
}
uint8_t qmin() const { return this->qmin_; }
VBinaryMicrokernelTester& qmax(uint8_t qmax) {
this->qmax_ = qmax;
return *this;
}
uint8_t qmax() const { return this->qmax_; }
VBinaryMicrokernelTester& iterations(size_t iterations) {
this->iterations_ = iterations;
return *this;
}
size_t iterations() const { return this->iterations_; }
void Test(xnn_f16_vbinary_ukernel_fn vbinary, OpType op_type,
xnn_init_f16_default_params_fn init_params = nullptr) const;
void Test(xnn_f32_vbinary_ukernel_fn vbinary, OpType op_type,
xnn_init_f32_default_params_fn init_params = nullptr) const;
void Test(xnn_qu8_vadd_minmax_ukernel_fn vadd_minmax,
xnn_init_qu8_add_minmax_params_fn init_params) const;
void Test(xnn_qu8_vmul_minmax_ukernel_fn vmul_minmax,
xnn_init_qu8_mul_minmax_params_fn init_params) const;
void Test(xnn_qs8_vadd_minmax_ukernel_fn vadd_minmax,
xnn_init_qs8_add_minmax_params_fn init_params) const;
void Test(xnn_qs8_vmul_minmax_ukernel_fn vmul_minmax,
xnn_init_qs8_mul_minmax_params_fn init_params) const;
void Test(xnn_qs8_vprelu_ukernel_fn vprelu, OpType op_type,
xnn_init_qs8_vprelu_params_fn init_params) const;
void Test(xnn_qu8_vprelu_ukernel_fn vprelu, OpType op_type,
xnn_init_qu8_vprelu_params_fn init_params) const;
private:
size_t batch_size_{1};
bool inplace_a_{false};
bool inplace_b_{false};
bool broadcast_b_{false};
float a_scale_{0.75f};
float b_scale_{1.25f};
float y_scale_{0.96875f};
uint8_t a_zero_point_{121};
uint8_t b_zero_point_{127};
uint8_t y_zero_point_{133};
uint8_t qmin_{0};
uint8_t qmax_{255};
size_t iterations_{15};
};
#define XNN_TEST_BINARY_BATCH_EQ(ukernel, arch_flags, batch_tile, is_binaryc, \
datatype, ...) \
TEST(ukernel, batch_eq) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
VBinaryMicrokernelTester() \
.batch_size(batch_tile * batch_scale) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
}
#define XNN_TEST_BINARY_BATCH_DIV(ukernel, arch_flags, batch_tile, is_binaryc, \
datatype, ...) \
TEST(ukernel, batch_div) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
if (batch_tile == 1 && batch_scale == 1) return; \
for (size_t batch_size = batch_tile * batch_scale * 2; \
batch_size < batch_tile * batch_scale * 10; \
batch_size += batch_tile * batch_scale) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
}
#define XNN_TEST_BINARY_BATCH_LT(ukernel, arch_flags, batch_tile, is_binaryc, \
datatype, ...) \
TEST(ukernel, batch_lt) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
if (batch_tile == 1 && batch_scale == 1) return; \
for (size_t batch_size = batch_scale; \
batch_size < batch_tile * batch_scale; batch_size++) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
}
#define XNN_TEST_BINARY_BATCH_GT(ukernel, arch_flags, batch_tile, is_binaryc, \
datatype, ...) \
TEST(ukernel, batch_gt) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
const size_t batch_end = batch_tile == 1 ? 10 : batch_tile * 2; \
const size_t batch_step = batch_scale == 1 ? 1 : batch_tile * 2; \
for (size_t batch_size = batch_tile + 1; batch_size < batch_end; \
batch_size += batch_step) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
}
#define XNN_TEST_BINARY_INPLACE_A(ukernel, arch_flags, batch_tile, is_binaryc, \
datatype, ...) \
TEST(ukernel, inplace_a) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
for (size_t batch_size = 1; batch_size <= batch_tile * batch_scale * 5; \
batch_size += std::max(1, batch_tile - 1) * batch_scale) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.inplace_a(true) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
}
#define XNN_TEST_BINARY_INPLACE_B(ukernel, arch_flags, batch_tile, is_binaryc, \
datatype, ...) \
TEST(ukernel, inplace_b) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
for (size_t batch_size = 1; batch_size <= batch_tile * batch_scale * 5; \
batch_size += std::max(1, batch_tile - 1) * batch_scale) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.inplace_b(true) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
}
#define XNN_TEST_BINARY_INPLACE_A_AND_B(ukernel, arch_flags, batch_tile, \
is_binaryc, datatype, ...) \
TEST(ukernel, inplace_a_and_b) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
for (size_t batch_size = 1; batch_size <= batch_tile * batch_scale * 5; \
