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gerrit-public.fairphone.software / platform / external / XNNPACK / da7b2e2c806f75af5e6a5bdb591bfb9d7cd84b4b / . / eval / f32-expm1minus.cc
blob: b2746c5d15b6f2b90ae8302540423aaa9aac7d20 [file] [log] [blame]
// Copyright 2020 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.
#include <algorithm>
#include <cmath>
#include <cstddef>
#include <cstdint>
#include <cstdlib>
#include <iomanip>
#include <ios>
#include <vector>
#include <gtest/gtest.h>
#include <fp16.h>
#include <xnnpack/AlignedAllocator.h>
#include <xnnpack/common.h>
#include <xnnpack/isa-checks.h>
#include <xnnpack/math-stubs.h>
constexpr int kBlockSize = 1024;
#if XNN_ARCH_ARM || XNN_ARCH_ARM64
TEST(EXPM1MINUS__NEON_RR2_LUT16_P3, negative_zero) {
TEST_REQUIRES_ARM_NEON;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__neon_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__NEON_RR2_LUT16_P3, negative_saturation) {
TEST_REQUIRES_ARM_NEON;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__neon_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__NEON_RR2_LUT16_P3, positive_nan) {
TEST_REQUIRES_ARM_NEON;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__neon_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__NEON_RR2_LUT16_P3, negative_nan) {
TEST_REQUIRES_ARM_NEON;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__neon_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_ARM || XNN_ARCH_ARM64
#if XNN_ARCH_ARM || XNN_ARCH_ARM64
TEST(EXPM1MINUS__NEON_RR2_P6, negative_zero) {
TEST_REQUIRES_ARM_NEON;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__neon_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__NEON_RR2_P6, negative_saturation) {
TEST_REQUIRES_ARM_NEON;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__neon_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__NEON_RR2_P6, positive_nan) {
TEST_REQUIRES_ARM_NEON;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__neon_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__NEON_RR2_P6, negative_nan) {
TEST_REQUIRES_ARM_NEON;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__neon_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_ARM || XNN_ARCH_ARM64
#if XNN_ARCH_ARM || XNN_ARCH_ARM64
TEST(EXPM1MINUS__NEONFMA_RR1_LUT16_P3, negative_zero) {
TEST_REQUIRES_ARM_NEON_FMA;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__neonfma_rr1_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__NEONFMA_RR1_LUT16_P3, negative_saturation) {
TEST_REQUIRES_ARM_NEON_FMA;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__neonfma_rr1_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__NEONFMA_RR1_LUT16_P3, positive_nan) {
TEST_REQUIRES_ARM_NEON_FMA;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__neonfma_rr1_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__NEONFMA_RR1_LUT16_P3, negative_nan) {
TEST_REQUIRES_ARM_NEON_FMA;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__neonfma_rr1_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_ARM || XNN_ARCH_ARM64
#if XNN_ARCH_ARM || XNN_ARCH_ARM64
TEST(EXPM1MINUS__NEONFMA_RR1_P6, negative_zero) {
TEST_REQUIRES_ARM_NEON_FMA;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__neonfma_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__NEONFMA_RR1_P6, negative_saturation) {
TEST_REQUIRES_ARM_NEON_FMA;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__neonfma_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__NEONFMA_RR1_P6, positive_nan) {
TEST_REQUIRES_ARM_NEON_FMA;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__neonfma_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__NEONFMA_RR1_P6, negative_nan) {
TEST_REQUIRES_ARM_NEON_FMA;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__neonfma_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_ARM || XNN_ARCH_ARM64
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
TEST(EXPM1MINUS__AVX512F_RR1_LUT16_P3_PERM, negative_zero) {
TEST_REQUIRES_X86_AVX512F;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__avx512f_rr1_lut16_p3_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__AVX512F_RR1_LUT16_P3_PERM, negative_saturation) {
TEST_REQUIRES_X86_AVX512F;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__avx512f_rr1_lut16_p3_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX512F_RR1_LUT16_P3_PERM, positive_nan) {
TEST_REQUIRES_X86_AVX512F;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__avx512f_rr1_lut16_p3_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX512F_RR1_LUT16_P3_PERM, negative_nan) {
TEST_REQUIRES_X86_AVX512F;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__avx512f_rr1_lut16_p3_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
TEST(EXPM1MINUS__AVX512F_RR1_P6, negative_zero) {
TEST_REQUIRES_X86_AVX512F;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__avx512f_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__AVX512F_RR1_P6, negative_saturation) {
TEST_REQUIRES_X86_AVX512F;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__avx512f_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX512F_RR1_P6, positive_nan) {
TEST_REQUIRES_X86_AVX512F;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__avx512f_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX512F_RR1_P6, negative_nan) {
TEST_REQUIRES_X86_AVX512F;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__avx512f_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
TEST(EXPM1MINUS__AVX2_RR1_LUT4_P4_PERM, negative_zero) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__avx2_rr1_lut4_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__AVX2_RR1_LUT4_P4_PERM, negative_saturation) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__avx2_rr1_lut4_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX2_RR1_LUT4_P4_PERM, positive_nan) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__avx2_rr1_lut4_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX2_RR1_LUT4_P4_PERM, negative_nan) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__avx2_rr1_lut4_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
