v8/test/cctest/wasm/test-run-wasm-relaxed-simd.cc
Deepti Gandluri c4468c39f0 [wasm-simd] Remove simd lowering compilation env variable
Bug: v8:11613
Change-Id: I25bf720164129c3d95ebc07d0c2a0f6e6b8ee9af
Reviewed-on: https://chromium-review.googlesource.com/c/v8/v8/+/2847473
Reviewed-by: Zhi An Ng <zhin@chromium.org>
Commit-Queue: Deepti Gandluri <gdeepti@chromium.org>
Cr-Commit-Position: refs/heads/master@{#74131}
2021-04-22 23:40:58 +00:00

238 lines
9.3 KiB
C++

// Copyright 2021 the V8 project authors. All rights reserved.
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
#include "src/base/overflowing-math.h"
#include "src/wasm/compilation-environment.h"
#include "test/cctest/cctest.h"
#include "test/cctest/wasm/wasm-run-utils.h"
#include "test/cctest/wasm/wasm-simd-utils.h"
#include "test/common/wasm/flag-utils.h"
#include "test/common/wasm/wasm-macro-gen.h"
namespace v8 {
namespace internal {
namespace wasm {
namespace test_run_wasm_relaxed_simd {
// Use this for experimental relaxed-simd opcodes.
#define WASM_RELAXED_SIMD_TEST(name) \
void RunWasm_##name##_Impl(TestExecutionTier execution_tier); \
TEST(RunWasm_##name##_turbofan) { \
if (!CpuFeatures::SupportsWasmSimd128()) return; \
EXPERIMENTAL_FLAG_SCOPE(relaxed_simd); \
RunWasm_##name##_Impl(TestExecutionTier::kTurbofan); \
} \
TEST(RunWasm_##name##_interpreter) { \
EXPERIMENTAL_FLAG_SCOPE(relaxed_simd); \
RunWasm_##name##_Impl(TestExecutionTier::kInterpreter); \
} \
void RunWasm_##name##_Impl(TestExecutionTier execution_tier)
#if V8_TARGET_ARCH_X64 || V8_TARGET_ARCH_ARM64 || V8_TARGET_ARCH_S390X || \
V8_TARGET_ARCH_PPC64
// Only used for qfma and qfms tests below.
// FMOperation holds the params (a, b, c) for a Multiply-Add or
// Multiply-Subtract operation, and the expected result if the operation was
// fused, rounded only once for the entire operation, or unfused, rounded after
// multiply and again after add/subtract.
template <typename T>
struct FMOperation {
const T a;
const T b;
const T c;
const T fused_result;
const T unfused_result;
};
// large_n is large number that overflows T when multiplied by itself, this is a
// useful constant to test fused/unfused behavior.
template <typename T>
constexpr T large_n = T(0);
template <>
constexpr double large_n<double> = 1e200;
template <>
constexpr float large_n<float> = 1e20;
// Fused Multiply-Add performs a + b * c.
template <typename T>
static constexpr FMOperation<T> qfma_array[] = {
{1.0f, 2.0f, 3.0f, 7.0f, 7.0f},
// fused: a + b * c = -inf + (positive overflow) = -inf
// unfused: a + b * c = -inf + inf = NaN
{-std::numeric_limits<T>::infinity(), large_n<T>, large_n<T>,
-std::numeric_limits<T>::infinity(), std::numeric_limits<T>::quiet_NaN()},
// fused: a + b * c = inf + (negative overflow) = inf
// unfused: a + b * c = inf + -inf = NaN
{std::numeric_limits<T>::infinity(), -large_n<T>, large_n<T>,
std::numeric_limits<T>::infinity(), std::numeric_limits<T>::quiet_NaN()},
// NaN
{std::numeric_limits<T>::quiet_NaN(), 2.0f, 3.0f,
std::numeric_limits<T>::quiet_NaN(), std::numeric_limits<T>::quiet_NaN()},
// -NaN
{-std::numeric_limits<T>::quiet_NaN(), 2.0f, 3.0f,
std::numeric_limits<T>::quiet_NaN(), std::numeric_limits<T>::quiet_NaN()}};
template <typename T>
static constexpr Vector<const FMOperation<T>> qfma_vector() {
return ArrayVector(qfma_array<T>);
}
// Fused Multiply-Subtract performs a - b * c.
template <typename T>
static constexpr FMOperation<T> qfms_array[]{
{1.0f, 2.0f, 3.0f, -5.0f, -5.0f},
// fused: a - b * c = inf - (positive overflow) = inf
// unfused: a - b * c = inf - inf = NaN
{std::numeric_limits<T>::infinity(), large_n<T>, large_n<T>,
std::numeric_limits<T>::infinity(), std::numeric_limits<T>::quiet_NaN()},
// fused: a - b * c = -inf - (negative overflow) = -inf
// unfused: a - b * c = -inf - -inf = NaN
{-std::numeric_limits<T>::infinity(), -large_n<T>, large_n<T>,
-std::numeric_limits<T>::infinity(), std::numeric_limits<T>::quiet_NaN()},
// NaN
{std::numeric_limits<T>::quiet_NaN(), 2.0f, 3.0f,
std::numeric_limits<T>::quiet_NaN(), std::numeric_limits<T>::quiet_NaN()},
// -NaN
{-std::numeric_limits<T>::quiet_NaN(), 2.0f, 3.0f,
std::numeric_limits<T>::quiet_NaN(), std::numeric_limits<T>::quiet_NaN()}};
template <typename T>
static constexpr Vector<const FMOperation<T>> qfms_vector() {
return ArrayVector(qfms_array<T>);
}
// Fused results only when fma3 feature is enabled, and running on TurboFan or
// Liftoff (which can fall back to TurboFan if FMA is not implemented).