batch_size += std::max(1, batch_tile - 1) * batch_scale) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.inplace_a(true) \
.inplace_b(true) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
}
#define XNN_TEST_BINARY_A_ZERO_POINT(ukernel, arch_flags, batch_tile, \
is_binaryc, datatype, ...) \
TEST(ukernel, a_zero_point) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
for (size_t batch_size = 1; batch_size <= batch_tile * batch_scale * 5; \
batch_size += std::max(1, batch_tile - 1) * batch_scale) { \
for (int32_t a_zero_point = -128; a_zero_point <= 127; \
a_zero_point += 51) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.a_zero_point(a_zero_point) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
} \
}
#define XNN_TEST_BINARY_B_ZERO_POINT(ukernel, arch_flags, batch_tile, \
is_binaryc, datatype, ...) \
TEST(ukernel, b_zero_point) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
for (size_t batch_size = 1; batch_size <= batch_tile * batch_scale * 5; \
batch_size += std::max(1, batch_tile - 1) * batch_scale) { \
for (int32_t b_zero_point = -128; b_zero_point <= 127; \
b_zero_point += 51) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.b_zero_point(b_zero_point) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
} \
}
#define XNN_TEST_BINARY_Y_ZERO_POINT(ukernel, arch_flags, batch_tile, \
is_binaryc, datatype, ...) \
TEST(ukernel, y_zero_point) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
for (size_t batch_size = 1; batch_size <= batch_tile * batch_scale * 5; \
batch_size += std::max(1, batch_tile - 1) * batch_scale) { \
for (int32_t y_zero_point = -128; y_zero_point <= 127; \
y_zero_point += 51) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.y_zero_point(y_zero_point) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
} \
}
#define XNN_TEST_BINARY_A_SCALE(ukernel, arch_flags, batch_tile, is_binaryc, \
datatype, ...) \
TEST(ukernel, a_scale) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
for (size_t batch_size = 1; batch_size <= batch_tile * batch_scale * 5; \
batch_size += std::max(1, batch_tile - 1) * batch_scale) { \
for (float a_scale = 0.1f; a_scale <= 10.0f; a_scale *= 3.14f) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.a_scale(a_scale) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
} \
}
#define XNN_TEST_BINARY_B_SCALE(ukernel, arch_flags, batch_tile, is_binaryc, \
datatype, ...) \
TEST(ukernel, b_scale) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
for (size_t batch_size = 1; batch_size <= batch_tile * batch_scale * 5; \
batch_size += std::max(1, batch_tile - 1) * batch_scale) { \
for (float b_scale = 0.1f; b_scale <= 10.0f; b_scale *= 3.14f) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.b_scale(b_scale) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
} \
}
#define XNN_TEST_BINARY_Y_SCALE(ukernel, arch_flags, batch_tile, is_binaryc, \
datatype, ...) \
TEST(ukernel, y_scale) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
for (size_t batch_size = 1; batch_size <= batch_tile * batch_scale * 5; \
batch_size += std::max(1, batch_tile - 1) * batch_scale) { \
for (float y_scale = 0.1f; y_scale <= 10.0f; y_scale *= 3.14f) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.y_scale(y_scale) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
} \
}
#define XNN_TEST_BINARY_QMIN(ukernel, arch_flags, batch_tile, is_binaryc, \
datatype, ...) \
TEST(ukernel, qmin) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
for (size_t batch_size = 1; batch_size <= batch_tile * batch_scale * 5; \
batch_size += std::max(1, batch_tile - 1) * batch_scale) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.qmin(128) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
}
#define XNN_TEST_BINARY_QMAX(ukernel, arch_flags, batch_tile, is_binaryc, \
datatype, ...) \
TEST(ukernel, qmax) { \
TEST_REQUIRES_ARCH_FLAGS(arch_flags); \
const size_t batch_scale = get_batch_scale<datatype>(); \
for (size_t batch_size = 1; batch_size <= batch_tile * batch_scale * 5; \
batch_size += std::max(1, batch_tile - 1) * batch_scale) { \
VBinaryMicrokernelTester() \
.batch_size(batch_size) \
.qmax(128) \
.broadcast_b(is_binaryc) \
.Test(__VA_ARGS__); \
} \
}
#endif // XNNPACK_TEST_VBINARY_MICROKERNEL_TESTER_H_