TEST(EXPM1MINUS__AVX2_RR1_LUT8_P4_PERM, negative_zero) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__avx2_rr1_lut8_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__AVX2_RR1_LUT8_P4_PERM, negative_saturation) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__avx2_rr1_lut8_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX2_RR1_LUT8_P4_PERM, positive_nan) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__avx2_rr1_lut8_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX2_RR1_LUT8_P4_PERM, negative_nan) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__avx2_rr1_lut8_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
TEST(EXPM1MINUS__AVX2_RR1_LUT16_P3_GATHER, negative_zero) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__avx2_rr1_lut16_p3_gather(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__AVX2_RR1_LUT16_P3_GATHER, negative_saturation) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__avx2_rr1_lut16_p3_gather(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX2_RR1_LUT16_P3_GATHER, positive_nan) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__avx2_rr1_lut16_p3_gather(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX2_RR1_LUT16_P3_GATHER, negative_nan) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__avx2_rr1_lut16_p3_gather(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
TEST(EXPM1MINUS__AVX2_RR1_P6, negative_zero) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__avx2_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__AVX2_RR1_P6, negative_saturation) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__avx2_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX2_RR1_P6, positive_nan) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__avx2_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX2_RR1_P6, negative_nan) {
TEST_REQUIRES_X86_AVX2;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__avx2_rr1_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
TEST(EXPM1MINUS__AVX_RR2_LUT4_P4_PERM, negative_zero) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__avx_rr2_lut4_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__AVX_RR2_LUT4_P4_PERM, negative_saturation) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__avx_rr2_lut4_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX_RR2_LUT4_P4_PERM, positive_nan) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__avx_rr2_lut4_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX_RR2_LUT4_P4_PERM, negative_nan) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__avx_rr2_lut4_p4_perm(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
TEST(EXPM1MINUS__AVX_RR2_LUT16_P3, negative_zero) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__avx_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__AVX_RR2_LUT16_P3, negative_saturation) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__avx_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX_RR2_LUT16_P3, positive_nan) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__avx_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX_RR2_LUT16_P3, negative_nan) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__avx_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
TEST(EXPM1MINUS__AVX_RR2_P6, negative_zero) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__avx_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__AVX_RR2_P6, negative_saturation) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__avx_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX_RR2_P6, positive_nan) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__avx_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__AVX_RR2_P6, negative_nan) {
TEST_REQUIRES_X86_AVX;
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__avx_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
TEST(EXPM1MINUS__SSE2_RR2_LUT16_P3, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__sse2_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__SSE2_RR2_LUT16_P3, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__sse2_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SSE2_RR2_LUT16_P3, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__sse2_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SSE2_RR2_LUT16_P3, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__sse2_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#if XNN_ARCH_X86 || XNN_ARCH_X86_64
TEST(EXPM1MINUS__SSE2_RR2_P6, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__sse2_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__SSE2_RR2_P6, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__sse2_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SSE2_RR2_P6, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__sse2_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SSE2_RR2_P6, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__sse2_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_X86 || XNN_ARCH_X86_64
#if XNN_ARCH_WASMSIMD
TEST(EXPM1MINUS__WASMSIMD_RR2_LUT16_P3_ANDNOT, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__wasmsimd_rr2_lut16_p3_andnot(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__WASMSIMD_RR2_LUT16_P3_ANDNOT, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_lut16_p3_andnot(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__WASMSIMD_RR2_LUT16_P3_ANDNOT, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_lut16_p3_andnot(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__WASMSIMD_RR2_LUT16_P3_ANDNOT, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_lut16_p3_andnot(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_WASMSIMD
#if XNN_ARCH_WASMSIMD
TEST(EXPM1MINUS__WASMSIMD_RR2_LUT16_P3_MAX, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__wasmsimd_rr2_lut16_p3_max(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__WASMSIMD_RR2_LUT16_P3_MAX, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_lut16_p3_max(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__WASMSIMD_RR2_LUT16_P3_MAX, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_lut16_p3_max(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__WASMSIMD_RR2_LUT16_P3_MAX, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_lut16_p3_max(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_WASMSIMD
#if XNN_ARCH_WASMSIMD