bool ExpectFused(TestExecutionTier tier) {
#ifdef V8_TARGET_ARCH_X64
return CpuFeatures::IsSupported(FMA3) &&
(tier == TestExecutionTier::kTurbofan ||
tier == TestExecutionTier::kLiftoff);
#else
return (tier == TestExecutionTier::kTurbofan ||
tier == TestExecutionTier::kLiftoff);
#endif
}
#endif // V8_TARGET_ARCH_X64 || V8_TARGET_ARCH_ARM64 || V8_TARGET_ARCH_S390X ||
// V8_TARGET_ARCH_PPC64
#if V8_TARGET_ARCH_X64 || V8_TARGET_ARCH_ARM64 || V8_TARGET_ARCH_S390X || \
V8_TARGET_ARCH_PPC64
WASM_RELAXED_SIMD_TEST(F32x4Qfma) {
WasmRunner<int32_t, float, float, float> r(execution_tier);
// Set up global to hold mask output.
float* g = r.builder().AddGlobal<float>(kWasmS128);
// Build fn to splat test values, perform compare op, and write the result.
byte value1 = 0, value2 = 1, value3 = 2;
BUILD(r,
WASM_GLOBAL_SET(0, WASM_SIMD_F32x4_QFMA(
WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value1)),
WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value2)),
WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value3)))),
WASM_ONE);
for (FMOperation<float> x : qfma_vector<float>()) {
r.Call(x.a, x.b, x.c);
float expected =
ExpectFused(execution_tier) ? x.fused_result : x.unfused_result;
for (int i = 0; i < 4; i++) {
float actual = ReadLittleEndianValue<float>(&g[i]);
CheckFloatResult(x.a, x.b, expected, actual, true /* exact */);
}
}
}
WASM_RELAXED_SIMD_TEST(F32x4Qfms) {
WasmRunner<int32_t, float, float, float> r(execution_tier);
// Set up global to hold mask output.
float* g = r.builder().AddGlobal<float>(kWasmS128);
// Build fn to splat test values, perform compare op, and write the result.
byte value1 = 0, value2 = 1, value3 = 2;
BUILD(r,
WASM_GLOBAL_SET(0, WASM_SIMD_F32x4_QFMS(
WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value1)),
WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value2)),
WASM_SIMD_F32x4_SPLAT(WASM_LOCAL_GET(value3)))),
WASM_ONE);
for (FMOperation<float> x : qfms_vector<float>()) {
r.Call(x.a, x.b, x.c);
float expected =
ExpectFused(execution_tier) ? x.fused_result : x.unfused_result;
for (int i = 0; i < 4; i++) {
float actual = ReadLittleEndianValue<float>(&g[i]);
CheckFloatResult(x.a, x.b, expected, actual, true /* exact */);
}
}
}
WASM_RELAXED_SIMD_TEST(F64x2Qfma) {
WasmRunner<int32_t, double, double, double> r(execution_tier);
// Set up global to hold mask output.
double* g = r.builder().AddGlobal<double>(kWasmS128);
// Build fn to splat test values, perform compare op, and write the result.
byte value1 = 0, value2 = 1, value3 = 2;
BUILD(r,
WASM_GLOBAL_SET(0, WASM_SIMD_F64x2_QFMA(
WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value1)),
WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value2)),
WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value3)))),
WASM_ONE);
for (FMOperation<double> x : qfma_vector<double>()) {
r.Call(x.a, x.b, x.c);
double expected =
ExpectFused(execution_tier) ? x.fused_result : x.unfused_result;
for (int i = 0; i < 2; i++) {
double actual = ReadLittleEndianValue<double>(&g[i]);
CheckDoubleResult(x.a, x.b, expected, actual, true /* exact */);
}
}
}
WASM_RELAXED_SIMD_TEST(F64x2Qfms) {
WasmRunner<int32_t, double, double, double> r(execution_tier);
// Set up global to hold mask output.
double* g = r.builder().AddGlobal<double>(kWasmS128);
// Build fn to splat test values, perform compare op, and write the result.
byte value1 = 0, value2 = 1, value3 = 2;
BUILD(r,
WASM_GLOBAL_SET(0, WASM_SIMD_F64x2_QFMS(
WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value1)),
WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value2)),
WASM_SIMD_F64x2_SPLAT(WASM_LOCAL_GET(value3)))),
WASM_ONE);
for (FMOperation<double> x : qfms_vector<double>()) {
r.Call(x.a, x.b, x.c);
double expected =
ExpectFused(execution_tier) ? x.fused_result : x.unfused_result;
for (int i = 0; i < 2; i++) {
double actual = ReadLittleEndianValue<double>(&g[i]);
CheckDoubleResult(x.a, x.b, expected, actual, true /* exact */);
}
}
}
#endif // V8_TARGET_ARCH_X64 || V8_TARGET_ARCH_ARM64 || V8_TARGET_ARCH_S390X ||
// V8_TARGET_ARCH_PPC64
WASM_RELAXED_SIMD_TEST(F32x4RecipApprox) {
RunF32x4UnOpTest(execution_tier, kExprF32x4RecipApprox, base::Recip,
false /* !exact */);
}
WASM_RELAXED_SIMD_TEST(F32x4RecipSqrtApprox) {
RunF32x4UnOpTest(execution_tier, kExprF32x4RecipSqrtApprox, base::RecipSqrt,
false /* !exact */);
}
#undef WASM_RELAXED_SIMD_TEST
} // namespace test_run_wasm_relaxed_simd
} // namespace wasm
} // namespace internal
} // namespace v8