TEST(EXPM1MINUS__WASMSIMD_RR2_P6_ANDNOT, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__wasmsimd_rr2_p6_andnot(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__WASMSIMD_RR2_P6_ANDNOT, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_p6_andnot(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__WASMSIMD_RR2_P6_ANDNOT, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_p6_andnot(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__WASMSIMD_RR2_P6_ANDNOT, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_p6_andnot(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_WASMSIMD
#if XNN_ARCH_WASMSIMD
TEST(EXPM1MINUS__WASMSIMD_RR2_P6_MAX, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__wasmsimd_rr2_p6_max(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__WASMSIMD_RR2_P6_MAX, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_p6_max(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__WASMSIMD_RR2_P6_MAX, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_p6_max(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__WASMSIMD_RR2_P6_MAX, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__wasmsimd_rr2_p6_max(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
#endif // XNN_ARCH_WASMSIMD
TEST(EXPM1MINUS__SCALAR_RR2_LUT4_P4, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__scalar_rr2_lut4_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT4_P4, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__scalar_rr2_lut4_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT4_P4, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__scalar_rr2_lut4_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT4_P4, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__scalar_rr2_lut4_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT8_P3, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__scalar_rr2_lut8_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT8_P3, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__scalar_rr2_lut8_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT8_P3, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__scalar_rr2_lut8_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT8_P3, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__scalar_rr2_lut8_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT8_P4, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__scalar_rr2_lut8_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT8_P4, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__scalar_rr2_lut8_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT8_P4, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__scalar_rr2_lut8_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT8_P4, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__scalar_rr2_lut8_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT16_P3, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__scalar_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT16_P3, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__scalar_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT16_P3, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__scalar_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT16_P3, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__scalar_rr2_lut16_p3(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT16_P4, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__scalar_rr2_lut16_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT16_P4, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__scalar_rr2_lut16_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT16_P4, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__scalar_rr2_lut16_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_LUT16_P4, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__scalar_rr2_lut16_p4(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_P5, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__scalar_rr2_p5(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__SCALAR_RR2_P5, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__scalar_rr2_p5(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_P5, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__scalar_rr2_p5(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_P5, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__scalar_rr2_p5(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_P6, negative_zero) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
std::fill(inputs.begin(), inputs.end(), -0.0f);
xnn_math_f32_expm1minus__scalar_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
const float reference_output = 0.0f;
ASSERT_EQ(reference_output, outputs[0])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[0])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[0]);
}
TEST(EXPM1MINUS__SCALAR_RR2_P6, negative_saturation) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0xC18AA123); n <= UINT32_C(0xFF800000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(n + i, UINT32_C(0xFF800000)));
}
xnn_math_f32_expm1minus__scalar_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
const float reference_output = -1.0f;
ASSERT_EQ(reference_output, outputs[i])
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", reference = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(reference_output)
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_P6, positive_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), n + i));
}
xnn_math_f32_expm1minus__scalar_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}
TEST(EXPM1MINUS__SCALAR_RR2_P6, negative_nan) {
std::vector<float, AlignedAllocator<float, 64>> inputs(kBlockSize);
std::vector<float, AlignedAllocator<float, 64>> outputs(kBlockSize);
for (uint32_t n = UINT32_C(0x7F800001); n < UINT32_C(0x80000000); n += kBlockSize) {
for (uint32_t i = 0; i < kBlockSize; i++) {
inputs[i] = fp32_from_bits(std::min(UINT32_C(0x7FFFFFFF), UINT32_C(0x80000000) | (n + i)));
}
xnn_math_f32_expm1minus__scalar_rr2_p6(kBlockSize * sizeof(float), inputs.data(), outputs.data());
for (uint32_t i = 0; i < kBlockSize; i++) {
ASSERT_TRUE(std::isnan(outputs[i]))
<< "input = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(inputs[i])
<< ", optimized = 0x" << std::hex << std::setw(8) << std::setfill('0') << fp32_to_bits(outputs[i]);
}
}
}